基于软时窗的冷链物流配送中心选址优化
首发时间:2018-06-08
摘要:许多冷链产品都有易腐的特征,且腐败率随时间变化。为更接近客户实际要求,本文基于配送软时窗要求,考虑了冷链产品腐败率线性可变,并引入与配送时间有关的货损成本、冷藏车制冷成本以及客户软时窗配送时间要求等概念,建立了包括运输成本、货损成本、制冷成本、惩罚成本和运营成本在内的混合整数非线性选址模型。在算例中将原模型转换计算机模型用LINGO求解,并通过算例比较考虑软时窗、考虑硬时窗、不考虑软时窗因素三种情况,验证了加入软时窗因素的必要性和可行性,且更符合客户实际要求,对研究冷链物流配送中心选址问题有一定的理论指导和参考依据。
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Location optimization for cold chain logistics distribution center based on soft time windows
Abstract:Many cold chain products are perishable, and the rate of spoilage varies with time. In order to get closer to the actual requirements of customers, this paper considers the factor of distribution of soft window, and builds a mixed integer nonlinear location model that including the establishment of transportation costs, damage costs, refrigeration cost and punishment mixed integer nonlinear cost and operation cost. In the example, the original model will be transformed into a computer model and solved by LINGO, and the soft time window, the hard time window and the soft time window are considered in three cases. The necessity and feasibility of adding soft time window are verified, and it is more in line with the actual requirements of the customer. It has some theoretical guidance and reference for the study of location optimization for cold chain logistics distribution center.
Keywords: distribution center location optimization soft time window cold chain
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