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Organisations are forming supply chain networks for delivering the right quantity of quality products at the right time to their customers. An understanding about the potential risk sources which could possibly disrupt the performance of the entire supply chain would be useful when developing an...
Well-established conventional algorithms are available for solving the economic emission dispatch (EED) problem. But the recent trend is to use the tools such as genetic algorithms (GAs) evolutionary programming technique, etc., because of some of their superior qualities. In this paper, GA...
This paper presented a decision support model for VMI system by applying the economic order quantity (EOQ) with fuzzy demand. The model of fuzzy EOQ that has been developed in this study is intended to accommodate the fuzzy demand. Result of the study shows that the optimal quantity of fuzzy EOQ...
In this paper, we develop the continuous time stochastic model for multi stage malignant tumours with non-homogeneous Poisson process. The statistical measures like expected number and variance of malignant and normal cells were derived through a probability distribution, which developed through...
The purpose of this study is to research the transition towards collaborative smart supply chains and the capabilities required by its actors in different network roles. Based on earlier literature the preliminary framework of the paper defines the four roles (customer, manufacturer, supplier,...
The cold chain has become one of the most important supply chain practices in the world today especially because it is used in the pharmaceutical, food, chemical as well as in the floral industries. This report examines the cold chain logistics in the floral industry, from the suppliers (flower...
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