An Effective Approach for Distributed Process Planning Enabled by Event-driven Function Blocks

  • Lihui Wang
  • Hsi-Yung Feng
  • Ningxu Cai
  • Wei Jin
Part of the Springer Series in Advanced Manufacturing book series (SSAM)

Abstract

This chapter presents a function block enabled approach towards distributed process planning. It covers the basic concept, generic machining process sequencing using enriched machining features, process plan encapsulation in function blocks, and process monitoring through event-driven function blocks. A two-layer structure of supervisory planning and operation planning is proposed to separate generic data from machine-specific ones. The supervisory planning is only performed once, in advance, at the shop level to generate machine-neutral process plans, whereas the operation planning is carried out at runtime at the machine level to determine machine-specific operations. This dynamic decision making is facilitated by resource-driven algorithms embedded in the function blocks. The internal structures of typical function blocks are also introduced in the chapter. Our approach and algorithms are verified through case studies before drawing conclusions. It is expected that the new approach can greatly enhance the dynamism of fluctuating job-shop operations.

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Copyright information

© Springer-Verlag London Limited 2007

Authors and Affiliations

  • Lihui Wang
    • 1
  • Hsi-Yung Feng
    • 2
  • Ningxu Cai
    • 2
  • Wei Jin
    • 2
  1. 1.Integrated Manufacturing Technologies InstituteNational Research Council of CanadaLondonCanada
  2. 2.Department of Mechanical and Materials EngineeringThe University of Western OntarioLondonCanada

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