Supply Chain Performance Evaluation Using Spreadsheet Simulation

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The objective of this paper is to develop a spreadsheet-based simulation methodology to evaluate the performance of a serial supply chain under different inventory position based ((r, Q) and (r, S)) and non-inventory position based (Fixed Order Quantity (FOQ) and Demand Flow Strategy (DFS)) periodic review inventory policies. The performance measures comprises of Fill Rate, Risk of Shortage, Bullwhip Effect and Total Cost of Supply Chain. An experimental study with four scenarios are carried out for two customer demand distributions under information sharing and no information sharing scenarios to determine performance measures in lost sales environment. The best performing inventory control policy for each scenario is found by conducting Grey Relational Analysis and the analysis show that one of non-inventory position based policy, FOQ is the better policy compared to other three policies.

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2699-2703

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lee HT and Wu JC, A study on inventory replenishment policies in a two-echelon SC system, Computers and Industrial Engineering, vol. 51, pp.257-263, (2006).

DOI: 10.1016/j.cie.2006.01.005

Google Scholar

[2] Lau RSM, Xie J and Zhao X, Effects of inventory policy on supply chain performance - A simulation study of critical decision parameters, Computers and Industrial Engineering, vol. 55, pp.620-633, (2008).

DOI: 10.1016/j.cie.2008.02.002

Google Scholar

[3] Wadhwa S, Bibhushan and Chan FTS, Inventory performance of some SC inventory policies under impulse demands, International Journal of Production Research, vol. 47, no. 12, pp.3307-3332, (2009).

DOI: 10.1080/00207540701689750

Google Scholar

[4] Pillai M, Pamulety CT and Elluri PV, Performance analysis of some supply chain replenishment strategies, International Journal of Logistics: Research and Applications, (ahead-of-print), (2013).

DOI: 10.1080/13675567.2013.862227

Google Scholar

[5] Seila AF, Spreadsheet simulation, Proceedings of the Winter Simulation Conference, pp.41-48, (2004).

Google Scholar

[6] Sezen B and Kitapci H, Spreadsheet simulation for the supply chain inventory problem, Production Planning and Control, vol. 18, no. 1, p.915, (2007).

DOI: 10.1080/09537280600940622

Google Scholar

[7] Kuo Y, Yang T and Huang GW, The use of grey relational analysis in solving multiple attribute decision-making problems, Computers and Industrial Engineering, vol. 55, p.8093, (2008).

DOI: 10.1016/j.cie.2007.12.002

Google Scholar

[8] Walkenbach J, Microsoft excel 2000 programming with VBA and formulae bible, First edition, IDG Books India (P) Ltd., (2000).

Google Scholar