求翻译,不要在线翻译,专业英语翻译在线的不准

求翻译,不要在线翻译,专业英语翻译在线的不准
Abstract
This work applies fuzzy sets to integrating manufacturing/distribution planning decision (MDPD) problems with multi-product and multi-time period in supply chains by considering time value of money for each of the operating cost categories. The proposed fuzzy multi-objective linear programming model (FMOLP) attempts to simultaneously minimize total costs and total delivery time with reference to inventory levels, available machine capacity and labor levels at each source, as well as market demand and available warehouse space at each destination, and the constraint on total budget. An industrial case demonstrates the feasibility of applying the proposed
model to a realistic MDPD problem and several significant management implications are presented based on computational analysis and comparisons with the existing MDPD methods. The main advantage of the proposed model is that it presents a systematic framework that facilitates fuzzy decision-making for solving the multi-objective MDPD problems with multi-product and multi-time period in supply chains under an uncertain environment, enabling the decision maker to adjust the search direction during the solution procedure to obtain a preferred satisfactory solution.
_ 2008 Elsevier Ltd. All rights reserved.

文摘
这项工作应用模糊集整合制造/布局规划决策(MDPD)问题,多产品、多考虑在供应链时期货币时间价值营运成本为每一个类别.建议的模糊多目标线性规划模型(FMOLP)试图同时减少总成本和整个交货时间,参照库存水平,可利用的设备能力和劳动力水平,在每一个源,以及市场需求和可用的仓库空间在每个地点,制约的全部预算.工业病例示范了应用该的可行性
模型MDPD现实的几个重要管理问题,提出一种基于意义的比较和计算分析与现有的MDPD方法.其主要优势是,该数学模型,提出了一种模糊决策辅助系统框架为解决问题多目标MDPD多产品、多在供应链时期在不确定环境下,使决策者调整搜索方向,求解过程中获得优先的令人满意的解决方案.
_ 2008年有限公司.版权所有.