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Predictive Planning for Supply Chain Management

机译:供应链管理的预测性计划

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摘要

Supply chains are ubiquitous in the manufacturing of many complex products. Traditionally, supply chains have been created through the intricate interactions of human representatives of the various companies involved. However recent advances in planning, scheduling, and autonomous agent technologies have sparked an interest, both in academia and in industry, in automating the process. The Trading Agent Competition Supply Chain Management (TAC SCM) scenario provides a unique testbed for studying and prototyping supply chain management agents by providing a competitive environment in which independently created agents can be tested against each other over the course of many simulations. This paper presents the features of TAC SCM from a planning and scheduling perspective and introduces TacTex-05, the champion agent from the 2005 competition. TacTex-05 takes a predictive approach to its many planning and scheduling decisions by estimating future resource availability and constraints. This paper focuses on these aspects of the agent and isolates their impact with controlled empirical tests.
机译:供应链在许多复杂产品的制造中无处不在。传统上,供应链是通过涉及的各个公司的人类代表之间复杂的互动而建立的。但是,规划,调度和自治代理技术的最新进展引起了学术界和工业界对过程自动化的兴趣。贸易代理商竞争供应链管理(TAC SCM)方案提供了一个竞争性环境,使独立创建的代理可以在许多模拟过程中相互测试,从而为研究和原型化供应链管理代理提供了独特的测试平台。本文从计划和调度的角度介绍了TAC SCM的功能,并介绍了TacTex-05(2005年竞赛的冠军代理商)。 TacTex-05通过估计未来的资源可用性和约束条件,对许多计划和调度决策采取了预测性方法。本文着重于代理的这些方面,并通过受控的经验测试来隔离它们的影响。

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