DOI 10.5937/jaes17-19827
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions.
Volume 17 article 616 pages: 362 - 372
In order to gain competitive advantages, managers of present-day supply chain systems need to achieve critical operation goals, such as keeping flexible fabrication schedule, retaining product quality, maintaining timely delivery, and lowering overall operating costs. Inspired by these factors, this study developed a decision model for managers to investigate the joint impacts of quality-assured issues, overtime, and multi-shipment plan on optimal fabrication-shipment policy and on diverse system parameters of the economic production quantity (EPQ)-based supply chain system. An imperfect fabrication process producing perfect quality, repairable, and scrap items is assumed in the proposed system, along with assumptions of a flexible overtime schedule to partially expedite fabrication rate and a discontinuous multi-delivery policy for distributing end products. With a help from mathematical modeling and optimization method, the closed-form optimal fabrication-shipment policy is derived. A numerical example was employed to demonstrate applicability of our result and to expose critical managerial information of the system for supporting decision-making.
1. Bielecki, T., Kumar, P.R. (1988). Optimality of zero-inventory policies for unreliable production facility. Operations Research, 36, 532-541.
2. Groenevelt, H., Pintelon, L., Seidmann, A. (1992). Production lot sizing with machine breakdowns. Management Science, 38, 104-123.
3. Chakraborty, T., Giri, B.C., Chaudhuri, K.S. (2009), Production lot sizing with process deterioration and machine breakdown under inspection schedule. Omega, 37, 257-271.
4. Ikpambese, K.K., Gundu, D.T., Tuleun, L.T. (2016). Evaluation of palm kernel fibers (PKFs) for production of asbestos-free automotive brake pads. Journal of King Saud University – Engineering Sciences, 28(1), 110-118.
5. Rakyta, M., Fusko, M., Herčko, J., Závodská, L., Zrnić, N. (2016). Proactive approach to smart maintenance and logistics as a auxiliary and service processes in a company. Journal of Applied Engineering Science, 14(4), 433-442.
6. Chiu, Y-S.P., Lin, H-D., Tseng, C-T., Chiu, S.W. (2016). Determining cycle time for a multiproduct FPR model with rework and an improved delivery policy by alternative approach. International Journal for Engineering Modelling, 29(1-4), 27-36.
7. Vinnakoti, S., Kota, V.R. (2017). Performance analysis of unified power quality conditioner under different power quality issues using d-q based control. Journal of Engineering Research, 5(3), 91-109.
8. Chiu, S.W., Lin, H.-D., Chou, C.-L., Chiu, Y.-S.P. (2018). Mathematical modeling for exploring the effects of overtime option, rework, and discontinuous inventory issuing policy on EMQ model. International Journal of Industrial Engineering Computations, 9 (4), pp. 479-490.
9. Agnihothri, S.R., Kenett, R.S. (1995). Impact of defects on a process with rework. European Journal of Operational Research, 80(2), 308-327.
10. Grosfeld-Nir, A., Gerchak, Y. (2002). Multistage production to order with rework capability. Management Science, 48(5), 652-664.
11. Sarker, B.R., Jamal, A.M.M., Mondal, S. (2008). Optimal batch sizing in a multi-stage production system with rework consideration. European Journal of Operational Research, 184(3), 915-929.
12. Aboumasoudi, A.S, Mirzamohammadi, S., Makui, A., Tamosaitiene, J. (2016). Development of Network-Ranking Model to Create the Best Production Line Value Chain: A Case Study in Textile Industry. Economic Computation and Economic Cybernetics Studies and Research, 50(1), 215-234.
13. Kaylani, H., Almuhtady, A., Atieh, A.M. (2016). Novel approach to enhance the performance of production systems using lean tools. Jordan Journal of Mechanical and Industrial Engineering, 10(3), 215-229.
14. Chiu, S.W., Liu, C-J., Chen, Y-R., Chiu, Y-S.P. (2017). Finite production rate model with backlogging, service level constraint, rework, and random breakdown. International Journal for Engineering Modeliming, 30(1-4), 63-80.
15. Chiu, S.W., Liu, C-J, Li, Y-Y., Chou, C-L. (2017). Manufacturing lot size and product distribution problem with rework, outsourcing and discontinuous inventory distribution policy. International Journal for Engineering Modeliming, 30(1-4), 49-61.
16. Kunreuther, H. (1971). Production-planning algorithms for the inventory-overtime tradeoff. Operations Research, 19, 1717-1729.
17. Dixon, P.S., Elder, M.D., Rand, G.K., Silver, E.A. (1983). A heuristic algorithm for determining lot sizes of an item subject to regular and overtime production capacities. Journal of Operations Management, 3(3), 121-130.
18. Robinson, Jr. E.P., Sahin, F. (2001). Economic production lot sizing with periodic costs and overtime. Decision Sciences, 32(3), 423-451.
19. Merzifonluoǧlu, Y., Geunes, J., Romeijn, H.E. (2007). Integrated capacity, demand, and production planning with subcontracting and overtime options. Naval Research Logistics, 54(4), 433-447.
20. Renna, P. (2017). Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems. International Journal of Industrial Engineering Computations, 8(3), 373-384
21. Chiu, S.W., Wu, H.Y., Chiu, Y.-S.P., Hwang, M.-H. (2018). Exploration of finite production rate model with overtime and rework of nonconforming products. Journal of King Saud University - Engineering Sciences, 30(3), 224-231.
22. Gallego, G. (1993). Reduced production rates in the economic lot scheduling problem. International Journal of Production Research, 31(5), 1035-1046.
23. Cachon, G.P., Harker, P.T. (2002). Competition and outsourcing with scale economies. Management Sciences, 48(10), 1314-1333.
24. Mendelson, H., Parlaktürk, A.K. (2008). Product-line competition: Customization vs. proliferation. Management Sciences, 54(12), 2039-2053.
25. Glock, C.H. (2011). Batch sizing with controllable production rates in a multi-stage production system. International Journal of Production Research, 49(20), 6017-6039.
26. Kumar, S., Goyal, A., Singhal, A. (2017). Manufacturing flexibility and its effect on system performance. Jordan Journal of Mechanical and Industrial Engineering, 11(2), 105-112.
27. Chiu, Y.-S.P., Chen, H.-Y., Chiu, S.W., Chiu, V. (2018). Optimization of an economic production quantity-based system with random scrap and adjustable production rate. Journal of Applied Engineering Science, 16 (1), 11-18.
28. Schwarz, L.B. (1973). A simple continuous review deterministic one-warehouse N-retailer inventory problem. Management Sciences, 19, 555-566.
29. Hahm, J., Yano, C.A. (1992). The economic lot and delivery scheduling problem: The single item case. International Journal of Production Economics, 28, 235-252.
30. Sarmah, S.P., Acharya, D., Goyal, S.K. (2006). Buyer vendor coordination models in supply chain management. European Journal of Operational Research, 175(1), 1-15.
31. Çömez, N., Stecke, K.E., Çakanyildirim, M. (2012). Multiple in-cycle transshipments with positive delivery times. Production Operations and Management, 21(2), 378-395.
32. Caiazza, R., Volpe, T., Stanton, J.L. (2016). Global supply chain: The consolidators' role. Operations Research Perspectives, 3, 1-4.
33. Florea Ionescu, AI., Corboş, R-A., Popescu, R.I., Zamfir, A. (2016). From the factory floor to the shop floor – improved supply chain for sustainable competitive advantage with item-level RFID in retail. Economic Computation and Economic Cybernetics Studies and Research, 50(4), 119-134.
34. Razmi, J., Kazerooni, M.P., Sangari, M.S. (2016). Designing an integrated multi-echelon, multi-product and multi-period supply chain network with seasonal raw materials. Economic Computation and Economic Cybernetics Studies and Research, 50(1), 273-290.
35. Afshar-Nadjafi, B., Afshar-Nadjafi, A. (2017). A constructive heuristic for time-dependent multi-depot vehicle routing problem with time-windows and heterogeneous fleet. Journal of King Saud University – Engineering Sciences, 29(1), 29-34.
36. Makarova, I., Shubenkova, K., Mavrin, V., Boyko, A. (2017). Ways to increase sustainibility of the transportation system. Journal of Applied Engineering Science, 15(1), 89-98.
37. Gopinath, S.C.B., Lakshmipriya, T., Md Arshad, M.K., Voon, C.H., Adam, T., Hashim, U., Singh, H., Chinni, S.V. (2017). Shortening full-length aptamer by crawling base deletion – Assisted by Mfold web server application. Journal of the Association of Arab Universities for Basic and Applied Sciences, 23, 37-42.
38. Stažnik, A., Babić, D., Bajor, I. (2017). Identification and analysis of risks in transport chains. Journal of Applied Engineering Science, 15(1), 61-70.
39. Rardin, R.L. (1998). Optimization in Operations Research, Prentice-Hall, New Jersey, 739-741.