Intelligent Logistics and Supply Chain Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: 20 July 2024 | Viewed by 2653

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Special Issue Information

Dear Colleagues,

Globalization and fast-changing technological developments have a direct impact on supply chain design and management. When managing the supply chain's components, modern supply chain procedures must be adaptable, proactive, integrated, and information driven. Customers who use intelligent logistics and supply chain systems are given the ability to precisely control every stage of the transportation lifecycle, including contracting, planning, executing, and tracking shipments, as well as having control over managing yards, making appointments, and financial issues.

The goal of this Special Issue on “Intelligent Logistics and Supply Chain Systems” is to establish a dynamic platform where different knowledge streams will be concentrated in order to exchange knowledge and experiences that promote innovation in these areas. Moreover, this Special Issue aims to present practical innovations in intelligent logistics systems and promote the practicality of the intelligent logistics system and supply chain management process for optimizing the design of the intelligent logistics system and supply chain management.

Prof. Dr. Panagiotis Tsarouhas
Guest Editor

Manuscript Submission Information

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Keywords

  • smart logistics
  • E-supply chains
  • ICT systems
  • risk management
  • supply chain network design
  • green logistics
  • data analytics
  • demand forecasting
  • inventory management
  • innovation
  • lean and agile
  • TQM
  • sustainability
  • IoT
  • big data and robotics
  • planning and scheduling

Published Papers (3 papers)

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Research

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16 pages, 802 KiB  
Article
A Coordinated Supply Contract for a Two-Echelon Supply Chain Considering Learning Effects
by Ze-Jin Tao and Pyung-Hoi Koo
Appl. Sci. 2024, 14(4), 1513; https://doi.org/10.3390/app14041513 - 13 Feb 2024
Viewed by 702
Abstract
In a supply chain composed of multiple members, supply chain coordination plays a crucial role in achieving overall optimization and efficiency. Various supply contract forms have been studied in the existing literature to facilitate supply chain coordination. However, most existing literature has established [...] Read more.
In a supply chain composed of multiple members, supply chain coordination plays a crucial role in achieving overall optimization and efficiency. Various supply contract forms have been studied in the existing literature to facilitate supply chain coordination. However, most existing literature has established coordination models assuming constant production costs. In reality, per-unit production costs often decrease as production quantity increases, which is called the learning effect. This paper underscores the significance of considering this learning effect in decision-making processes for coordinated supply contracts. We propose a supply contract scheme for channel coordination that incorporates the learning effect within a supply chain comprising a single manufacturer and a single retailer. In this framework, the manufacturer acts as a Stackelberg leader, initiating the process by designing and presenting the contract. The supply contract scheme is designed to ensure that the retailer’s order quantity aligns with the global solution. We also demonstrate how the contract parameters are determined when the relative bargaining powers of the supply chain members are given exogenously in the market. Our findings reveal that contracts with a learning curve can generate additional profits for both the manufacturer and the retailer compared to the existing coordinated contracts with static production costs. This study provides valuable insights into the impact of the learning effect on supply chain efficiency and offers practical implications for supply chain practitioners. Full article
(This article belongs to the Special Issue Intelligent Logistics and Supply Chain Systems)
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28 pages, 5888 KiB  
Article
How to Find Disruptions in Logistics Processes in the Cold Chain and Avoid Waste of Products?
by Augustyn Lorenc
Appl. Sci. 2024, 14(1), 255; https://doi.org/10.3390/app14010255 - 27 Dec 2023
Viewed by 981
Abstract
This article presents a review of the literature related to the topic discussed and then discusses the system enabling the collection of data for analysis, the components of which are described in the paper. Next, a case study containing analyses of the circulation [...] Read more.
This article presents a review of the literature related to the topic discussed and then discusses the system enabling the collection of data for analysis, the components of which are described in the paper. Next, a case study containing analyses of the circulation of logistic containers and the quality of deliveries is presented. Finally, a discussion of the results is presented. Background: This research is instrumental in navigating the intricacies of using these insulated containers of disturbances in the cold supply chain is imperative for ensuring the safety of perishable items, pharmaceuticals, and medical provisions, all of which necessitate precise temperature storage. Moreover, it holds significant sway over the efficacy of logistics, curtails losses, and guarantees adherence to regulatory stipulations and quality benchmarks. Research target: The research aimed to analyze the circulation of isothermal containers and indirectly assess the transportation quality for food products using the example of a 3PL company. Method: The article addresses issues encountered in the transportation of products within the cold supply chain. Using a company as an example, the temperature of coolboxes at the beginning of the logistics cycle, temperature distribution during transportation, and the temperature at the end of delivery were analyzed. The circulation of containers, their utilization over time, cycle durations, and the entire container circulation process were also examined. Results: Based on the collected data, recommendations were formulated to enhance product quality and increase container utilization. This research offers valuable insights into improving the efficiency and quality of logistics processes, specifically within the cold chain transportation industry, and provides recommendations for better managing temperature-sensitive product transportation. Full article
(This article belongs to the Special Issue Intelligent Logistics and Supply Chain Systems)
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Review

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25 pages, 1306 KiB  
Review
Critical Steps and Conditions to Be Included in a Business Model in Logistics, Seeking Competitive Advantage from the Perspective of the Modern Digital Age and Industry 4.0
by Panagiotis Tsarouhas and Nikolaos Papaevangelou
Appl. Sci. 2024, 14(7), 2701; https://doi.org/10.3390/app14072701 - 23 Mar 2024
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Abstract
The main purpose of this study is to research the literature and examine how logistics companies can effectively integrate modern digital technologies of Industry 4.0 internally and then present the most critical steps and conditions that determine the successful operation of an innovative [...] Read more.
The main purpose of this study is to research the literature and examine how logistics companies can effectively integrate modern digital technologies of Industry 4.0 internally and then present the most critical steps and conditions that determine the successful operation of an innovative business model in logistics, as well as the expected benefits of this process. This study was written entirely as a literature review. Four steps of literature review research were completed: (a) initial formulation of the problem, (b) search of literature sources, (c) selection and evaluation of articles, and d) final classification and presentation of data. The results show that the most critical steps and conditions that contribute to the successful adoption of new Industry 4.0 technologies in the business models of logistics companies are Business Model Innovation, Digital Transformation, Quality 4.0, Human Resource Management, and Logistics 4.0. These critical prerequisites and Industry 4.0 architecture are now at the forefront of logistics, proving the key role they play in modernizing a business and gaining competitive advantage, and to fully reap these benefits, businesses must be prepared to adapt their organizational culture, embrace change, and invest in the necessary resources. Full article
(This article belongs to the Special Issue Intelligent Logistics and Supply Chain Systems)
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