Title: A fuzzy multi-objective modelling for supplier selection problem in leagile supply chain

Authors: Mojgan Khorasani; Abolfazl Kazemi

Addresses: Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran ' Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Abstract: This paper investigates a supplier selection model under leagile procurement. The mathematical model is a fuzzy multi-objective model. The paper incorporates the uncertainty and fuzziness of parameters into the model to identify an appropriate selection policy for suppliers in real-world condition and to overcome the vagueness of the information. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of the leagile supply chain, including the ability to respond to demands, reducing the time delays and costs that are the winner factors of the market in this supply chain, as well as taking into account the capacities and constraints of buyers and suppliers such as the minimum amount of order, maximum budget, etc. Lingo software is used to solve the model and then, considering the long time and inefficiency of exact methods for large-sized problems, a genetic algorithm is applied to achieve the optimum solution. The results show that the proposed algorithm works properly in terms of both CPU time and the quality of solutions.

Keywords: supplier selection; leagile supply chain; demand allocation; genetic algorithm; Taguchi parameter design method.

DOI: 10.1504/IJASM.2022.127022

International Journal of Agile Systems and Management, 2022 Vol.15 No.3, pp.273 - 296

Received: 31 May 2020
Accepted: 08 May 2021
Published online: 18 Nov 2022 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article