Analytical modelling of multi stage convergent supply chain system under just-in-time
AbstractThe main objective of this paper is to develop an analytical model for operational level decisions for convergent supply chain system controlled by kanban under JIT where a product is assembled from a number of components supplied by many multistage supply chains. It integrates production and shipment lot size across the various stages of supply chain so that components travel through the supply chain in a coordinated way without any mismatch and final product reaches the customer in time. A quantitative analytical approach has been followed to develop the non-linear integer program (NLIP) and a generic LINGO program also has been developed for NLIP using branch and bound method for optimisation. This model facilitates integrated supply chain optimisation for system wide inventory, logistic and production setup costs optimisation. The model has been validated using automotive supply chain data. However, it can be applied to any industry.
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Bibliographic InfoArticle provided by Inderscience Enterprises Ltd in its journal Int. J. of Applied Management Science.
Volume (Year): 3 (2011)
Issue (Month): 2 ()
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Web page: http://www.inderscience.com/browse/index.php?journalID=286
supply chain management; SCM; kanban; just-in-time; JIT; convergent supply chains; analytical modelling; multistage supply chains; nonlinear integer programming; NLIP; supply chain optimisation; inventory costs; logistics costs; production setup costs; automotive supply chains; automobile industry.;
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