A planning algorithm for distributed manufacturing

[1993] Proceedings International Conference on Intelligent and Cooperative Information Systems Pub Date : 1993-05-12 DOI:10.1109/ICICIS.1993.291765

T. Gyires, B. Muthuswamy

引用次数: 5

Abstract

Distributed manufacturing (DM), downsizing, and outsourcing are becoming increasingly popular. Processes in manufacturing a product may be distributed at different sites. A production plan in such environments consists of various subplans, team coordination schedules, and decision making on task-team assignments. We present a distributed artificial intelligence (DAI) approach that enables people and computers to work cooperatively as teams in decision making. Our model is a set of loosely coupled, autonomous, communicating problem solver nodes representing a functional unit such as design, production, testing, and accounting, that participate in planning, group problem solving and negotiation. A heuristic algorithm assigns subplans to sites to optimize costs.<>

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分布式制造的规划算法

分布式制造(DM)、精简和外包正变得越来越流行。制造产品的过程可能分布在不同的地点。在这样的环境中，生产计划由各种子计划、团队协调时间表和对任务团队分配的决策组成。我们提出了一种分布式人工智能(DAI)方法，使人和计算机能够在决策过程中作为团队合作。我们的模型是一组松散耦合的、自治的、相互通信的问题解决器节点，它们代表了一个功能单元，例如设计、生产、测试和会计，这些功能单元参与计划、群体问题解决和协商。启发式算法为站点分配子计划以优化成本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

[1993] Proceedings International Conference on Intelligent and Cooperative Information Systems

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