An evaluation of approaches to modelling and simulating manufacturing systems

Ekere, N.N.; Hannam, R. G.

doi:10.1080/00207548908942571

Cited by 24 publications

(7 citation statements)

References 8 publications

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“…The authors made use of the case‐study experience and selection criteria suggested by other authors[5, 6, 7, 8] in order to develop a list of eight criteria which reflect the issues that need to be addressed when choosing manufacturing software and simulation packages in particular. The criteria are described below in some detail.…”

Section: Criteria For Selecting Simulation Criteriamentioning

confidence: 99%

Evaluating and Selecting Simulation Software Using the Analytic Hierarchy Process

Davis

Williams²

1994

Integrated Manufacturing Systems

101

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In order to be competitive and progress to a state of excellence in manufacture, companies are currently experiencing change. Decisions have to be made about the best way forward, and some insight into the possible outcomes is desirable. There is a small but growing awareness among British manufacturing companies that simulation could aid this insight, but potential users face the problem of evaluating and selecting from the many proprietary systems, the one which best matches their requirements at some preferred cost. Selection is made more difficult by continual updates and modifications to systems and by new software suppliers entering the market. Uses a research case study as the vehicle for proposing a framework for assessment and selection of simulation systems involving the use of the Analytic Hierarchy Process (AHP). Illustrates how this technique was used to make a system selection which matched a company′s selection criteria.

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Section: Criteria For Selecting Simulation Criteriamentioning

confidence: 99%

Evaluating and Selecting Simulation Software Using the Analytic Hierarchy Process

Davis

Williams²

1994

Integrated Manufacturing Systems

101

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“…For example, Ekere and Hannam (1989) use a number of actual FMSs to explore the language features necessary to simulate manufacturing systems; however, they do not question whether simulation is necessary, nor do they compare the results obtained from using simulation with empirical methods.…”

Section: Simulation Of Fmssmentioning

confidence: 98%

Selecting technology for investment in flexible manufacturing

Primrose

Leonard

1991

Int J Flex Manuf Syst

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Abstract. Flexible manufacturing (FM) has progressed to the stage where the concepts and the available technology are well established and proven. Investment in FM can be very profitable, but must be aimed at achieving clearly defined objectives. This article describes the scope of FM and shows that the required technical specification is determined by the nature of the potential benefits.The ability to quantify all the potential benefits of FM in financial terms means that investment should not be made without a financial evaluation, but should be treated as any other investment decision. Advice is given to show companies how to identify the companywide benefits of FM and to relate these to the required technology before selecting potential suppliers.

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“…These range from rule-based and/or expert systems (Lausen 1988, Mikkilineni et al 1988 to hierarchical schemes (Brand and Kopainsky 1988, Ekere and Hannam 1989, Kasturia et al 1988). Rule-based strategies attempt to compensate for the problems associated with the analytical models by developing rule bases that attempt to formalize the heuristics typically used by human operators.…”

Section: Fms Modellingmentioning

confidence: 99%

“…According to Ekere and Hannam (1989), system features that must be modelled to adequately characterize a given FMS include:…”

Section: Fms Modellingmentioning

confidence: 99%

Celeritas: a coloured Petri net approach to simulation and control of flexible manufacturing systems

Cossins

Ferreira

1992

International Journal of Production Research

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An evaluation of approaches to modelling and simulating manufacturing systems

Cited by 24 publications

References 8 publications

Evaluating and Selecting Simulation Software Using the Analytic Hierarchy Process

Evaluating and Selecting Simulation Software Using the Analytic Hierarchy Process

Selecting technology for investment in flexible manufacturing

Celeritas: a coloured Petri net approach to simulation and control of flexible manufacturing systems

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