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 A benchmarking approach for supply chain risk management(Inder Science, 2015) Routroy, SrikantaToday, most of the supply chains are facing risks from multiple sources. These risks have negative impacts on different supply chain performances and are environment dependent. The supply chain managers should understand, analyse and develop an efficient strategy(s) to manage and mitigate the risks involved in their supply chains. Although few researches have been reported on supply chain risks in the literature, they are mostly industry specific. Different supply chain risk management frameworks available in literatures are discussed in detail. A generic supply chain risk management framework using a benchmarking approach is proposed and this proposed framework can serve as a road map to mitigate the supply chain risks.Item An approach to address principal supplier development impediments(Emerald, 2017-07) Routroy, SrikantaThe purpose of this paper is to assist a manufacturer for determining the principal supplier development impediments (SDIs) that are affecting the supplier development programs (SDPs) and yield a basis for drawing the appropriate mitigation strategiesItem 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 An approach for measuring a manufacturer’s preferred supplier status(Emerald, 2016-02) Routroy, SrikantaThe purpose of this paper is to assist a manufacturer with a process to measure the level of preferred supplier status (PSS) of its key suppliers along the timelineItem Analysis of suppliers' preferences to a manufacturer using Kano model and performance value analysis(Inder Science, 2016-12) Routroy, SrikantaThe approaches to achieve competitive advantages have not been actively extended along the manufacturing supply chains, as most of them are practiced in competitively putting efforts to achieve the customer satisfaction alone. Conventionally, the suppliers' outlook has been mostly ignored by the supply chains without imparting the essential emphasis what it aptly deserves. Moreover, majority of the manufacturers along the supply chains have feeble supply bases and are seriously struggling to put forth a healthy competition. This is due to negligence in accounting the extraneous influence of supplier satisfaction construct which can eventually position a manufacturer as a preferred customer. Considering the above discussed issues, there are no specific studies available in the published literature to systematically capture, plan and manage supplier's perceptions, expectations and attractions which lead to supplier satisfaction. Thus, the current study is an attempt to resolute through an approach using Kano model and performance value analysis.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 Supply management integration model for Indian manufacturing industries(Emerald, 2016-07) Routroy, SrikantaThe purpose of this paper is to identify and develop the structural relationship among the key drivers to control and enhance the supply management (SM) performance in Indian manufacturing environment.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 A Study of Apparel Supply Chain Risks(IUP, 2014) Routroy, SrikantaToday, apparel supply chains are becoming more prone to both controllable and uncontrollable risks. This phenomenon may be attributed to many causes but not limited to less vertical integration, fragmentation of supply chain ownership, short product life cycle, ever-changing customer expectations, increasing level of competition, environmental regulations, rapid technology obsolescence, etc. These risks deteriorate directly the apparel supply chain performance in terms of both efficiency and responsiveness. Therefore, the Apparel Supply Chain (ASC) managers should identify and analyze the risks related to their supply chains so that appropriate mitigation strategies can be developed to enhance the supply chain performance. An attempt is made to study the ASC and identify the related risks in general. This will provide a platform to identify the risks for an apparel supply chain in particular