Supply Chain Collaboration Model Research Articles

Development of the House of Collaborative Partnership to overcome supply chain disruptions: evidence from the textile industry in India

Collaboration in a supply chain becomes a significant competitive weapon for member firms in an uncertain business environment. The present study develops a model of supply chain collaboration named as House of Collaborative Partnership (HCP) and includes the enablers and impeders of a successful Collaborative Partnership (CP). Model development follows a three-phase process. The first phase consists of the identification of enablers and impeders of CP based on the literature review and experts’ opinions. The second phase applies Total Interpretive Structural Modelling (TISM) as a tool to construct hierarchical structures of the enablers and impeders of CP. The third phase deals with the development of HCP based on the hierarchical structures of enablers and impeders. The HCP is then validated with two case studies in the Indian textile industry. Eight enablers and seven impeders were identified in the first phase. After analyzing these factors with TISM, the HCP was developed consisting of four parts: Foundation, Columns, Beam, and Roof. The existence of trust, commitment to long-term collaboration, top management support, adequate financial support, ability to deal with technological changes, and providing regular training to employees constitute the HCP Foundation to achieve supply chain collaboration. The study concludes with the managerial implications of HCP to help supply chain partners in becoming resilient during an uncertain business environment.

Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques

Supply Chain Collaboration is the network of various entities that work cohesively to make up the entire process. The supply chain organizations’ success is dependent on integration, teamwork, and the communication of information. Every day, supply chain and business players work in a dynamic setting. They must balance competing goals such as process robustness, risk reduction, vulnerability reduction, real financial risks, and resilience against just-in-time and cost-efficiency. Decision-making based on shared information in Supply Chain Collaboration constitutes the recital and competitiveness of the collective process. Supply Chain Collaboration has prompted companies to implement the perfect data analytics functions (e.g., data science, predictive analytics, and big data) to improve supply chain operations and, eventually, efficiency. Simulation and modeling are powerful methods for analyzing, investigating, examining, observing and evaluating real-world industrial and logistic processes in this scenario. Fusion-based Machine learning provides a platform that may address the issues/limitations of Supply Chain Collaboration. Compared to the Classical probable data fusion techniques, the fused Machine learning method may offer a strong computing ability and prediction. In this scenario, the machine learning-based Supply Chain Collaboration model has been proposed to evaluate the propensity of the decision-making process to increase the efficiency of the Supply Chain Collaboration.

Information Sharing Platform of Port Supply Chain Enterprises

Qian, C., 2020. Information sharing platform of port supply chain enterprises. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 722–725. Coconut Creek (Florida), ISSN 0749-0208.The traditional port supply chain information sharing is not timely, which leads to the problem that the optimal allocation of resources cannot be realized. Then the information sharing platform of port supply chain enterprises is proposed. According to the difference of resource nature, it can be divided into different sharing modules to ensure the real-time scheduling of resources and establish a multi-Agent model of supply chain collaboration. Combining the actual situation, the factors of environment and node enterprises are considered in adoption of the integration scheme of web service technology, to realize the real-time sharing of information and complete the research on the information sharing platform of port supply chain enterprises. The contrast experiment is designed so as to analyze and compare the difference of information sharing effect between the designed platform and the traditional platform. It proves to be faster, shorter time-consuming, and better allocation of the supply chain resources through optimization result of the designed platform.

Research on Building Supply Chain Collaboration Model Based on BIM and Internet of Things Technology and Its Application

The integration of BIM model and Internet of Things (IOT) technology will be more helpful to achieve the coordination and optimization of building supply chain information. This article focuses on the integration of building supply chain information based on the analysis of BIM-IOT technology principles and advantages. Based on this, a building supply chain information management model based on BIM-IOT technology was established. The collaborative management model consists of a data layer, a core layer, an interaction layer, and a domain layer. From the aspects of construction project planning, engineering design, building construction, and operation management, the detailed description of the collaborative supply chain information management under the BIM-IOT technology model mechanism.

Supply Chain Collaboration of High Pressure Pasteurization Processing Foods and Beverages

This research chooses food that has shelf life as the object. The authors research on the best decision and coordination mechanism of members in supply chain from the customer choice behavior between food with different freshness and taste. Case studies are employed to construct the model of supply chain collaboration. This research not only has an important theoretical value on promoting the development of applying Chinese management science to the area of food industry and its internationalization, but also has great practical significance on strengthening the survival and development capacity and comprehensive international competitiveness of Chinese food industry and improving the social welfare.

Generating a causal model of supply chain collaboration using the fuzzy DEMATEL technique

Supply chain collaboration is usually adopted by manufacturers as a strategic measure to increase overall supply chain performance. However, such collaborations arguably have the highest failure record of the various supply chain management practices that are currently being applied. Part of the problem has been the uncertain external environment, an overreliance on technology, and lack of trust among partners. Based on Transaction Cost Economics (TCE) and Relational Exchange Theory (RET), it is clear that environment, asset specificity, and trust are key determinants for the success of collaborations among firms. However, the fuzziness of the interdependency among these determinants and their influences on supply chain collaborative processes still remains unknown. This study thus focuses on Taiwanese manufacturing firms as an example case, and empirically probes the relationships among these dimensions and their effects on these processes. To accommodate the vagueness of human opinions, the fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) technique is applied to examine this issue, and to produce a causal relations map. This study also provides a discussion and insights for supply chain practitioners.

A Supply Chain Collaboration Model for Product Development with R&D Subsidies

The capability to concurrently design the product and the supply chain is becoming a key competence in manufacturing companies. In spite of this development, this competence is still underdeveloped in industry. Research has not been able to fill this industrial capability gap partly because there is a lack of convergence of the methodologies for concurrent product and supply chain design in the research community. Today, businesses depend on strategic collaboration with their suppliers and customers to create value to develop product and to obtain better market-share. Designing products to match the processes and supply chains processes to match product platforms and supply chains, and supply chains to match the product platforms and process are the ingredients in todays fast developing markets. If this co-design is done well upfront with sufficient focus on product development process managing, product will cost much less overall and the time to market will decrease substantially. This paper presents a supply chain collaboration dynamic model with two innovative R&D sectors for each supplier and buyer: A vertical R&D sector that improves the quality of existing differentiated products and a horizontal R&D sector that creates new differentiated products. The supplier and buyer exchange differentiated products and beneficiate from knowledge spillovers (possibly impulsed by R&D subsidies). The long term policy effects of R&D subsidies in this context had been studied in this paper. In this contribution, we have realized an attempt to integrate the product development model in a supply chain collaboration framework. This enables us to discuss of the optimal research policy integrating some feedback effects from innovation and knowledge spillovers. Our main result is that the effect of a subsidy to vertical R&D (the only subsidy that has a long term effect) depends on the relative innovative capacities of the supplier or buyer that realized this policy.

Measures of supply chain collaboration in container logistics

Why do container ports and related maritime logistics organisations collaborate? Despite increasing research into supply chain collaboration (SCC), few valid and reliable instruments are available to measure accurately and objectively the multiple dimensions of SCC in maritime logistics contexts. This research aims to introduce SCC into maritime logistics as an intermediary supply chain process. It adopts comprehensive, rigorous and systematic procedures including item review, Q-sorting, pilot testing and confirmatory factor analysis (CFA) to develop and validate SCC measures. Practical instruments comprised 23 measures derived from a large-scale survey of 178 South Korean maritime logistics professionals. Empirical results indicate that a proposed model of SCC is statistically consistent, reliable and valid. Information sharing, knowledge creation, goal similarity, decision harmonisation and joint supply chain performance measurement were identified as factors that underpin SCC between ports and port users such as shipping lines, inland transport companies, freight forwarders, ship management companies and third-party logistics companies. This work extends the concept of SCC into maritime logistics, and offers managers insights into a self-diagnostic tool to shape effective collaborative relationships.

Supply Chain Performance Measurement: The Case Of A State Owned Pharmaceuticals Company (BFM)

Objective - The Purpose of this study is to identify Supply Chain Management and performance measurement in BFM, benchmarked with other Pharmaceutical companies, and to create solutions in improving and developing Supply Chain Management using the Supply Chain Operations Reference model (SCOR). The Supply Chain Operations Reference Framework for supply chain collaboration (SCOR) model developed a set of performance metrics for collaboration, including reliability, flexibility and responsiveness, expenses, and assets/utilization. Methodology/Technique - The methodology of supply chain research in BFM was surveyed by field observation, interviews and research. Interviews were conducted to examine the main issues and a hypothesis was tested by applying SCOR model, which also includes green SCOR model as consideration of environmental management. Findings - This study found that problems arose in the Supply Chain Management of BFM are lead time issues and low performance compared to the score of Pharmaceuticals industry. Environmental management could not be measured using SCOR metrics at Plan Source stage due to limited supplier of BFM. Novelty : SCOR model was developed performance measurement integrated the supply chain scorecard for process control and result control. Type of Paper: Empirical Paper Keywords: Supply Chain Management; Performance Measurement; Indonesia Pharmaceutical Industry; SCOR

A Supply Chain Collaboration Model Based on System Dynamics

This paper used the tool of system dynamics to build an evolutionary model of self-organization for the supply chain collaboration. By solving and the analysis of applications, we know that the two order parameters of supply chain collaboration and profitability determine the self-organized evolution of the system. If the supply chain collaboration has not reached the critical region, the deviation caused by random fluctuations will continue to decay until it disappears, and finally return to the original state. When the system parameters meet to the conditions of non-stability, random fluctuations will lead to the changes of the orderly structure of the system. The model reveals the evolutionary processes and nature of supply chain collaboration, and provides a basis for the development of the supply chain enterprises

Towards development of composite supply chain collaboration model

In recent times, strategic collaboration between organisations is being pursued to gain competitive advantage. Organisations primarily depend on their core competencies. Acquiring competencies in other areas may not always be very economical. But for multidimensional business development both in width and depth including geographical spread organizations collaborate. This paper attempts to develop a model of supply chain collaboration that can be used by firms to form collaborative projects. Through an extensive research on supply chain collaboration models or frameworks used by researchers, a comparative evaluation is made and a composite model is developed.

Research on Supply Chain Collboration of Auto Industry Engineering Based on BTO

BTO supply chain in the application of automobile industry is a trend in the future. But the effective implementation is still a problem. The paper expounds on the application and research status and the key problems of BTO production model in the auto industry. Through comparison between BTO supply chain and traditional “push” supply chain, the characteristics and operating conditions of BTO supply chain is concluded. In the end, BTO supply chain collaboration model in auto industry is established.

Collaborative activity with business partners for improvement of product environmental performance using LCA

Collaborative activities with business partners have potential to improve environmental performance of product and life cycle assessment (LCA) is an essential technique to implement eco-design of product and production process. However, collection of LCA data from supply chain is a major issue for LCA practitioners. We propose a Supply Chain Collaboration Model (SCCM), which is a framework for collecting producer-specific LCA data from business partners and for promoting improvement activity of product environmental performance. We demonstrate the practicability of the SCCM using three case studies. In each case study, two or three partner companies organized a product improvement project and carried out process analysis techniques such as LCA and material flow cost accounting (MFCA). As a result, improvement activities from the economical standpoint could provide an incentive for business partners to collect LCA data, and thus the SCCM is an effective framework for eco-design.