An Algorithm for Production Planning Based on Supply Chain KPIs
Keywords:production planning, stock cover, customer service level, heuristic algorithm
This paper observe multi-period multi-product production planning problemÂ in make-to-stock production environment with limited production capacity. SuchÂ problem is identified in Fast Moving Consumer Goods industry. The goal was to developÂ an algorithm for supporting dynamic production triggering decisions in relationÂ with two supply chain key performance indicators: stock cover and customer serviceÂ level. The presented approach is applied to a real example in several scenarios basedÂ on different decision criteria.
BabarogiÄ‡, S.; MakajiÄ‡-NikoliÄ‡, D.; LeÄiÄ‡-CvetkoviÄ‡, D.; Atanasov N. (2012); Multi-period Customer Service Level Maximization under Limited Production Capacity, International Journal of Computers Communications & Control, ISSN 1841-9836, 7(5): 798-806.
Dellaert N.P., Jeunet J. (2003); Demand forecast accuracy and performance of inventory policies under multi-level rolling schedule environments, Research at International Institute of Infonomics, Heerlen, The Netherlands.
Fernandez, R.; Gouveia, J. B.; Pinho, C. (2010); Overstock - A Real Option Approach, Journal of Operations and Supply Chain Management, ISSN 1984-3046, 3(1): 98-107.
Galbraith, J. R. (1973); Designing Complex Organizations, Reading, MA: Addison-Wesley.
Ho, C. (1989); Evaluating the Impact of Operating Environments on MRP System Nervousness, Int J Prod Res, ISSN 0020-7543, 27(7): 1115-1135.
Jeffery M.M., Butler J.R., Malone C.L. (2008); Determining a cost-effective customer service level, Supply Chain Management: An International Journal, 13: 225-232.
Determining a cost-effective customer service level, Supply Chain Management: An International Journal, 13: 225-232.
Lane, R.; Szwejczewski, M. (2000); The Relative Importance of Planning and Control Systems in Achieving Good Delivery Performance, Prod Plan Control, ISSN 0953-7287, 11(5): 422- 433.
LeÄiÄ‡-CvetkoviÄ‡, D.; Atanasov, N.; BabarogiÄ‡, S. (2010); An Algorithm for Customer Order Fulfillment in a Make-to-Stock Manufacturing System, International Journal of Computers Communications & Control, ISSN 1841-9836, 5(5): 983-791.
Lin, J.; Chen, J.H. (2005); Enhance Order Promising with ATP Allocation Planning Considering Material and Capacity Constraints, Journal of the Chinese Institute of Industrial Engineers, ISSN 1017-0669, 22(4): 282-292.
MakajiÄ‡-NikoliÄ‡, D.; LeÄiÄ‡-CvetkoviÄ‡; Atanasov, N.; BabarogiÄ‡, S. (2013); An Approach to Production Planning for Supply Chain Performance Improvements, Proceedings of XI Balkan Conference on Operational Research, ISBN 978-86-7680-285-2, 357-366.
Meyr, H. (2009); Customer Segmentation, Allocation Planning and Order Promising in Make-to-Stock Production, OR Spectrum, ISSN 0171-6468, 31(1): 229-256.
Okulewicz, J. (2009); Verification of a Service Level Estimation Method, Total Logistics Management, ISSN 1689-5959, 2: 67-78.
Shen Z-Y.M., Daskin M. (2005); Trade-offs Between Customer Service and Cost in Integrated Supply Chain Design, Manufacturing and Service Operations Management, 7(3): 188-207. http://dx.doi.org/10.1287/msom.1050.0083
Wadhwa S., Kanda A., Bhoon K.S. (2006); Bibhushan Impact of Supply Chain Collaboration on Customer Service Level and Working Capital, Global Journal of Flexible Systems Management, 7(1-2): 27-35.
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