Analysis of scheduling rules for an FMS

Montazeri, Morteza; Wassenhove, L. N. Van

doi:10.1080/00207549008942754

Cited by 206 publications

(78 citation statements)

References 8 publications

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“…There are several reviews: see e.g. Blackstone et al (1982), Baker (1984), Montarezi and Van Wassenhove (1990), Ramesh (1990), Engell and Moser (1992), or Panwalkar and Iskander (1997) who classified 113 DRs. However, a universally accepted result of these studies is that no DR performs globally better than any others (Pierreval and Mebarki, 1997).…”

Section: Selected Dispatching Rulesmentioning

confidence: 99%

“…In order obtain practical results it was assumed that real processing times of job are unknown in advance. The following notation is used: • SPT, Shortest Processing Time (Montarezi and Van Wassenhove, 1990). Select the job with the shortest processing time, i.e., selects the minimum ib Z , where:…”

Section: Appendix: Definition Of the Dispatching Rulesmentioning

confidence: 99%

“…In this line, the influence of priority rules on the performance of different production control systems has been studied by several authors (see e.g. Montarezi and Van Wassenhove (1990), Kayton et al 1997, Lixing et al (2000, or Lee et al (2009).…”

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confidence: 99%

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A multi-objective comparison of dispatching rules in a drum–buffer–rope production control system

González‐R

Framiñán

Ruiz‐Usano

2010

International Journal of Computer Integrated Manufacturing

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Section: Selected Dispatching Rulesmentioning

confidence: 99%

Section: Appendix: Definition Of the Dispatching Rulesmentioning

confidence: 99%

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A multi-objective comparison of dispatching rules in a drum–buffer–rope production control system

González‐R

Framiñán

Ruiz‐Usano

2010

International Journal of Computer Integrated Manufacturing

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“…One of the most commonly applied solutions to the scheduling problem in FMSs involves using dispatching rules, which have been evaluated for performance by many researchers (see for example, [1]- [3]). Almost all the above studies point to the fact that rule performance depends on the criteria that are chosen, and the system"s configuration and conditions (utilization level of the system, relative loading, due date tightness, and so on).…”

Section: Introductionmentioning

confidence: 99%

Real-Time Scheduling of Flexible Manufacturing Systems Using Support Vector Machines and Case-Based Reasoning

Priore¹,

Pino²,

Parreño³

et al. 2015

JOEBM

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Abstract-Dispatching rules are usually applied to schedule jobs in Flexible Manufacturing Systems (FMSs) dynamically. Despite their frequent use, one of the drawbacks that they display is that the state the manufacturing system is in dictates the level of performance of the rule. As no rule is better than all the other rules for all system states, it would highly desirable to know which rule is the most appropriate for each given condition, and to this end this paper proposes a scheduling approach that employs Support Vector Machines (SVMs) and case-based reasoning (CBR). Using these latter techniques, and by analysing the earlier performance of the system, "scheduling knowledge" is obtained whereby the right dispatching rule at each particular moment can be determined. A module that generates new control attributes is also designed in order to improve the "scheduling knowledge" that is obtained. Simulation results show that the proposed approach leads to significant performance improvements over existing dispatching rules.

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“…But there is a problem of easily adapting these aggregated rules which are necessary when the manufacturing system changes. For a recent survey of dispatching and aggregated rules we refer to [6].…”

Section: Introductionmentioning

confidence: 99%