Showing papers on "Supply chain management published in 2022"

Principles of Supply Chain Management: A Balanced Approach

Abstract: Streamline your studying and get the grade you want with PRINCIPLES OF SUPPLY CHAIN MANAGEMENT: A BALANCED APPROACH, Second Edition. With this textbook, you'll learn from real case studies, as well as games--like The Beer Game Supply Chain Management Simulation--how to understand and apply supply chain management. The coverage in this text uses a broad brush to encompass OM, purchasing, and logistics with a supply chain management focus, covering a great deal of content that isn't currently available elsewhere. The book guides you through how all aspects of supply chain activity are accomplished effectively and efficiently. It brings you the real world of supply chain management. The authors break down supply chain issues into purchasing, operations, and logistics. This is one of the most--if not the most--balanced supply chain management texts available, and it follows a natural flow through the supply chain. The well-organized chapters include excellent case studies, demonstrating the practical application of supply chain management in the workplace. Profiles throughout the text reinforce the studies, and help to reinforce your learning. This second edition also includes a number of new cases, in addition to the previous 15 cases, all packaged on the Student CD. Each of the 14 chapters includes revised and updated Supply Chain Management in Action opening features, e-Business Connection features, Global Perspective features, and company examples to ensure that current supply chain management issues are covered in depth.

Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia

Abstract: In Malaysia, manufacturing industry is a major contributor to the economic advancement. As a result, cutting-edge technology like the internet of things (IoT) is projected to have a significant impact on business operations and supply chain management (SCM). However, research into the influence of IoT deployment on supply chains and organizational performance is relatively sparse. Therefore, this study is to determine the relationship between benefits and challenges of IoT adoption and organizational performance. Furthermore, this study looks into the mediating role of supply chain performance in the relationship between IoT adoption benefits and challenges and organizational performance. The population of this study is comprised of 3019 manufacturing companies in Malaysia, while the minimum sample size needed is 43 manufacturing companies.1160 complete set of survey questionnaire were distributed through email and 63 responses received representing five per cent of response rate. Partial Least Square Structural Equation Modelling (PLS-SEM) is used to assess all of the study's hypotheses. The results of this paper support six out of the seven hypotheses tested. In conclusion, the manufacturing industry in Malaysia needs to be exposed more to the benefits of IoT rather than keep discussing its challenges. This study can be a guideline to the manufacturing companies in decision making for IoT adoption. The limitations and recommendation for future study is highlighted.

Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned

Abstract: The COVID-19 pandemic has affected global supply chains at an unprecedented speed and scale. This paper investigates the supply chain challenges that manufacturing organizations have faced due to the COVID-19 outbreak, particularly in emerging economies. We present a conceptual framework under the dynamic capability theory to analyze challenges and their pertinent mitigation strategies. Ten major challenges are identified based on a literature review, evaluation of several news articles, and discussions with experts. Further, the Grey-Decision-making Trial and Evaluation Laboratory (Grey-DEMATEL) method is applied to analyze the relationships between various supply chain challenges. Scarcity of Labor (PSL) emerges as the most significant challenge, closely followed by Scarcity of Material (SSM). The results also suggest that Inconsistency of Supply (PIS) is the challenge that correlates the most with other factors. Finally, in this paper we also provide guidelines and strategies for practitioners and scholars to better address supply chain challenges post-COVID-19 outbreak.

Blockchain technology for bridging trust, traceability and transparency in circular supply chain

Abstract: Trust, traceability, and transparency emerge as critical factors in designing circular blockchain platforms in supply chains. To bridge the three circular supply chain reverse processes (i.e., recycle, redistribute, remanufacture) and the three factors affecting blockchain technologies (i.e., trust, traceability, transparency), this paper proposes the integrated Triple Retry framework for designing circular blockchain platforms. A circular blockchain platform was designed in a supply chain, including manufacturer, reverse logistics service provider, selection centre, recycling centre, and landfill. The results highlight blockchain's role as a technological capability for improving control in the movement of wastes and product return management activities.

Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”

Abstract: In this paper, we introduce cloud supply chain which is a business model based on cloud-enabled networking of some third-party physical and digital assets to design and manage a supply chain network. Cloud supply chain integrates concepts and technology of Industry 4.0 and digital platforms emerging in the “supply chain-as-a-service” paradigm. This paper conceptualizes the cloud supply chain as a new and distinct research area. Through analysis of practical cases, we deduce some generalized characteristics of the cloud supply chain. In the generalised model, we formalize supply chain multi-structural dynamics and dynamic service composition. Our results show that the main generalized characteristics of the cloud supply chain are related to (i) multi-structural dynamics; (ii) platforms, digital supply chains, ecosystems, and visibility, (iii) dynamic service composition with dynamically changing buyer/supplier roles, (iv) resilience and viability, and (v) intertwined supply networks and circular economy. We close by discussing future research directions including novel context of Industry 5.0.

Effect of eco-innovation on green supply chain management, circular economy capability, and performance of small and medium enterprises

Abstract: The social structures in organisations constitute essential enablers for the betterment of small and medium enterprises’ (SMEs) performance. Our paper explores such enablers in the context of SMEs’ contribution to the Circular Economy (CE), through the lens of institutional and dynamic capability view theories. We focus on the relationships between institutional pressures, eco-innovation, green supply chain management (GSCM) practices, CE capability, big data driven supply chains (BDSC), and performance for CE supply chains. We used a survey to collect data (n = 240) from people working in SMEs in the manufacturing sector in South Africa. Drawing from institutional theory, we find that coercive, normative, and mimetic pressures have a positive relationship with eco-innovation. Furthermore, eco-innovation is positively associated with GSCM, with these two concepts significantly related to the building of CE capability. The final element in our framework shows a positive relationship between GSCM and CE capability. Our findings reveal some nuances in terms of the relationships between the concepts. For example, whilst BDSCs have a moderating influence on the relationship between CE capability and firm performance for the CE supply chain, no such influence is evident for the relationship between GSCM practices and performance. Further work needs to focus on explaining this and other findings and on validating our theoretical framework.

Blockchain-Enabled IoT-BIM Platform for Supply Chain Management in Modular Construction

Abstract: AbstractConfiguring a trustworthy Internet of Things (IoT)–enabled building information modeling (BIM) platform (IBP) is significant for modular construction to ensure transparency, traceability, a...

Blockchain-Enabled IoT-BIM Platform for Supply Chain Management in Modular Construction

Abstract: Configuring a trustworthy Internet of Things (IoT)–enabled building information modeling (BIM) platform (IBP) is significant for modular construction to ensure transparency, traceability, a...

An overall review of research on prefabricated construction supply chain management

Abstract: PurposeAs a strand in industrialization movement in architecture, engineering and construction (AEC) industry, prefabricated construction (PC) has gained widespread popularity due to high efficiency, energy saving, low environmental impacts, safety and other advantages of PC. Well-managed supply chain can further leverage the advantages of PC. However, there is a lack of more systematically overview of the prefabricated construction supply chain (PCSC). This paper aims to comb the current status and look into the future direction of PCSC by reviewing the existing research.Design/methodology/approachIn total, 131 articles related to prefabricated construction supply chain management (PCSCM) from 2000 to 2022 have been collated to (1) conduct a bibliometric analysis by using VOSviewer, including the literature sources, keywords co-occurrence, co-authorships, authorship citation and country active in the field of PCSCM; (2) classify and summarize the status of research in PCSCM through qualitative discussion and (3) point out the future research directions.FindingsIn total, 131 articles are carried out for bibliometric analysis and in-depth qualitative discussion, the visualization maps and the main research themes in the field of PCSCM are obtained. The results show that supply chain intelligentization and informatization are hot topics. Finally, future research directions that should be paid attention to in the field of PCSCM are pointed out.Practical implicationsThis study can help project managers understand the current status and problems of PCSC operations and provide a basis for future management decisions.Originality/valueCompared with previous studies, this study adds the dimension of “article authorship” to the quantitative analysis and discusses the research themes in the field of PCSCM in a comprehensive manner. In addition, this paper deeply discusses the main research topics from both the specific contents and research methods adopted.

Blockchain Technology for Intelligent Transportation Systems: A Systematic Literature Review

Abstract: The use of Blockchain technology has recently become widespread. It has emerged as an essential tool in various academic and industrial fields, such as healthcare, transportation, finance, cybersecurity, and supply chain management. It is regarded as a decentralized, trustworthy, secure, transparent, and immutable solution that innovates data sharing and management. This survey aims to provide a systematic review of Blockchain application to intelligent transportation systems in general and the Internet of Vehicles (IoV) in particular. The survey is divided into four main parts. First, the Blockchain technology including its opportunities, relative taxonomies, and applications is introduced; basic cryptography is also discussed. Next, the evolution of Blockchain is presented, starting from the primary phase of pre-Bitcoin (fundamentally characterized by classic cryptography systems), followed by the Blockchain 1.0 phase, (characterized by Bitcoin implementation and common consensus protocols), and finally, the Blockchain 2.0 phase (characterized by the implementation of smart contracts, Ethereum, and Hyperledger). We compared and identified the strengths and limitations of each of these implementations. Then, the state of the art of Blockchain-based IoV solutions (BIoV) is explored by referring to a large and trusted source database from the Scopus data bank. For a well-structured and clear discussion, the reviewed literature is classified according to the research direction and implemented IoV layer. Useful tables, statistics, and analysis are also presented. Finally, the open problems and future directions in BIoV research are summarized.

Technology license sharing strategy for remanufacturing industries under a closed-loop supply chain management bonding

Abstract: Remanufacturing is getting attention nowadays due to increasing waste and corresponding emissions. One of the important factors of remanufacturing is the quality of the remanufactured products. The collection and distribution of used products require proper management. Based on this situation, this study discusses a hybrid closed-loop supply chain management in cooperation with a hybrid production system. The vendor comes up with the policy of sharing remanufacturing responsibility by sharing the technology license with other supply chain players. The carbon cap restricts emissions from the entire hybrid production system of the vendor. Other factors of this proposed study are service by the retailer and quality, gift policy, and customer awareness by the vendor. This study examines the scenario under random market demand. Classical optimization provides the solution under the Stackelberg game policy where the vendor acts as leader and the retailer & third party act as followers. This paper considers two scenarios: Scenario A for a continuous distribution and Scenario B for no specific distribution. A comparison is drawn between various motivating factors-based policies to control supply chain management.

Digital Supply Chain Management and Technology to Enhance Resilience by Building and Using End-to-End Visibility During the COVID-19 Pandemic

Abstract: In practice, an increased interest into end-to-end visibility as a future-oriented driver and capability of resilient supply chains can be observed. However, the research in this area is in its infancy. Even less is understood about resilience and the potentials of a digital supply chain in pandemic settings. Based on an analysis of the relevant literature supplemented with the multiple case studies constructed with the use of primary data, we build a framework that could be instructive for supply chain managers seeking to manage resilience during pandemic disruptions and using digital technology. Our main methodological contributions are unlocking the value and potentials of end-to-end supply chain visibility for resilience management in the face of pandemic disruptions. We propose an associated design and implementation framework containing multiple dimensions—management, organizational, and technological. The outcomes of the article offer a conceptual guideline concerning the potentials and implementation of end-to-end visibility in the management of supply chain resilience.

Management of Shipment Content using Novel Practices of Supply Chain Management and Big Data Analytics

Abstract: A supply chain is a mechanism designed to transfer goods from suppliers to customers. This system consists of buyers, producers, workers, information, resources, modes of transportation, and more. The control of the flow of raw materials and completed goods inventory from the point of production until they reach the final customer is known as supply chain management. The manufacturer is the initial link in the chain. You must select a supplier that can produce your product in a secure, economical, and timely way, albeit this will vary depending on the kinds of goods you offer. Demand planning enables you to foresee variations in demand and guarantee that orders are placed at the appropriate time to prevent inventory runs and money being locked up in excess inventory. This may be managed with the use of an inventory control system. The transportation of your product(s) or raw materials must be discussed with your manufacturer in advance. If you have many warehouses, you must make sure that the appropriate amount of merchandise gets to each location and that the freight shipments have the necessary paperwork. At a fulfillment center, merchandise must be properly stored when it is received. For precise and speedy recovery, each SKU requires a separate, special storage place. The process of fulfilling orders placed online is the last link in the supply chain. Picking the products from the order, putting them in a box or poly mailer, and sending the package to the consumer are all necessary steps. Fast shipping and fulfillment might provide your company a competitive edge over rivals. The ultimate reason for the authors to write the paper is to manage the shipment content from ecommerce using the supply chain management practices and Tree structures such as decision tree.

Circular supply chain management: Performance outcomes and the role of eco-industrial parks in China

Abstract: • Circular supply chain management improves cost and financial performance. • Chinese eco-industrial parks foster circular supply chain management practices. • Firm performance is driven by practices rather than firms’ locations. A circular economy (CE) is increasingly recognized as a more environmentally sustainable alternative to the dominant linear take-make-dispose economic model. We empirically investigate the effect of circular supply chain management (CSCM) on cost and financial performance in China, which has established the world’s largest system of eco-industrial parks (EIPs) to promote CE over the last decade. We combine the Natural Resource-Based View (NRBV), Contingent NRBV and the literature on CSCM to develop a conceptual model and test it using survey data collected from 255 Chinese manufacturing firms. The results show that CSCM, when exercised as a unified strategy, has a significant positive effect on cost and financial performance. Firms located within EIPs adopt CSCM at higher levels as compared to firms located outside EIPs. Nevertheless, the contextual factor of being located within an EIP does not moderate the CSCM practice-performance relationship, suggesting that performance is driven by practices rather than firms’ locations. These results were affirmed by post-survey participant validation in three focus group meetings and six face-to-face interviews. Our findings contribute to sustainability literature by offering a new construct and measurement items relevant to CSCM and provide practical insights to guide a transition to a CE.

Decision support system for adaptive sourcing and inventory management in small- and medium-sized enterprises

Abstract: Elevated business uncertainties and competition over recent years have caused changes to the data-driven supply chain management of sourcing and inventories across industries. However, only large-sized enterprises have the resources to harness data for aiding their decision-making and planning. By contrast, small- and medium-sized enterprises (SMEs) commonly have limited resources and knowledge, which affects their ability to collect and utilize data. Thus, it is a challenge for them to implement advanced decision support tools to mitigate the effects of market uncertainties. This paper proposes a decision support system (DSS) for sourcing and inventory management, with the aims of helping SMEs compile and exploit data, and supporting their decisions under business ambiguities. The DSS was developed using a simulation-optimization approach by incorporating an artificial neural network and a genetic algorithm for problem representation and optimizing decision support solutions. The exploitation of observational and empirical data reduces the burden of data compilation obtained from unorganized data sources across SME operations. Further, uncertainty factors such as raw material demand, price, and supply lead time were considered. When implemented in a medium-sized food industry company, the DSS can provide decision support solutions that integrate the selection of recommended suppliers and optimal order quantities. It can also help decision-makers to shape their inventory management policies under uncertain raw material demands, while also considering service levels, sales promotions, lead times, and material availability from multiple suppliers. Consequently, implementation of the DSS helped to reduce the total purchased raw material costs by an average of 51.62% and reduced the order interval and on-hand inventory costs by an average of 54.24%.

The role of artificial intelligence in supply chain management: mapping the territory

Abstract: The study aims to identify the current trends, gaps, and research opportunities in research pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain management (SCM). Since SCM represents managerial innovation due to its new way of integrated system thinking, SCM has emerged as one of the most fruitful business disciplines for AI applications. The study utilises bibliometric review in tracing the evolution of AI research in SCM and further synthesises decades of past AI research efforts to develop viable solutions for various supply chain problems and then proposes promising future research themes that would enrich supply chain decision-aid tools. The study identified five main research clusters through scholarly network and content analysis. The identified themes were: (a) supply chain network design (SCND), (b) supplier selection, (c) inventory planning, (d) demand planning, and (e) green supply chain management. As the role of AI in SCM continues to grow, there is a growing need for exploiting AI as a way to add value to supply chain process. The study proposes a research framework which will help academicians and practitioners in identifying current research patterns of AI in SCM.