Department of Mechanical engineering

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Has files: NoSubject: search.filters.subject.Supply Chain Management

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    Validity and reliability of sustainable supply chain management frameworks in Indian smart manufacturing industries
    (Emerald, 2023-05) Jasti, Naga Vamsi Krishna
    Sustainable supply chain management (SSCM) ensures integration of socially, environmentally and economically feasible practices in entire supply chain. SSCM principles can be implemented to improve efficiency and productivity of a system by different attributes of the system. The purpose of this article is to identify the most appropriate existing (SSCM) framework that can be implemented suitably in Indian smart manufacturing industries
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    A framework for lean manufacturing implementation
    (Inder Science, 2016-10) Sangwan, Kuldip Singh
    This paper aims at providing a lean implementation framework, which takes into consideration the strengths and weaknesses of the existing frameworks, for easy and effective lean manufacturing implementation by the managers/practitioners. A review of 22 existing lean implementation frameworks has been done to identify the strengths and weaknesses of existing models. A lean manufacturing implementation framework is proposed by leveraging these strengths and mitigating the weaknesses. The novelty of the proposed framework is that it provides easy to understand steps to be followed during pre-implementation, implementation and post-implementation phases for easy understanding and self assessment at critical milestones. It is believed that the proposed lean implementation framework will serve as a guide map to the managers for lean manufacturing implementation. In addition, the proposed framework is simple yet comprehensive in term of coverage: horizontally, it covers the whole supply chain and vertically it starts from lean philosophy awareness creation and ends with rewards for successful implementation.
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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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    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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    An approach to address principal supplier development impediments
    (Emerald, 2017-07) Routroy, Srikanta
    The 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 strategies
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    Development of decision framework for warehouse decisions in supply chain network
    (Inder Science, 2008-01) Routroy, Srikanta
    Warehouse 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.
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    An approach for measuring a manufacturer’s preferred supplier status
    (Emerald, 2016-02) Routroy, Srikanta
    The 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 timeline
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    Analysis of suppliers' preferences to a manufacturer using Kano model and performance value analysis
    (Inder Science, 2016-12) Routroy, Srikanta
    The 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.
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    Multi-echelon Supply Chain Inventory Planning with demand and leadtime uncertainty
    (Inder Science, 2009-05) Routroy, Srikanta
    The 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.
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    Supply management integration model for Indian manufacturing industries
    (Emerald, 2016-07) Routroy, Srikanta
    The 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.