Coordination optimization in multi-product and multi-objective supply chains considering carbon emission

被引：0

作者：

Zhang M. ^{[1
]}

Qu X. ^{[1
]}

Li B. ^{[2
]}

机构：

[1] Department of Management, Renai College of Tianjin University, Tianjin

[2] School of Management & Economics, Tianjin University, Tianjin

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2018年 / 24卷 / 04期

关键词：

Carbon emission; Hybrid particle swarm algorithm; Production-inventory-distribution coordination optimization;

D O I：

10.13196/j.cims.2018.04.022

中图分类号：

学科分类号：

摘要：

Aiming at the carbon emissions produced by distribution vehicles in supply chains, and based on the speed of vehicle changes as the important variable under time-varying network, a model was established by considering the combined objectives of carbon emissions with coordinating optimization of production time, inventory time and distribution routes. In the model, the constraints such as product category, time windows of customer demand and full load rate of vehicle and time for loading and unloading were taken into consideration. A hybrid particle swarm optimization algorithm combined with ant colony algorithm was proposed to optimize the model, and the encoding and decoding method of two real numbers were designed. Pheromone intensity method in the ant colony algorithm was used to update the directions of ants to keep the hints on their directions and memories during the update process. The validity of the model and algorithm was verified by the simulation optimization and comparative analysis by numerical examples. © 2018, Editorial Department of CIMS. All right reserved.

引用

页码：1024 / 1033

页数：9

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