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Review

Advances in Packaging Methods, Processes and Systems

by
Nitaigour Premchand Mahalik
Department of Industrial Technology, Jordan College of Agricultural Sciences and Technology, California State University, Fresno, CA 93740, USA
Challenges 2014, 5(2), 374-389; https://doi.org/10.3390/challe5020374
Submission received: 30 June 2014 / Revised: 17 October 2014 / Accepted: 27 October 2014 / Published: 31 October 2014

Abstract

:
The food processing and packaging industry is becoming a multi-trillion dollar global business. The reason is that the recent increase in incomes in traditionally less economically developed countries has led to a rise in standards of living that includes a significantly higher consumption of packaged foods. As a result, food safety guidelines have been more stringent than ever. At the same time, the number of research and educational institutions—that is, the number of potential researchers and stakeholders—has increased in the recent past. This paper reviews recent developments in food processing and packaging (FPP), keeping in view the aforementioned advancements and bearing in mind that FPP is an interdisciplinary area in that materials, safety, systems, regulation, and supply chains play vital roles. In particular, the review covers processing and packaging principles, standards, interfaces, techniques, methods, and state-of-the-art technologies that are currently in use or in development. Recent advances such as smart packaging, non-destructive inspection methods, printing techniques, application of robotics and machineries, automation architecture, software systems and interfaces are reviewed.

1. Introduction

Worldwide sales of processed food have reached more than $2 trillion. Of this, packaged foods take up almost $1 trillion. Research has shown that the increase of incomes in traditionally less economically developed countries has led to a rise in standards of living. Consequently, consumers in these countries have switched from staples such as rice and barley to processed food [1,2]. Packaging is the cornerstone of the food processing industry [3]. In fact, the processing and packaging industry transforms food from one stage to another based on appropriate techniques and methods, and the entire chain of events can be subsumed under this one phrase. As seen in Figure 1, packaging consists of a diverse array of options. Processing and packaging includes under its banner five important stages. It is driven by health and hygiene factors, food safety, high quality, fresh tasting, and balanced vitamins and nutrients [4]. Other important aspects of food processing and packaging are toxin removal, marketing and distribution, maintenance of taste, year-round availability, and long shelf-life [5]. There are other benefits as well. Processed foods are preserved longer, protected from dust, moisture, and micro-organisms, and are odor-free. The advent of machineries, robotics, and automation technology has driven down the overall cost of processed food versus original food products. The California Institute of Food and Agricultural Research at the University of California, Davis reported that research areas for the food processing and packaging industry [6] would include (i) optimization of equipment and utilities; (ii) food safety and security; (iii) supply chain waste reduction; (iv) development of seasonal infrastructure; and (v) advanced automation and control methods. In summary, the productivity of a typical food processing plant depends on (i) pre-preparation; (ii) processing and preservation methods; (iii) packaging materials; (iv) systems for material flow; (v) automation, instrumentation, and control scheme; (vi) degree of smartness in the sensors; (vii) sophistication in the machineries and mechanisms (including application of robotics); (viii) inspection methods; (ix) printing methods; (x) security identification; (xi) graphic design and digital work flow; (xii) sanitation and sterilization; and (xiii) factory-wide execution management strategy including supply-chain management [7,8,9,10].
Figure 1. Conveyor system used in tomato processing [11,12,13,14].
Figure 1. Conveyor system used in tomato processing [11,12,13,14].
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2. Materials and Advanced Packaging Methods

This section presents several types of packaging materials followed by advanced packaging methods. Packaging materials are selected based on the specific food types. Oxygen-sensitive foods require packaging with barrier properties that can prevent spoilage due to oxidation. Plastics have been used for a long time, but sustainable and green protocols recommend forgoing plastics for other materials that are biodegradable and environmentally friendly. As most packaging generates waste, there is renewed focus on creating sustainable packaging and some of the examples of those materials are polylactide acid (PLA) plastics, sugar cane pulp, fiber composite, starch-based films, and so on. Woods and glass are also used as packaging materials for a long time. Aluminum packaging provides an impermeable barrier to protect food. It is chemically neutral, non-toxic and non-tainting. Some foods need to be kept in a dark environment [15,16,17,18,19]. Aluminum is good in this respect [20]. Efficient packaging can mean cheaper, safer, and more hygienic foods. Active packaging is one of the ideas where the packaging material itself interacts with the food to confer longer shelf-life, higher safety, and improved hygiene. The presence of iron in such an approach slows down the oxidation process. Yet another approach is modified atmosphere packaging (MAP), whereby the package atmosphere has an artificially reduced oxygen level and inflated carbon dioxide level. Smart packaging, an advanced active packaging, relates to use of sensors. Fuzzy logic and neural networks have been incorporated to develop intelligent sensors [18] that have soft thresholds between reject–accept classifications of food. Nanotechnology-based packaging, another level of packaging principle, is drawing attention recently. This approach is concerned with molecular-level material manipulation that can reduce spoilage or oxidation. Furthermore, there is secure hygienic production, processing and shipment. Nanotechnology-based sensors and coating materials can be used for pathogen and contaminant detection and tracing. Nanoscale silica spheres [16,17,18] filled with molecules of a fluorescent dye have already been developed and are compatible with meat packaging, where they are able to detect the presence of the poisonous E. coli 0157 bacteria [19]. Food monitoring based on anti-counterfeit technologies is currently in the research and development stage at various companies. Important research studies in nanotechnology-based smart packaging are barrier, mechanical and heat-resistance properties, sensing and signaling microbiological and biochemical changes, and traceability. Moreover, sustainability has emerged as the new face of the packaging industry, and one essential tool that can be used to trigger sustainability is Life Cycle Inventory (LCI). LCI provides a detailed description of how a raw material is extracted until the end of its life and includes: (i) material and energy used in the packaging; (ii) wastes involved in the process; (iii) percentage of gases emitted into the air per package; (iv) usage of water over the entire life cycle of a package; and (v) whether the packaging material is dumped into the land or recycled or reused. Thus, inclusion of lifecycle information into the packaging system is gaining momentum.

3. Packaging Machineries and Automation Systems

Food processors use a variety of machines for different production lines and for various food types. Several machine types are integrated into a single packaging line. Some of the machine types are cartooning, wrapping, labeling, shrinking, sealing, case and tray forming, caping, cooling and drying, feeding, palletizing, picking and placing (robotic systems), cleaning and sterilizing, in addition to inspection and detecting machines. According to the Organization for Machine Automation and Control (OMAC) [21], the number of packaging machine types employed in a packaging line ranges from two to ten.
Food conveying systems in the plant: Medium to large-scale plants require an efficient means for food transport through the assembly line. Usually, transportation is achieved via conveyor systems and they are the real work force. Figure 1 shows a conveyor system in a tomato processing plant. Note that the total length of the entire conveyer system in a large-scale tomato processing plant could be up to one kilometer or more.
The conveying systems perform functions such as washing, flipping, rotating, pushing, indexing, diverting, or accumulating products at various points in the product line. Some conveyor systems run around the clock for two to three months because of harvesting season. Their capabilities and limitations are therefore enforced and influenced by material and physical properties such as tension, length, and friction, as well as operational capability that include electrical systems. Also, there are various metrics to consider during the selection and installation of a conveyor system, such as appropriate material, ergonomic and user-friendly interfaces, flexibility and scalability, application environment (horizontal, vertical or incline), and load capacity [22]. Industrial food processing requires a wide range of conveyor belts depending upon the applications. Some of the conveyor types are roller, vertical reciprocating, horizontal, gravity, sortation, accumulation, dual timing, carousel indexing, round belt, end drive, incline, vacuum, vibratory, wheel, and wire mesh conveyors. Creating a safe environment free of toxins and contaminants is one of the great challenges in building a conveying system.
The most important aspects of conveyor design are not the automation and control or electrical interfacings, however the materials used for the mechanical structure. Stainless steel is recommended to prevent microorganism growth in crevices and small joints in the belt system. The issue here is that over time bacterial biofilms form on stagnate areas. Anti-bacterial coating materials such as modified polyolefine improve safe food production [16]. The anti-bacterial coating contains an additive that prevents the growth of microorganisms on belt surfaces. Cleaning in regular intervals can prevent the issue. Cleaning is usually done with high temperature. Sometimes chemical sanitizers or physical scrubbing is required to prevent food contamination with pathogens such as listeria, salmonella, and staphylococcus. Essentially, there are other contaminants besides the bacterial forms. Known as food soils, these are sugar, fats, proteins, and minerals from extraneous substances. The removal of the food soils depends upon the food product being processed. There are several methods adopted: foam, high pressure, clean-in/out-place and mechanical. Commonly used procedures are pre-rinse, rinse, acid rinse, and sanitize. The Hazard Analysis and Critical Control Point (HACCP) Working Group addresses food safety. The scope of the activity includes analysis and control of biological, chemical, and physical hazards from raw material production, procurement and handling, to manufacturing, distribution and consumption of the finished product.
Application of robots: Applications of robots are found in welding and assembly lines. Food processing is still a minor application area for robots. Higher cost and lower productivity are leading towards increased application of robots in the food sector [23,24]. Robotic system can pack meat and chocolates into the trays faster. FANUC robotics, Inc. has developed several models of pick-and-place articulated robot for the food industry that meet stringent hygiene requirements. The exterior design is smooth with no dark/damp regions for contaminants or microorganisms. The robot comprises of several arms called kinematic chains linking their base to mobile parts. Some robotic system can handle 300 parts a minute and attain accelerations of 200 m per square second with loads of two kilograms.
Many food processing plants are constantly automating their final product with the palletizing robot due to the demand for increased productivity. The sophisticated control system with a built-in palletizing function makes it possible to load and unload the objects with high precision and accuracy. Robotic palletizers can handle up to four production lines and multiple product types simultaneously. Their compact design makes them ideal for small space. Depalletizers provide an efficient means to sort containers from bulk layered pallets onto a conveyor or conveying system. Some palletizers are equipped with up to more than 4000 slots. The system also palletizes 1000 cases with a load of 20 lbs.; working hours up to 10 h per day for 5–6 days is common. The machine can provide quality, reliable and high performance palletizer solutions to diversified industries. KUKA Robotics is one of the world’s leading manufacturers of industrial robots, with an annual production volume approaching 10,000 units, and an installed base of over 75,000 units. The company’s five and six-axis robots range from 3 kg to 570 kg payloads, and 635 mm to 3700 mm reach.
Automation: According to ARC Advisory Group [25] the food industries are in a state of change driven by cost of operations. This change is driving the need for automation solutions and IT equipment that can enable the industry to become leaner and more agile. Increasing safety and liability issues are a major concern for food companies and they are affecting their investment decisions. The need for more automated traceability has become a basic requirement. Although PLC (Programmable Logic Controller)-based architecture has been commonly used in the food industry, they were not designed for making secure electronic records, nor were they designed with version control and software security in mind. It is becoming increasingly difficult to make PLCs compliant with Food and Drug Administration (FDA) regulations. The FDA and USDA (U.S. Department of Agriculture) will be looking for evidence of control system validation for regulated food processes. There are about 28,000 establishments manufacturing food [26] in the US. Processed food sales worldwide are in the order of trillions of dollars and over tens of millions of people work in the industry. Implementation of advanced automation and control strategy in the food packaging domain plays a vital role. Compared to traditional methods, advanced control methods have several advantages. The traditional methods use discrete electronics, PLCs, Industrial Computers and even high-computing systems such as the DSP (Digital Signal Processor) platform. These automation platforms have issues such as reliability, flexibility, scalability. For example, PC- or PLC-based systems are considered to be redundant because they require maintenance and additional expertise. They have restricted interoperability due to incompatibility in host-platform requirements. Similarly, DSP systems require customization and expertise in addition to being very costly.
Conversely, the modern food industry entails sophisticated control architecture. The food processing and packaging control system embeds a generic set of essential requirements with regard to timing, error diagnostics, coordination, periphery-control acknowledgement, and synchronization. Moreover, its imperative error recovery and fault corrections are needed during run time [27]. Furthermore, the control systems should satisfy other fault-tolerant features such as interlock checking, lockout checking, and user-friendly, intuitive status display with error messaging. Applying modern control network technology to the food industry can markedly improve food productivity, manufacturing, preservation, and handling. Currently, however, the industry’s automation systems are predominantly centralized. Though there is some modular approach, the overall system is implemented with static functionality.
The conventional PC-, PLC-, or DSP-based centralized automation strategy characterizes a central processing unit with peripheral devices such as sensors, actuators, and drives. One of the important requirements is the integration of drive systems, I/O interfacings, instrumentation hardware, supports for diagnostics and prognostics, data collection and operator interfaces. The architecture needed to be flexible in terms of extendibility, scalability and configurability to enable features to be developed independently and added, modified or removed, along with the addition of new features required for the future [28].
Figure 2. Distributed Control Architecture [29].
Figure 2. Distributed Control Architecture [29].
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In order to be able to know about the appropriate control strategy for the food industry, the author conducted a survey. It was found that the industry preferred to implement the Distributed Control System (DCS) (Figure 2) instead of a more centralized one, because of its advantageous flexibility over the whole operating range. Other benefits include low implementation cost, easy maintenance, configurability, scalability, and modularity. The potential benefits of adopting decentralized automation have been widely recognized. However, fully integrated, distributed, agile and open control systems still need to be addressed [30]. DCS interconnects devices with a single serial link and it is evidently a four-layer automation service. The bottom layer, referred to as the device level, includes the physical components such as micro-controller and sensors, actuators and switches. The interface layer is similar to the MAC sub-layer of the link layer protocol. The process layer includes application layer features. Since the control system does not transfer raw data through a physical media, an application layer should exist in the automation architecture. The application layer defines the variables, which are responsible for transferring data from one place to another when they are connected logically. Advances in distributed control principles indeed influenced many kinds of automation and control applications. Although a dedicated networking system for the food industry does not yet exist, the available proprietary standards are somehow adequate because they provide essential features in order to implement both DCS (Distributed Control Systems) and SCADA (Supervisory Control and Data Acquisition) architectures [30]. Fieldbus technology is preferred for DCS implementation. The leading fieldbuses with their characteristics can be seen in [31]. The technology includes a protocol, which can transmit and receive digital data through multiple media and channels. Recently, many fieldbuses have been made available in the technology marketplace. For industrial control applications, the type of bus used is described as a sensor-bus or device-bus, and it usually deals with devices such as sensors, motors, drives, switches and valves providing process variable information. In summary, the fieldbus provides a good basis for distributed real-time control implementation which is essential in food processing and packaging areas. It has been successfully tried and tested in many applications, including a wide range of general industrial applications from food processing, to conveyor system automation and packaging plant automation.
Fieldbuses are classified based on topology, processing power, type, and speed. The leading fieldbuses with their characteristics can be seen in [3]. There is a need for short production cycles with high performance and efficiency. Using fieldbus controls result in about 55% capital savings. There are various proprietary standards, including ModBus, PROFIBUS DP, CAN, LonWorks, FOUNDATION FIELDBUS, AS-I, SERCOS, and InterBus. Selecting the appropriate fieldbus for food plant applications is nontrivial due to the lack of a standard. The ProLinx Modbus TCP/IP serves as a gateway to BOSCH Packaging Machinery, creating a powerful connection between devices on an EtherNet/IP network and BOSCH packaging machinery. It is claimed that the MNET-BSCH modules are the ideal solution for the many applications where Modbus TCP/IP connectivity can be used to integrate BOSCH Packaging Machinery devices into a system. Profibus-DP technology is chosen by a beverage bottler in Germany to control its blow-molding machines. In addition, french fry carton maker Roberts PolyPro adopted Profibus technology for a new high-speed french fry scoop maker that can run at 1800 ft/min. DeviceNet, a system level product from CAN fieldbus, is used for a linear motor system that powers continuous vertical form-fill-seal and horizontal flow-wrapping equipment. The controller also incorporates the I/O for the sensing and actuation functions associated with the process, such as registration mark detection and zip position sensor. Using CANopen communication, the motion control system links to an operator panel, which allows the operator to define zip length, pouch size, etc. [32]. Echelon’s LonWorks technology, a fieldbus system and more, has been designed for several automation applications. Energy management is one of the important areas in fast food restaurant franchises. Fast food chains seek to manage labor and energy costs along multiple nodes of their supply chain. Echelon reports that McDonald’s franchise has already developed green kitchen technology via LonWorks fieldbus, which is a part of its LEED-Gold certification, a designation marking. FIELDBUS FOUNDATION has been successful in the food and beverage industry. Carlton and United Breweries, Australia’s leading beer brewer, is one of the top five brewers in the world, producing more than half the beer consumed in Australia; it requires tight process control as beer production is a complex method. The company embarked on a $17 million plan to replace the filtration room with a fieldbus-based control system that uses Fisher-Rosemount PlantWeb® architecture [3,4,5].
Appropriate selection of technology standards can improve the effectiveness of food production, processing and packaging. Readily available enabling and foolproof technologies can facilitate plug and play modular design strategy. Food processing and packaging industries entail: (i) integrated tool-set for design, implementation, installation, maintenance and modification of the automation architecture according to requirements; (ii) connectivity to support change; (iii) generic but flexible data models to accommodate emerging standards; (iv) flexible information storage mechanisms; (v) runtime functionality across the system based on enterprise-wide network technology; and (vi) dynamic configuration and re-configuration of run-time systems over a distributed wireless platform, providing the inherent flexibility.

4. Safety, Traceability, and Supply Chain

The most important requirement in food production and packaging is food safety. According to the USDA, more than 75 million people per year become ill from food poisoning. In the US, per year, 325,000 people are hospitalized, and 5000 of them die from pathogens like salmonella and E. coli that can be found in raw meat products. The FDA has widened food safety regulations to encompass vegetables, including tomato and jalapeno, as these industries have suffered big losses due to pathogens. Food safety research activities entail combined knowledge and understanding from both science and engineering, as well as technology fields. The importance of this collaborative effort is to use the expertise in these mutually inclusive sub-fields so as to help understand and eventually find the best feasible solution to real-world problems.
In food processing and packaging, traceability has been extremely important in order to maintain not only safety but also the authenticity of the product. The ability to trace and authenticate a product is of major concern. By and large, traceability is understood as the completeness of the information about every step in a process chain. In the foreseeable future, traceability guidelines will come into play that would even include withdrawal of dangerous food products from the market, operator responsibilities and requirements applicable to imports and exports, as reported. Currently, the bar coding and RFID (Radio Frequency Identification) methods are very popular for exchanging information sophisticatedly. RFID technology provides many advantages for temperature and humidity monitoring and tracking. Compared to conventional circuitry, RFID confirms a reduced amount of required instrumentation and interfacings. The most important feature with RFID is that it does not demand manual scanning without ever requiring line of sight between the tags and the reader, thereby saving considerable time and man hours, as well as decreasing the number of errors.
Research interests in these areas are biosensors design intended for the detection of pathogens in food and cells. Broadly, the interests are feasibility study and characterization of various spectroscopy and imaging approaches in order to enhance the sensitivity of the detection of target pathogens, and design of devices by the use of appropriate technology and methods. Considering the speed of detection, sensitivity, precision, accuracy, size and cost, the research should focus on analysis, design and development of biosensors as well, as other interfacing devices such as microfluidic devices and systems.
Technology-driven inspection: Automated food inspection is necessary to reduce both labor costs and maintain high productivity. Two important methods are widely used: X-ray-based inspection and multispectral inspection. The absorption differences of X-rays are caused by the variations in density or thickness in the food to be packaged. It is possible to detect both small and large product contaminants such as plastic, glass, bone, rubber, stone, and metal in food. Image processing, known as the non-destructive method for food inspection and grading [33], has been a recent trend. Recent developments in hardware and software have expanded to accommodate multispectral and hyperspectral imaging technique for advanced food quality and safety inspection, including detection of disease, defects, and contamination. The dual-band spectral imaging systems have a two-port camera system that consists of two identical monochrome CCD cameras, an optical system, and two narrow bandpass filters. The optical components of the imaging system consist of a lens unit, a beamsplitter, two bandpass filters and two back lens units. The basic principle involves the reflected light of an object being collected by the front lens and split by the beamsplitter such that 50% is reflected at a right angle and the rest is allowed to pass through straight. Two bandpass filters are enclosed in C-mount filter holders and attached at each exit port of the beamsplitter. Fourier Transform Infrared spectroscopy is applied to detect bacterial spoilage. Based on differences observed at unique wavelengths, near-infrared chemical imaging is investigated as a tool for the high-throughput analysis of self-contained microbial identification including quality attributes such as physical and chemical characteristics, including determination of fat, protein, moisture and connective tissue content.
Package printing methods and security: The use of printing inks also in food packaging falls under the jurisdiction of the Food and Drug Administration (FDA). The regulations in effect require that the ink materials be manufactured under safe conditions. It is recommended that the ink be composed of organic compounds. Rubber plates with a raised image area are printed with quick-drying inks directly on foil, plastic wrap, and other material. The typical composition of inks consists of colorants, binders, and carriers, depending upon the application. High quality inks and varnishes address many technical expectations including specific resistance, curing time, safety, and sustainable environmental requirements. Flexography printing process is appropriate for plastic-based cartons, and wrappers. Lithographic printing permits the reproduction and printing of finer screen rulings and photographic images. The electron Beam (EB) printing procedure facilitates the coating and drying of adhesives without heat or light. Some food manufacturers incorporate packaging security in printing to combat anything from consumer tampering to bioterrorism to product counterfeiting. Processors and suppliers adopt a variety of techniques to keep food safe from such interferences.
Supply chain and transportation: The transportation industry lacks a uniform and formal security policy for the food supply chain. Loaded and unloaded vehicles are often left unattended and sometimes are parked overnight in insecure as well as unsupervised areas. These locations are manually secluded and include production farms, transfer points, remote places, and hauling company property and even hauler residences. The existing methods used for securing during transport are very much paper intensive and prone to manual errors. There is thus a pressing need for the bulk transportation sectors to establish an enhanced security system that will reduce manual recording errors and enable normal transport activities, while providing peace-of-mind delivery strategy (Figure 3). The design of the transport security system incorporated all of the critical design requirements to ensure the secure transport of food between locations and specifically between farms, transfer stations, receiving stations and processors. The most important requirement in the food supply chain is the real-time data management for several reasons, though the prime concerns are safety and security. To ensure the production as well as delivery of quality products, food processors have to be able to efficiently produce, manage, and track items, information and resources throughout the supply chain, including across the enterprise. Concerns about food safety, potential liability issues as well as issues related to bio-security among consumers and suppliers are contributing to the increased demand for real-time information in terms of cradle-to-grave data management, security and safety (CDMS3) for food and food products.
Figure 3. A model for a secure supply chain transportation system.
Figure 3. A model for a secure supply chain transportation system.
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Growers, suppliers, and handlers must be aware of issues concerning the shelf life and shipping requirements of produce to ensure freshness, quality and minimum loss. The shipper should protect the produce from extreme temperatures during transport. The important involved parameters are temperature, humidity and ethylene. These parameters affect internal quality, the tendency of fruit to rot, and dehydration. Moreover, some products generate ethylene, potentially damaging other products in the same transportation carrier. There comes the issue of load compatibility during shipping. Many commodities can be handled in unison because of their inherent characteristics. Although packing of typical food is carefully maintained as regards to relative humidity and insulation, presently a dedicated data management system for real-time remote monitoring and management of mixed load shipping is again not available [34]. Furthermore, because much food product shipping is managed by a third party, during transportation, both bio- and social security are of prime concern. To optimize the transportation conditions that can minimize impact of transportation on shelf life, environmental conditions during the long transportation period in temperature-controlled trailers are to be analyzed to detect spatial variation and time course environmental changes inside the trailers.

5. Software and Workflow

Much like in other industries, an enterprise-wide software system plays a vital role in the food industry. In order to keep track of performance, most food industries have been using new methods and techniques, including lean principles and Six Sigma. There are IT solutions to support steady improvement by increasing visibility on plant performance and to implement easy-to-use technologies. It was reported earlier that Packaging Execution Systems (PES) are IT solutions that support the production processes in the food industry [35]. PES especially closes the gap between the ERP (Enterprise Resource Planning) software kernel and equipment control systems such as DCS and SCADA (Supervisory Control And Data Acquisition). Because of the advent of technology and interoperability, PES now can support enterprise-wide internal supply chain management, production process, real-time automation and control, data collection and reporting. Some PES embeds production intelligence in order to improve production performance. Depending on the size of the plant, diversity of operations and the level of required intelligence, enterprise-wide networks vary. Several protocols are used on the same physical platform. The data carried are diverse and come from production, maintenance, stores and purchase, utilities and chemicals, marketing and sales, finance, administration, and transport and logistics. Apparently, wireless network, RFID technology, modular database, fieldbus technology, client-server-based connection, rouch screen human interface, handheld applications, local wireless standards (e.g., Bluetooth), etc. have been common practice to incorporate CDMS in food industry (Figure 4).
Figure 4. Components of a modern enterprise-wide food processing plant.
Figure 4. Components of a modern enterprise-wide food processing plant.
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Standardization has a major impact on system integration. In an attempt to harmonize the line of thinking as regards to processing and packaging technology the OMAC Users Group (UG) took a step in order to collectively derive common solutions for both technical and non-technical issues in the development, implementation, and commercialization of open, modular architecture control (OMAC) technologies [36]. The objective is to enhance flexibility, capability, and reduce integration costs. The guidelines for Packaging Automation version 3.1 documents the original guidelines developed by the group. There are five packaging sub-groups and their dedicated activities are as reported previously [35]: (i) PackSoft: Guidelines for machinery programming languages; (ii) PackConnect: Define control architecture platforms and connectivity; (iii) PackAdvantage: Identify the benefits of connect and pack guidelines; (iv) PackML: Naming convention communications; and (v) PackLearn: Educational and training needs of the industry. For detailed information, readers may visit the OMAC site [37].
E-maintenance: The food industry faces diverse challenges such as government regulations, harsh working conditions and complex equipment requiring constant maintenance to preserve safety and standards. The need for continuous cleaning mostly creates a wet environment which in turn causes havoc on processing machineries and equipment. Food safety regulations can affect a company in many different ways. The Hazardous Analysis and Critical Control Point (HACCP) regulation is an FDA quality-related guideline. E-maintenance has becoming a trend in food industries. E-maintenance integrates software backbone, information and communication technology for remote monitoring and control. Advanced technology systems such as sensor network, RFID, apps, and open-system standards are used to replace human-centered maintenance.

6. Trends

The recent trend is that food processing and packaging companies have been constantly upgrading the entire automation and supply chain processes (ASCP), utilizing advanced technology systems in the manufacturing and production areas, assembly lines, monitoring and control, instrumentation, data management and processing, and machineries [38]. Quality, cost, and productivity have been a mandatory requirement in food processing and packaging [39]. All this means an effective system-of-systems approach to ASCP that also includes (a) knowledge-based management and decision support systems; (b) novel technologies and strategies; (c) new technologies for waste reduction; (d) technologies for effective water and energy management and optimization; (e) waste reductions, recycling and reuse, sustainable technology; and, finally; (f) adaptation of ideas to face challenges and provide solutions. ASCP not only entails interdisciplinary knowledge, but also trans-disciplinary knowledge [40] that embeds the latest processing and packaging principles and practices. Furthermore, in-plant research activities on how new science, engineering, and technology should be utilized in process, production, machineries, planning, management and logistics, and communication have been a recent trend [41]. Above all, food companies are now eager to establish more academic and professional links in order to provide opportunities to build community engagement [42]. Many industries have units to handle programs such as formation of membership database with partnering and client companies, development and submission and research grants and proposals, creation of internships and paid projects. The objectives of these programs are to establish organizational links and provide ad hoc information to the community and professional societies through industry–institute interactions. They also help establish indirect publicity and achievement plans, prepare future customers, remain aware of underlying principle and food processing integration methods (the designs, control systems and instrumentation, computer software and management, machine interfaces, and technology trends) for the promotion of technology-related business for the future, as well as understand organizational structure and hierarchy in staffing and professionals for future recruitment at the time of enhancements, share research and development knowledge, and distribute documentation for societal acceptance to their business strategies; these have all been new additions under trans-disciplinary entities [43].

7. Conclusions

This paper is intended to provide an overview of the materials, methods, technology, systems, and standards which are being adopted in typical modern-day food industries. Food processing and automation systems involve multidisciplinary activities. This paper reviewed some aspects of packaging materials, regarding security and sustainability. It then discussed the particulars of the machineries. Advanced automation and control solutions for food industries are highlighted. In particular, features of DCS and its compatible technology—the fieldbus—was suggested. Supply chain management, including a technology-driven transportation system and its components, were identified and presented. Various inspection methods researched at several institutes were briefed. The usefulness of robotic platforms has been presented. A brief description on accepted printing methods was presented. Along with OMAC guidelines for the packaging industry, paper also presents the role of PES similar to MES in manufacturing sectors. The paper concludes with a picture that illustrates how various interoperable systems such as bluetooth standards, wireless network, RFID technology, fieldbus technology, modular object-oriented DBMS, client-server-based distributed architecture, Human—Machine Interface and graphics, and user-friendly handheld devices play vital roles in a typical modern-day food processing plant.

Acknowledgments

The author acknowledges the Jordan College of Agricultural Sciences and Technology and Provost Office, California State University, Fresno, CA, USA for providing assigned time for the preparation of this manuscript.

Conflicts of Interest

The author declares no conflict of interest.

References

  1. Manalili, N.M.; Dorado, M.A.; van Otterdijk, R. Appropriate Food Packaging in Developing Countries; Food and Agricultural Organization: Rome, Italy, 2014. [Google Scholar]
  2. Pingali, P.L. Agricultural Diversification: Opportunities and Constraints. In Proceedings of the FAO Rice Conference, FAO of United Nations, Rome, Italy, 12–13 February 2004.
  3. Mahalik, N.P.; Nambiar, A. Trends in food packaging and manufacturing systems and technology. Trends Food Sci. Technol. J. 2010, 21, 115–164. [Google Scholar] [CrossRef]
  4. Mahalik, N.P. Survey on Food Processing and Packaging Technology. In Presented at Mini Symposium on Industrial Technology Links, Sponsored by Advance Technology Enterprises, California State University, Fresno, CA, USA, 13 March 2008; pp. 1–40.
  5. Mahalik, N.P. Processing and Packaging Automation Systems: A Review. Special Issue on Advances in Food Automation. Sens. Instrum. Food Qual. Saf. 2009, 3, 12–25. [Google Scholar] [CrossRef]
  6. Kapoor, R.; Kulkarni, P.; Jenkins, N.; Krebs, M.; Blevins, B.B. Technology Roadmap Energy Efficiency in California’s Food Industry. In California Energy Commission Public Interest Energy Research Program No. CEC-500-2006-073; University of California: Davis, CA, USA, 2006. [Google Scholar]
  7. Washing down Drives without Washing down Profits. Available online: http://www.gates.com/~/media/Files/Gates/Industrial/Power%20Transmission/White%20Papers/WashingdowndrivesSM.pdf (accessed on 30 June 2014).
  8. Yuliani, S.; Torley, P.; D’Arcy, B.R.; Nicholson, T.; Bhandari, B.R. Effect of extrusion parameters on flavour retention, functional and physical properties of mixtures of starch and D-limonene encapsulated in milk protein. Int. J. Food Sci. Technol. 2006, 41, 83–94. [Google Scholar] [CrossRef]
  9. Komilis, D.P.; Ham, R.K. Life-cycle inventory of municipal solid waste and yard waste windrow composting in the United States. J. Environ. Eng. 2004, 130, 1390–1400. [Google Scholar] [CrossRef]
  10. Food Packaging: Roles, Materials, and Environmental Issues. Available online: http://www.ift.org/knowledge-center/read-ift-publications/science-reports/scientific-status-summaries/food-packaging.aspx (accessed on 30 June 2014).
  11. Fleming, P.; Barton, B. Campbell’s Challenge: Growing Lots of Tomatoes in Water-Scarce California, Water Currents. Available online: http://newswatch.nationalgeographic.com/2013/10/22/campbells-challenge-growing-lots-of-tomatoes-in-water-scarce-california/ (accessed on 22 October 2013).
  12. Deepak Engineers. Available online: http://dir.indiamart.com/pune/tomato-processing-plants.html (accessed on 30 June 2014).
  13. Mahalik, N.P. Automation and Control in Processing and Packaging and Students Research. In Jordan College of Agricultural Sciences and Technology (JCAST) Centennial Poster, May 4th; WET Lab, CSU: Fresno, CA, USA, 2011. [Google Scholar]
  14. Food Processing Machine. Available online: http://www.indiamart.com/deepakengineers/food-processing-machine.html (accessed on 30 June 2014).
  15. Shen, Q.; Kong, F.K.; Wang, Q. Effect of modified atmosphere packaging on the browning and lignification of bamboo shoots. J. Food Eng. 2006, 77, 348–354. [Google Scholar] [CrossRef]
  16. Türk, V.; Knowles, H.; Wallbaum, H.; Kastenholz, H.; Liedtke, C.; Kaiser, C.; Goodman, J.; Murray, V.; Schaller, S.; Köhler, A. The Future of Nanotechnology: We Need to Talk, European Union Specific Support Action Nanologue Project Report (‘FP6-2003-NMP-TI-3-main’); Beacon Press: Boston, MA, USA, 2006. [Google Scholar]
  17. Parry, V. Food Fight on the Tiny Scale; The Times: London, UK, 2006. [Google Scholar]
  18. Tselentis, G.; Marcelloni, F.; Martin, T.; Sensi, L. Odour Classification Based on Computational Intelligence Techniques in Advances in Computational Intelligence and Learning, Methods and Applications; In International Series in Intelligent Technologies; Zimmermann, H.-J., Tselentis, G., van Someren, M., Dounias, G., Eds.; Kluwer Academic Publishers: Dordrecht, The Netherlands, 2002; pp. 383–399. [Google Scholar]
  19. ElAmin, A. UK Nanotechnology Research Directed at Food Industry. Available online: http://www.foodproductiondaily.com/news/ng.asp?n=64251-nanotechnology-defra-pathogen (accessed on 30 June 2014).
  20. Labberton, M.G. Aluminum Is Packaging; European Aluminum Association: Brussels, Belgium, 1997. [Google Scholar]
  21. OMAC. Why PackML is Good for Packaging Lines. Packaging World, 2012; pp. 54–58. Available online: http://www.controldesign.com/assets/knowledge_centers/br/assets/BR_PW_Playbook_JUNE2012.pdf (accessed on 30 June 2014).
  22. Nazzal, D.; El-Nashar, A. Survey of Research in Modeling Conveyor-Based Automated Material Handling Systems in Wafer Fabs. In Proceedings of the Simulation Conference, Washington, DC, USA, 9–12 December 2007; pp. 1781–1788.
  23. Pantelidis, I.S. High Tech Foodservice; An Overview of Technological Advancements. In Proceedings of the Annual Research Conference, Eastbourne, UK, 13–15 May 2009.
  24. Robots Improve Manufacturing Success & Create Jobs. Available online: http://www.ifr.org/news/ifr-press-release/ifr-robots-improve-manufacturing-success-create-jobs-469/ (accessed on 30 June 2014).
  25. ARC Knowledge Center for CPG, Food and Beverage Industry Professionals. Available online: http://www.arcweb.com/industries/pages/cpg-food-and-beverage.aspx (accessed on 30 June 2014).
  26. U.S. Department of Commerce (Industry Report). Available online: http://trade.gov/td/ocg/report08_processedfoods.pdf (accessed on 30 June 2014).
  27. Xie, C.; Mahalik, N.P.; Pu, J.; Moore, P.R. Virtual Distributed Control Systems: A Components-Based Design Method for Mechatronic Systems; Assembly Automation: Emerald, UK, 2006; Volume 26, pp. 44–53. [Google Scholar]
  28. Estévez, E.; Marcos, M.; Orive, D. Automatic generation of PLC automation projects from component-based models. Int. J. Adv. Manuf. Technol. 2007, 35, 527–540. [Google Scholar] [CrossRef]
  29. Mahalik, N.P.; Ryu, J.; Ahn, B.H. Simulation integrated management layer for real-time embedded distributed control network. Comput. Stand. Interfaces 2006, 28, 508–522. [Google Scholar] [CrossRef]
  30. Mahalik, N.P.; Yen, M. Extending fieldbus technology to food processing industry. Comput. Stand. Interfaces 2008, 31, 586–598. [Google Scholar] [CrossRef]
  31. Mahalik, N.P. Fieldbus Technology; Springer-Verlag: Berlin, Germany, 2003. [Google Scholar]
  32. Packaging Machine for Resealable Food (CAN Newsletter Motion Control 2005). Available online: http://www.can-cia.org/index.php?id=279 (accessed on 30 June 2014).
  33. Park1, B.; Kise, M.; Lawrence, K.C.; Windham, W.R.; Yoon, S.C. Portable Multispectral Imaging Instrument for Food Industry. In Proceedings of the Food Processing Automation Conference, ASABE, Providence, RI, USA, 28–29 June 2008.
  34. Connolly, M.; O’Reilly, F. Sensor Networks and the Food Industry. In Proceedings of the Workshop on Real-World Wireless Sensor Networks, Stockholm, Sweden, 20–21 June 2005.
  35. Packaging Execution Systems Benefit Lean Manufacturing Initiatives. ARC Advisory Group, 2007. Available online: http://www.systech-tips.com/pes/pdfs/pes-english.pdf (accessed on 30 June 2014).
  36. Packaging Workgroup within OMAC Users Group. Connect and Pack: Guidelines for Packaging Machinery Automation; Version 3.1; OMAC: Reston, VA, USA, 2006; pp. 1–135. [Google Scholar]
  37. OMAC Packaging Guidelines. Available online: http://www.omac.org (accessed on 30 June 2014).
  38. Wegrzyn, T.F.; Golding, M.; Archer, R.H. Food Layered Manufacture: A new process for constructing solid foods. Trends Food Sci. Technol. 2012, 27, 66–72. [Google Scholar] [CrossRef]
  39. Hung, H.C.; Sung, M.H. Applying six sigma to manufacturing processes in the food industry to reduce quality cost. Sci. Res. Essays 2011, 6, 580–591. [Google Scholar]
  40. Fleischhacker, S.; Johnson, D.; Quinn, E.; Jilcott Pitts, S.B.; Byker, C.; Sharkey, J.R. Advancing Rural Food Access Policy Research Priorities: Process and Potential of a Transdisciplinary Working Group. J. Agric. Food Syst. Community Dev. 2013, 3, 201–212. [Google Scholar]
  41. Dobermann, A.; Nelson, R.; Beever, D.; Bergvinson, D.; Crowley, E.; Denning, G.; Giller, K.; d’Arros Hughes, J.; Jahn, M.; Lynam, J.; et al. Solutions for Sustainable Agriculture and Food Systems, Technical Report for the Post-2015 Development Agenda; Thematic Group on Sustainable Agriculture and Food Systems of the Sustainable Development Solutions Network, Food Systems Development (Center for Transformative Action): New York, NY, USA, 2013. [Google Scholar]
  42. Howard, P.H. Increasing Community Participation with Self-Organizing Meeting Processes. J. Rural Soc. Sci. 2012, 27, 118–136. [Google Scholar]
  43. Fung, D.Y.C. Rapid Methods and Automation in Microbiology: Past, Present, and Future. In Proceedings of the Food Processing & Technology Conference, Las Vegas, NV, USA, 21–23 July 2014.

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Mahalik, N.P. Advances in Packaging Methods, Processes and Systems. Challenges 2014, 5, 374-389. https://doi.org/10.3390/challe5020374

AMA Style

Mahalik NP. Advances in Packaging Methods, Processes and Systems. Challenges. 2014; 5(2):374-389. https://doi.org/10.3390/challe5020374

Chicago/Turabian Style

Mahalik, Nitaigour Premchand. 2014. "Advances in Packaging Methods, Processes and Systems" Challenges 5, no. 2: 374-389. https://doi.org/10.3390/challe5020374

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