Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process

2018 ◽  
Vol 27 (8) ◽  
pp. 1708-1719 ◽  
Author(s):  
Yuangao Chen ◽  
Shuo Wang ◽  
Jianrong Yao ◽  
Yixiao Li ◽  
Shuiqing Yang
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Structural Modeling ◽  
Analytic Network Process ◽  
Sustainable Supply Chain ◽  
Combined Approach ◽  
Socially Responsible ◽  
Interpretive Structural Modeling ◽  
Network Process ◽  
Fuzzy Analytic Network Process

Structural Decisions of Sustainable Manufacturing Strategy with Fuzzy Analytic Network Process (FANP)

2015 ◽  
Vol 6 (2) ◽  
pp. 12-27 ◽  
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark ◽  
Kae Vines Tanudtanud
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Sustainable Manufacturing ◽  
Analytic Network Process ◽  
Linguistic Variables ◽  
Sustainable Supply Chain ◽  
Manufacturing Strategy ◽  
Network Process ◽  
Fuzzy Analytic Network Process ◽  
Relevant Component

This paper proposes the use of fuzzy analytic network process (FANP) in identifying the content of the structural decisions of manufacturing strategy that integrates sustainability and the classical manufacturing strategy framework, considering firm size as a relevant component in decision-making. Fuzzy set theory elucidates judgment through linguistic variables while analytic network process (ANP) handles the complexity of the decision-making brought about by subjectivity and relationships among components in the decision problem. A group of experts in manufacturing was tasked to elicit judgment in pairwise comparisons following in the methodology of the ANP. Results also show that structural decisions that support sustainability integrate backward supply chain. This supports existing approaches particularly on sustainable supply chain and green purchasing. The contribution of this work lies in adopting a multi-criteria decision-making (MCDM) framework that identifies the content of the structural decisions of a sustainable manufacturing strategy.

AN INTEGRATED INTERPRETIVE STRUCTURAL MODELING–FUZZY ANALYTIC NETWORK PROCESS–BENEFITS, OPPORTUNITIES, COSTS AND RISKS MODEL FOR SELECTING TECHNOLOGIES

2011 ◽  
Vol 10 (05) ◽  
pp. 843-871 ◽  
Author(s):  
AMY H. I. LEE ◽  
HE-YAU KANG ◽  
CHAO-CHENG CHANG
Keyword(s):  
New Product ◽  
Structural Modeling ◽  
Analytic Network Process ◽  
Appropriate Technology ◽  
Evaluation Framework ◽  
Technology Evaluation ◽  
Interpretive Structural Modeling ◽  
Network Process ◽  
Multiple Experts ◽  
Fuzzy Analytic Network Process

Technology evaluation has been increasingly important because of the pressing needs of new product introduction in a competitive global market. To select the most appropriate technology, a firm needs to have a robust technology evaluation framework to evaluate several technology candidates based on multiple criteria and evaluated by multiple experts. Thus, this paper presents an integrated model for evaluating various technologies for New Product Development (NPD). A network that takes into account the benefits, opportunities, costs, and risks (BOCR) aspects of different technologies is constructed first, and interpretive structural modeling (ISM) is applied next to determine the interrelationships among the factors. Finally, fuzzy analytic network process (FANP) is used to facilitate the evaluation process of decision makers under an uncertain environment with interrelated factors. The proposed model is applied in a flat panel manufacturer in selecting the most suitable panel technology.

Selecting the Most Appropriate Supplier in the Green Environment

2020 ◽  
pp. 101-124
Author(s):  
Muhittin Sagnak
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Strategic Decisions ◽  
Chain Management ◽  
Customer Expectations ◽  
Network Process ◽  
Fuzzy Analytic Network Process

Nowadays, supply chain management decisions have become strategic decisions. Also, greening process of supply chain activities were required due to satisfy the customer expectations, and protect the environmental life. Since one of the strategic decisions for supply chains is the supplier selection, greening process also became necessary for supplier evaluations. Within this context, in this chapter, a comprehensive list of the criteria for green supplier selection was determined. Fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) method was applied to determine the cause-effect relationships between the main criteria. Fuzzy Analytic Network Process (ANP) method was used to find the relative weights of the criteria. Finally, fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method was applied to prioritize the various suppliers.

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

Sustainable Supply Chain Management

2019 ◽  
pp. 103-114
Author(s):  
Vimal K. E. K. ◽  
Nishal M. ◽  
Jayakrishna K.
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Economic ◽  
Environmental Performance ◽  
High Volume ◽  
Structural Modeling ◽  
Sustainable Supply Chain ◽  
Interpretive Structural Modeling ◽  
Chain Management

The integration of sustainable development concepts with the traditional supply chain improves the environmental performance and green image among its stakeholders. During adoption of sustainability concepts in traditional supply chain management, some hurdles can be anticipated. These hurdles are called barriers, and industries must equip themselves to remove them. The difficulties associated with removal of barriers are identification and analysis for selection significant barriers. In this chapter, the significant barriers for incorporating sustainability in supply chain of high volume manufacturing are consolidated from the literature and categorized into seven groups: people, strategic, environmental, economic, societal, regulatory, and functional. The widely used evaluation methods are interpretive structural modeling and DEMATEL for which the procedure and guidance to infer the results are detailed. The chapter is expected to support the practicing engineers involved in implementation of sustainable concepts in supply chain.

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