Department of Mechanical engineering

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Subject: search.filters.subject.AHP

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    A Fuzzy AHP Approach for Supplier Selection
    (OSCM, 2014) Digalwar, Abhijeet K.
    Supplier selection is an integral part of supply chain management in any organization which is directly responsible for its success in market and if we see today’s highly competitive environment then it is pretty much difficult to find an effective and efficient supplier which can fulfill all organization’s need as required. Though there has been extensive research in supplier selection and quality management, but there has been less research in supplier selection/ evaluation under various conflicting/dependent criteria and sub criteria. To overcome this issue, Fuzzy-AHP a multi criteria decision making approach is proposed. This allows the decision making in fuzzy environment to rule out the error caused due to vagueness in human thoughts.
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    Development of a multi criteria decision model for justification of green manufacturing systems
    (Inder Science, 2011-12) Sangwan, Kuldip Singh
    Rapid industrial growth in the last century has led to many economic, environmental and social problems from global warming to local waste disposal. The industry has come under increasing pressure to reduce the environmental impacts involved in the production of goods and services. In recent years green manufacturing systems (GMS) have been widely considered for implementation to reduce environmental and social impacts as well as to improve economical competitiveness. However, the implementation of such systems is expensive and relative investments tend to be irreversible, thus, necessarily requiring careful consideration before a decision can be made. However, the managers find it difficult to justify implementation of GMS to top management as traditional economic approaches do not account for the significant intangible benefits offered by GMS. In this paper, an attempt has been made to overcome the deficiencies of traditional economic justification approaches by presenting a multi criteria decision model – analytic hierarchy process (AHP) – for the justification of green manufacturing systems. The usefulness of the model is demonstrated through an illustrative example
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    Urban Policymaking for a Developing City Using a Hybridized Technique Based on SWOT, AHP, and GIS
    (ASCE, 2021) Singhal, Anupam; Routroy, Srikanta
    The high rate of population growth in the 21st century is causing mass migration from rural to urban settlements. Rapid urbanization in developing countries generally follows unregulated growths, urban sprawls, and inefficiencies in city planning. With the trend of rapid growth in developing countries, it has been very difficult to maintain an environmentally sustainable and socially resilient policy framework. This study proposes an urban development policy framework for sustainable planning in developing cities by coupling geographic information system (GIS) geospatial zonal analysis with strength, weakness, opportunities, and threats (SWOT) and analytical hierarchy process (AHP) model. The hybridized approach incorporates critical issues such as disaster impact, slum settlements, infrastructure deficit, and noise pollution in urban planning. A case study of the city of Delhi was taken to demonstrate the applicability of the proposed framework in developing cities. The novelty of the study is that it proposes a highly flexible urban development plan based on the integrated GIS and SWOT-AHP methodology that is specific to the needs of developing economies and developing cities. The methodology also puts a strong emphasis on disaster prevention and response in the urban development plan. Results from the GIS–SWOT-AHP model can be used for region-based urban planning that prioritizes regions needing critical attention and directs the development of the city toward a sustainable future.
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    Development of supply chain risk mitigation strategy: a case study
    (Inder Science, 2014) Routroy, Srikanta; Pradhan, Sudeep Kumar
    The supply chain managers are making efforts to identify, assess, manage and mitigate the supply chain risks successfully to survive in the long run and to attain competitive advantages. The failure to manage these risks effectively can have a significant negative impact on supply chain performance. Therefore, the supply chain risks should be identified, quantified and analysed and it will form the basis for developing the supply chain mitigation strategies. Therefore, a complete and structured methodology is proposed for analysing supply chain risks and developing the supply chain risk mitigation strategies in a manufacturing supply chain environment. The application of proposed methodology has been demonstrated with a manufacturing case environment. It will be quite useful in the environment where quantitative information related to supply chain risks is not available.
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    Framework for green procurement: a case study
    (Inder Science, 2012-06) Routroy, Srikanta
    Manufacturing companies are putting significant effort and investment to achieve feasible and affordable greenness in their supply chains. The procurement is a major area of manufacturing supply chain and has a significant impact on the final product with respect to quality, cost and greenness. Therefore, the manufacturing organisation should incorporate green issues while procuring components, parts, sub-assembly and services from suppliers. In this paper, a conceptual framework for green procurement (GP) in manufacturing environment is proposed. The simplicity and clarity of proposed model enhances its acceptability for implementation and also ensures desired level of greenness in the procurement process.