Rolling horizon master production schedule performance: A policy analysis

Ray R. Venkataraman, Michael P. D'Itri

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In this paper, a simulation experiment has been developed to examine the combined influence of the design, inventory and environmental factors on the cost performance of a rolling horizon master production schedule. Specifically, a 25 factorial design was used to examine the effects associated with three rolling schedule design policies, one inventory policy and one environmental condition of forecast error on MPS cost performance. The study was based on actual data from a paint company. Results suggest that the choice of appropriate lot-size and inventory policies have a significant influence on MPS costs and that there are indeed important interactions between these policies and other design factors of a rolling schedule.

Original languageEnglish (US)
Pages (from-to)669-679
Number of pages11
JournalProduction Planning and Control
Volume12
Issue number7
DOIs
StatePublished - Oct 1 2001

Fingerprint

Costs
Paint
Schedule
Policy analysis
Rolling horizon
Industry
Inventory policy
Experiments
Forecast error
Interaction
Factors
Simulation experiment
Factorial design
Environmental factors
Environmental conditions
Lot size
Policy design

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Cite this

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Rolling horizon master production schedule performance : A policy analysis. / Venkataraman, Ray R.; D'Itri, Michael P.

In: Production Planning and Control, Vol. 12, No. 7, 01.10.2001, p. 669-679.

Research output: Contribution to journalArticle

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