A lot sizing model for imperfect and deteriorating product with destructive testing and inspection errors

ABSTRACT

Nowadays, the management and control of perishable inventories is important in many units and industrial enterprises. Perishable inventory management and control is more complex and challenging than inventories with unlimited lifetime. Hence determining the optimal inventory policies for these products is very important. In this paper, the optimal inventory policy for perishable products, produced in a system that manufactures prefect and imperfect items, using a sampling plan for accepting incoming lot is developed. The test used to ensure the quality of products is destructive and there are inspection errors. After developing a model for the problem and obtaining the objective function, first a simple algorithm is proposed to calculate the optimal order quantity. Then, the proposed model is validated using numerical examples after which sensitivity analysis is performed.

KEYWORDS:

• Lot sizing
• deterioration
• acceptance sampling
• inspection error
• destructive testing
• imperfect quality

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Ebrahim Sharifi

Ebrahim Sharifi received his M.S. degree in the Iran University of Science and Technology (IUST) in 2019. in his thesis, he presented a novel approach to eliminate the limitations of Taguchi method in solving multi-objective problems. by integrating best-worst decision-making method and Taguchi design of experiment method he managed to convert a multi-objective problem into a single-objective problem and finally solve it using Taguchi method. His research interests include inventory control, MCDM, fuzzy sets, DOE, sustainable computing and sustainability in different organisations.

Javad Hasanpour

Javad Hasanpour is a faculty member of Quchan University of Advanced Technology, Quchan, Iran. He obtained M.Sc. degree in industrial engineering from The Mazandaran University of Science and Technology. He has published several research papers in international journals of repute in the areas of project scheduling, inventory control and supply chain management.

Ata Allah Taleizadeh

Ata Allah Taleizadeh received the B.Sc. degree in industrial engineering from the Islamic Azad University of Qazvin, and the M.Sc. and Ph.D. degrees from the Iran University of Science and Technology, both in industrial engineering. He is currently an Associate Professor of Industrial Engineering, at University of Tehran. He serves as an Editor/Associated Editor/Editorial Board Member for a number of international journals and has published extensively in reputable and leading journals such as European Journal of Operational Research, OMEGA; International Journal of Management Sciences, IEEE Transactions On Systems, Man, and Cybernetics: Systems, International Journal of Production Economics, Annals of Operation Researches, Service Sciences, Transportation Research: Part E, etc. His research area includes Pricing and Revenue Optimisation, Inventory Control and Supply Chain Management.