A Review of Multi‐stage Lot‐sizing Models

Gupta, Yash P.; Keung, Ying K.

doi:10.1108/01443579010004354

Cited by 23 publications

(8 citation statements)

References 43 publications

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“…Because the WW algorithm is established in the literature, the reader may refer to Wagner andWhitin (1958), De Bodt et al (1984) and Gupta and Keung (1990), among others, for a detailed description of the algorithm.…”

Section: Definitionsmentioning

confidence: 99%

An extension for dynamic lot-sizing heuristics

Beck

Grosse

Teßmann

2015

Production & Manufacturing Research

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This paper presents an efficient procedure to extend dynamic lot-sizing heuristics that has been overlooked by inventory management literature and practice. Its intention is to show that the extension improves the results of basic heuristics significantly. We first present a comprehensive description of the extension procedure and then test its performance in an extensive numerical study. Our analysis shows that the extension is an efficient tool to improve basic dynamic lot-sizing heuristics. The results of the paper may be used in inventory management to assist researchers in selecting dynamic lot-sizing heuristics and may be of help for practitioners as decision support.

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Section: Definitionsmentioning

confidence: 99%

An extension for dynamic lot-sizing heuristics

Beck

Grosse

Teßmann

2015

Production & Manufacturing Research

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“…This section will only highlight those literature relevant to our study, that is, the multilevel, discrete lot-sizing (MLDLS) literature. More detailed reviews on MRP lot sizing can be found in [3], [25], and [39].…”

Section: Relevant Literaturementioning

confidence: 99%

Effects of Product Structure Complexity on Multi‐level Lot Sizing*

1993

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As an input to the materials requirement planning (MRP) process, the product structure interacts with the lot-sizing rules to affect inventories, materials flow, and production costs. Despite engineering constraints, considerable latitude is still available to construct alternate product structures for the same product. An important concern of MRP managers and designers is the impact of product structure complexity on the cost performance of the lot-sizing rules. To date, there exists no detailed research that provides managers with guidelines that relate the lot-sizing rules to individual product structure parameters. We report on an extensive experiment to test the effects of individual product structure parameters on the relative cost performance of 11 lot-sizing rules. Three parameters-the number of items, number of levels, and commonality index-are proposed to characterise product structure complexity and used as factors in an experiment involving a large variety of product structures. The results indicate that all three parameters affect the relative cost differences but not the ranking of the rules. The overall best lot-sizing rule is Bookbinder and Koch's [ll] rule.

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“…A number of single-stage lot-sizing algorithms are available such as Wagner-Whitin (WW) (Wagner and Whitin, 1959), Silver-Meal (SM) (Silver and Meal, 1973), Simplified Part Period Balancing (SPPB) (De Matties, 1968), Least Unit Cost (LUC) (Love, 1979), Gaither's rule (GA) (Gaither, 1981), and Incremental Approach (ICA) (Boe and Yilmaz, 1983). Gupta and Keung (1990a) reviewed the literature dealing with application of single-stage lot-sizing algorithms to multi-stage systems and noticed that the researchers have given more attention to the application of these algorithms in studying assembly-type product structures. This is because of the increasing popularity of MRP.…”

Section: Introductionmentioning

confidence: 99%

KBLS: A prototype knowledge-based system for the selection of lot-sizing models

Gupta

Keung

1991

J Intell Manuf

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Research in experimental simulation of multi-stage inventory systems shows that a poor choice of lot-sizing heuristics has a significant degree of cost penalty and schedule instability. A realistic approach to a multi-stage system is to choose a suitable technique for a certain special circumstance rather than trying for a single best heuristic covering all cases. To avoid serious cost penalties and high schedule instability caused by inferior techniques, knowledge-based system technology could help practitioners to make a sensible choice of heuristics. In this paper, we develop a prototype knowledge-based system whose aim is to provide an acceptable lot-size schedule in a limited time which would hopefully lead to a good master production schedule.

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A Review of Multi‐stage Lot‐sizing Models

Cited by 23 publications

References 43 publications

An extension for dynamic lot-sizing heuristics

An extension for dynamic lot-sizing heuristics

Effects of Product Structure Complexity on Multi‐level Lot Sizing*

KBLS: A prototype knowledge-based system for the selection of lot-sizing models

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