Addressing a sustainable supplier selection and order allocation problem by an integrated approach: a case of automobile manufacturing

Abstract

ABSTRACT This study introduces a novel integration of language entropy weight method (LEWM) and multi-objective programming (MOP) method to address a sustainable supplier selection and order allocation problem. To show the applicability of the proposed method, a real case study of automobile manufacturing is considered. First of all, the indicators of the proposed problem are defined. Then, the LEWM is considered to select the suppliers. To meet the standards of the sustainable development goals and the global supply chains for a case of automobile manufacturing system, an optimization model is established. The proposed model has three objectives including the total cost and the carbon emissions to be minimized while the procurement value to be maximized. These objectives are based on the economic, environmental, and social impacts simultaneously to address the triple bottom lines of sustainability. In addition, the proposed method improves the relationship between the supply chain practitioners and the potential suppliers to achieve the product development capabilities and qualities to achieve the sustainable development goals and the global supply chain trend.