Quantifying the Effect of Sharing Information in a Supply Chain Facing Supply Disruptions

Yi Tao, Loo Hay Lee () and Ek Peng Chew ()
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Yi Tao: School of Management, Guangdong University of Technology, 161 Yinglong Road, Guangzhou 510520, P. R. China
Loo Hay Lee: Department of Industrial and Systems Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore
Ek Peng Chew: Department of Industrial and Systems Engineering, National University of Singapore, 1 Engineering Drive 2, Singapore 117576, Singapore

Asia-Pacific Journal of Operational Research (APJOR), 2016, vol. 33, issue 04, 1-28

Abstract: In this work, a system dynamics simulation approach is proposed to evaluate the effect of sharing information with partners in a supply chain when it is faced with supply-related disruptions which severely affect the product manufacturing. We focus on a simple two-echelon supply chain involving one retailer and two suppliers, and study the retailer’s decision on allocating orders between the suppliers. Three specific settings of information sharing by the suppliers are investigated: (i) no information shared; (ii) information partially shared; and (iii) information completely shared. After establishing corresponding ordering policy under each setting, we conduct extensive numerical analysis to simulate shocks to suppliers’ manufacturing capacity and calculate the resulting extra cost as measure of the effectiveness of information sharing. Simulation results show that with more information shared by suppliers, the retailer is able to make response to disruptions more accurately and timely, the negative impact of which thus can be reduced by larger extent, even though not completely eliminated.

Keywords: Supply chain risk; supply disruptions; system dynamics; information sharing; ordering decisions (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0217595916500299

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