A Novel Model for Simultaneously Minimising Costs and Risks in Just-in-Time Systems Using Multi-Backup Suppliers: Part 1- Modelling
Authors: Faraj El Dabee, Romeo Marian, Yousef Amer
Abstract:
Just-In-Time (JIT) is a lean manufacturing tool, which provides the benefits of efficiency, and of minimizing unnecessary costs for many organisations. However, the risks arising from these benefits have been disregarded. These risks impact on system processes disrupting the whole supply chain. This paper proposes an inventory model that can simultaneously reduce costs and risks in JIT systems. This model is developed to ascertain an optimal ordering strategy for procuring raw materials by using regular multi-external and local backup suppliers to reduce the total cost of the products, and at the same time to reduce the risks arising from this cost reduction within production systems. Some results that will be illustrated in the second part of this paper are presented.
Keywords: Lean manufacturing, Just-in-Time (JIT), production system, cost-risk reduction, inventory model, eternal supplier, local backup supplier.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1091528
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[1] R. A.Hokoma, M. KKhan and K. Hussain,"Investigation into the Implementation Stages of Manufacturing and Quality Techniques and Philosophies within the Libyan Cement Industry,”Journal of Manufacturing Technology Management, vol. 19, no. 7, pp. 893-907,2008.
[2] A.Badurdeen, "What is Lean Manufacturing?,” 2006,
[Online], Available:http://www.learnleanblog.com/2006/12/what-is-lean-manufacturing.html
[Accessed 07.11.2011].
[3] F.Abdullah, "Lean Manufacturing Tools and Techniques in the Process Industry with a Focus on Steel,” PhD thesis, University of Pittsburgh, 2003.
[4] Y.Monden, "Japanese Cost Management,” World Scientific, 2000.
[5] T. C. E. Chengand S.Podolsky, "Just-in-time manufacturing: an introduction,” New York, Chapman & Hall, 1996.
[6] R. A.Hokoma, M. K.Khan and K.Hussain, "The Present Status of Quality and Manufacturing Management Techniques and Philosophies within the Libyan Iron and Steel Industry,”TQM Journal, vol. 22, no. 2, pp. 209-221, 2010.
[7] Z. X. Chen andB. R. Sarker, "Multi-vendor integrated procurement-production system under shared transportation and just-in-time delivery system,”The Journal of the Operational Research Society, vol. 61, pp. 1654-1666, 2010.
[8] Y.Li, K. F.Man, K. S.Tang, S. Kwong and W. H.Ip, "Genetic algorithm to production planning and scheduling problems for manufacturing systems,” Production Planning & Control, vol. 11, no. 5, pp. 443-458 , 2000.
[9] T.Tourki, "Implementation of Lean within the Cement Industry,” PhD thesis, De Montfort University, 2010.
[10] L.Eldenburg, "Cost Management: Measuring Monitoring and Motivating Performance,” John Wiley & Sons, 2007.
[11] J. S. Yang and J. C. H.Pan, "Just-in-Time Purchasing: an Integrated Inventory Model Involving Deterministic Variable Lead Time and Quality Improvement Investment,” International Journal of Production Research, vol. 42, no. 5, pp. 853-863, 2004.
[12] A.Chae and H.Fromm, Supply Chain Management on Demand. Springer, 2005.
[13] B.Fahimnia, L.Luongand R.Marian, "An integrated model for the optimisation of a two-echelon supply network,” Journal of Achievements in Materials and Manufacturing Engineering, vol. 31, pp. 477-484, 2008.
[14] R. A.Sarker and L. R.Khan, "An Optimal Batch Size for a Production System Operating under Periodic Delivery Policy,”Computers & Industrial Engineering, vol. 37, pp. 711-730, 1999.
[15] N.Julka, R.Srinivasan and I.Karimi, "Agent-Based Supply Chain Management—1: Framework,” Computers and Chemical Engineering, vol. 26, pp. 1755-1769, 2002.
[16] M. C.Carneiro, G. P.Ribas and S.Hamacher, "Risk Management in the Oil Supply Chain: A CVaR Approach,” Industrial & Engineering Chemistry Research, vol. 49, no. 7, pp. 3286-3294, 2010.
[17] B. Tomlin, "Disruption-Management Strategies for Short Life-Cycle Products,” Naval Research Logistics, vol. 56, pp. 318-347, 2009.
[18] D.Simchi-Levi, L. Snyder and M. Watson, "Strategies for Uncertain Times. Supply chain Management Review,” 2002,
[Online]. Available: http://www.lehigh.edu/~lvs2/Papers/SCMR.pdf
[Accessed 06 November 2012].
[19] X. K. Dimakos and K.Aas, "Integrated Risk Modelling,” Statistical Modelling, vol. 4, pp. 265-277, 2004.
[20] G. V.-H.Jose, "Modelling Risk and Innovation Management,” Advances in Competitiveness Research, vol. 19, no. 3&4, pp. 45-57, 2011.
[21] A. A.Gaivoronski, G. M.Sechi and P.Zuddas, "Balancing Cost-Risk in Management Optimization of Water Resource Systems under Uncertainty,” Physics and Chemistry of the Earth, vol. 42-44, pp. 98-107, 2012.
[22] F. El Dabee, R. Marian and Y. Amer,"An Optimisation Model for a Simultaneous Cost-Risk Reduction in Just-in-Time Systems,” in the 11th Global Congress on Manufacturing and Management, GCMM2012, Auckland, New Zealand,2012, pp. 190-201.