Abstract
In this paper, we consider three types of uncertain programming models for the purpose of selecting appropriate suppliers and allocating order quantities to them under under environment. The decision objective is to minimize the total cost incurred in the whole process, which is consisting of purchasing cost, holding cost and ordering cost. This paper chooses the case with multiple sources, multiple criteria and capacity constraints with uncertain parameters. In order to solve the proposed models, hybrid intelligent algorithm which integrating genetic algorithm by uncertain simulation is designed.
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Liu, W. (2013). Uncertain Programming Models for Sports Supplier Selection with Cost Minimization. In: Xu, J., Yasinzai, M., Lev, B. (eds) Proceedings of the Sixth International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 185. Springer, London. https://doi.org/10.1007/978-1-4471-4600-1_54
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DOI: https://doi.org/10.1007/978-1-4471-4600-1_54
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