Title: Measuring and mitigating the effects of cost disturbance propagation in multi-echelon apparel supply chains.
Speaker: Dr. Priyank Sinha, Assistant Professor, Indian Institute of Management, Rohtak.
Date: Thursday, 2nd July 2020
Time: 3 PM
Mode of Seminar: IEOR e-Seminar
Abstract: Supply chains operating in informal sectors of emerging economies are mostly characterised by inefficiencies, highly price sensitive customers, fragmented markets, frequent operational disturbances, and members with irrational profit seeking behaviour (naïve members). We focus on cost disturbances and measure their effects in terms of demand variation (QV) in multi-echelon informal supply chains. We show how naïve members contribute to amplification and transmission of QV across the supply chain. Strategic members (characterised by rational profit seeking behaviour) on the contrary, dampens the transmission of QV. Efficient reconfiguration solutions are proposed which minimize the QV for a specific cost disturbance scenario. Rational profit seeking behaviour is one of the criteria for selecting members in this reconfiguration. Rapid reconfiguration in these supply chains is possible due to the existence of informal contracts. A robust deviation reconfiguration solution is also proposed which performs satisfactorily over the entire disturbance scenario set. Goodness of this solution is evaluated according to two metrics; namely cost penalty and robust efficiency. Lastly, an illustrative case study on apparel supply chain is presented and it is inferred from the discussion that large aggregators are both cost and robust efficient, hence their presence in the supply chain improves performance of robust solutions along the two metrics (cost penalty, robust efficiency).
Speaker Bio: Dr Priyank Sinha is currently working with Indian Institute of Management, Rohtak in the area of operations/ supply chain management. He has completed his Ph.D. from IIT, Kanpur in the area of network optimization. His research interests include application of network optimization models to the problems pertaining to supply chain risk/disruption. Currently, he is working on problems like evaluating/improving the robustness of the Indian vaccine supply, and developing appropriate metrics to evaluate the effects of catastrophic disruptions on supply chain performance.
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