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A New Process Quality-based Multi-objective Multi-part Approach for the Integrated Process Planning and Scheduling (IPPS) Problem in Reconfigurable Manufacturing Environment

机译：基于新的基于过程质量的多目标多部分方法，用于可重新配置制造环境中的集成过程规划和调度（IPPS）问题

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This paper addresses the so-called integrated process planning and scheduling (IPPS) problem in a reconfigurable manufacturing environment. Process planning and scheduling are two important and complex functions in manufacturing. To reduce the problem complexity, they are considered sequentially by traditional approaches. In this paper, we consider the simultaneous integration of both functions by developing a heuristic approach to solve the IPPS problem in a reconfigurable environment. Reconfigurable manufacturing systems (RMSs) comprise of a set of machines distinguished by multiple working configurations and tools. Each machine can perform a certain number of operations based on its configurations and their availability. The purpose of the proposed heuristic approach is to find the best assignment of operations to machines while considering process-quality. Finally, to demonstrate the approach applicability, an illustrative numerical example is presented and the results discussed.
机译：本文在可重新配置的制造环境中解决了所谓的集成流程规划和调度（IPPS）问题。过程规划和调度是制造业的两个重要和复杂的功能。为了减少问题复杂性，它们被传统方法顺序考虑。在本文中，我们考虑通过开发一种启发式方法来解决可重新配置环境中的IPPS问题的启发式方法。可重新配置的制造系统（RMS）包括由多个工作配置和工具的一组机器。每台机器都可以根据其配置和其可用性执行一定数量的操作。拟议的启发式方法的目的是在考虑过程质量的同时找到对机器的最佳作业分配。最后，为了证明这种方法适用性，提出了说明性数值示例并讨论了结果。

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