绿色配送中心模型:使用过程方法和禁忌搜索元启发式的环境友好性和运营效率

Rodrigo Andrés Gómez Montoya, A. C. Espinal, J. D. Vahos
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引用次数: 3

摘要

本文旨在开发和验证一个由三个组件组成的绿色配送中心模型:管理模块;仓库管理系统(WMS);以及元启发式。通过在一家中型食品公司的配送中心验证该模型,实现了二氧化碳排放量的减少,相当于每月731公斤,即订单准备问题的37%。此外,还开发了禁忌搜索元启发式建模,以解决订单准备的路由问题;这使得操作效率提高了约18.83%,并且每月减少198kg的当量CO2。因此,绿色配送中心模型同时提高了效率,减少了二氧化碳的公斤数,使用了文献中未提及的物流过程方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelo de centro de distribución verde: amigabilidad con el medio ambiente y eficiencia operacional usando un enfoque de procesos y un metaheurístico de búsqueda tabú
This article is intended to develop and validate a green distribution center model consisting of three components: a management module; a warehouse management system (WMS); and a metaheuristics. As a result of the validation of the model at a Distribution Center of a medium-size food company, a reduction of CO 2 emissions was achieved, equivalent to 731 kg/month or 37% of issues for preparation of orders. Additionally, the modeling of a Taboo Search metaheuristics was developed to resolve the routing problem for the preparation of orders; this allowed increasing the operation efficiency in about 18.83% and to obtain a reduction of 198 kg of equivalent CO 2 per month. Therefore, the green distribution center model, simultaneously, increased the efficiency and reduced the amount of kilograms of CO 2 , using an approach that had not been addressed in literature for this logistic process.
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