The Enabling Role of Industry 4.0 for Customer Centricity and Environmental Sustainability

A special issue of Systems (ISSN 2079-8954).

Deadline for manuscript submissions: closed (15 November 2021) | Viewed by 10356

Special Issue Editors


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Guest Editor
Laboratory of Research and Innovation for Smart Enterprises, Department of Mechanical and Industrial Engineering, University of Brescia, 25121 Brescia BS, Italy
Interests: supply chain management; demand forecasting; inventory management; digital manufacturing

E-Mail Website
Guest Editor
Department of Mechanical and Industrial Engineering, University of Brescia, 25121 Brescia, Italy
Interests: Industry 4.0; digital supply chain; digital technologies; platform; manufacturing supply chain; knowledge management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway
Interests: logistics; production planning and control; simulation; manufacturing strategy; operations management; supply chain management

E-Mail Website
Guest Editor
Laboratory of Research and Innovation for Smart Enterprises, Department of Mechanical and Industrial Engineering, University of Brescia, 25121 Brescia BS, Italy
Interests: supply chain management; service management; circular economy

Special Issue Information

Dear Colleagues,

The process of globalization, mass customization, and competitive business environment has shown that the “traditional” enterprise is facing new business challenges in today’s turbulent economy (Simmert et al. 2019; Kamble, Gunasekaran, and Gawankar 2018). The demand for shorter delivery time, more efficient and automated processes, higher quality, and customized products is driving companies toward the so-called fourth industrial revolution, which is normally known as Industry 4.0 (I4.0). This innovative paradigm is well known by academics and industrial practitioners, acknowledged as the practice of adopting digital technological solutions in industrial production (Facchini et al., 2019; Strandhagen et al., 2017).

The main objective of I4.0 is to gather and utilize real-time information to achieve vertical integration, horizontal integration, and end-to-end engineering, where functional areas, value chain networks, as well as entire product lifecycles are all connected and linked (Mourtzis et al., 2019; Saucedo-Martínez et al., 2018). The 4.0 paradigm is spreading both in developed and developing countries., even though in different ways and with different results (Choi and Choi, 2018; Weber et al. 2017; Dalenogare et al. 2018; Zheng et al. 2019).

The area of greatest impact of I4.0 is manufacturing, with the topics investigated ranging from improving production processes to optimizing operational performance, developing products or services, and supply chain planning (Zheng et al. 2020). In fact, the scientific literature offers many contributions dealing with the impacts and applications of Industry 4.0 to support production and scheduling activities. Since the introduction of this concept, scholars have focused on understanding the effects of the adoption of digital technologies on the performance of manufacturing departments of manufacturing companies with particular emphasis on increasing process efficiency.

This result is perfectly in line with the principles that gave rise to I4.0, i.e., the wish to effectively impact the efficiency of production processes thanks to the power of digital technologies. Indeed, on the one hand, it is possible to reduce the time and costs in relation to production assets and machines and, on the other hand, the technologies applied to maintenance processes improve the performance and reliability parameters in the production department. However, in recent years, studies about other processes in production and operations management such as internal logistics and supply chain planning have been increasing. Therefore, research developments are shifting more and more from the individual factory to a broader vision of the whole supply chain (Frederico et al. 2019).

Likewise, the aims described in the literature are also changing. This is demonstrated by to the increasing trend of associating the adoption of I4.0 enabling technologies with phenomena focused on meeting specific customer needs (i.e., servitization, product-service systems (PSS) , value co-creation, customer-oriented business model innovation) and the concept of circular economy. These strands, which are developed independently in the literature of I4.0, are increasingly interconnected (Ardolino et al. 2018; Bressanelli et al. 2018; Sklyar et al 2019; Lopes de Sousa Jabbour et al. 2018; Nascimento et al. 2019). Therefore, this transformation has led to an increasing emphasis on the importance of the customer and environmental sustainability, promoting the focus on ‘customer centricity’.

Putting the customer at the centre of I4.0 favors the implementation and delivery of increasingly advanced and customized solutions. Indeed, thanks to the great savings achievable in terms of consumption of resources and emissions, I4.0 focuses on the sustainable aspect by stimulating increasingly environmentally friendly processes.

This Special Issue thus aims to promote research concerning the applications and impacts on Industry 4.0, beyond the effects on the production department. In particular, we are seeking studies investigating the role of Industry 4.0 in achieving both customer-focused and environmental friendly application in the manufacturing context. We are especially interested in innovative papers adopting empirical methodologies such as surveys or case studies.

References:

  • Ardolino, Marco, Mario Rapaccini, Nicola Saccani, Paolo Gaiardelli, Giovanni Crespi, and Carlo Ruggeri. 2018a. “The Role of Digital Technologies for the Service Transformation of Industrial Companies.” International Journal of Production Research 56 (6): 2116–2132. doi:10.1080/00207543.2017.1324224.
  • Bressanelli, Gianmarco, Federico Adrodegari, Marco Perona, and Nicola Saccani. 2018b. “Exploring How Usage-Focused Business Models Enable Circular Economy through Digital Technologies.” Sustainability (Switzerland) 10 (3): 639. doi:10.3390/su10030639.
  • Choi, Y.-H., and S.-H. Choi. 2018. “A Study of Crossing the Chasm in Applying Smart Factory System for SMEs.” International Journal of Pure and Applied Mathematics.
  • Dalenogare, Lucas Santos, Guilherme Brittes Benitez, Néstor Fabián Ayala, and Alejandro Germán Frank. 2018. “The Expected Contribution of Industry 4.0 Technologies for Industrial Performance.” International Journal of Production Economics 204 (July). Elsevier B.V.: 383–394. doi:10.1016/j.ijpe.2018.08.019.
  • Facchini, F., Oleśków-Szłapka, J., Ranieri, L. and Urbinati, A. (2019), “A Maturity Model for Logistics 4.0: An Empirical Analysis and a Roadmap for Future Research”, Sustainability, Vol. 12 No. 1, p. 86.
  • Frank, Alejandro G., Glauco H.S. Mendes, Néstor F. Ayala, and Antonio Ghezzi. 2019. “Servitization and Industry 4.0 Convergence in the Digital Transformation of Product Firms: A Business Model Innovation Perspective.” Technological Forecasting and Social Change 141 (July 2018). Elsevier: 341–351. doi:10.1016/j.techfore.2019.01.014.
  • Frederico, Guilherme F., Jose Arturo Garza-Reyes, Anthony Anosike, and Vikas Kumar. 2019. “Supply Chain 4.0: Concepts, Maturity and Research Agenda.” Supply Chain Management: An International Journal 25 (2): 262–282. doi:10.1108/SCM-09-2018-0339.
  • Kamble, Sachin S., Angappa Gunasekaran, and Shradha A. Gawankar. 2018. “Sustainable Industry 4.0 Framework: A Systematic Literature Review Identifying the Current Trends and Future Perspectives.” Process Safety and Environmental Protection 117 (July). Institution of Chemical Engineers: 408–425. doi:10.1016/j.psep.2018.05.009.
  • Lopes de Sousa Jabbour, Ana Beatriz, Charbel Jose Chiappetta Jabbour, Moacir Godinho Filho, and David Roubaud. 2018. “Industry 4.0 and the Circular Economy: A Proposed Research Agenda and Original Roadmap for Sustainable Operations.” Annals of Operations Research 270 (1–2). Springer US: 273–286. doi:10.1007/s10479-018-2772-8.
  • Mourtzis, D., Fotia, S., Boli, N. and Vlachou, E. (2019), “Modelling and quantification of industry 4.0 manufacturing complexity based on information theory: a robotics case study”, International Journal of Production Research, Taylor & Francis, Vol. 57 No. 22, pp. 6908–6921.
  • Nascimento, Daniel Luiz Mattos, Viviam Alencastro, Osvaldo Luiz Gonçalves Quelhas, Rodrigo Goyannes Gusmão Caiado, Jose Arturo Garza-Reyes, Luis Rocha-Lona, and Guilherme Tortorella. 2019. “Exploring Industry 4.0 Technologies to Enable Circular Economy Practices in a Manufacturing Context.” Journal of Manufacturing Technology Management 30 (3): 607–627. doi:10.1108/JMTM-03-2018-0071.
  • Saucedo-Martínez, J.A., Pérez-Lara, M., Marmolejo-Saucedo, J.A., Salais-Fierro, T.E. and Vasant, P. (2018), “Industry 4.0 framework for management and operations: a review”, Journal of Ambient Intelligence and Humanized Computing, Springer Berlin Heidelberg, Vol. 9 No. 3, pp. 789–801.
  • Simmert, Benedikt, Philipp Alexander Ebel, Christoph Peters, Eva Alice Christiane Bittner, and Jan Marco Leimeister. 2019. “Conquering the Challenge of Continuous Business Model Improvement.” Business & Information Systems Engineering 61 (4): 451–468. doi:10.1007/s12599-018-0556-y.
  • Sklyar, Alexey, Christian Kowalkowski, Bård Tronvoll, and David Sörhammar. 2019. “Organizing for Digital Servitization: A Service Ecosystem Perspective.” Journal of Business Research 104. Elsevier: 450–460.
  • Strandhagen, Jan Ola, Logan Reed Vallandingham, Giuseppe Fragapane, Jo Wessel Strandhagen, Aili Biriita Hætta Stangeland, and Nakul Sharma. 2017. “Logistics 4.0 and Emerging Sustainable Business Models.” Advances in Manufacturing 5 (4). Shanghai University: 359–369. doi:10.1007/s40436-017-0198-1.
  • Weber, Marc-André, Tim Jeske, Frank Lennings, and Sascha Stowasser. 2017. “Productivity Strategies Using Digital Information Systems in Production Environments.” In IFIP Advances in Information and Communication Technology, 338–345. doi:10.1007/978-3-319-66923-6_40.
  • Zheng, Ting, Marco Ardolino, Andrea Bacchetti, Marco Perona, and Massimo Zanardini. 2019. “The Impacts of Industry 4.0: A Descriptive Survey in the Italian Manufacturing Sector.” Journal of Manufacturing Technology Management. Emerald Group Publishing Ltd. doi:10.1108/JMTM-08-2018-0269.
  • Zheng, Ting, Marco Ardolino, Andrea Bacchetti, Marco Perona. 2020. “The applications of Industry 4.0 technologies in Manufacturing context: a systematic literature review.” International Journal of Production Research. doi:10.1080/00207543.2020.1824085.

Dr. Andrea Bacchetti
Dr. Marco Ardolino
Prof. Dr. Jan Ola Strandhagen
Prof. Dr. Marco Perona
Guest Editors

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Keywords

  • industry 4.0
  • digital transformation
  • smart supply chain
  • servitization
  • product-service system
  • circular economy
  • sustainability

Published Papers (2 papers)

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20 pages, 11629 KiB  
Article
An Assessment Framework for the Transformation of Mobility 4.0 in Smart Cities
by Hakan Inac and Ercan Oztemel
Systems 2022, 10(1), 1; https://doi.org/10.3390/systems10010001 - 23 Dec 2021
Cited by 16 | Viewed by 3857
Abstract
Investing in digital transformation turns out to be a strategic action to tackle contemporary issues and to improve competitiveness for enterprises. The high variability of options in the digital transformation process enforces a higher complexity level in configuring and setting up objectives and [...] Read more.
Investing in digital transformation turns out to be a strategic action to tackle contemporary issues and to improve competitiveness for enterprises. The high variability of options in the digital transformation process enforces a higher complexity level in configuring and setting up objectives and goals based on cities’ needs; hence, a systematic approach is required to assist decision makers for better and sustainable transformation. A reference model is described in this paper to support decision makers with comprehensive assessment data for digital transformation cities transport. The proposed reference model assesses the cities based on digital transformation of transport services to assist policy makers for better decisions in transforming the Mobility 4.0. The proposed model in this study functions as a knowledge-based systematic framework for assessing the capabilities of the cities, diagnosing their needs under given circumstances and identifying the best fitting workflow for digital transformation of urban transportation systems and related services. The reference model takes on board a group of smart city indices with respective assessment criteria in determining a smartness level of transportation components. A conceptual 4-tier smartness scale has been proposed to establish a consistent assessment subject to cities circumstances in many respects. The reference model has been formalised into a mathematical model to characterise the assessments. The mathematical model encompasses strategic assessments by experts to identify priorities of investments in the digitalization process, which are aligned with strategic goals and policies of cities’ management. Full article
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20 pages, 711 KiB  
Article
The Enabling Role of Digital Technologies in Sustainability Accounting: Findings from Norwegian Manufacturing Companies
by Olena Klymenko, Lise Lillebrygfjeld Halse and Bjørn Jæger
Systems 2021, 9(2), 33; https://doi.org/10.3390/systems9020033 - 10 May 2021
Cited by 14 | Viewed by 5303
Abstract
Sustainability accounting is an emerging research area receiving growing awareness. This study examines the role of digital technology in manufacturing companies’ sustainability accounting. To guide the research, we use a triple layered business model canvas, which supports the accounting of a manufacturer’s performance [...] Read more.
Sustainability accounting is an emerging research area receiving growing awareness. This study examines the role of digital technology in manufacturing companies’ sustainability accounting. To guide the research, we use a triple layered business model canvas, which supports the accounting of a manufacturer’s performance for the economic, environmental, and social aspects of sustainability. We present an explorative case study of four Norwegian manufacturing companies representing different industries. The findings from the study indicate that while accounting for economic values is well taken care of, companies do not perform comprehensive environmental and social accounting. Furthermore, we observed a shift from a focus on sustainability issues related to the internal manufacturing process to a focus on sustainability issues for the life cycle of the product. Even though the manufacturers are at the forefront with regard to automation and control of production, with extensive use of robots giving a large amount of data, these data are not utilized towards sustainability accounting, showing that sustainability and digitalization are seen as two separate phenomena. This study sheds light on how digital data available from applied Industry 4.0 technologies could enhance sustainability accounting with limited efforts, linking sustainability and digitalization. The results provide insights for manufacturers and researchers in moving towards more sustainable operations and products. Full article
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