Title: Green supplier selection and order allocation: a nonlinear stochastic model

Authors: Pooria Hashemzahi; Amirhossein Azadnia; Masoud Rahiminezhad Galankashi; Syed Ahmad Helmi; Farimah Mokhatab Rafiei

Addresses: Department of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia; Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran ' Department of Industrial Engineering, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran ' Department of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia; Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran ' Department of Materials, Manufacturing and Industrial Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia; Center for Engineering Education, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia ' Department of Industrial Engineering, Tarbiat Modares University, Tehran, Iran

Abstract: Supplier selection and order allocation is a complex managerial decision in today's competitive markets. As an important section of this area, green supplier section has been properly focused in previous literature. However, joint supplier selection and order allocation under stochastic demand is less investigated. Firstly, a fuzzy analytic hierarchy process (FAHP) is applied to weight and select suppliers in terms of economic and environmental criteria. Secondly, a multi-objective nonlinear programming (MONLP) is developed and solved by genetic algorithm (GA) for the aim of order allocation. Findings of this study assist managers to systemically deal with the real-world problem of green supplier selection with different priorities and order quantities.

Keywords: green supplier selection; fuzzy analytic hierarchy process; FAHP; genetic algorithm; GA; stochastic supplier selection; Malaysia.

DOI: 10.1504/IJVCM.2020.106821

International Journal of Value Chain Management, 2020 Vol.11 No.2, pp.111 - 138

Received: 07 Jun 2019
Accepted: 16 Sep 2019
Published online: 21 Apr 2020 *

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