An investigation of the influence of coefficient of variation in the demand distribution on the performance of several lean production control strategies

John Geraghty; Cathal Heavey

doi:10.1504/ijmtm.2010.032894

An investigation of the influence of coefficient of variation in the demand distribution on the performance of several lean production control strategies

John Geraghty
, Cathal Heavey

School of Engineering

Dublin City University

Research output: Contribution to journal › Article › peer-review

Abstract

This paper presents a comparison of five lean production control strategies, namely Kanban control strategy, CONWIP, Hybrid Kanban-CONWIP, basestock control strategy and extended Kanban control strategy. The strategies were examined under a light-to-medium demand load with increasing coefficient of variation. Discrete event simulation was used to compare the performances of strategies under the criteria of obtaining a given service level with minimal WIP. The results show that under a light-to-medium variable demand load Hybrid Kanban-CONWIP is the best strategy with KCS consistently the worst performer.

Original language	English
Pages (from-to)	94-119
Number of pages	26
Journal	International Journal of Manufacturing Technology and Management
Volume	20
Issue number	1-4
DOIs	https://doi.org/10.1504/ijmtm.2010.032894
Publication status	Published - May 2010

Keywords

Basestock
CONWIP
Constant work in progress control strategy
Extended Kanban control
HK-CONWIP
Hybrid Kanban-CONWIP
Kanban
LPCS
Lean production control strategies

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1504/ijmtm.2010.032894

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title = "An investigation of the influence of coefficient of variation in the demand distribution on the performance of several lean production control strategies",

abstract = "This paper presents a comparison of five lean production control strategies, namely Kanban control strategy, CONWIP, Hybrid Kanban-CONWIP, basestock control strategy and extended Kanban control strategy. The strategies were examined under a light-to-medium demand load with increasing coefficient of variation. Discrete event simulation was used to compare the performances of strategies under the criteria of obtaining a given service level with minimal WIP. The results show that under a light-to-medium variable demand load Hybrid Kanban-CONWIP is the best strategy with KCS consistently the worst performer.",

keywords = "Basestock, CONWIP, Constant work in progress control strategy, Extended Kanban control, HK-CONWIP, Hybrid Kanban-CONWIP, Kanban, LPCS, Lean production control strategies",

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doi = "10.1504/ijmtm.2010.032894",

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AU - Geraghty, John

AU - Heavey, Cathal

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N2 - This paper presents a comparison of five lean production control strategies, namely Kanban control strategy, CONWIP, Hybrid Kanban-CONWIP, basestock control strategy and extended Kanban control strategy. The strategies were examined under a light-to-medium demand load with increasing coefficient of variation. Discrete event simulation was used to compare the performances of strategies under the criteria of obtaining a given service level with minimal WIP. The results show that under a light-to-medium variable demand load Hybrid Kanban-CONWIP is the best strategy with KCS consistently the worst performer.

AB - This paper presents a comparison of five lean production control strategies, namely Kanban control strategy, CONWIP, Hybrid Kanban-CONWIP, basestock control strategy and extended Kanban control strategy. The strategies were examined under a light-to-medium demand load with increasing coefficient of variation. Discrete event simulation was used to compare the performances of strategies under the criteria of obtaining a given service level with minimal WIP. The results show that under a light-to-medium variable demand load Hybrid Kanban-CONWIP is the best strategy with KCS consistently the worst performer.

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KW - CONWIP

KW - Constant work in progress control strategy

KW - Extended Kanban control

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JO - International Journal of Manufacturing Technology and Management

JF - International Journal of Manufacturing Technology and Management

IS - 1-4

ER -

An investigation of the influence of coefficient of variation in the demand distribution on the performance of several lean production control strategies

Abstract

Keywords

UN SDGs

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