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Growing Science » Uncertain Supply Chain Management » Economic production quantity model for defective items under deterioration

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Uncertain Supply Chain Management
ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 4 Issue 3 pp. 221-232, 2016

Economic production quantity model for defective items under deterioration Pages 221-232 PDF Download PDF

Authors: H. S. Shukla, R. P. Tripathi, Neha Sang

📋 Author Affiliations:
H.S. Shukla ORCID 1, R.P. Tripathi2, N. Sang ORCID 1
1 Department of Mathematics and Statistics, DDU Gorakhpur University (UP), India
2 Department of Mathematics, Graphic Era University, Dehradun, UK, India, UK
doi 10.5267/j.uscm.2016.1.002
Crossref 4 Source: CrossRef

🔑 Keywords: Defective items, Deterioration, Optimality, Order quantity, Production inventory

Abstract: Traditional economic production quantity (EPQ) model assumes that the production products are perfect. However, this assumption does not hold for many real production systems due to several weaknesses. This paper considers production inventory model with defective items for deteriorating items. In this paper, production rate is considered to be greater than demand rate. Mathematical model is developed for finding optimal order quantity, cycle time and total profit. Moreover, a numerical example is provided to illustrate the proposed model. Next, sensitivity analysis is established to demonstrate the model developed. Finally, some conclusions and future research directions are proposed.

How to cite this paper
APA: Shukla, H., Tripathi, R & Sang, N. (2016). Economic production quantity model for defective items under deterioration. Uncertain Supply Chain Management, 4(3), 221-232.
Chicago/Turabian: Shukla, H., Tripathi, R & Sang, N. 2016. "Economic production quantity model for defective items under deterioration." Uncertain Supply Chain Management 4, no. 3 (2016): 221-232.
AMA: Shukla, H., Tripathi, R & Sang, N. Economic production quantity model for defective items under deterioration. Uncertain Supply Chain Management. 2016;4(3):221-232.

References
Ben-Daya, M. (2002). The economic production lot-sizing problem with imperfect production processes and imperfect maintenance. International Journal of Production Economics, 76(3), 257-264.

C?rdenas-Barr?n, L. E. (2008). Optimal manufacturing batch size with rework in a single-stage production system–a simple derivation. Computers & Industrial Engineering, 55(4), 758-765.

Chang, H. C., & Ho, C. H. (2010). Exact closed-form solutions for “optimal inventory model for items with imperfect quality and shortage backordering. Omega, 38(3), 233-237.

Chen, S. C., & Teng, J. T. (2015). Inventory and credit decisions for time-varying deteriorating items with up-stream and down-stream trade credit financing by discounted cash flow analysis. European Journal of Operational Research, 243(2), 566-575.

Cheng, T. C. E. (1991). An economic order quantity model with demand-dependent unit production cost and imperfect production processes. IIE transactions, 23(1), 23-28.

Covert, R. P., & Philip, G. C. (1973). An EOQ model for items with Weibull distribution deterioration. AIIE Transactions, 5(4), 323-326.

Das, B. C., Das, B., & Mondal, S. K. (2015). An integrated production inventory model under interactive fuzzy credit period for deteriorating item with several markets. Applied Soft Computing, 28, 453-465.

Ghare, P. M., & Schrader, G. F. (1963). A model for exponentially decaying inventory. Journal of Industrial Engineering, 14(5), 238-243.

Ghiami, Y., & Williams, T. (2015). A two-echelon production-inventory model for deteriorating items with multiple buyers. International Journal of Production Economics, 159, 233-240.

Hariga, M. (1996). Optimal EOQ models for deteriorating items with time-varying demand. Journal of the Operational Research Society, 47(10), 1228-1246.

Harris, F. W. (1913). How many parts to make at once. The magazine of Management, 10(2), 135-136.

Hsu, J., & Hsu, L. (2014). A supplement to an EOQ model with imperfect quality items, inspection errors, shortage backordering, and sales return. International Journal of Industrial Engineering Computations, 5(2), 199-210.

Jalan, A. K., & Chaudhuri, K. S. (1999). Structural properties of an inventory system with deterioration and trended demand. International Journal of Systems Science, 30(6), 627-633.

Lee, S., & Kim, D. (2014). An optimal policy for a single-vendor single-buyer integrated production–distribution model with both deteriorating and defective items. International Journal of Production
Economics, 147, 161-170.

Li, R., Lan, H., & Mawhinney, J. R. (2010). A review on deteriorating inventory study. Journal of Service Science and Management, 3(01), 117- 129.

Lin, C. S., Chen, C. H., & Kroll, D. E. (2003). Integrated production-inventory models for imperfect production processes under inspection schedules & .Computers & Industrial Engineering, 44(4), 633-650.

Lin, C., & Lin, Y. (2007). A cooperative inventory policy with deteriorating items for a two-echelon model. European Journal of Operational Research,178(1), 92-111.

Manna, S. K., & Chaudhuri, K. S. (2006). An EOQ model with ramp type demand rate, time dependent deterioration rate, unit production cost and shortages. European Journal of Operational Research, 171(2), 557-566.

Ouyang, L. Y., & Chang, C. T. (2013). Optimal production lot with imperfect production process under permissible delay in payments and complete backlogging. International Journal of Production Economics, 144(2), 610-617.

Perumal, V., & Arivarignan, G. (2002). A production inventory model with two rates of production and backorders. International Journal of Management and Systems, 18, 109-119.

Porteus, E. L. (1986). Optimal lot sizing, process quality improvement and setup cost reduction. Operations research, 34(1), 137-144.

Rabbani, M., Zia, N., & Rafiei, H. (2014). Optimal dynamic pricing and replenishment policies for deteriorating items. International Journal of Industrial Engineering Computations, 5(4), 621-630.

Rosenblatt, M.J. and Lee, H.L. (1986). Economic production cycles with imperfect production processes. IIE Transaction, 18, 48- 55.

Saiedy, H., & Moghadam, M. B. (2011). Inventory Model with Composed Shortage and permissible delay in payment linked to order quantity. J. Ind. Engg. Int, 7(15), 1-7.

Samanta, G. P., & Roy, A. (2004). A deterministic inventory model of deteriorating items with two rates of production and shortages. Tamsui Oxford Journal of Mathematical Sciences, 20(2), 205-218.

Sana, S. S., & Chaudhuri, K. S. (2008). A deterministic EOQ model with delays in payments and price-discount offers. European Journal of Operational Research, 184(2), 509-533.

Sana, S. S., Goyal, S. K., & Chaudhuri, K. (2007). An imperfect production process in a volume flexible inventory model. International Journal of Production Economics, 105(2), 548-559.

Sana, S. S. (2010). A production–inventory model in an imperfect production process. European Journal of Operational Research, 200(2), 451-464.

Singh, S., & Prasher, L. (2014). A production inventory model with flexible manufacturing, random machine breakdown and stochastic repair time. International Journal of Industrial Engineering Computations, 5(4), 575-588.

Taft, E. W. (1918). The most economical production lot. Iron Age, 101(18), 1410-1412.

Taleizadeh, A. A., & Pentico, D. W. (2014). An economic order quantity model with partial backordering and all-units discount. International Journal of Production Economics, 155, 172-184.

Taleizadeh, A. A., Noori-daryan, M., & C?rdenas-Barr?n, L. E. (2015). Joint optimization of price, replenishment frequency, replenishment cycle and production rate in vendor managed inventory system with deteriorating items.International Journal of Production Economics, 159, 285-295.

Teng, J. T., & Chang, C. T. (2009). Optimal manufacturer’s replenishment policies in the EPQ model under two levels of trade credit policy. European Journal of Operational Research, 195(2), 358-363.

Tripathi, R.P. (2013). Inventory model with different demand rate and different holding cost. International Journal of Industrial Engineering Computations,4(3), 437-446.

Tripathi, R. P. (2014). Inventory model for deteriorating items with four level system and sShortages. International Journal of Supply and Operations Management, 1(2), 216-227.

Tripathi, R., & Kumar, M. (2014). A new model for deteriorating items with inflation under permissible delay in payments. International Journal of Industrial Engineering Computations, 5(3), 365-374.

Wu, B., & Sarker, B. R. (2013). Optimal manufacturing and delivery schedules in a supply chain system of deteriorating items. International Journal of Production Research, 51(3), 798-812.

Wu, J., & Chan, Y. L. (2014). Lot-sizing policies for deteriorating items with expiration dates and partial trade credit to credit-risk customers. International Journal of Production Economics, 155, 292-301.

Yoo, S. H., Kim, D., & Park, M. S. (2009). Economic production quantity model with imperfect-quality items, two-way imperfect inspection and sales return. International Journal of Production Economics, 121(1), 255-265.

Yu, J. C., Lin, Y. S., & Wang, K. J. (2013). Coordination-based inventory management for deteriorating items in a two-echelon supply chain with profit sharing. International Journal of Systems Science, 44(9), 1587-1601.

Zhang, X., & Gerchak, Y. (1990). Joint lot sizing and inspection policy in an EOQ model with random yield. IIE Transactions, 22(1), 41-47.
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📚 Journal: Uncertain Supply Chain Management | 📅 Year: 2016 | 📖 Volume: 4 | 📄 Issue: 3 | 👁️ Views: 3437 | 📊 Crossref: 4

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