Abstract
In this paper, a dynamic programming model is proposed for a joint pricing construction materials procurement problem with multiple suppliers (JPCMPPMS) in a fuzzy random environment. In this model, the objective of the leader is to minimize total costs by deciding the purchase quantity. Demand and transport price are assumed to be fuzzy random variables in this paper. A dynamic programming-based genetic algorithm (DP-based GA) is developed to find feasible solutions and a dynamic programming-based initialization, crossover and mutation are designed to avoid infeasible solutions. The model and the proposed solution procedure are very practical and effective, and raw material purchasing system will achieve the overall best economic interests.
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References
Chen X, Cen L, Cen Y (2009) A raw material purchasing decision-making model of order allocation with multiple suppliers and its optimization. In: 2009 1st international conference on information science and engineering (ICISE), IEEE, pp 66–69
Da Silva GC, Bahiense L et al (2012) The dynamic space allocation problem: applying hybrid grasp and tabu search metaheuristics. Comput Oper Res 39(3):671–677
Gonçalves JF, Mendes JdM, Resende MG (2008) A genetic algorithm for the resource constrained multi-project scheduling problem. Eur J Oper Res 189(3):1171–1190
Ho S, Lin H et al (2008) OPSO: Orthogonal particle swarm optimization and its application to task assignment problems. IEEE Trans Syst, Man Cybern, Part A: Syst Hum 38(2):288–298
Hu X, Ding W (2010) The research of procurement strategies for the chinese herbal medicine enterprise. In: 2010 IEEE 17Th international conference on industrial engineering and engineering management (IE&EM), IEEE, pp 1443–1447
Min H, Ko HJ, Ko CS (2006) A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns. Omega 34(1):56–69
Tommelein ID (1998) Pull-driven scheduling for pipe-spool installation: simulation of lean construction technique. J Constr Eng Manag 124(4):279–288
Xu J, Zhou X (2009) A class of multi-objective expected value decision-making model with birandom coefficients and its application to flow shop scheduling problem. Inf Sci 179(17):2997–3017
Acknowledgments
This research was supported by NSFC (Grant No. 71401020), NPOPSS (Grant No. 14BGL055), HPOPSS (Grant No. HB15GL111) and Human Social Science for Universities of Hebei (Grant No. SD151011, Grant No. BJ2016057).
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Kang, K., Zhou, S., Ma, Y., Wei, X. (2017). A Dynamic Programming-Based Genetic Algorithm for a Joint Pricing Construction Materials Procurement Problem with Uncertainties. In: Xu, J., Hajiyev, A., Nickel, S., Gen, M. (eds) Proceedings of the Tenth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-10-1837-4_26
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DOI: https://doi.org/10.1007/978-981-10-1837-4_26
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