Abstract
Based on uncertainty theory, multiproduct aggregate production planning model is presented, where the market demand, production cost, subcontracting cost, etc., are all characterized as uncertain variables. The objective is to maximize the belief degree of obtaining the profit more than the predetermined profit over the whole planning horizon. When these uncertain variables are linear, the objective function and constraints can be converted into crisp equivalents, the model is a nonlinear programming, then can be solved by traditional methods. An example is given to illustrate the model and the converting method.
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This paper is supported by Shandong Provincial Scientific and Technological Research Plan Project (No. 2009GG20001029).
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Ning, Y., Liu, J. & Yan, L. Uncertain aggregate production planning. Soft Comput 17, 617–624 (2013). https://doi.org/10.1007/s00500-012-0931-4
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DOI: https://doi.org/10.1007/s00500-012-0931-4