Theory and methodology
Tool planning models for flexible manufacturing systems

https://doi.org/10.1016/S0377-2217(96)00251-2Get rights and content

Abstract

Although the tool loading problem for Flexible Manufacturing Systems (FMSs) has been analyzed in the past, the tool planning problem, the basis of tool management, has largely been ignored. In this paper, the interface between tool planning and the FMS loading and routing decisions is analyzed. It is shown that tool policy has a pronounced effect on the flexibility and the planned makespan of an FMS. A tool planning model is developed and integrated into an overall FMS detailed tool loading and part routing procedure. This model while considerably reducing the number of tools required (by 55%) matches the performance of a policy that equips each machine with all tools in terms makespan, routing flexibility, and tool productivity.

References (60)

  • T-C Chang et al.

    Computer Aided Manufacturing

    (1991)
  • Y Chen et al.

    A multiobjective evaluation of flexible manufacturing system loading heuristics

    International Journal of Production Research

    (1990)
  • H Co et al.

    A methodical approach to the flexible manufacturing system batching, loading, and tool configuration problems

    International Journal of Production Research

    (1990)
  • J.S Edghill et al.

    FMS control strategy — a survey of the determining characteristics

  • R.G Fenton et al.

    The effects of statistical nature of tool life on the economics of machining

    International Journal of Machine Tool Design Research

    (1979)
  • M.B.W Graham et al.

    Institutional Aspects of Process Procurement for Flexible Machining Systems

    (1986)
  • A.E Gray et al.

    Decision Models for Tool Management in Automated Manufacturing

    Management Science

    (1993)
  • N.R Greenwood

    Implementing Flexible Manufacturing Systems

    (1988)
  • S.K Hankins et al.

    The impact of tooling in flexible manufacturing systems

  • S.K Hati et al.

    Determination of optimum machining conditions — deterministic and probabilistic approaches

    ASME, Journal Engineering Industry

    (1976)
  • K Hitomi

    Manufacturing Systems Engineering

    (1979)
  • J Hollingum

    Citroen

  • S.S Hwang et al.

    Modeling and solving an FMS part selection problem

    International Journal of Production Research

    (1989)
  • R Jaikumar

    Postindustrial Manufacturing

    Harvard Business Review

    (1986)
  • H Katayama

    FMS Tool Change Schemes and Their Characteristics

    Computers and Industrial Engineering

    (1994)
  • J.G Kimemia et al.

    An algorithm for the computer control of a flexible manufacturing system

    IIE Transactions

    (1983)
  • A Kochan

    Cessna

  • A Kochan

    Zahnradfabrik

  • A Kochan

    FMS is for the Big Boys in the U.S.

    The FMS Magazine

    (1985)
  • C.P Koulamas et al.

    Optimal machining conditions and buffer space size for the two stage case

    International Journal of Production Research

    (1987)
  • Cited by (18)

    • Scheduling identical parallel machines with tooling constraints

      2017, European Journal of Operational Research
      Citation Excerpt :

      Gray, Seidmann, and Stecke (1993) suggested an integrated conceptual framework for resource planning in order to avoid underutilization of the system. On a related note, Mohamed and Bernardo (1997) claimed that an inadequate number of tools contributes to a decrease in FMS productivity. The problem of optimizing the insertions and removals of tools in flexible manufacturing machines was tackled predominantly by heuristic methods.

    • A constraint programming approach to tool allocation and production scheduling in flexible manufacturing systems

      2010, Robotics and Computer-Integrated Manufacturing
      Citation Excerpt :

      Veeramani et al. [2], Gray et al. [3], and Atan and Pandit [4] have pointed out that the lack of proper attention to tool planning and allocation problems can lead to underutilization of the system. In addition, Mohamed and Bernardo [5] emphasized that an inadequate number of tools results in low machine utilization and an unacceptable level of downtime, leading to decreased FMS productivity. Therefore, both problems, tool planning and allocation, are critical issues associated with the scheduling problem.

    • A constraint programming model for the scheduling of flexible manufacturing systems with machine and tool limitations

      2010, Engineering Applications of Artificial Intelligence
      Citation Excerpt :

      In addition, FMS-scheduling problems are strongly affected by the number of tool copies at hand. Veeramani et al. (1992) and Mohamed and Bernardo (1997) emphasized that the lack of proper attention to this number can prevent manufacturing systems from achieving their maximum flexibility and may result in an unacceptable level of downtime, leading to a reduced FMS productivity. Thus, the tool planning subproblem, which determines the required number of tool copies to achieve the production requirements, is another critical issue associated with the problem.

    View all citing articles on Scopus
    1

    Dr Bernardo passed away on July 12, 1995. His contributions to the field of operations management will be with us forever.

    View full text