BITS Faculty Publications
Permanent URI for this communityhttp://localhost:4000/handle/123456789/1867
Browse
10 results
Search Results
Item Impact of Seed Type and Fertilizer on Pearl Millet Yield: A Descriptive Study in Selected Districts of Rajasthan(Taylor & Francis, 2023) Routroy, Srikanta; Sharma, Satyendra KumarVarious input factors for cultivation practices are adopted in the upstream supply chain such as seed quality, fertilizer use, rainfall, temperature and farmer awareness play an important role to maximize the pearl millet yield. A survey questionnaire was developed considering these factors and 473 farmer responses were collected from the semi-arid zone of Rajasthan. The adoption of different seed types for pearl millet are 77% (Desi), 22% (Hybrid), and 0.40%(both). Whereas the fertilizers usage is 67.44% (Organic), 5.50% (Inorganic), 19.66% (Both), and 7.40% (Not used). These factors have an impact on the yield of pearl millet. Therefore, there is a need to inform the benefits of hybrid seeds among the farmer through incentive schemes and various stakeholders such as SHGs (Self-Help Groups) for its increased adoption. Also, government should take steps so that marginal farmers can use both organic and inorganic fertilizers depending upon their cultivated land. The findings of the current research will be useful for the policy maker to develop different policies related to pearl millet and Stover yield and will be a valuable addition to the upstream pearl millet supply chain in specific.Item Retail Location Decision Using an Integrated DEMATEL-ANP method: Retail Location(IGI Global, 2018) Sharma, Satyendra Kumar; Routroy, SrikantaThis study focuses on developing a model for making retail location decisions which addresses the limitations of existing methods. The integrated DEMATEL-ANP method used here successfully accounts for interdependencies between the selected criteria. After reviewing the existing methods for decision making, the Decision Making Trial and Evaluation (DEMATEL) and the Analytical Network Process (ANP) methods were chosen. DEMATEL evaluates the degrees of influence the criteria have on each other. ANP is used to assign weights to criteria and the sub-criteria, and eventually derive the weights for the alternative locations. The integrated model helps prioritize among the available alternatives based on scientific methods, much more reliable than intuition and experience based methods still practiced today. Adopting this method can help retail chains make more informed decisions. This is the first time an integrated DEMATEL-ANP method has been applied in the context of retail location decision.Item An Empirical Study on Supply Chain Risk Management Strategies in Indian Automobile Industry(SSRN, 2015-08) Sharma, Satyendra Kumar; Bhat, Anil Kumar; Routroy, SrikantaSupply chain disruptions, major or minor, have affected supply chains negatively. Literature shows that supply chain disruptions also lead to reduction in shareholder value. Supply Chain Risk Management (SCRM) has become a concern for boardrooms, and companies have started to think how they can better manage their supply chains to survive and continue operations. This paper provides insights into SCRM in Indian automobile sector. Strategies used to deal with supply chain risks are explored in this paper. First a taxonomy is suggested based on the review of the extant literature, i.e., proactive strategies, coping strategies, aligning strategies, early warning strategies and survival strategies. These strategies are then empirically tested in the context of Indian automobile industry. A total SCRM strategy index is calculated and the status of Indian automobile industry in SCRM is discussed.Item Modeling information risk in supply chain using Bayesian networks(Emerald, 2016-03) Routroy, Srikanta; Sharma, Satyendra KumarInformation sharing enhances the supply chain profitability significantly, but it may result in adverse impacts also (e.g. leakages of secret information to competitors, sharing of wrong information that result into losses). So, it is important to understand the various risk factors that lead to distortion in information sharing and results in negative consequences. Information risk identification and assessment in supply chain would help in choosing right mitigation strategies. The purpose of this paper is to identify various information risks that could impact a supply chain, and develop a conceptual framework to quantify them.Item Analysis of manufacturing supply chain agility performance using Taguchi loss functions and design of experiment(Emerald, 2018-11) Rout, Bijay Kumar; Sharma, Satyendra Kumar; Routroy, SrikantaThe purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE).Item Vehicle routing problem: recent literature review of its variants(Inder Science, 2018) Sharma, Satyendra Kumar; Routroy, SrikantaThe vehicle routing problem is the most studied combinatorial optimisation problem. The purpose of this study is to provide an overview of the research to date in vehicle routing problem variants. The literature is reviewed with a focus on research in three major variants of the vehicle routing problem, namely capacitated vehicle routing problem, mixed depot vehicle routing problem and vehicle routing problem with pickup and delivery. Journal articles from three academic databases, namely Taylor and Francis, Elsevier and Emerald, are selected and reviewed. Ample literature is available on this problem so to restrict the scope, we screened the journal articles using the above mentioned variants precisely, excluding those that are in combination with other variants. This review takes a closer look at 117 research articles selected from various journals. By presenting the past literature, we hope to motivate further research in the field.Item Supplier selection using hybrid multicriteria decision-making methods(Emerald, 2021-06) Sharma, Satyendra Kumar; Routroy, SrikantaThe paper develops a decision-making model for supplier selection combining quality function deployment (QFD), analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). The efficacy of the model was demonstrated by applying it for supplier selection of lithium ion batteries.Item Bayesian Belief Network Approach for Supply Risk Modelling(IGI Global, 2022) Sharma, Satyendra Kumar; Routroy, SrikantaToday’s global and complex world increased the vulnerability to risks exponentially and organizations are compelled to develop effective risk management strategies for its mitigation. The prime focus of research is to design a supply risk model using Bayesian Belief Network bear in mind the tie-in of risk factors (i.e. objective and subjective) those are critical to a supply chain network. The proposed model can be re-engineered as per new information available at disclosure, so risk analysis will be current and relevant along the timeline as so situation is strained. The top three factors which influenced profitability were transportation risk and price risks. Netica is the platform used for designing and running simultaneous simulations on the Bayesian Network. The proposed methodology is demonstrated through a case study conducted in an Indian manufacturing supply chain taking inputs from supply chain/risk management experts. .Item Analysis of supply chain vulnerability factors in manufacturing enterprises: a fuzzy DEMATEL approach(Taylor & Francis, 2022-06) Sharma, Satyendra Kumar; Routroy, SrikantaWith an increase in supply chain disruptions, managing supply chain vulnerability has become a key factor to build resilient supply chains. Although supply chain vulnerability and associated factors are mostly studied individually or with selected groups, the supply chain literature lacks comprehensive and systematic studies. The current study aims to identify and segregate the supply chain vulnerability factors for manufacturing enterprises based on causal–effect relationships that exist between them. The supply chain vulnerability factors are identified from the extant literature review. Its applicability in Indian manufacturing enterprises is discussed with experts drawn from industry and academia. The cause–effect relationships of selected supply chain vulnerability factors are analysed using the fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) approach. The obtained results indicate that supply design and supply chain efficiency-related factors are effect factors, whereas supply chain collaboration and information technology-related factors are causal factors. Complexity, centralisation, supplier concentration and low-cost sourcing are found to be the most prominent factors. This research contributes to the literature on supply chain vulnerability by describing the causal relationships among key factors impacting it. It would help managers to develop appropriate disruptions mitigation strategy(s) to make a resilient and robust supply chain.Item Supply-side risk modelling using Bayesian network approach(Taylor & Francis, 2022-02) Chanda, Udayan; Sharma, Satyendra Kumar; Routroy, SrikantaOrganisations’ vulnerability to risks exponentially increased in the past decade, thereby highlighting the need to develop additional effective risk management strategies. This research uses a systematic literature review as a foundation for designing a supply risk model that uses a Bayesian belief network. The proposed model aims to identify the most critical objective and subjective risk factors influencing supply chain networks. Moreover, the proposed methodology has been demonstrated through a case study conducted in an Indian manufacturing, in which inputs were taken from supply chain and risk management experts. Hugin Expert software was used to design and run simultaneous simulations on the Bayesian network. The top three factors found to influence business profitability were delays, product technology, and fuel price. The proposed model can be reengineered as conditions change and new information becomes available, thereby ensuring that risk analysis remains current and relevant along the timeline of the any disruption.