Browsing by Author "Digalwar, Abhijeet K."

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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.
Application of AHP and TOPSIS Method for Supplier Selection Between India & China in Textile Industry
(IJERT, 2015-07) Digalwar, Abhijeet K.
Supplier selection, the method of optimizing the appropriate suppliers who will be able to supply the buyer with the right quality products and/or services at the right price, at the right time and in the right quantities,. In other words, supplier selection is a multi-criteria decision making problem which includes both qualitative and quantitative factors. China and India are the top two textile producers in the world. The proceeds from textile and apparel exports have contributed greatly to the economic development of both countries. In order to choose the best suppliers, it is essential to make a trade-off between these tangible and intangible factors, some of which may conflict. The aim of this study is to develop a methodology to evaluate suppliers in supply chain cycle based on Technique for Order Preference by Similarity to Ideal Solution method (TOPSIS). In this paper, we have taken into consideration some important criteria which affect the process of supplier selection, that is, product quality, service quality, delivery time and price. We have calculated the weights for each criterion based on Analytic Hierarchy Process (AHP) and then inputted these weights to the TOPSIS method to rank suppliers. The entire methodology is illustrated with the help of a numerical example and finally the rank of each supplier is determined accor ding to its r esults.
Application of Fuzzy AHP Approach for Evaluation of Sustainable Energy Sources in India
(CRC Press, 2021) Digalwar, Abhijeet K.; Yadav, Shyam Sunder
Energy 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.
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.
Assessment of optimal fuel and drive mix for automobile sector decarbonization in India: a scenario analysis of 2035
(Springer, 2025-08) Digalwar, Abhijeet K.
The rapid growth of predominantly fossil fuels powered automobiles in India results in harmful greenhouse gas emissions (GHG), environmental challenges like air pollution and health hazards. Hence, India is adopting alternate low-emission fuels like compressed natural gas (CNG), biofuels, promoting zero-emission technologies like fully electric vehicles (FEVs), pursuing options like hybrid vehicles (HEVs), and hydrogen-powered vehicles (HPVs). These solutions must encompass reliability, cost-effectiveness, circularity, and mainly optimality. This study addresses above challenges, aligns with India’s upcoming nationally determined contribution (NCD 3.0) and decarbonization policy till 2035 and derives an optimal alternate fuels/drive mix, It adopts a time-series forecasting and machine learning (ML) for vehicle inventory projections, constructs a scientific model, includes six relevant cost and benefit factors, evaluates eleven scenarios using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, derives an optimal mix and verifies its robustness through sensitivity analysis. The optimal mix for 2035 indicates a reduction in the share of fossil fuels (50%) with healthy improvement in the adoption of FEVs (40%), BFVs (8.4%), CNGVs (0.6%), HEVs (0.5%), and HFVs (0.5%). This shift toward cleaner solutions will enable reduction of around Rs 3.6 trillion in fuel imports and 54% of GHG emissions compared to current levels, enabling mitigating environmental challenges. Unlike energy sector, India lags in studies of optimal fuel / drive mix for automobile sustainability. This study addresses above gap, providing critical insights to policymakers, industry, and academia for fine tuning automotive decarbonization policies, toward achieving net zero by 2070.
Development and validation of performance measures for world class manufacturing practices in India
(World Scientific, 2007) Sangwan, Kuldip Singh; Digalwar, Abhijeet K.
This paper aims to develop and validate performance measures for world class manufacturing (WCM) in Indian context that could be used by managers/ practitioners in assessing and improving their manufacturing performance. Using a thorough synthesis of the world class manufacturing literature, sixteen performance measures — top management commitment, knowledge management, employee training, innovation and technology, employee empowerment, environmental health and safety, supplier management, production planning and control, quality, flexibility, speed, cost, customer involvement, customer satisfaction, customer services and company growth — of world class manufacturing and their 89 variables have been developed. Using the data obtained from a survey of manufacturing industries in India, the identified performance measures were subjected to appropriate statistical tests to establish reliability and validity. Statistical computing package SPSS 11.5 for Windows was used for reliability and validity analysis. The validated instrument of world class manufacturing measures developed here may be used by manufacturing organizations to prioritise their management efforts to assess and implement WCM. The validated results are in Indian context, however, the instrument developed can be used in global context.
Development and validation of quality management constructs for software industries: an empirical investigation from India
(Inder Science, 2014-03) Digalwar, Abhijeet K.
Quality management (QM) is a powerful technique for managing, monitoring, analysing and improving the operational performance. Various studies have been done in the manufacturing and service sectors to find out the relation between quality management practices and operational performance. Very little studies are found from software industries. The aim of this paper is to present results of a survey on QM in the software industries. The focus is on understanding the critical success factors (CSFs) for successful implementation of QM in the software industry. In total, 12 critical success factors (CSFs) with 114 variables were developed from the literature and discussions with software quality professionals. To validate the data obtained from a survey of software industries in India, reliability and validity analysis was carried out. These results provide an increased understanding of how to better implement QM in the software industry, and provide managers with improved guidelines for identifying the most important factors that will lead to success. Indian software companies are leading exporters to Europe and the USA. Considering the growth of the Indian software industry and increased inclination towards acquiring quality certifications and quality improvement techniques, a better understanding of the implementation of QM can provide companies with a stronger competitive advantage.
Development of Assessment Model for Selection of Sustainable Energy Source in India: Hybrid Fuzzy MCDM Approach
(Springer, 2020-07) Digalwar, Abhijeet K.
The development of India is continuously affected due to some severe issues of the energy crisis and greenhouse gas emission. To overcome or minimize these problems, India should increase the share of sustainable energy sources in an overall generation. Therefore, this work aims to develop a model for the selection of the most sustainable energy sources in India. The model is developed using integrated multi-criteria decision-making (MCDM) approach to deal with the number of conflicting and uncertain criteria. The developed model has a unique combination of seven energy alternatives, six criteria, and their related twenty-six sub-criteria. The weights were collected using linguistic terminology to avoid any kind of incomplete or vague information. Fuzzy Analytic Hierarchy Process (F-AHP) was employed to make a pairwise comparison and to obtain the weights of the considered criteria and sub-criteria. Fuzzy Weighted Aggregated Sum Product Assessment (F-WASPAS) used for the ranking of the energy alternatives. Result shows that economic criterion has the highest weight, followed by the environmental and technical criterion. Solar energy obtained as the most sustainable alternative energy source in India. Wind energy was chosen as the second-most sustainable alternative energy source, followed by the hydro and biomass energy. Sensitivity analysis was performed by changing the values of λ coefficient. Results were compared and validated with three other well-known MCDM approaches of VIKOR, TOPSIS, and PROMETHEE - II.
Development of fuzzy PROMETHEE algorithm for the evaluation of Indian world-class manufacturing organisations
(Inder Science, 2016) Digalwar, Abhijeet K.
Establishing a performance-oriented evaluation in manufacturing sectors is the key to successful administrations and further improvement. However, because of lacking relative comparable measuring standards, it is difficult to measure the relative performance of one organisation while comparing to other organisations with regard to the multiple criteria decision making (MCDM) of performance evaluation. This paper aims to focus on the evaluation of world class manufacturing (WCM) practices in Indian manufacturing sectors. The algorithm in this paper is based on the concept of fuzzy set theory and the PROMETHEE. This algorithm is then applied to three heavy engineering sector organisations in India. These organisations are ranked according to their WCM practices.
Driving synergy: can TOC, lean, and six sigma integration work without flexibility?
(Academy of Management, 2025-06) Digalwar, Abhijeet K.
This study aims to empirically assess the combined impact of Theory of Constraints (TOC), Lean Manufacturing (LM), and Six Sigma (SS) – collectively known as TLS – on business performance in Indian manufacturing companies. Importantly, it investigates the role of manufacturing flexibility in influencing this relationship. Using a structured survey, data were collected from a diverse sample of Indian manufacturing companies. The study employs statistical techniques including Partial Least Square-Structural Equation Modelling (PLS-SEM) for model measurement, multiple regression analysis to test the influence of TLS on various performance metrics and hierarchical regression analysis to explore the moderating role of manufacturing flexibility. The results indicate that the implementation of TLS significantly improves business performance across several dimensions, including productivity, quality, and operational efficiency. Companies that have effectively integrated TLS into their operations report greater performance gains compared to those using individual or partial methodologies. Moreover, manufacturing flexibility is found to strengthen the relationship between TLS implementation and business performance, suggesting that companies with higher flexibility can better leverage TLS for enhanced operational outcomes. This study is among the first to empirically validate the impact of TLS integration on business performance in the context of Indian manufacturing. It also contributes to the existing literature by exploring the role of manufacturing flexibility, a factor that has received limited attention in previous research. The findings provide a robust framework for manufacturing companies seeking to implement TLS and highlight the strategic importance of flexibility in achieving operational excellence.
Empirical investigation and validation of sustainability indicators for the assessment of energy sources in India
(Elsevier, 2021-07) Digalwar, Abhijeet K.
Continuously increasing population, industrialization and urbanization drastically lead to the destruction of natural resources and fossil fuels. Therefore, for energy security and a clean environment, there arises a need to tap sustainable energy sources on a large scale. The evaluation of sustainable energy sources depends on sustainability indicators. To know the indicators from the Indian perspective, the present work initially identifies the indicators through a literature survey and discussions with experts. Further, a survey needs to be conducted to identify the effective criteria from Indian perspectives. For the survey, 93 indicators are categorized into 15 main factors. Academicians, environment experts, industry experts, experts from NGO, engineers, and investors from India are selected to give their opinions about the importance of the indicators according to their usability, practices and relevancy from Indian perspectives. The survey results are then ranked the indicators from highly unsuitable to highly suitable category based on the sustainability importance index (SII). The present study results on twenty-six highly suitable indicators only. These indicators are mainly corresponding to the economic, technical, environmental, social, political, and flexible factors. The analytically and statistically validated sustainability indicators are further employed for the evaluation of most sustainable energy sources in India. The outcome of this study will be helpful for the policy and decision makers, to formulate diverse energy strategies which in turn will contribute for sustainable development of the country.
Evaluation of critical constructs for measurement of sustainable supply chain practices in lean-agile firms of Indian origin: A hybrid ISM-ANP approach
(Wiley, 2020-01) Digalwar, Abhijeet K.
The purpose of this paper is to evaluate the critical criteria that are influencing the successful implementation of sustainable supply chain practices (SSCP) in the lean-agile manufacturing firm. From the systematic literature review and field professionals' opinion, various criteria that are influencing sustainable supply chain were identified. Data were collected from 16 experts and analysed by an integrated approach of “interpretive structural modeling (ISM) and analytic network process (ANP).” ISM methodology was utilized to get a hierarchical relationship between all criteria. Further, the input to the ANP matrices was taken from the output of ISM, and three organizations that differ in their principle of operation were ranked to find out the extent of implementation of SSCP in the Indian context. The obtained results indicate that “Information technology-enabled system support (ITS), SC member's awareness and literacy (SAL), Societal issues (SIS), and Scarcity of natural resources (SNR)” were most significant constructs for successful implementation of SSCP for the case organizations.
Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach
(Elsevier, 2021-06) Digalwar, Abhijeet K.
In this paper, conventional and renewable energy sources for sustainable development of energy sector in India are evaluated from multiple perspectives including economic, technical, social, environmental, political, and flexible criteria. An integrated Shannon’s entropy multi-criteria decision making (MCDM) method has been used for the evaluation and assessment of these sources. Thermal, gas, nuclear, solar, wind, biomass, and hydro energy options are used as the alternatives in the decision model. Shannon’s entropy method is applied to determine the weights of decision criteria, and fuzzy analytical hierarchy process (AHP) method is applied to prioritize sustainable energy alternatives. The output of the proposed model was compared with six different fuzzy MCDM techniques for the establishment of correlation index. Solar energy was shown to be particularly well suited for India followed by wind and hydro energy sources. Later, the study has developed fourteen scenarios, considering the first five sustainable energy sources (solar, wind, hydro, biomass, and gas power), to evaluate the optimal energy mix scenario for the sustainable development of energy sector in India. An optimal energy mix scenario carries the heroic development of solar, wind, and hydro energy with cross border import-export facility for the time frame of the year 2030.
Evaluation of energy sources based on sustainability factors using integrated fuzzy MCDM approach
(Emerald, 2021-01) Digalwar, Abhijeet K.
The purpose of this paper is to develop an integrated fuzzy multi-criteria decision-making (MCDM) model for evaluation of the energy alternates in India based on their sustainability.
Evaluation of Factors for Sustainable Manufacturing of Electric Vehicles in India
(Elsevier, 2021) Digalwar, Abhijeet K.
This paper aims to develop and validate the factors affecting the sustainable manufacturing of electric vehicles in India that could be used by original equipment manufacturers and service providers in the electric vehicles industry. Based on a thorough synthesis of the literature on electric vehicles, seven factors – technological, social, cultural, economic, political, geographical, environmental – of sustainable manufacturing of electric vehicles and corresponding 67 variables have been developed. The validated instrument of factors affecting the sustainable manufacturing of electric vehicles may be used by original equipment manufacturers, service providers and new players keen on entering the electric vehicle market to assess the potential areas of development in the electric vehicles industry. Insights gained from this evaluation can be helpful for EV engineers in incorporating customers’ purchase intention into the engineering design. The validated results are in the Indian context, however, the instrument developed can be used in the global context as well.
Evaluation of world-class manufacturing systems: a case of Indian automotive industries
(Inder Science, 2008-06) Digalwar, Abhijeet K.; Sangwan, Kuldip Singh
Many industries are implementing World-Class Manufacturing (WCM) systems to compete in the global market. However, the researchers in the area of WCM have not paid much attention to the techniques/methodologies for the evaluation of WCM systems. This paper presents a set of validated critical success factors and their performance variables for WCM industries. The reliability and validity analyses were carried out by using the SPSS? 11.5 statistical tool on the data obtained from the Indian automotive industries. A multiattribute decision model, i.e., Performance Value Analysis (PVA), was developed for the evaluation of WCM systems. The usefulness of the model is demonstrated using a case situation of the Indian automotive industry. By utilising this model, it is expected that managers/decision makers will acquire sufficient confidence in evaluating world-class automotive industries.
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 reported
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.
Green manufacturing performance measures: an empirical investigation from Indian manufacturing industries
(Emerald, 2013-11) Digalwar, Abhijeet K.
The purpose of the paper is to explore the performance measures for the green manufacturing practices in the Indian manufacturing industries.
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.