A comparative analysis of the COVERT job sequencing rule using various shop performance measures

Russell, Roberta S.; Dar-El, Ezey M.; Taylor, Bron

doi:10.1080/00207548708919930

Cited by 92 publications

(28 citation statements)

References 12 publications

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“…This can be easily done by summing the processing times of all operations for each job, and multiplying this summation with a certain allowance factor value (c) that represents the due date tightness. The values for the allowance factor have been experimentally set such that approximately x% of the jobs will finish later than their due date (Jensen et al, 1995;Russell et al, 1987). To that purpose, the job shop instances have been scheduled with the quick and easy SPT rule applicable to various objective functions for different values of the allowance factor.…”

Section: Approachmentioning

confidence: 99%

“…Section A.2 list the single priority rules together with their mathematical formulation. For this overview, we based ourselves on the papers of, among others, Panwalkar and Iskander (1977), Blackstone et al (1982), Baker (1984), Russell et al (1987), Vepsalainen and Morton (1987), Anderson and Nyirenda (1990), Waikar et al (1995), Holthaus and Rajendran (1997), Rajendran and Holthaus (1999), Jayamohan and Rajendran (2000), Holthaus and Rajendran (2000), Dominic et al (2004), Mizrak and Bayhan (2006) and Chiang and Fu (2007). Finally, in Section A.3, more information is given on the combination of the single rules.…”

Section: Appendix Amentioning

confidence: 99%

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A comparison of priority rules for the job shop scheduling problem under different flow time- and tardiness-related objective functions

Sels

Gheysen

Vanhoucke

2012

International Journal of Production Research

136

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Section: Approachmentioning

confidence: 99%

Section: Appendix Amentioning

confidence: 99%

A comparison of priority rules for the job shop scheduling problem under different flow time- and tardiness-related objective functions

Sels

Gheysen

Vanhoucke

2012

International Journal of Production Research

136

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“…The parameter is called the lead-time estimation parameter that takes account of waiting time, while is called the adjustment multiplier that adjusts the expected waiting time to the worst case. See Russell et al [18] and Vepsalainen and Morton [22] for more details. In this study, we test combinations of several values for these two parameters, and select the best values considering the solution quality and the CPU time.…”

Section: Part Scheduling Algorithmsmentioning

confidence: 99%

Tool requirements planning in a flexible manufacturing system with an automatic tool transporter

Kim¹,

Lee

Choi

et al. 2001

IEEE Trans. Robot. Automat.

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Abstract-We consider a tool requirements planning problem in a flexible manufacturing system with an automatic tool transporter. The problem considered here is that of determining the number of tool copies of each tool type with the objective of minimizing total tardiness of orders with distinct due dates for a given budget for tool purchase. For the problem, several heuristic algorithms are developed using greedy search methods and simulation. In the heuristic algorithms, the numbers of tool copies for certain tool types are increased until they cannot be increased any more because of the budget limit. Simulation results are used to determine search directions or to select tool types of which the numbers of copies are to be increased. Computational experiments are performed on randomly generated test problems and results show that a good tool requirements plan can be obtained with the heuristic algorithms in a reasonable amount of computation time.Index Terms-Flexible manufacturing systems, loading and scheduling, tool movement systems, tool requirements planning.

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“…While is called the lead-time estimation parameter that considers waiting time between operations of a lot, is called the adjustment multiplier that adjusts expected waiting time to the worst case. See Russell et al [14] and Vepsalainen and Morton [15] for more details.…”

Section: A Lot Release Controlmentioning

confidence: 99%

Due-date based scheduling and control policies in a multiproduct semiconductor wafer fabrication facility

Kim

Lim

et al. 1998

IEEE Trans. Semicond. Manufact.

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Abstract-This paper focuses on lot release control and scheduling problems in a semiconductor wafer fab producing multiple products that have different due dates and different process flows. For lot release control, it is necessary to determine the type of a wafer lot and the time to release wafers into the wafer fab, while it is necessary to determine sequences of processing waiting lots in front of workstations for lot scheduling. New dispatching rules are developed for lot release control and scheduling considering special features of the wafer fabrication process. Simulation experiments are carried out to test the dispatching rules. Results show that lot release control and lot scheduling at photolithography workstations are more important than scheduling at other workstations. Also, it is shown that new dispatching rules work better in terms of tardiness of orders than existing rules such as the EDD (earliest due date) rule and other wellknown dispatching rules for multimachine scheduling.

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A comparative analysis of the COVERT job sequencing rule using various shop performance measures

Cited by 92 publications

References 12 publications

A comparison of priority rules for the job shop scheduling problem under different flow time- and tardiness-related objective functions

A comparison of priority rules for the job shop scheduling problem under different flow time- and tardiness-related objective functions

Tool requirements planning in a flexible manufacturing system with an automatic tool transporter

Due-date based scheduling and control policies in a multiproduct semiconductor wafer fabrication facility

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