A model for continuous improvement in supplier selection in agile supply chains

2009 ◽  
Vol 16 (3) ◽  
pp. 85-110 ◽  
Author(s):  
Chong Wu ◽  
David Barnes
2021 ◽  
Author(s):  
Mehmet Ali Tas ◽  
Serap Akcan

Abstract Businesses establish supply chains in order to continue their activities. Choosing the suppliers to take part in these supply chains poses many challenges in rapidly changing conditions. Environmental concerns in the public, competitive market structures, and developing technological opportunities affect the decision-making processes. Different criteria are taken into consideration instead of traditional criteria such as cost and service. In this study, green, agile, and Industry 4.0 dimensions and the criteria under these dimensions are defined. According to these, the problem of selecting the supplier that responds to the expectations of the markets and enables them to increase their competitiveness was discussed. Fuzzy SWARA and fuzzy BMW methods were applied in an integrated way to solve the supplier selection problem under these three dimensions. A real case study was also presented. In the study, the results obtained by creating different scenarios were compared and sensitivity analysis was made. The results obtained show that the hybrid method developed in this study is effective in supplier selection problems. As a result of the study, the most important evaluation dimension is "agile" and the most important criterion is "delivery speed".


2016 ◽  
Vol 36 (2) ◽  
pp. 51 ◽  
Author(s):  
José Anselmo Mayer ◽  
Miriam Borchardt ◽  
Giancarlo Medeiros Pereira

A collaborative relationship between companies in a supply chain makes it possible to improve both the performance and the results of the companies and of the supply chain. Several studies have analyzed supply chains, but few studies have proposed the application of tools for continuous improvement in a collaborative manner within the supply chain. The objective of this work is to present a methodology for the collaboration in a supply chain with a focus on continuous improvement. Three case studies were conducted with Brazilian multinational focal companies that manufacture technology-based products. It was seen that relationships, trust, the exchange of information, and the sharing of gains and risks sustains collaborative practices focused on continuous improvement. The proposed methodology considers the need for supplier development, for the monitoring of the supplies, and for the development of a partnership for problem solving through the application of tools for continuous improvement.


2022 ◽  
Vol 70 (2) ◽  
pp. 3005-3019
Author(s):  
Chia-Nan Wang ◽  
Chao-Fen Pan ◽  
Viet Tinh Nguyen ◽  
Syed Tam Husain

2017 ◽  
Vol 40 (3) ◽  
Author(s):  
Sarah Rennie ◽  
Tim Connor ◽  
Annie Delaney ◽  
Shelley Marshall

This article is centrally concerned with the mechanisms and processes through which human rights in transnational business practices can be respected and remedied when breached, with a particular focus on workers’ rights in global garment supply chains. The United Nations (‘UN’) Guiding Principles on Business and Human Rights (‘UNGPs’) represent a high-level attempt to provide a normative framework for these issues.


2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Alptekin Ulutaş ◽  
Ayşe Topal ◽  
Rim Bakhat

“Sustainability” term has not only become increasingly important globally for individual companies, but also become important for whole supply chains. The selection of supplier is a significant decision for the sustainability of supply chains. Literature review revealed that supplier selection is made traditionally based on economic attributes which are insufficient for sustainability of supply chains as sustainability requires taking economic, environmental, and social issues into account. For this purpose, this paper proposes determining the green supplier selection attributes and then developing a methodology for assessment and ranking of green suppliers based on determined attributes. The first contribution of this study is to propose a novel method, which is FROV (fuzzy extension of range of value) to literature. The latter is to utilize fuzzy extension of preference selection index (FPSI) to identify the weights of attributes. The third is to develop a novel fuzzy multiattribute decision-making model consisting of FPSI and FROV to determine the best supplier for a Turkish textile company.


Author(s):  
Marvin D. Troutt ◽  
Paul J. Ambrose ◽  
Chi Kin Chan

This chapter discusses the extension and potential application of some recent theoretical results on efficiency monitoring and throughput rate optimization for serial processes. In particular, we consider the relevance and adaptation of these results for use in monitoring and continuous improvement uses in supply chains or networks, with particular emphasis on the importance to e-business. Linear programming models based on ideas from Data Envelopment Analysis have been developed for maximizing the throughput of serial input-output processes in which one or more outputs of an upstream process become inputs to a successor process. We consider their adaptation to supply chain monitoring. We also propose some additional research needs in this area.


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