Multi-level multi-capacitated facility location problem: formulation and resolution.

Khalil Abbal, Mohammed El Amrani, Y. Benadada
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Abstract

Facility location problem is one of the most problems studied since the 1950 years; many variants have been introduced in order to deal with real-world problems. In 2016, a new variant was developed to generalize the p-median problem, called “budget constraint multi-capacitated location problem” (BMCLP). This paper aims to generalize the BMCLP onto the multi-level, a problem that arises in many scopes as telecommunication, freight transportation, etc. Therefore, we proposed a mathematical formulation as mixed integer, called “Multi-level multi-capacitated facility location problem” (MLMCLP) and generated an artificial set of instances in order to validate the new formulation. Finally, we apply the Branch and Cut solving method using the CPLEX solver. The results obtained from the numerical study show the robustness of the proposed formulation.
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多层次多容量设施选址问题的制定与解决。
设施选址问题是20世纪50年代以来研究最多的问题之一;为了处理现实世界的问题,引入了许多变体。2016年,开发了一种新的变体来推广p中值问题,称为“预算约束多容量定位问题”(BMCLP)。本文旨在将BMCLP推广到多层次,这是一个在电信、货运等许多领域都存在的问题。因此,我们提出了一个混合整数形式的数学公式,称为“多层次多容量设施选址问题”(MLMCLP),并生成了一组人工实例来验证新公式。最后,在CPLEX求解器中应用了分切求解法。数值研究结果表明了所提公式的鲁棒性。
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