Department of Mechanical engineering
Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1921
Browse
4 results
Search Results
Item Modeling of Risk Factors in Transportation of Perishable Goods Using ISM Approach(Springer, 2022-02) Sangwan, Kuldip Singh; Sharma, Satyendra KumarTransportation is most well defined as a catalyst of progress. This holds true especially in the case of transportation of perishable food items. Hence, it is tough to viably protect transient products and confirm extreme freshness during blistering and moist climate. In India, the most basic requirement in development of the nourishment preparing industry is the absence of included cold chain facilities. The objective of this research is to present the readily available facts about transport and storage of perishable foods and outline the risk factors involved in this activity. Through research, various risk factors in transportation have been analyzed using ISM technique.Item Modeling drivers for successful adoption of environmentally conscious manufacturing(Emerald, 2014-07) Sangwan, Kuldip SinghThis paper aims at developing an interpretive structural model of drivers for environmentally conscious manufacturing (ECM). It will demonstrate how interpretive structural modeling (ISM) supports policy makers in the government and industry in identifying and understanding interdependencies among drivers for ECM. Interdependencies among drivers will be derived and structured into a hierarchy to derive subsystems of interdependent elements with corresponding driving power and dependency.Item Analysis of Barriers to Industry 4.0 adoption in Manufacturing Organizations: an ISM Approach(Elsevier, 2021) Sangwan, Kuldip SinghIndustry 4.0 has enabled technological integration of cyber physical systems and internet based communication in manufacturing value creation processes. As of now, many people use it as a collective term for advanced technologies, i.e. advanced robotics, artificial intelligence, machine learning, big data analytics, cloud computing, smart sensors, internet of things, augmented reality, etc. This substantially improves flexibility, quality, productivity, cost, and customer satisfaction by transforming existing centralized manufacturing systems towards digital and decentralized one. Despite having potential benefits of industry 4.0, the organizations are facing typical obstacles and challenges in adopting new technologies and successful implementation in their business models. This paper aims to identify potential barriers which may hinder the implementation of industry 4.0 in manufacturing organizations. The identified barriers, through comprehensive literature review and on the basis of opinions collected from industry experts, are: poor value-chain integration, cyber-security challenges, uncertainty about economic benefits, lack of adequate skills in workforce, high investment requirements, lack of infrastructure, jobs disruptions, challenges in data management and data quality, lack of secure standards and norms, and resistance to change. Interpretive Structural Modeling (ISM) is used to establish relationships among these barriers to develop a hierarchical model and MICMAC analysis for further classification of identified barriers for better understanding. An analysis of driving and dependence of the barriers may help in clear understanding of these for successful implementation of Industry 4.0 practices in the organizations.Item Development of an Interpretive Structural Model of Barriers to Reverse Logistics Implementation in Indian Industry(Springer, 2011-01) Sangwan, Kuldip SinghSustainability is an important concept for twenty first century organizations and one approach for managing corporate sustainability is through the introduction of reverse logistics (RL). But there are many barriers to the implementation of RL in developing countries like India. This paper identifies sixteen barriers to RL from the literature survey. An interpretive structural modeling (ISM) technique has been used to develop a structural model to obtain proper hierarchy and interrelationship among the barriers. The model will help the decision makers in government and industry to prioritize the focus on the barriers for implementation of RL.