An Integrated Supplier Selection Methodology for Designing Robust Supply Chains

2006 ◽  
Author(s):  
V.N. Karthik
Keyword(s):  
Supply Chains ◽  
Supplier Selection ◽  
Selection Methodology

scholarly journals Selecting a Green, Agile and Industry 4.0 Supplier With the Fuzzy-Swara-Bwm Integrated Method

2021 ◽  
Author(s):  
Mehmet Ali Tas ◽  
Serap Akcan
Keyword(s):  
Supply Chains ◽  
Industry 4.0 ◽  
Supplier Selection ◽  
Three Dimensions ◽  
Market Structures ◽  
The Public ◽  
Integrated Method ◽  
Decision Making Processes ◽  
Technological Opportunities

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".

scholarly journals Sustainable Supplier Selection Model in Supply Chains During the COVID-19 Pandemic

2022 ◽  
Vol 70 (2) ◽  
pp. 3005-3019
Author(s):  
Chia-Nan Wang ◽  
Chao-Fen Pan ◽  
Viet Tinh Nguyen ◽  
Syed Tam Husain
Keyword(s):  
Supply Chains ◽  
Supplier Selection ◽  
Selection Model ◽  
Sustainable Supplier Selection

scholarly journals An Application of Fuzzy Integrated Model in Green Supplier Selection

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Alptekin Ulutaş ◽  
Ayşe Topal ◽  
Rim Bakhat
Keyword(s):  
Supply Chains ◽  
Supplier Selection ◽  
Social Issues ◽  
Selection Index ◽  
Green Supplier Selection ◽  
The Third ◽  
Novel Method ◽  
Green Suppliers ◽  
Decision Making Model ◽  
Selection Of

“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.

Multi-Tier Supplier Selection Using Total Cost of Ownership and Data Envelopment Analysis

2020 ◽  
pp. 597-622
Author(s):  
Feras Saleh
Keyword(s):  
Data Envelopment Analysis ◽  
Quality Management ◽  
Supply Chains ◽  
Supplier Selection ◽  
Global Supply Chains ◽  
Data Envelopment ◽  
Total Cost Of Ownership ◽  
Network Dea ◽  
Total Cost ◽  
Cost Of Ownership

Quality management across multiple tiers is vital to minimize cost of quality in global supply chains. In this chapter, the authors address the problem of supplier selection in multi-tier global supply chains with the purpose of overall quality management. A hybrid approach based on total cost of ownership (TCO) and network data envelopment analysis (DEA) is proposed. The TCO looks beyond the quoted cost to cover additional true costs related to the entire purchasing cycle. The cost categories included are quoted price, manufacturing costs, quality costs, design costs, logistics costs, after sales service, and social/environmental costs. Network DEA is used to rank the suppliers based on the TCO cost categories. The advantage of network DEA is its ability to investigate intermediate linkages between different stages of the supply chain. The results of network DEA are efficient suppliers and improvement targets for inefficient suppliers for improving overall quality in global supply chains. A numerical application is provided.

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