A computational comparison of cyclical and non-cyclical control for stochastic production-inventory systems

P.L.M. Nyen, van; J.W.M. Bertrand; H.P.G. Ooijen, van

doi:10.1080/00207540701757037

A computational comparison of cyclical and non-cyclical control for stochastic production-inventory systems

P.L.M. Nyen, van, J.W.M. Bertrand, H.P.G. Ooijen, van

Operations Planning Accounting & Control

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Abstract

Cyclical production planning is popular in real-life because of its organisational benefits. We study the application and performance of cyclical production planning in a complex stochastic production-inventory system with job shop routings. We propose a decision-support system that allows computing cost efficient cyclical production plans. Insights on the applicability and performance of cyclical production planning are obtained from an extensive simulation study in which the cyclical approach is compared with a state-of-the-art non-cyclical approach.

Original language	English
Pages (from-to)	4609-4627
Journal	International Journal of Production Research
Volume	47
Issue number	16
DOIs	https://doi.org/10.1080/00207540701757037
Publication status	Published - 2009

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title = "A computational comparison of cyclical and non-cyclical control for stochastic production-inventory systems",

abstract = "Cyclical production planning is popular in real-life because of its organisational benefits. We study the application and performance of cyclical production planning in a complex stochastic production-inventory system with job shop routings. We propose a decision-support system that allows computing cost efficient cyclical production plans. Insights on the applicability and performance of cyclical production planning are obtained from an extensive simulation study in which the cyclical approach is compared with a state-of-the-art non-cyclical approach.",

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AB - Cyclical production planning is popular in real-life because of its organisational benefits. We study the application and performance of cyclical production planning in a complex stochastic production-inventory system with job shop routings. We propose a decision-support system that allows computing cost efficient cyclical production plans. Insights on the applicability and performance of cyclical production planning are obtained from an extensive simulation study in which the cyclical approach is compared with a state-of-the-art non-cyclical approach.

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DO - 10.1080/00207540701757037

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JO - International Journal of Production Research

JF - International Journal of Production Research

SN - 0020-7543

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A computational comparison of cyclical and non-cyclical control for stochastic production-inventory systems

Abstract

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