基于绩效的物流合同优化

Júlio C. O. Lopes, R. Scarpel, F. Abrahão, D. Galar, L. Ciani
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引用次数: 2

摘要

基于绩效的物流(PBL)合同要求以系统的方式设定度量和方法,以合理的成本为作战人员提供准备。为了访问和分析数据,并为整个支持系统提供可靠和一致的输入,必须有一个聪明且可验证的度量标准连接,以实现其目标。在多标准和高度综合的环境中,通常会有奖励和惩罚制度,并建议发挥最大和(或)最小的作用。本研究涉及基于绩效的物流合同的整个设置的优化,并且仅限于在一个简单的场景中显示出预期结果的初步研究。提出了一种结合约束和目标规划的混合模型。结果表明,用于可靠性、可维护性、可用性和可支持性(RAMS)以及成本的指标可以同时对智能合约进行优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization in performance-based logistics contracts
Performance-based Logistics (PBL) contracts require metrics and methodologies set in a systemic way to provide readiness for the warfighter at reasonable costs. There must be a clever and verifiable connection of metrics in order to access and analyze data and to deliver sound and consistent inputs for the entire support system to accomplish its goals. A system of incentives and penalties usually takes place and suggests functions to be maximized and/or minimized in a multi-criterion and highly integrated environment. This study deals with the optimization of the entire setup of Performance-Based Logistics contracts and is limited to a preliminary study in a simple scenario that has showed a promises results. A mixed method, using both the £-Constraint and Goal Programming is proposed to model the case. Results indicate that metrics used for reliability, maintainability, availability and supportability (RAMS) and costs can be optimized simultaneously for clever contracts.
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