An imperfect quality items with learning and inflation under two limited storage capacity

S.R. Singh

22 citations0/0 files storedInternational Journal of Industrial Engineering Computations

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Supply Chain and Inventory Management Sustainable Supply Chain Management Optimization and Mathematical Programming

Abstract

In this paper, we develop a two-warehouse imperfect production model under two cases: (i) model starts with shortages (ii) model ends with shortages.Most of the researchers proposed the models for perfect items but we develop for imperfect quality items, which is very realistic.Demand is taken as time dependent and dependent on the production.Holding cost in rented warehouse (RW) is greater than own warehouse (OW).Deterioration is taken as Weibull distribution in both OW and RW.Shortages are allowed and partially backlogged.The effect of learning on production cost is also considered.Learning from one cycle to other cycle, improve the efficiency of the organization.A numerical example including the sensitivity analysis is given to validate the results of the production-inventory model.

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References

1986Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction 1986Economic Production Cycles with Imperfect Production Processes 2000Economic production quantity model for items with imperfect quality 2005Optimal inventory model for items with imperfect quality and shortage backordering 2002Note on: Economic production quantity model for items with imperfect quality–a practical approach 2004Economic ordering quantity models for items with imperfect quality 2006An economic order quantity model with defective items and shortages 1987A deterministic order level inventory model for deteriorating items with two storage facilities

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2016A production reliable model for deteriorating products with random demand and inflation 2016A Fuzzy Environment Inventory Model with Partial Backlogging under Learning Effect 2017Optimal Policy for Non-Instantaneous Decaying Inventory Model with Learning Effect and Partial Shortages

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