2,521 research outputs found
The impact of Industry 4.0 implementation on supply chains
Purpose
The study aims to analyse the impact of Industry 4.0 implementation on supply chains and develop an implementation framework by considering potential drivers and barriers for the Industry 4.0 paradigm.
Design/methodology/approach
A critical literature review is performed to explore the key drivers and barriers for Industry 4.0 implementation under four business dimensions: strategic, organisational, technological and legal and ethical. A system dynamics model is later developed to understand the impact of Industry 4.0 implementation on supply chain parameters, by including both the identified driving forces and barriers for this technological transformation. The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.
Findings
Industry 4.0 is predicted to bring new challenges and opportunities for future supply chains. The study discussed several implementation challenges and proposed a framework for an effective adaption and transition of the Industry 4.0 concept into supply chains.
Research limitations/implications
The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains.
Practical implications
The study is expected to benefit supply chain managers in understanding the challenges for implementing Industry 4.0 in their network.
Originality/value
Simulation analysis provides examination of Industry 4.0 adoption in terms of its impact on supply chain performance and allows incorporation of both the drivers and barriers of this technological transformation into the analysis. Besides providing an empirical basis for this relationship, a new conceptual framework is proposed for Industry 4.0 implementation in supply chains
Impact of RFID information-sharing coordination over a supply chain with reverse logistics
Companies have adopted environmental practices such as reverse logistics over the past few decades. However, studies show that aligning partners inside the green supply chain can be a substantial problem. This lack of coordination can increase overall supply chain cost. Information technology such as Radio Frequency Identification (RFID) has the potential to enable decentralized supply chain coordinate their information. Even though there are research that address RFID on traditional supply chain, few researches address how to coordinate RFID information sharing in a green supply chain. We study, through simulation experiments, two types of RFID information-sharing coordination under different configurations related with their inventory policies: basic and advanced. Statistical analyses show that better results can be presented in advanced RFID configuration given new coordination and inventory policy decisions presented. In addition, these findings shows what are the RFID information-sharing coordination that can provide better system improvement depending on the supply chain scenarios and factors
A Review of Supply Chain Data Mining Publications
The use of data mining in supply chains is growing, and covers almost all aspects of supply chain management. A framework of supply chain analytics is used to classify data mining publications reported in supply chain management academic literature. Scholarly articles were identified using SCOPUS and EBSCO Business search engines. Articles were classified by supply chain function. Additional papers reflecting technology, to include RFID use and text analysis were separately reviewed. The paper concludes with discussion of potential research issues and outlook for future development
Backlog control in optoelectronic production using a digital twin
Digital twins are becoming increasingly popular in industry and are being used in various areas, such as production planning and control. Logistics performance still needs to be improved, especially in highly complex and automated production processes such as optoelectronics. The significant challenges faced by industrial companies today, such as stricter quality standards, smaller quantities and shorter product life cycles, exacerbate this phenomenon. In this context, digital twins offer a point of reference for improvement by providing an additional database that can be used to make more informed decisions in realtime. The novel contribution of this paper is the design of a simulation as a digital twin in the context of optoelectronic production. It is used to simulate a variety of backlog scenarios in production planning and to provide an additional source of data for backlog control. We also present an application example of how the digital twin can reduce backlogs in the production process. The simulation indicates that the designed model can effectively support the improvement of logistics performance by addressing the significant challenges in modern production
RFID for returnable container management in the automotive industry: A Discrete-Event Simulation approach
Returnable containers are a critical factor to ensure quality of manufacturing operations in the automotive industry. However, containers management is still affected by chronic issues, such as containers shortage, losses or inefficient handling. Research and industry experts agree the “Achilles’s heel” of current practice is the lack of accurate and timely data about containers flow throughout the complex automotive supply chain. Moreover, containers handling operations still rely on manual operations. Radio Frequency Identification (RFID) is a technology that allows for automatic extraction of items flow data at key points along the supply chain, without the need of manual operations, and represents a very interesting solution for returnable containers management. RFID has already been employed in many different sectors, since giants as Wal-Mart or the United States (U.S.) Department of Defense adopted it for their supply-chain. Several approaches have been adopted in literature to explore potential applications of this technology, but few studies focus on automotive returnable containers management. In this work, a Discrete-Event Simulation (DES) approach is proposed to evaluate the impact of RFID on automotive returnable containers supply chain. The model has been developed in collaboration with Fiat Chrysler Automobiles (FCA). Applying factorial design and ANOVA relevant benefits of using RFID have been identified. The same model has been used to define main influencing factors in containers supply chain performance
Visual analytics for supply network management: system design and evaluation
We propose a visual analytic system to augment and enhance decision-making processes of supply chain managers. Several design requirements drive the development of our integrated architecture and lead to three primary capabilities of our system prototype. First, a visual analytic system must integrate various relevant views and perspectives that highlight different structural aspects of a supply network. Second, the system must deliver required information on-demand and update the visual representation via user-initiated interactions. Third, the system must provide both descriptive and predictive analytic functions for managers to gain contingency intelligence. Based on these capabilities we implement an interactive web-based visual analytic system. Our system enables managers to interactively apply visual encodings based on different node and edge attributes to facilitate mental map matching between abstract attributes and visual elements. Grounded in cognitive fit theory, we demonstrate that an interactive visual system that dynamically adjusts visual representations to the decision environment can significantly enhance decision-making processes in a supply network setting. We conduct multi-stage evaluation sessions with prototypical users that collectively confirm the value of our system. Our results indicate a positive reaction to our system. We conclude with implications and future research opportunities.The authors would like to thank the participants of the 2015 Businessvis Workshop at IEEE VIS, Prof. Benoit Montreuil, and Dr. Driss Hakimi for their valuable feedback on an earlier version of the software; Prof. Manpreet Hora for assisting with and Georgia Tech graduate students for participating in the evaluation sessions; and the two anonymous reviewers for their detailed comments and suggestions. The study was in part supported by the Tennenbaum Institute at Georgia Tech Award # K9305. (K9305 - Tennenbaum Institute at Georgia Tech Award)Accepted manuscrip
An Appraisal of Traceability Systems for Food Supply Chains in Colombia
Traceability systems have improved significantly in the last few years in relation to safeguarding food safety and quality. Although traceability is considered to be an effective tool in supporting quality control, the adoption of different traceability systems along the supply chain can bring the drawback of information asymmetry, which affects inventory management. This paper explores adoption alternatives that may facilitate the blend of traceability technologies in the food industry of developing countries. The analysis is based on a simulation model that represents the behaviour of inventory and food quality in the case of the mango supply chain in Colombia. The results show the asymmetries between traceability systems along the supply chain as well as their effects on inventory and food quality
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