A REPLENISHMENT MODEL FOR VMI WAREHOUSE OF LED-CM PLANTS

Abstract

Purpose- The LED Chip Manufacturing (LED-CM) is an important process in the LED supply chain. Due to customer pressure or to providing better services in order to enhance competitiveness, the Vendor Managed Inventory (VMI) strategy is applied in LED-CM plant in recent years. The chips in the VMI warehouse of the customers must meet the specifications of the customer requirements. Basically, Chips of a specification of the customer requirements compose of the chips of different bins. A bin is defined by the definite electrical functions of LED chips. Deciding how many chips of each feasible bin must be allocated to a replenishment order (RO) affects the performance of VMI in  LED-CM plant.  

Methodology- A model of allocating chips from bins to ROs for LED-CM plants is proposed in this paper. Three objectives, i.e., maximizing ROs of delivery, maximizing throughput of delivery and maximizing the total left chips of the feasible bins of potential ROs, are considered in the proposed model to obtain the best result. 

Findings- The obtained ROs of delivery or throughput of delivery could serve as a valuable informance for LED-CM plants. 

Conclusion- Results show that employing the proposed methodology can facilitate LED-CM plants to implement the VMI service effectively. 

Keywords

• LED chip manufacturing,vendor managed inventory,peplenishment order,chips allocation,optimal inventory allocation models

References

1. Achabal, D.D., McIntyre, S.H., Smith, S.A. & Kalyanam, K. 2000, “A decision support system for vendor managed inventory”, Journal of Retailing, vol. 76, no. 4, pp.430–454.
2. Angulo, A., Nachtmann, H. & Waller, M.A. 2004, “Supply chain information sharing in a vendor managed inventory partnership”, Journal of Business Logistics, vol. 25, no. 1, pp. 101–120.
3. Cetinkaya, S., & C. Y. Lee. 2000, “Stock Replenishment and Shipment Scheduling for Vendor-managed Inventory Systems”, Management Science , vol. 46, no. 2, pp. 217–232.
4. Chakraborty, A., Chatterjee, A. K. & Mateen, A. 2015, “A Vendor-managed inventory scheme as a supply chain coordination mechanism”, International Journal of Production Research, vol. 53, no. 1, pp. 13–24.
5. Chang, M.H., Das, D., Varde, P.V. & Pecht, M. 2012, :Light emitting diodes reliability review”, Microelectronics Reliability, vol. 52, no. 5, pp. 762-782.
6. Chen, T.H., Chang, H.M. (2010). Optimal ordering and pricing policies for deteriorat- ing items in one-vendor multi-retailer supply chain. International Journal of Advanced Manufacturing Technology, 49 (1–4), 341–355.
7. Croxton, K.L. 2003, “The Order Fulfillment Process”, International Journal of Logistics Management. Vol. 14, no. 1, pp. 19-32.
8. De Toni, A.F. & Zamolo, E. 2005, “From a traditional replenishment system to vendor- managed inventory: a case study from the household electrical appliances sector”, International Journal of Production Economics, vol. 96, no. 1, pp. 63–79.

9. Dong, Y., Xu, K.F. & Dresner, M. 2007, “Environmental determinants of VMI adoption: an exploratory analysis”, Transportation Research Part E: Logistics Transportation Review, vol. 43m no. 4, pp. 355–369.
10. Ebadian M., Kalantari, M. & Rabbani, M. 2011, A decision support system for order acceptance/rejection in hybrid MTS/MTO production systems”, Applied Mathematical Modelling, vol. 35, no. 3, pp. 1363-1377.
11. Fowler, J., Ng, T. S., & Sun, Y. 2010, “Semiconductor lot allocation using robust optimization”, European Journal of Operational Research, vol. 205, no. 3, pp. 557-570.
12. Gao, L.L., Robinson E.P., & Sahin, F. 2008, “Master production schedule time interval strategies in make to order supply chains”, International Journal of Production Research, vol. 46, no. 7, pp. 1933-1954.
13. Hop, N. V. & Kawtummachai, R. 2005, “Order allocation in a multiple supplier environment”, International Journal of Production Economics, vol. 93-94, no. 1, pp. 231-238.
14. Hoque, M.A., 2008, “Synchronization in the single-manufacturer multi-buyer integrated inventory supply chain”, European Journal of Operational Research, vol. 188, no. 3, pp. 811-825.
15. Kang, J.H. & Kim, Y.D. 2012, “Inventory control in a two-level supply chain with risk pooling effect”, International Journal of Production Economics, vol. 135, no. 1, pp. 116–124.
16. Lan, H., Li, R., Liu, Z. & Wang, R. 2011, “Study on the inventory control of deteriorating items under VMI model based on bi-level programming”, Expert Systems with Applications, vol. 38, pp. 9287-9295.
17. Mateen, A., Chatterjee, A.K. & Mitra, S. 2015, “VMI for single-vendor multi-retailer supply chains under stochastic demand”, Computers & Industrial Engineering, vol. 79, pp. 95-102.
18. Mishra, B. K., & Raghunathan, S. 2004, “Retailer vs. Vendor-managed Inventory and Brand Competition”, Management Science, vol. 50, no. 4, pp. 445-457.
19. Monthatipkul, C. & Kawtummachai, R. 2007, “Algorithm for constructing a delivery-sequencing/inventory-allocation plan for supply chain control in the operational planning level”, International Journal of Production Research, vol. 45, no.5, pp.1119–1139.
20. Ozbayrak, M., Papadopoulou, T.C., & Samaras, E. 2006, “A flexible and adaptable planning and control system for an MTO supply chain system”, Robotics and Computer Integrated Manufacturing, vol. 22, no.5, pp. 557-559.
21. Pibernik, R. & Yadav, P. 2009, “Inventory reservation and real-time order promising in a Make-to-Stock system”, OR Spectrum, vol. 31, no. 1, pp. 281–307.
22. Rad, R.H., Razmi, J., Sangari, M.S. & Ebrahimi, Z.F. 2014, “Optimizing an integrated vendor-managed inventory system for a single-vendor two-buyer supply chain with determining weighting factor for vendor’s ordering cost”, International Journal of Production Economics, vol. 153, pp. 295-308.
23. Razmi, J., Hosseini Rad, R. & Sangari, M.S. 2010, “Developing a two-echelon mathematical model for a vendor-managed inventory (VMI) system”, International Journal of Advanced Manufacturing Technology, vol. 48, pp. 773-783.
24. Razmi, J. & Rafiei, H. 2010, “An integrated analytic network process with mixed-integer non-linear programming to supplier selection and order allocation”, International Journal of Advanced Manufacturing Technology, vol. 49, no. 12, pp. 1195–1208.
25. Ryu, K., Moon, I., Oh, S. & Jung, M. 2013, “A fractal echelon approach for inventory management in supply chain networks”, International Journal of Production Economics, vol.143, pp. 316-326.
26. Scholand, M.J. & Dillon, H.E. 2012, “Life-Cycle Assessment of Energy and Environmental Impacts of LED Lighting Products-Part 2”, LED Manufacturing and Performance, Pacific Northwest National Laboratory and the U.S. Department of Energy.
27. Shafieezadeh, M. & Sadegheih, A. 2014, “Developing an integrated inventory management model for multi-item multi-echelon supply chain”, International Journal of Advanced Manufacturing Technology, vol. 72,no. 8, pp. 1099–1119.
28. Williams, M. 2000, “Making consignment-and vendor-managed inventory work for you”, Hospital Material Management Quarterly, vol. 21 no.4, pp. 59–63.
29. Wu, H.H., Li, M.F. & Hsu, T.F. 2013, “An order fulfillment model for the LED chip manufacturing plant”, Advanced Materials Research, 694697, 3446-3452.
30. Zavanella, L. & Zanoni, S. 2009, “A one-vendor multi-buyer integrated production-inventory model: the ‘Consignment Stock’ case”, International Journal of Production Economics, vol. 118, no. 1, pp. 225–232.