EPQ model with inspection of batches and disposal of defective items
Subject Areas : Inventory ManagementEveline Zidan 1 , Ludmylla Moreira 2 , Fabíola Oliveira 3 , Adriana Leiras 4
1 - Industrial Engineering Department, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil.
2 - Industrial Engineering Department, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil.
3 - Industrial Engineering Department, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil.
4 - Industrial Engineering Department, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
Keywords: EPQ, Inspection, Disposal, Imperfect Quality, Backorder,
Abstract :
Manufacturing processes can produce imperfect items, and inventory disruptions may occur in the process, causing shortages. We propose a model to explore these real-life scenarios. This paper offers a production inventory model considering the concept of inspection of the produced batches and disposal of defective items in an Economic Production Quantity (EPQ) model with partial backorders and discount on batches that are imperfect but not defective. Furthermore, the proposed model considers the holding cost of these imperfect items while they are not sold. An algorithm for finding the optimal solution is presented, and a numerical example is provided to perform a sensitivity analysis. We conclude that the setup cost followed by the holding cost are the costs that have the most significant impact on the total cost. Although the inspection cost has been added to the model, this cost has little effect on the total cost and does not increase it significantly.
Production Economics, 155, 16-38.
[9] Kangi, F., Javanmard, S., & Pasandideh, S. H. R. (2017). Economic production quantity model with imperfect products and random order frequency under due date and limited storage capacity. Journal of Industrial and Production Engineering, 34(5), 344-361.
[10] Chiu, S. W., Wang, S. L., & Chiu, Y. S. P. (2007). Determining the optimal run time for EPQ model with scrap, rework, and stochastic breakdowns. European Journal of Operational Research, 180(2), 664-676.
[11] Li, J., Wang, S., & Cheng, T. E. (2008). Analysis of postponement strategy by EPQ-based models with planned backorders. Omega, 36(5), 777-788.
[12] Zhang, R. Q. (2009). A note on the deterministic EPQ with partial backordering. Omega, 37(5), 1036-1038.
[13] Sarkar, B., & Moon, I. (2011). An EPQ model with inflation in an imperfect production system. Applied Mathematics and Computation, 217(13), 6159-6167.
[14] Chiu, S. W., Chou, C. L., & Wu, W. K. (2013). Optimizing replenishment policy in an EPQ-based inventory model with nonconforming items and breakdown. Economic Modelling, 35, 330-337.
[15] 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.
[16] Nobil, A. H., Sedigh, A. H. A., & Cárdenas-Barrón, L. E. (2016). A multi-machine multi-product EPQ problem for an imperfect manufacturing system considering utilization and allocation decisions. Expert Systems with Applications, 56, 310-319.
[17] Mokhtari, H., Naimi-Sadigh, A., & Salmasnia, A. (2017). A computational approach to economic production quantity model for perishable products with backordering shortage and stock-dependent demand. Scientia Iranica, 24(4), 2138-2151.
[18] Manna, A. K., Das, B., Dey, J. K., & Mondal, S. K. (2018). An EPQ model with promotional demand in random planning horizon: population varying genetic algorithm approach. Journal of Intelligent Manufacturing, 29(7), 1515-1531.
[19] Chang, C. T., Ouyang, L. Y., Teng, J. T., Lai, K. K., & Cárdenas- Barrón, L. E. (2019). Manufacturer's pricing and lot-sizing decisions for perishable goods under various payment terms by a discounted cash flow analysis. International Journal of Production Economics, 218,
83-95.
[20] Gharaei, A., Hoseini Shekarabi, S. A., & Karimi, M. (2020). Modelling and optimal lot-sizing of the replenishments in constrained, multi- product and bi-objective EPQ models with defective products: Generalised cross decomposition. International Journal of Systems Science: Operations & Logistics, 7(3), 262-274.
[21] Salas-Navarro, K., Acevedo-Chedid, J., Árquez, G. M., Florez, W. F., Ospina-Mateus, H., Sana, S. S., & Cárdenas-Barrón, L. E. (2019). An EPQ inventory model considering an imperfect production system with probabilistic demand and collaborative approach. Journal of Advances in Management Research.
[22] Condeixa, L. D., Silva, P., Moah, D., Farias, B., & Leiras, A. (2020). Evaluating cost impacts on reverse logistics using an Economic Order Quantity (EOQ) model with environmental and social considerations. Central European Journal of Operations Research, 1-20.
[23] Londe, M. A., Martinez, G. C., & Leiras, A. (2020, July). Economic Production Quantity for Products with Deterioration and Shortage Under Advanced-Cash-Credit Payment Scheme. In International Joint conference on Industrial Engineering and Operations Management (pp. 585-597). Springer, Cham.
[25] Cunha, L. R. A., Delfino, A. P. S., dos Reis, K. A., & Leiras, A. (2018). Economic production quantity (EPQ) model with partial backordering and a discount for imperfect quality batches. International Journal of Production Research, 56(18), 6279-6293.
[26] Khan, M., Ahmad, A. R., & Hussain, M. (2019). Integrated decision models for a vendor–buyer supply chain with inspection errors and purchase and repair options. The International Journal of Advanced Manufacturing Technology, 104(9), 3221-3228.
[27] Tsai, W. C., Shih, N. H., & Wang, C. H. (2018). The effects of inspection delay and restoration cost on the optimal inspection and production policy. Opsearch, 55(1), 187-195.
[28] Keshavarzfard, R., Makui, A., Tavakkoli-Moghaddam, R., & Taleizadeh, A. A. (2019). Optimization of imperfect economic manufacturing models with a power demand rate dependent production rate. Sādhanā, 44(9), 1-19.
[29] Rout, C., Kumar, R. S., Chakraborty, D., & Goswami, A. (2019). An EPQ model for deteriorating items with imperfect production, inspection errors, rework and shortages: a type-2 fuzzy approach. Opsearch, 56(3), 657-688.
[30] Salameh, M. K., & Jaber, M. Y. (2000). Economic production quantity model for items with imperfect quality. International journal of production economics, 64(1-3), 59-64.
[31] Montgomery, D. C., Bazaraa, M. S., & Keswani, A. K. (1973). Inventory models with a mixture of backorders and lost sales. Naval Research Logistics Quarterly, 20(2), 255-263.
[32] Zipkin P.H (2000). Foundations of Inventory Management. New York: McGrawHill.
[34] Pentico, D. W., Drake, M. J., & Toews, C. (2009). The deterministic EPQ with partial backordering: a new approach. Omega, 37(3), 624-636.
[35] Hsieh, T. P., & Dye, C. Y. (2012). A note on “The EPQ with partial backordering and phase-dependent backordering rate”. Omega, 40(1), 131-133.
[36] Taleizadeh, A. A., Pentico, D. W., Aryanezhad, M., & Ghoreyshi, S. M. (2012). An economic order quantity model with partial backordering and a special sale price. European Journal of Operational Research, 221(3), 571-583.
[37] Karimi-Nasab, M., & Wee, H. M. (2015). An inventory model with truncated exponential replenishment intervals and special sale offer. Journal of Manufacturing Systems, 35, 246-250.
[38] Salehi, H., Taleizadeh, A. A., & Tavakkoli-Moghaddam, R. (2016). An EOQ model with random disruption and partial backordering. International Journal of Production Research, 54(9), 2600-2609.
[40] Chiu, S. W. (2010). Robust planning in optimization for production system subject to random machine breakdown and failure in rework. Computers & Operations Research, 37(5), 899-908.
[41] Al-Salamah, M. (2016). Economic production quantity in batch manufacturing with imperfect quality, imperfect inspection, and destructive and non-destructive acceptance sampling in a two-tier market. Computers & Industrial Engineering, 93, 275-285.
[42] Taleizadeh, A. A., Niaki, S. T. A., & Najafi, A. A. (2010). Multiproduct single-machine production system with stochastic scrapped production rate, partial backordering and service level constraint. Journal of Computational and Applied Mathematics, 233(8), 1834-1849.
[43] Sarker, B.R., Jamal, A.M.M., & Mondal, S. (2008). Optimal batch sizing in a process at multi-stage production system with network consideration. European Journal of Operational research, 184, 915-929.
[44] Chung, K. J., Her, C. C., & Lin, S. D. (2009). A two-warehouse inventory model with imperfect quality production processes. Computers & Industrial Engineering, 56(1), 193-197.
[45] Hu, J. S., Zheng, H., Guo, C. Y., & Ji, Y. P. (2010). Optimal production run length with imperfect production processes and backorder in fuzzy random environment. Computers & Industrial Engineering, 59(1), 9-15.
[46] Khan, M., Jaber, M. Y., Guiffrida, A. L., & Zolfaghari, S. (2011). A review of the extensions of a modified EOQ model for imperfect quality items. International Journal of Production Economics, 132(1),1-12.
[47] Sadjadi, S. J., Yazdian, S. A., & Shahanaghi, K. (2012). Optimal pricing, lot-sizing and marketing planning in a capacitated and imperfect production system. Computers & Industrial
Engineering, 62(1), 349-358.
[48] Cárdenas-Barrón, L. E., Taleizadeh, A. A., & Treviño-Garza, G. (2012). An improved solution to replenishment lot size problem with discontinuous issuing policy and rework, and the multi- delivery policy into economic production lot size problem with partial rework. Expert Systems with Applications, 39(18), 13540-13546.
[49] Wee, H. M., Wang, W. T., & Cárdenas-Barrón, L. E. (2013). An alternative analysis and solution procedure for the EPQ model with rework process at a single-stage manufacturing system with planned backorders. Computers & Industrial Engineering, 64(2), 748-755.
[50] Khan, M., Jaber, M. Y., & Ahmad, A. R. (2014). An integrated supply chain model with errors in quality inspection and learning in production. Omega, 42(1), 16-24.
[51] Khanna, A., Kishore, A., & Jaggi, C. (2017). Strategic production modeling for defective items with imperfect inspection process, rework, and sales return under two-level trade credit. International Journal of Industrial Engineering Computations, 8(1), 85-118.
[52] Al-Salamah, M. (2019). Economic production quantity in an imperfect manufacturing process with synchronous and asynchronous flexible rework rates. Operations research perspectives, 6, 100103.
[53] Lee, H. L., & Rosenblatt, M. J. (1985). Optimal inspection and ordering policies for products with imperfect quality. IIE transactions, 17(3), 284-289.
[54] Porteus, E. L. (1986). Optimal lot sizing, process quality improvement and setup cost reduction. Operations research, 34(1), 137-144.
[55] Chan, W. M., Ibrahim, R. N., & Lochert, P. B. (2003). A new EPQ model: integrating lower pricing, rework and reject situations. Production Planning & Control, 14(7), 588-595.
[56] Chiu, Y. P. (2003). Determining the optimal lot size for the finite production model with random defective rate, the rework process, and backlogging. Engineering optimization, 35(4), 427-437.
[57] Tsou, J. C., Hejazi, S. R., & Barzoki, M. R. (2012). Economic production quantity model for items with continuous quality characteristic, rework and reject. International Journal of Systems
Science, 43(12), 2261-2267.
[58] Jaggi, C. K., Khanna, A., & Kishore, A. (2016, March). Production inventory policies for efective items with inspection errors, sales return, imperfect rework process and backorders. In AIP Conference Proceedings (Vol. 1715, No. 1, p. 020062). AIP Publishing LLC.
[59] Selvaraju, P., & Ghuru, S. K. (2018). Imperfect production system with rework and scrap at a single stage manufacturing system and integrates cost reduction delivery policy. International Journal of Operational Research, 32(4), 472-494.
[60] Nobil, A. H., Afshar Sedigh, A. H., & Afshar-Nadjafi, B. (2020). Lot- sizing problem for a defective processing system with categorized items, backordering and pricing policy. Journal of Revenue and Pricing Management, 19(4), 255-265.
Economics, 121(1), 255-265.
[62] Wee, H. M., & Widyadana, G. A. (2013). A production model for deteriorating items with stochastic preventive maintenance time and rework process with FIFO rule. Omega, 41(6), 941-954.
[63] Zhou, Y. W., Chen, J., Wu, Y., & Zhou, W. (2015). EPQ models for items with imperfect quality and one-time-only discount. Applied Mathematical Modelling, 39(3-4), 1000-1018.
[64] Paknejad, J., Nasri, F., & Affisco, J. F. (2005). Quality improvement in an inventory model with finite-range stochastic lead times. Journal of Applied Mathematics and Decision Sciences, 2005(3), 177-189.
[65] Miranda, S., Vilela, J., & Leiras, A. (2020, July). Economic Production Quantity Model Considering Items with Distinct Levels of Imperfection. In International Joint conference on Industrial Engineering and Operations Management (pp. 537-547). Springer, Cham.
[66] Roy, M. D., Sana, S. S., & Chaudhuri, K. (2011). An economic order quantity model of imperfect quality items with partial backlogging. International journal of systems Science, 42(8), 1409-1419.
[67] Yu, J. C., Wee, H. M., & Chen, J. M. (2005). Optimal ordering policy for a deteriorating item with imperfect quality and partial backordering. Journal of the Chinese institute of industrial engineers, 22(6), 509-520.
[68] Hayek, P. A., & Salameh, M. K. (2001). Production lot sizing with the reworking of imperfect quality items produced. Production planning & control, 12(6), 584-590.
[69] Sarkar, B., Cárdenas-Barrón, L. E., Sarkar, M., & Singgih, M. L. (2014). An economic production quantity model with random defective rate, rework process and backorders for a single stage production system. Journal of Manufacturing Systems, 33(3), 423-435.
[70] Eroglu, A., & Ozdemir, G. (2007). An economic order quantity model with defective items and shortages. International journal of production economics, 106(2), 544-549.
[71] Jamal, A. M. M., Sarker, B. R., & Mondal, S. (2004). Optimal manufacturing batch size with rework process at a single-stage production system. Computers & industrial engineering, 47(1), 77-89.
[72] Taleizadeh, A. A., Sadjadi, S. J., & Niaki, S. T. A. (2011). Multiproduct EPQ model with single machine, backordering and immediate rework process. European Journal of Industrial Engineering, 5(4), 388-411.
[73] Hsu, J. T., & Hsu, L. F. (2013). Two EPQ models with imperfect production processes, inspection errors, planned backorders, and sales returns. Computers & Industrial Engineering, 64(1), 389-402.
[74] Taleizadeh, A. A., Cárdenas-Barrón, L. E., & Mohammadi, B. (2014). A deterministic multi product single machine EPQ model with backordering, scraped products, rework and interruption in manufacturing process. International Journal of Production Economics, 150, 9-27.
[75] Cheng, Y. L., Wang, W. T., & Wei, C. C. (2018). Optimal production lot sizing when demand is proportional to stock and backorder levels. International Journal of Industrial Engineering, 25(2).
[76] Najafi, M., Ghodratnama, A., & Pasandideh, H. R. (2018). Solving a deterministic multi product single machine EPQ model withpartial backordering, scrapped products and rework. International Journal of Supply and Operations Management, 5(1), 11-27.
[77] Taleizadeh, A. A., Yadegari, M., & Sana, S. S. (2019). Production models of multiple products using a single machine under quality screening and reworking policies. Journal of Modelling in
Management, 14(1): 232-259.
[78] Lai, X., Chen, Z., & Bidanda, B. (2019). Optimal decision of an economic production quantity model for imperfect manufacturing under hybrid maintenance policy with shortages and partial
backlogging. International Journal of Production Research, 57(19),6061-6085.
[79] Khalilpourazari, S., Mirzazadeh, A., Weber, G. W., & Pasandideh, S. H. R. (2019). A robust fuzzy approach for constrained multi-product economic production quantity with imperfect items and rework process. Optimization.
[80] Nobil, A. H., Afshar Sedigh, A. H., Tiwari, S., & Wee, H. M. (2019). An imperfect multi-item single machine production system with shortage, rework, and scrapped considering inspection, dissimilar deficiency levels, and non-zero setup times. Scientia Iranica, 26(1), 557-570.
[81] Silva, M. A., de Paula, I., & Leiras, A. (2020, July). EPQ Model with Partial Backordering Considering Environmental Aspects and Stochastic Demand. In International Joint conference on Industrial Engineering and Operations Management (pp. 115-126). Springer, Cham.
[82] Taleizadeh, A. A. (2017). Lot‐sizing model with advance payment pricing and disruption in supply under planned partial backordering. International Transactions in Operational Research, 24(4), 783-800.
[83] Pentico, D. W., Toews, C., & Drake, M. J. (2015). Approximating the EOQ with partial backordering at an exponential or rational rate by a constant or linearly changing rate. International Journal of Production Economics, 162, 151-159.
[84] Leiras, A., Ribas, G., Hamacher, S., & Elkamel, A. (2013). Tactical and operational planning of multirefinery networks under uncertainty: an iterative integration approach. Industrial & Engineering Chemistry Research, 52(25), 8507-8517.
[85] Ribas, G. P., Leiras, A., & Hamacher, S. (2012). Operational planning of oil refineries under uncertainty Special issue: applied stochastic optimization. IMA Journal of Management Mathematics, 23(4), 397-412.