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Setup cost reduction EMQ inventory system with probabilistic defective and rework in multiple shipments management

Author

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  • S. Priyan

    (Mepco Schlenk Engineering College)

  • R. Uthayakumar

    (Gandhigram Rural Institute - Deemed University)

Abstract

This paper considers an economic manufacturing quantity (EMQ) model for defective products with imperfect production processes and rework, in which the setup cost is logarithmic function of capital investment. In this study, fixed quantity multiple installments of the finished batch are delivered to customers at a fixed interval of time. We also consider three types of continuous probabilistic defective function to find the associated cost. The way our basic business operations like decision making, marketing strategies, financial management, etc. are done are being reformed with the use of computers and mathematics. In view of that the mathematical modeling and computational algorithm are employed in this study for optimizing the replenishment lot-size and setup cost simultaneously with the objective of minimizing total cost of the EMQ system. The long-run average cost function is derived, its convexity is proved via differential calculus. A computer code using the software Matlab is developed to derive the optimal solution and present numerical examples to illustrate the model.

Suggested Citation

  • S. Priyan & R. Uthayakumar, 2017. "Setup cost reduction EMQ inventory system with probabilistic defective and rework in multiple shipments management," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 223-241, June.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:2:d:10.1007_s13198-016-0418-2
    DOI: 10.1007/s13198-016-0418-2
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    References listed on IDEAS

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    1. Ford W. Harris, 1990. "How Many Parts to Make at Once," Operations Research, INFORMS, vol. 38(6), pages 947-950, December.
    2. Affisco, John F. & Javad Paknejad, M. & Nasri, Farrokh, 2002. "Quality improvement and setup reduction in the joint economic lot size model," European Journal of Operational Research, Elsevier, vol. 142(3), pages 497-508, November.
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    6. Diaby, Moustapha & Cruz, Jose M. & Nsakanda, Aaron L., 2013. "Shortening cycle times in multi-product, capacitated production environments through quality level improvements and setup reduction," European Journal of Operational Research, Elsevier, vol. 228(3), pages 526-535.
    7. Glock, Christoph H. & Grosse, Eric H. & Ries, Jörg M., 2014. "The lot sizing problem: A tertiary study," International Journal of Production Economics, Elsevier, vol. 155(C), pages 39-51.
    8. Glock, C. H. & Grosse, E. H. & Ries, J. M., 2014. "The Lot Sizing Problem: A Tertiary Study," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63361, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Taleizadeh, Ata Allah & Pentico, David W. & Saeed Jabalameli, Mohammad & Aryanezhad, Mirbahador, 2013. "An EOQ model with partial delayed payment and partial backordering," Omega, Elsevier, vol. 41(2), pages 354-368.
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    Cited by:

    1. Dipak Barman & Gour Chandra Mahata, 2022. "Two-echelon production inventory model with imperfect quality items with ordering cost reduction depending on controllable lead time," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2656-2671, October.

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