علي گودرزي

With the increase of environmental concerns in recent years and the preva‎lence of such issues, which originate mainly from large industries and manufacturing plants, green supply chain management (GSCM) issue has been given special attention among researchers. GSCM is a group of management applications integrating supply chain management with criteria related to environment and supplier selection with the purpose of reducing environmental pollution caused by processes involved in a company supply chain. In this research the main contributions is to draw a decision-making structure addressing the applicability of the green supplier selection (GSS) and order allocation (OA) problem in an Iranian Oil refinery. To do that, initially, five group of criteria including financial issues, supplier capabilities, social issues, green production and pollution reduction have been derived from literature research and case studies from practice of an oil company is intended to prove the applicability of proposed methodology. Then a combination of MADM and MODM approaches was taken into account by integrating GBWM-PROMETHEE-CLOUD for GSS and MCGP method for OA. In the first phase, the group best-worst method (GBWM) using experts’ judgments, obtains the optimal criteria weights by forming a nonlinear programing model and the prioritizing of nominated suppliers is established using the PROMETHEE-CLOUD method with the possibility to pick a distinct preference function for each criterion. The proposed technique lets the vagueness and uncertainty of experts’ judgments be obtained by assisting uncertain linguistic variable derived from the cloud model. In the second phase, MCGP method was applied considering three goals with the possibility of multi-choice aspiration levels for each goal, and using the results of the first phase in order allocation process. We illustrated the suggested model with actual figures in an oil refinery to provide insight to decision-makers of green supplier selection and order allocation (GSSOA). The best supplier was successfully selected with considering various uncertainties and randomness in judgments. The order allocation was also completed and in this case was used by assigning multi-choice aspiration levels (MCAL) for goals suggested by company CEO. Results shown that the supplier with better ranking in GSS and better prices is preferred by the integrated model.

انتخاب تأمين كننده سبز , تخصيص سفارش , مدل ابري , روش پرومته , روش بهترين بدترين گروهي , روش برنامه ريزي آرماني چند انتخابه , صنعت روغن سازي

Green supplier selection , order allocation , Cloud Model , PROMETHEE , GBWM , GBWM , Oil Industry

Ali Goudarzi

Mohammad Reza Gholamian