Applying of Piecewise Linear Value Functions in LARG Suppliers Ranking: Multi-Criteria Decision Making Mixed Approach

Document Type : Original Article


1 Assistant Professor, University of Mazandaran.

2 MSc. student, University of Mazandaran.

3 B.A., University of Mazandaran.


In modern business environments, a competitive Supply Chain Management is crucial to business continuity. In this context, Lean, Agile, Resilient and Green (LARG), are advocated as the fundamental paradigm for a competitive Supply Chain as a whole. Various paradigms have emerged in the supply chain from the beginning, from among which there are four paradigms lean, agile, resilient and green that are important in supply chain performance and competitiveness, which are referred to as the LARG supply chain. Each of these paradigms pursues a specific mission and purpose in the supply chain. The choice of best supplier in each supply chain is based on different decision-making criteria, but the weight of each criteria varies according to the supplier's priorities. The purpose of this research is to provide a hybrid model of multi-criteria decision for selecting suppliers in the LARG paradigms of tile and ceramic industry. In this research, in first, supplier selection indicators are identified and then weighted by the Best Worst Method. Subsequently, suppliers are ranked by piecewise linear value function and multi-criteria decision-making technique TODIM. This system can play an important role in improving supply chain performance in effective decision making by managers in the supplier selection process and provide results based to reality.


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