Applying Multi-objective Genetic Algorithm for Logistics Planning Problem

碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 105 === In recent years, with the growth of the online shopping market, the rapid development of logistic demand makes it an important task to establish a complete and convenient logistics and distribution system. How to improve the distribution flexibility under...

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Bibliographic Details
Main Authors: RUI-YING CHANG, 張睿穎
Other Authors: 車振華
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/m5n3a7
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Summary:碩士 === 國立臺北科技大學 === 工業工程與管理系碩士班 === 105 === In recent years, with the growth of the online shopping market, the rapid development of logistic demand makes it an important task to establish a complete and convenient logistics and distribution system. How to improve the distribution flexibility under the conditions of efficiency and quality to meet customer needs, and effectively reduce the distribution costs, to maximize corporate profits, promote the growth and competitiveness of the logistics industry. This study will focus on the internal and external operating network of the freight industry. In order to address the serious carbon emissions caused by the transport industry, this study aims to minimize the carbon emissions generated by total driving. In recent years, the Government has increased the minimum wage, overtime pay. therefore, the study also consider the work of the truck balance to minimize the difference between each truck’s delivery time as the goal to multi- Window constrained vehicle routing problem to construct a mathematic model to solve the path of delivery of goods by multi-objective genetic algorithm planning. In addition, the study will build an instant, flexible, real-time delivery application for cargo delivery through the provision of an information system, combined with personal mobile device (APP) technology, to deliver information to carriers and other customers via instant delivery of the multi-demand.