Multiple sourcing under supplier failure risk and quantity discount: A genetic algorithm approach |
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| Affiliation: | 1. IBS Hyderabad, a Constituent of IFHE (Deemed to be) University, Dontanpalli (Village), Shankerpalli Road, Hyderabad, Telangana., India;2. Department of Economic Environment and Strategy, IMT Ghaziabad, 201001, India;3. Assistant Professor, Department of Economics and IB, University of Petroleum and Energy Studies, Dehradun, 248007, India;4. CRCGM-Université d’Auvergne, France;5. IPAG Business School, IPAG — Lab, France |
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| Abstract: | This paper investigates an order allocation problem of a manufacturer/buyer among multiple suppliers under the risks of supply disruption. A mixed integer non-linear programming (MINLP) model is developed for order allocation considering different capacity, failure probability and quantity discounts for each supplier. We have shown that the formulated problem is NP-hard in nature and genetic algorithm (GA) approach is used to solve it. The model is illustrated through a numerical study and the result portrays that the cost of supplier has more influence on order quantity allocation rather than supplier’s failure probability. |
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