通过选择供应商和运输公司,计划向贸易网络交付食品的方法

IF 1.2 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
M. Magiera
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引用次数: 0

摘要

这篇论文涉及到计划将食品(特别是那些在某些季节可以买到的)交付给接受者:超市网络。本文提出了两种解决供应商和运输方式同时选择问题的方法,以及用这些运输方式构建产品流计划的方法。为所提出的求解方法建立了线性数学模型。其中考虑了成本准则。已考虑到下列费用:个别收货人购买产品、运输服务、在计划截止日期之前储存供应的产品和对延迟供应产品的处罚。比较了两种解决方法(用于运输规划和供应商选择和运输方式选择)。整体方法要求同时解决供应商选择和运输方式选择的问题。在备选(分层)解决方案中,首先选择供应商,然后选择运输公司及其相应的运输方式。计算实验结果用于分层和单片求解方法的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methods of planning deliveries of food products to a trade network with the selection of suppliers and transport companies
The paper refers to planning deliveries of food products (especially those available in certain seasons) to the recipients: supermarket networks. The paper presents two approaches to solving problems of simultaneous selection of suppliers and transportation modes and construction of product flow schedules with these transportation modes. Linear mathematical models have been built for the presented solution approaches. The cost criterion has been taken into consideration in them. The following costs have been taken into account: purchase of products by individual recipients, transport services, storing of products supplied before the planned deadlines and penalties for delays in supply of products. Two solution approaches (used for transportation planning and selection of suppliers and selection of transportation modes) have been compared. The monolithic approach calls for simultaneous solutions for the problems of supplier selection and selection of transportation modes. In the alternative (hierarchical) solution approach, suppliers are selected first, and then transportation companies and their relevant transportation modes are selected. The results of computational experiments are used for com-parison of the hierarchical and monolithic solution approaches.
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来源期刊
Archives of Control Sciences
Archives of Control Sciences Mathematics-Modeling and Simulation
CiteScore
2.40
自引率
33.30%
发文量
0
审稿时长
14 weeks
期刊介绍: Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.
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