Department of Mechanical engineering
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Item Decision framework for capacity decision in a supply chain(Inder Science, 2006-12) Routroy, SrikantaCapacity decision in the supply chain is a complex, multi-attribute decision problem that must be accomplished within a constrained resource environment. An Analytic Hierarchy Process (AHP) allows decision-makers to find the priority values of the potential facilities' location in the supply chain by considering the relevant attributes. These priority values have to be maximised, whereas the cost of facilities' locations, which depends upon the number of such locations and their capacity and the cost associated owing to transportation of raw materials between suppliers and facilities' locations and of finished products between markets and facilities locations, have to be minimised while making capacity decision in the supply chain. For this, a decision framework is developed which integrates the AHP with a 0–1 integer-programming model. A simulated annealing model is used for solving the capacity decision problem in the supply chain.Item Development of decision framework for warehouse decisions in supply chain network(Inder Science, 2008-01) Routroy, SrikantaWarehouse decisions are important and require close attention in supply chain network. It involves a number of important decisions, i.e. ownership decision; feasible locations for the warehouses; optimal number and capacity of the warehouses; size of the warehouses; and finally internal warehouse management. In supply chain network, number of warehouses and locations are considered as supply chain network design decisions and involved in major capital investments and has a long-term effect on the supply chain performance. In this paper, a decision framework is proposed for warehouse decisions in supply chain. In the proposed decision framework, the constant sum model is applied for determination of the priority value for feasible locations and 0?1 integer programming is developed for the determination of optimal number of warehouses and their required capacity in supply chain network.Item Multi-echelon Supply Chain Inventory Planning with demand and leadtime uncertainty(Inder Science, 2009-05) Routroy, SrikantaThe paper discusses a generic model for Multi-echelon Supply Chain Inventory Planning (MSCIP) with demand and leadtime uncertanity considering the Total Supply Chain (TSC) cost, which consists of Supply Chain Inventory Capital (SCIC), Supply Chain Ordering/set-up Cost (SCOC) and Supply Chain Stock-out Cost (SCSC) for a Maximum Allowable Supply Chain Inventory (MASCI). The Differential Evolution (DE/best/1/bin) strategy is used to solve MSCIP problem to determine ordering/production quantity and service level that should be maintained by each member of the supply chain. One case situation is elucidated to reinforce the salient features of the concept. A sensitivity analysis is carried out to know how the TSC is varying along MASCI in different environments.Item Performance value analysis for selection of facilities location in competitive supply chain(Inder Science, 2006-08) Routroy, SrikantaThe facility location decisions are inherently strategic and long-term in nature and are also critical to the efficient and effective operation of a competitive supply chain. The transportation, inventory and information sharing decisions can be changed in response to changes in different potential parameters of the competitive supply chain, whereas the facility location decisions are often fixed and cannot be changed, even in the medium-term. Therefore, the successful execution of the decision, i.e. selection of facilities location in competitive supply chain, would give a cutting edge to the organisation. The present work describes a decision support system i.e. performance value analysis (PVA) for a selection of facilities location in a competitive supply chain.Item Selection of Third Party Logistics Provider in supply chain(Inder Science, 2009) Routroy, SrikantaFor most of the manufacturing firms, logistics is not considered to be a core competency and it is often performed by Third Party Logistics Provider (TPLP). The present work describes an efficient decision framework for TPLP evaluation and selection in supply chain. The objective of this paper is to explain how an Analytic Hierarchy Process (AHP) and Performance Value Analysis (PVA) algorithm can be used to capture and analyse Significant Categories (SCs) and Performance Indicators (PIs) for ranking the TPLPs effectively. The application of decision framework for TPLP evaluation and selection has been demonstrated with a case situation.Item Differential evolution algorithm for supply chain inventory planning(Emerald, 2005) Routroy, SrikantaThis paper discusses the inventory planning of a supply chain, which consists of a manufacturer, distributor and retailer.