Simulation-based supply-chain optimization for consumer products

Kalasky, David R.

doi:10.1145/256562.256971

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…Optimization varies multiple input parameters to find a combination that provides the best objective function value. Kalasky (1996) makes use of ProModel's SimRunner optimizer to schedule production at a plant for a supply chain problem. Kalasky optimizes this model using a single performance measure (total cost), but notes that SimRunner allows a user to define a multi-variable weighted objective function.…”

Section: Softwarementioning

confidence: 99%

A survey of recent advances in discrete input parameter discrete-event simulation optimization

et al. 2004

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Discrete-event simulation optimization is a problem of significant interest to practitioners interested in extracting useful information about an actual (or yet to be designed) system that can be modeled using discrete-event simulation. This paper presents a survey of the literature on discrete-event simulation optimization published in recent years (1988 to the present), with a particular focus on discrete input parameter optimization. The discrete input parameter case differentiates techniques appropriate for small and for large numbers of feasible input parameter values. Examples of applications that illustrate these methods are also discussed.

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Section: Softwarementioning

confidence: 99%

A survey of recent advances in discrete input parameter discrete-event simulation optimization

et al. 2004

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Toward increased use of simulation in transportation

Brunner¹,

Cross²,

McGhee³

et al.

1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274)

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The validity and usefulness of system simulation has been well-established for decades in areas such as computer and communications systems, general manufacturing systems, and military systems along with many other areas. Recent years have seen the technique become entrenched in specific areas such as automotive manufacturing, semiconductor fabrication, and automated warehouse design.Transportation simulation also has a long history as evidenced by publication of numerous transportation simulation papers in the Winter Simulation Conference Proceedings and other publications over the years. During the past few years the number of transportation simulation applications presented at WSC has increased, to the point that in WSC'98 for the first time there is an entire track -24 presentations organized into eight sessions along with this panel sessiondevoted to transportation simulation applications.Is transportation poised to be the next big growth area for discrete-event simulation? Is it already a major area, left relatively unnoticed over the years due to the number of different application subareas? Is the growth already happening? What are the opportunities, and what are the barriers? This panel will address these and other questions. Key challenges in this simulation effort were:

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Supply chain analysis: spreadsheet or simulation?

Chwif

Barretto²,

Saliby³

Proceedings of the Winter Simulation Conference

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Simulation-based supply-chain optimization for consumer products

Cited by 4 publications

References 3 publications

A survey of recent advances in discrete input parameter discrete-event simulation optimization

A survey of recent advances in discrete input parameter discrete-event simulation optimization

Toward increased use of simulation in transportation

Supply chain analysis: spreadsheet or simulation?

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