BITS Faculty Publications
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Item Value Network Mapping for Productivity Improvement: A Case Study(IUP, 2013) Digalwar, Abhijeet K.The paper aims at improving the production performance of a transaxle assembly line by lean manufacturing implementation. The production performance has been increased by identifying and eliminating non-value added activities through value network mapping. To achieve maximum productivity while producing 200 pieces per shift instead of 150 pieces per shift, the assembly line will need only 13 operators instead of 17 and the productivity can be enhanced by 62.3% as compared to the current state. On the other hand, while producing 125 pieces per shift instead of 150 pieces per shift, the assembly line will need only 9 operators instead of 17 and productivity can be enhanced by 30.05% as compared to the current state. Both the production plans can be implemented with the minimum setup and changeover timesItem Modeling the Critical Success Factors for Sustainable Growth of Mining Industry in India(IUP, 2017) Digalwar, Abhijeet K.India has long been recognized as a nation well endowed in natural mineral resources. India is ranked fourth amongst the mineral producer countries, behind China, United States and Russia, on the basis of volume of production, as per the report on mineral production by International Organizing Committee for the World Mining Congress. It is however ranked eighth on the basis of the value of mineral production. Earth is moved by mining activity more than any other human endeavor. The mining sector therefore is one of the most important sectors in India’s economy and contributes about 2% to our GDP. However the contribution of the sector to India’s GDP has been on the decline due to increasing issues of pollution and global warming which lead to the concept of sustainable practices in most of the organizations. Many researchers are of the opinion that mining industries are major contributor to pollution of air, water and land; hence, it is important for the mining industries to develop environmentally conscious practices. This paper presents a detailed study of current mining practices in India and finding of different drivers/enablers to develop sustainable practices in mining industry in India. A Multi-Criteria Decision Making (MCDM) approach has been adopted to prioritize the drivers for sustainable development of mining industry.Item Experimental and Numerical Optimization based Approach for Fibre Reinforcement in Rotomolding(ICAME, 2011) Digalwar, Abhijeet K.This study deals with the experimental analysis of fiber reinforcement of rotational molding processes and its numerical model based evaluation. The experiments are carried out to get patterns, using linear low density polyethylene (LLDPE) and glass fiber, to improve its surface finish, strength and hardness. For that design of experiment (DoE) is performed and then various experiments has been conducted. The theoretical optimum value is obtained and is compared with the experimental values. The optimum value by experimental calculations i.e., the weight of LLDPE and weight of fiber, with constant time, is in the permissible error with the theoretical value. This justifies that the experimental designs obtained are of optimum/local optimum value. Furthermore using a random population of points is generated and factors, which can improve the optimum design, are identified and reportedItem On-grid system evaluation for EV charging stations using renewable sources of energy(IEEE, 2020) Digalwar, Abhijeet K.The Indian Automobile Industry is the 5 th largest in the world. India, in its effort to switch to electric vehicles and reduce its carbon emissions, launched the National Electric Mobility Mission Plan 2020 in 2013. It formulated the Faster Adoption and Manufacturing of (Hybrid &) Electric Vehicles in India (FAME India) scheme in 2015 to promote the manufacturing of electric and hybrid vehicle technology and to ensure sustainable growth of the same. However, the adoption rate was not satisfactory. One of the main reasons for the slow pace of adoption of electric vehicles by the customers was the lack of supporting charging infrastructure. In order to plan for charging stations, it is important to forecast the energy demand and design the system using renewable sources of energy. This paper proposes a renewable energy model for charging stations that can be implemented in the pilot city of New Delhi. A software tool, Hybrid Optimization of Multiple Energy Resources (HOMER) is used for the simulation and analysis.Item System Dynamics Approach for the Assessment of Leanness of Organizations(IEEE, 2018) Digalwar, Abhijeet K.Due to highly competitive, volatile and dynamic business environment, lean manufacturing is being seen as a winning strategy by manufacturers. Successful implementation of lean manufacturing can give an edge over their competitors, but during this implementation, they often fail to identify the direction in which the implementation should proceed. In order to help the organizations to progress in the right direction, there is a need to identify the variables and factors that affect the lean implementation process. A system dynamics approach has been applied to analyze the implementation process and help an organization towards becoming an effective lean organization. In this research, 17 variables are identified, through literature review and discussion with practitioners. A causal loop has been developed among the variables using system dynamics approach which represents “enablers” and “results”. This causal loop provides a visual representation of various cause and effect relationships and feedback loops to understand various factors and variables in a better way. It is probably one of the leading attempts to provide road map for implementation and assessment of leanness of organizations.Item A systematic review of the integration of best practices for world class manufacturing(Inder Science, 2021-03) Digalwar, Abhijeet K.Manufacturing organisations are trying to become world class by integrating best practices. While multiple authors have studied world class manufacturing (WCM), no paper consolidates these results. Further certain inconsistencies are found in existing WCM frameworks. A need was therefore felt to clearly identify and define the scope of best manufacturing practices identified from different countries and industries. 173 research papers on WCM were collected from different online databases and reviewed for the purpose of this study. A descriptive analysis was performed to understand the timeline, geographic, author and journal related trends of the papers. Papers were also classified based on content and industry settings. The best practices identified were defined and the popularity of each best practice was evaluated on the basis of number of mentions. The paper finally proposes a new framework for WCM, inspired from the functioning of the human body.Item Application of Fuzzy AHP Approach for Evaluation of Sustainable Energy Sources in India(CRC Press, 2021) Digalwar, Abhijeet K.; Yadav, Shyam SunderEnergy is an essential factor for the socio-economic development of societies and the nation. Energy consumption in India has risen very fast in the last few decades due to industrialization and urbanization. It will further increase in the future. To fulfill the increasing future energy demand, there is a necessity to find out the most sustainable energy source covering environmental, technical, economic, social, political and flexibility criteria. In this analysis both renewable (solar, wind, biomass, hydro) and nonrenewable (thermal, gas power, nuclear) energy sources are considered. Experts’ weight is collected in linguistic terminology and we employed a fuzzy analytical hierarchy process (AHP) approach to analyze the collected weights. By the analysis, solar energy is found as the most sustainable energy source in India. The sustainability order is followed by the wind, hydro, biomass, gas, nuclear and thermal energy respectively. Thermal energy is obtained as a least sustainable energy source in India because of scarcity in the availability of the fuels, a huge increase in fuel price and greenhouse gas emission.Item Analysis of sustainable machining process: A multicriteria decision making approach(AIP, 2019-05) Digalwar, Abhijeet K.The research work presents methods for achieving production sustainability on a machining technology level. To define sustainable production, three pillars of sustainability i.e. environment, society & people, and economic profit, have to be synergistically related. This paper studies sustainability aspects of different sustainable machining techniques like Cryogenic Machining, Drymachining, Minimum quantity lubrication, High pressure jet machining. Sustainability aspects of these machining techniques were compared with the help of multi criteria decision makingmodel AHP&TOPSIS and relative comparison between this machining techniques regarding these aspects were analysedfor finding best alternative to become sustainable manufacturer.Item Application of Fuzzy TOPSIS for evaluating machining techniques using sustainability metrics(IOP, 2017-11) Digalwar, Abhijeet K.Sustainable processes and techniques are getting increased attention over the last few decades due to rising concerns over the environment, improved focus on productivity and stringency in environmental as well as occupational health and safety norms. The present work analyzes the research on sustainable machining techniques and identifies techniques and parameters on which sustainability of a process is evaluated. Based on the analysis these parameters are then adopted as criteria's to evaluate different sustainable machining techniques such as Cryogenic Machining, Dry Machining, Minimum Quantity Lubrication (MQL) and High Pressure Jet Assisted Machining (HPJAM) using a fuzzy TOPSIS framework. In order to facilitate easy arithmetic, the linguistic variables represented by fuzzy numbers are transformed into crisp numbers based on graded mean representation. Cryogenic machining was found to be the best alternative sustainable technique as per the fuzzy TOPSIS framework adopted. The paper provides a method to deal with multi criteria decision making problems in a complex and linguistic environment.Item Identification and analysis of social factors responsible for adoption of electric vehicles in India(IAS, 2021) Digalwar, Abhijeet K.Environmental crisis and energy security concerns have forced researchers to look for a cleaner mode of transportation. Rigorous efforts are on to make electric vehicles (EVs) feasible for commercial use in terms of technological advancements and economic viability. Despite being among the top automobile manufacturing countries in the world, the adoption rate of EVs in India has been poor. There is a need to understand the social acceptability and sustainability of EVs. To bridge this gap, the present study identifies the social factors responsible for slow adoption of EVs in India. The results may help in orienting the manufacturers and decision makers towards faster adoption of EVs. This study will assist researchers to get a better understanding of the factors responsible for slow adoption of EVs in India. The Government of India could benefit in its goal to achieve its ambitious target projected in the FAME India scheme.