Abstract
Simulation Optimization of Manufacturing Takt Time for a Leagile Supply Chain with a De-coupling Point
Highlights
Chains often pose challenges in decision making as it involves several entities and parameters like vendors, warehouses, logistics supports, variable demands and costs, etc
Products are continuously manufactured at a predetermined rate based on takt time and pushed to the warehouse after which the goods are pulled by the retailer(s) according to the customer demand
A trade-off problem identified between inventory cost and shortage cost in a leagile supply chain
Summary
Chains often pose challenges in decision making as it involves several entities and parameters like vendors, warehouses, logistics supports, variable demands and costs, etc. The market demand is volatile because of lot of factors such as increasing demands for customization, advances in technology, seasonal variations, catastrophes, etc It is, imperative that advancements in modeling of supply chain management systems rise up to meet the challenges [2-4]. Agile supply chains provide with the solutions to problems where there is fluctuating demand with high variety These two paradigms of lean and agile supply chains are merged to develop the conceptual model of leagile supply chain. The aim of the present work is to find the optimum production rate or takt time of a manufacturing/assembly system associated with a leagile supply chain having stochastic and dynamic demands at multiple retailers. A discrete-event simulation model is developed for the leagile supply chain to experiment with varying production rates under dynamic demand scenarios. The concluding remarks and future scope of the work are presented in the last section
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