P. Hashemzahi, A. Azadnia, Masoud Rahiminezhad Galankashi, S. A. Helmi, F. M. Rafiei
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Green supplier selection and order allocation: a nonlinear stochastic model
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.
期刊介绍:
Today"s businesses have become extremely complex. The interplay of the three Cs, viz. consumers, competition and convergence, has thrown up new challenges for organisations all over the world. Sensitivity of economies to the external environment coupled with the turbulent process of globalisation has added the highest degree of uncertainty and unpredictability to business processes. To top it all, the effect of globalisation has shifted the balance of power in favour of the customer, though it may have opened a plethora of opportunities for all, in the form of variety and choice. For a variety of reasons, the pressures of competitive forces have enhanced product changes, supercharged by shortening product and technology development lifecycles.