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Auction-based Heuristic in Digitised Manufacturing Environment for Part Type Selection and Operation Allocation

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Collaborative Design and Planning for Digital Manufacturing

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Abstract

This chapter high lights some of the key issues involved in developing real schedule generation architecture in an e-manufacturing environment. The high cost, long cycle time of development of shop floor control systems and the lack of robust system integration capabilities are some of the major deterrents to the development of the underlying architecture. We conceptualise a robust framework, capable of providing flexibility to the system, communicating among various entities and making intelligent decisions. Owing to the fast communication, distributed control and autonomous character, agent-oriented architecture has been preferred to address the scheduling problem in e-manufacturing. An integer programming-based model with dual objectives of minimising the make span and increasing the system throughput has been formulated to determine the optimal part type sequence from the part type pool. It is very difficult to appraise all possible combinations of operationmachine allocations in order to accomplish the above objectives. A combinatorial auctionbased heuristic has been proposed to minimise large search spaces and to obtain optimal or near optimal solutions of operation-machine allocations of given part types with tool slots and available machine time as constraint. The effects of exceeding the planning horizon due to urgency of part types or over time given to complete the part type processing on shop floor is also exhibited and a significant increase in system throughput is observed.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Management, Indian Institute of Technology, 721302, Kharagpur, India

    M. K. Tiwari & M. K. Pandey

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  1. M. K. Tiwari
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  2. M. K. Pandey
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Editors and Affiliations

  1. University of Skövde, PO Box 408, 541 28, Skövde, Sweden

    Lihui Wang

  2. National University of Singapore, 9 Engineering Drive 1, 117576, Singapore, Singapore

    Andrew Y.C. Nee

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Tiwari, M., Pandey, M. (2009). Auction-based Heuristic in Digitised Manufacturing Environment for Part Type Selection and Operation Allocation. In: Wang, L., Nee, A. (eds) Collaborative Design and Planning for Digital Manufacturing. Springer, London. https://doi.org/10.1007/978-1-84882-287-0_9

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  • DOI: https://doi.org/10.1007/978-1-84882-287-0_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-286-3

  • Online ISBN: 978-1-84882-287-0

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