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Developing Strong and Hybrid Formulation for the Single Stage Single Period Multi Commodity Warehouse Location Problem: Theoretical Framework and Empirical Investigation

机译:开发单阶段单周期多商品仓库选址问题的强大混合公式:理论框架和实证研究

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We note that the Single Stage Single Period Multi Commodity Warehouse Location Problem (SSSPMCWLP) has been first attempted by Geoffrion and Graves [1], and that they use the weak formulation (in context of contribution of this paper). We give for the first time “strong” formulation of SSSPMCWLP. We notice advantages of strong formulation over weak formulation in terms of better bounds for yielding efficient Branch and Bound solutions. However, the computation time of “strong” formulation was discovered to be higher than that of the “weak” formulation, which was a major drawback in solving large size problems. To overcome this, we develop the hybrid strong formulation by adding only a few most promising demand and supply side strong constraints to the weak formulation of SSSPMCWLP. So, the formulations developed were put to test on various large size problems. Hybrid formulation is able to give better bound than the weak and takes much less CPU time than the strong formulation. So, a kind of trade off is achieved allowing efficiently solving large sized SSSPMCWLP in real times using hybrid formulation.
机译:我们注意到,Geoffrion和Graves [1]首次尝试了单阶段单周期多商品仓库位置问题(SSSPMCWLP),他们使用了弱公式(在本文的贡献范围内)。我们第一次给出SSSPMCWLP的“强”公式。我们注意到强配方优于弱配方在产生有效分支和束缚解的更好界限方面具有优势。但是,发现“强”公式的计算时间比“弱”公式的计算时间长,这是解决大尺寸问题的主要缺点。为了克服这个问题,我们通过向SSSPMCWLP的弱公式添加仅几个最有希望的需求和供应方强约束来开发混合强公式。因此,所开发的配方可用于各种大型问题的测试。混合公式能够比弱公式提供更好的绑定,并且比强公式花费更少的CPU时间。因此,实现了一种折衷,可以使用混合配方实时有效地解决大型SSSPMCWLP问题。

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