Abstract
Business in the present highly competitive scenario emphasises the need to satisfy customers. Generally, uncertainty in demand is observed from customer side when products are deteriorating in nature. This uncertain demand cannot be predicted precisely, which causes fuzziness in related constraints and cost functions. Synchronizing inventory, procurement, and transportation of deteriorating natured products with fuzzy demand, and fuzzy holding cost at source and destination becomes essential in supply chain management (SCM). The current study demonstrates a fuzzy optimization model with an objective to minimize the cost of holding, procurement, and transportation of multi products from multi sources to multi destinations (demand point) with discount policies on ordered and weighted transportation quantity. A case study is illustrated to validate the model.
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Acknowledgments
Kanika Gandhi (Lecturer, Quantitative Techniques and Operations) is thankful to her organization “Bharatiya Vidya Bhavan’s Usha and Lakshmi Mittal Institute of Management” to provide her opportunity for carrying research work.
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Gandhi, K., Jha, P.C. (2014). Development of an EOQ Model for Multi Source and Destinations, Deteriorating Products Under Fuzzy Environment. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_142
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DOI: https://doi.org/10.1007/978-81-322-1602-5_142
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