A production inventory model with disruption and reliability considerations

Paul, S, Sarker, R and Essam, D 2013, 'A production inventory model with disruption and reliability considerations', in Proceedings to the 43rd International Conference on Computers and Industrial Engineering 2013, Hong Kong, China, 16-18 October 2013, pp. 291-304.


Document type: Conference Paper
Collection: Conference Papers

Title A production inventory model with disruption and reliability considerations
Author(s) Paul, S
Sarker, R
Essam, D
Year 2013
Conference name CIE43
Conference location Hong Kong, China
Conference dates 16-18 October 2013
Proceedings title Proceedings to the 43rd International Conference on Computers and Industrial Engineering 2013
Publisher Curran Associates
Place of publication China
Start page 291
End page 304
Total pages 14
Abstract In this paper, a single stage batch production-inventory system is introduced. For it, the production can face either a sudden or multiple disruptions, for a certain period of time. The model also considers production process reliability because production environment are often imperfect. The problem is formulated as a non-linear constrained optimization problem that considers production capacity, demand, delivery and transportation constraints while attempting to maximize the total profit in the disruption recovery window. The model is also applied to solve production systems with single or multiple disruptions. The production quantity in each cycle in the recovery window is revised after every disruption, for as long as disruptions take place in the system, while considering the effect of all dependent disruptions. The model is solved by using both a pattern search and a genetic algorithm based solution approach. The results are also compared. Both a numerical example and a sensitivity analysis are presented to explain the model. A production inventory model with disruption and reliability considerations
Subjects Operations Research
Logistics and Supply Chain Management
Optimisation
Keyword(s) Disruption recovery
Genetic algorithm
Pattern search
Process reliability
Production inventory
DOI - identifier 10.13140/2.1.1355.6160
ISBN 9781629934372
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