Department of Mechanical engineering

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Author: search.filters.author.Routroy, SrikantaEnd date: 2019

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    Developing the preferred supplier relationships - a case study
    (Inder Science, 2018-04) Routroy, Srikanta
    The manufacturer-supplier relationships along the manufacturing supply chains have become the rich sources for generating the sustainable competitive advantages. Consequently in developing these relationships, often the manufacturers are inclined to have preferred supplier relationships established so as to cater their long-term requirements. In this regard, a manufacturer must adopt a scientific process to favourably associate with few selected suppliers and eventually choose to develop the right suppliers in order to generate the supply base advantages over the other manufacturers. However, in practice often the right suppliers are not systematically promoted and thereby the opportunities for achieving the potential growth of manufacturing supply chains are greatly lost. Considering this issue, the current study is focused on proposing a systematic approach for establishing the preferred supplier relationships. By implementing the proposed process, a manufacturer can ensure that the right suppliers are professionally endorsed and the manufacturer-supplier relationships are optimally flourished.
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    Value stream map and supply chain interdependencies in India - Surimi case - OC2020 A-010
    (SINTEF, 2019) Dasgupta, Mani Sankar; Routroy, Srikanta
    This report is a part of WP1 in the Revalue project and presents the findings from process mapping of the Surimi value chain in India. There are many factors which have been identified as critical in maintaining fish and RRM quality. These include fragmented ownerships, fishing area identification, fishing boat and its capacity, boat unloading time and practice, absence of real time information sharing, visual inspections of fish quality at various stages, non-standard cold chain, lack of temperature measurement system, distributed location of operations etc. It was concluded from the process flow charts and cost-responsiveness analysis that the existing Surimi supply chain performance in India can be improved by removing the manual touch points and non-value-added activities. This will have positive impacts on the raw material quality and refrigeration required in the system proportionately.
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    Decision framework for capacity decision in a supply chain
    (Inder Science, 2006-12) Routroy, Srikanta
    Capacity 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.
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    Analyzing the Product Substitution Approach in a Two-Stage Supply Chain
    (IUP, 2013-06) Routroy, Srikanta
    Product substitution refers to the use of product configuration Y to satisfy the demand for product configuration X when there is a stock-out for product configuration X in a multi-product configuration environment. Both product configuration X and Y are from the same product family where product configuration Y is higher in comparison to X. In this paper, a simulation model is developed for a two-stage supply chain for a multi-product configuration environment to study the impact of product substitution on supply chain performance along different dimensions and to determine the suitability of product substitution approach in a specific supply chain environment. Regression analysis is also carried out to establish the relationship between output parameters (i.e., total profit and product fill rate) and various input parameters
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    Traditional Inventory Planning to Multi-Echelon Supply Chain Inventory Planning: A Critical Review
    (IGI Global, 2010-03) Routroy, Srikanta
    The inventory planning problem was first addressed with assumptions of a single echelon and a single non-perishable product with deterministic independent demand without any constraints; but now, the research has shifted to a multi-echelon supply chain inventory planning with many constraints arising from supply chain members at different stages with stochastic behavior in terms of demand and lead time for both perishable and non-perishable products. Multi-echelon inventory planning has been a particularly difficult problem to solve in supply chain and not much progress has been made in this context to be useful to managers
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    Implementation performance of agile manufacturing: a graph theoretic approach
    (Inder Science, 2018-07) Routroy, Srikanta; Potdar, Pavan Kumar
    The primary objective of this paper is to quantify, evaluate and compare the implementation performance of agile manufacturing program using graph theoretic approach. Eleven agile manufacturing enablers with their key performance indicators were identified and classified into three significant categories. The proposed model captures the performance and interdependencies of significant categories, agile manufacturing enablers and their key performance indicators to quantify the agile manufacturing implementation performance level. In order to demonstrate the utility of the proposed approach, it was applied to an Indian automobile manufacturing company. The performances along the timeline were evaluated and compared with different scenarios to identify performance gap and set the future targets. Although it was observed a significant growth in agile manufacturing implementation performance level in the case company over six quarters, but there was performance gap that needs to be reduced.
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    Analysis of Agility Performance of Supply Chain: A Case Study on Indian Automotive Manufacturer
    (IOP, 2018) Routroy, Srikanta
    Manufacturing companies should understand the changing customer needs and expectations, access and defend the competitive pressure, anticipate and manage the uncertain demand and supply chain risk, and implement the appropriate technology to survive and excel in today's marketplace. Therefore, they are moving away from mass production (i.e. lean supply chain) to one based on fast-responsiveness and flexibility, capitalizing on the rapid advancement in internet technologies and factory-on-demand mode of production (i.e. agile supply chain). It is observed that manufacturing companies in India in general and automotive supply chain in specific are compelled to cultivate supply chain agility for enhancing its performance level on continuous basis and comparing its supply chain agility performance with competitors to survive and sustain in the competitive business environment. Therefore, a methodology is proposed to evaluate the supply chain agility of a manufacturing supply chain and compare its performance level with competitors using Fuzzy Analytic Hierarchy Process and Taguchi Loss Function. A case study is developed and the proposed methodology is applied to Indian automotive supply chain for explaining the salient features of it.
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    Analysis of enablers for vertical integration to enhance rural employability
    (Emerald, 2019-06) Routroy, Srikanta; Garg, Girish Kant
    The purpose of the paper is to identify, analyze and select the enablers for vertical integration of Aloe vera supply chain (AVSC) so that rural employability will be enhanced in the context of Rajasthan, India.
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    A benchmarking approach for supply chain risk management
    (Inder Science, 2015) Routroy, Srikanta
    Today, 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.
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    Achieving Supply Chain Coordination Through Lot Size Based Discount
    (Elsevier, 2015) Routroy, Srikanta
    A generic mathematical model is developed for a two level supply chain through lot size based discount to achieve supply chain coordination. The model considers a single product with probabilistic demand. It accounts total supply chain cost which entails product cost, inventory holding cost, ordering cost and stock-out cost considering the maximum allowable supply chain inventory. Genetic algorithm is used for determining the optimum levels of ordering quantity, supply chain savings, and discount percentage (i.e. an upper member should offer to a lower member of the supply chain) to enhance supply chain profit. A case situation is elucidated to demonstrate the salient features of the proposed model.