Order-release planning using variable lead times based on a backward simulation model

Watson, Edward; Medeiros, D. J.; Sadowski, Randall P.

doi:10.1080/00207549508904850

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…In this paper, we use two independent simulation models to run the backward pass and the forward pass. Below we give a brief overview of the purpose of each planning pass but we refer the reader to other sources for a more detailed explanation (Watson, et al 1995;(Watson 1993). …”

Section: Qrp Planning Approachmentioning

confidence: 99%

“…Here we provide a brief overview of the mechanics, but we refer the reader to other sources for a more detiled explanation (Watson, et al 1995;Watson 1993). …”

Section: Qrp Mechanics and Assumptionsmentioning

confidence: 99%

“…In the first experiment we focus on 8 manufacturing environment factors to determine how qRP performs relative to pMRP. A detailed report of this experiment is provided by Watson, et al (1995); here we only discuss ' key issues that have lead to the second experiment. The second experiment has not been reported elsewhere and is discussed below.…”

Section: Comparison Of Qrp and Mrpmentioning

confidence: 99%

“…In the first experiment (Watson, et al 1995 Performance measures are used to capture customer satisfaction levels and inventory investment levels: mean tardiness of orders, percent tardy of orders, mean earliness of orders, mean work-in-process, mean stacked lead time (sum of component and assembly flow times), and mean order lead time. Following the first two-level factorial experiments, focus is placed on product structure and master schedule demand pattern and a three level factorial experiment is conducted.…”

Section: Preliminary Experimentation and Analysismentioning

confidence: 99%

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A simulation-based backward planning approach for order-release

Watson

Medeiros

Sadowski³

1997

Proceedings of the 29th Conference on Winter Simulation - WSC '97

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The problem of order release planning for a make-toorder production facility is addressed. Traditionally, order-release planning in a multi-stage shop is performed with material requirements planning (MRP) logic. MRP assumes infinite resource capacity and component lead times that are estimated using historical data, past experience, and rules-of-thumb. These assumptions often result in infeasible plans that make the task of scheduling difEcult. An approach to order release planning termed qRP (resource planning based on queuing simulation) is discussed. qRP generates order release plans via a backward bill of material explosion logic similar to MRP except that a queuing simulation model of the facility is used. The simulation model captures the appropriate level of detail to provide a more realistic picture for planning. Component lead times are time-based (dependent on the current state of the shop) and may change from period to period. Automatic factory and simulation model generators are developed to compare this dynamic lead time approach with the static approach offered by MRP. Generalizations are made for key manufacturing attributes.

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Section: Qrp Planning Approachmentioning

confidence: 99%

“…Here we provide a brief overview of the mechanics, but we refer the reader to other sources for a more detiled explanation (Watson, et al 1995;Watson 1993). …”

Section: Qrp Mechanics and Assumptionsmentioning

confidence: 99%

Section: Comparison Of Qrp and Mrpmentioning

confidence: 99%

Section: Preliminary Experimentation and Analysismentioning

confidence: 99%

See 2 more Smart Citations

A simulation-based backward planning approach for order-release

Watson

Medeiros

Sadowski³

1997

Proceedings of the 29th Conference on Winter Simulation - WSC '97

View full text Add to dashboard Cite

show abstract

“…Figure 3 shows the concept of the Fab-level backward capacity-filtering procedure. The production and Sadowski 1995Sadowski , 1997Pritsker and Snyder 1997;Ho and Li 2004), genetic algorithm-based approaches (Kurz and Askin 2004;Huang and Suer 2015;Kurdi 2016), and time-bucketing approaches (Shimoyashiro, Isoda, and Awane 1984;Ragatz and Mabert 1988;Bobrowski 1989;Cigolini and Portioli-Staudacher 2002;Saad, Pickett, and Kittiaram 2004). Although the use of simulations is a powerful technique for the evaluation of various alternative solutions, it has limitations regarding the generation of suitable solutions on the first step.…”

Section: Introductionmentioning

confidence: 99%

Backward capacity-filtering for electronics Fabs

Seo

Chung

Kim³

et al. 2016

Production Planning & Control

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In electronics Fabs such as semiconductor Fabs and liquid crystal display (LCD) Fabs, which are capitalintensive, finite-capacity planning is critical to achieving full-capacity production and on-time production. However, existing finite-capacity planning methods do not adequately reflect the actual capacity profiles of an electronics Fab. In this paper, we propose a new Fab-level capacity-filtering procedure to generate finite-capacity plan: a backward capacity-filtering procedure for generating finite-capacity release plan. When developing the Fab-level filtering procedures, we use stage-level capacity-filtering algorithms as a key building block. In this study, we enhance the previous capacity-filtering algorithms proposed by one of the authors in order to facilitate the practical requirements of electronics Fabs. We apply the proposed capacity-filtering method to a modern LCD-TFT Fab in Korea. Performance analyses demonstrate that the proposed method is superior to existing methods. ARTICLE HISTORYFinite-capacity planning; flexible flow line; electronic Fab; lcd and semiconductor Fab

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System development for establishing shipyard mid-term production plans using backward process-centric simulation

Sung

Shen

et al. 2020

International Journal of Naval Architecture and Ocean Engineeri

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Order-release planning using variable lead times based on a backward simulation model

Cited by 9 publications

References 13 publications

A simulation-based backward planning approach for order-release

A simulation-based backward planning approach for order-release

Backward capacity-filtering for electronics Fabs

System development for establishing shipyard mid-term production plans using backward process-centric simulation

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