A disruption recovery model for a single stage production-inventory system

Hawa Hishamuddin, R. A. Sarker, D. Essam

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

This paper presents a newly developed disruption recovery model for a single stage production and inventory system, where the production is disrupted for a given period of time during the production up time. The model is categorized as a constrained non-linear optimization program which we have solved using an efficient heuristic developed in this paper. The model was also solved using an evolutionary algorithm and a comparison of the results from both methods was performed. The heuristic was able to accurately solve the model with significantly less time compared to the evolutionary algorithm. It can be shown that the optimal recovery schedule is dependent on the shortage cost parameters, as well as the extent of the disruption. The proposed model offers a potentially useful tool to help manufacturers decide on the optimal recovery plan in real time whenever the production system experiences a sudden disruption.

Original languageEnglish
Pages (from-to)464-473
Number of pages10
JournalEuropean Journal of Operational Research
Volume222
Issue number3
DOIs
Publication statusPublished - 1 Nov 2012

Fingerprint

Inventory Systems
Production Systems
Recovery
Optimal Recovery
Evolutionary algorithms
Evolutionary Algorithms
Heuristics
Model
Shortage
Constrained Optimization
Nonlinear Optimization
Period of time
Schedule
Disruption
Production-inventory system
Dependent
Costs

Keywords

  • Disruption
  • Economic production quantity
  • Production- inventory system

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Modelling and Simulation
  • Information Systems and Management

Cite this

A disruption recovery model for a single stage production-inventory system. / Hishamuddin, Hawa; Sarker, R. A.; Essam, D.

In: European Journal of Operational Research, Vol. 222, No. 3, 01.11.2012, p. 464-473.

Research output: Contribution to journalArticle

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