Qualification: 
Ph.D, M.E
m_suresh@cb.amrita.edu

Dr. Suresh M., an enthusiastic, dedicated teacher who thrives on the intellectual challenge of keeping a step ahead of highly motivated students. He has over eight years of experience in industry (operations and projects). He holds a Ph.D. in Project Management from the Indian Institute of Technology Bombay and Masters in Industrial Engineering from PSG College of Technology, Coimbatore, India. Before Joining Amrita School of Business, he has been working as Corporate Trainer in the area of Project Management at Larsen & Toubro Limited. During his tenure at L&T, he has trained 1000’s of project executives in the area of project management. He is trained and interested to teach in the areas of Project Management, Multi-Criteria Decision Making, Lean and Agile Manufacturing Systems, Supply Chain Management, Production and Operations Management, etc. His research mainly focuses on Healthcare Project Management, Healthcare Operations Management, Sustainable Operations Management, Lean and Agile Systems. He has several international publications on his credit in areas related to Operations Management

Education

  • Ph. D., Indian Institute of Technology Bombay, Project Management, 2012
  • M. E., PSG college of Technology, Anna University Chennai, Industrial Engineering, 2007

Ongoing Research

  • Ongoing work includes projects on topics such as Lean and Agility in Healthcare; Agility and Sustainability in Higher Education; Agility in IoT projects; Agility in Automation Projects.

Presentations

  • Madhan, K., & Suresh, M. (2016, May). Leanness assessment using fuzzy logic approach: A case of Indian cooperative bank. In Advanced Communication Control and Computing Technologies (ICACCCT), 2016 International Conference on (pp. 341-346). IEEE.
  • Suresh, M., & George, J. (2015, December). Study of the lighting sources of street vendors in Kerala and their willingness to switch to solar lanterns. In Computational Intelligence and Computing Research (ICCIC), 2015 IEEE International Conference on (pp. 1-4). IEEE.
  • Suresh, M., & Mohan, D. (2015, December). Service quality and its impact on user satisfaction in Indian University Library. In Computational Intelligence and Computing Research (ICCIC), 2015 IEEE International Conference on (pp. 1-3). IEEE.
  • Ganesh, J., & Suresh, M. (2015, December). Safety practice level calculation in Indian manufacturing company using fuzzy logic approach. In Computational Intelligence and Computing Research (ICCIC), 2015 IEEE International Conference on (pp. 1-4). IEEE.
  • Suresh, M., Bid, K., & Gunasekar, S. (2015, December). Inbound international tourism development in India: A panel data analysis on its affecting factors. In Computational Intelligence and Computing Research (ICCIC), 2015 IEEE International Conference on (pp. 1-4). IEEE.
  • Suresh, M. (2015, March). Selection of new product: A case of Clay-Pot-Refrigerator. In Industrial Engineering and Operations Management (IEOM), 2015 International Conference on (pp. 1-9). IEEE.
  • Sridharan, V., & Suresh, M. (2016, December). Environmental sustainability assessment using multigrade fuzzy—A case of two Indian colleges. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-4). IEEE.
  • Abinaya, R., & Suresh, M. (2016, December). Analyzing the drivers for lean practices of commercial banking using interpretive structural modelling. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-4). IEEE.
  • Prabhu, B. S. V., & Suresh, M. (2016, December). Applications of solar lantern systems—A review. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-4). IEEE.
  • Ganesh, J., & Suresh, M. (2016, December). Safety practice level assessment using multigrade fuzzy approach: A case of Indian manufacturing company. In Computational Intelligence and Computing Research (ICCIC), 2016 IEEE International Conference on (pp. 1-5). IEEE.

International Conference Chair

  • Session Chair, International Conference on International Business Scenario in Indian Context”, organised by Department of Management Studies, Sacred Heart College, Tirupattur, Tamil Nadu, India,2014.
  • Session Chair, IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, India 2016.

Research Awards

  • Best Paper With Student First Author (Prabhu, B. S. V), IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Chennai, India 2016.

Fellowships and Grants

  • Awarded MHRD scholarship during Masters in Industrial Engineering for the years 2005-2007
  • Awarded IIT Bombay Fellowship for Doctor of Philosophy in the year of 2007-2011
  • Qualified for Graduate Aptitude Test in Engineering exam in the year of 2005

Teaching Experience (MBA Programme)

  • Data Analytics-II (Operations Research)
  • Production & Operations Management
  • Project Management
  • Manufacturing Systems
  • Multi Criteria Decision Making
  • Bacis of Supply Chain Management

Teaching Experience (M.Tech., Programme)

  • Project Management

Teaching Experience (PhD., Programme)

  • Research Traditions in Operations Management
  • Lean and Agile Systems

Professional Affiliations

  • Member, International Society of Multiple Criteria Decision Making
  • Life Member, Indian Institute of Chemical Engineers, Kolkatta, India.

Service Activities

  • Editorial Board Memberships
    • International Journal of Six Sigma and Competitive Advantage (2018-present)
  • Ad Hoc Reviewer:
    • International Journal of Production Research
    • Journal of Health Organization and Management
    • Asia-Pacific Journal of Operational Research
    • Operations Research Perspectives
    • International Journal of Industrial and Systems Engineering
    • International Journal of Health Policy and Management
    • International Journal of Healthcare Management
    • OPSEARCH

Publications

Publication Type: Journal Article

Year of Publication Title

2019

R. Patri and Dr. Suresh M., “Agility in Healthcare Services: a Systematic Literature Exploration”, International Journal of Services and Operations Management, vol. 32, pp. 387-404, 2019.[Abstract]


The objective of this study is to present a systematic literature review of agility in health care covering the essence of published articles, limitations and future research avenues. Its contribution to the body of knowledge is twofold. First, it classifies the literature based on seven parameters: year, country, research method, results, context, limitations and future research direction to provide an overview of the accomplished research works. Second, it highlights the research gap in the current literature and provides direction for future research. The findings suggest that the extant literature has not been able to obtain a strong theoretical grounding in the field, and validation of the proposed theories, models and frame work awaits future research attention. Thus the lack of extensive exploration of agile literature gives way to a vast area of exploration for future research.

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2019

M. Patil and Dr. Suresh M., “Make in India - a Great Path Forward for Operational Excellence and Cost Reduction Opportunities for Electronics Industry”, International Journal of Indian Culture and Business Management, vol. 18, pp. 218-234, 2019.[Abstract]


Electronic device industry in India is growing with increase of demand in local and overseas market. Many top semiconductor MNCs have their design houses located in India, however boards/systems are preferred to be manufactured either in China, Taiwan and Malaysia. Rising manufacturing costs in China enabling India as alternate destination. Currently design centres from India support both chip design and validation activities for products delivered across the world. Indian government's 'Make in India' initiatives promote industry players to come up with plans to invest in India. In this study we attempt to establish new engagement model to enable EMS partner in India for IoT and other sectors. If companies manufacture boards in India, the schedule and cost can be brought down drastically. Moreover engaging local EMS partner starting from the design phase of product reduces the overall cost, improves execution speed and brings agility to the system.

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2019

M. Patil and Dr. Suresh M., “Modelling the Enablers of Workforce Agility in IoT Projects: A TISM Approach”, Global Journal of Flexible Systems Management, vol. 20, pp. 157–175, 2019.[Abstract]


IoT projects can be categorized as high technology with an extremely dynamic product development lifecycle. To be a leader under such conditions, organizations need to focus priorities on achieving shorter product development cycle along with organization agility and workforce agility. Many researchers have tried to identify the enablers that affect workforce agility in different segments, but none has really looked into the IoT project environment. In this paper, efforts are taken to model the enablers of workforce agility in IoT projects and to understand the interrelationship among enablers using total interpretive structural modelling. The current study makes an attempt to provide a hierarchical structure representing the driving enablers and the dependent enablers and to give the order of enablers with respect to influence on workforce agility. Results indicate that employee proactivity, innovativeness, resiliency skills and ownership or self-motivation bring agility in the workforce. These enablers help employees to act in all decision-making situations to achieve IoT organization goals faster.

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2019

Dr. Suresh M., S, G., and Raghu Raman, “Modelling the Factors of Agility of Humanitarian Operations”, International Journal of Agile Systems and Management (Accepted)., 2019.

2019

Vaishnavi V. and Dr. Suresh M., “A Study on the Influence of Factors Associated with Organizational Readiness for Change in Healthcare Organizations using TISM”, Benchmarking, 2019.

2017

R. Patri and Dr. Suresh M., “Modelling the Enablers of Agile Performance in Healthcare Organization: A TISM Approach”, Global Journal of Flexible Systems Management, vol. 18, pp. 251–272, 2017.[Abstract]


This study attempts to model the enablers of agility of healthcare organizations and interprets the interrelationship among them using total interpretive structural modelling (TISM). Its contribution to the knowledge base is twofold. First, it provides a hierarchical structure portraying the driving enablers and the dependent enablers. Second, it ranks the enablers based on their influence on organization agility. To accomplish the above objectives, ten enablers of organization agility have been identified through an extensive literature review followed by an expert interview to comprehend the interactions and transitivity between the enablers and finally an analysis of the interrelationship using TISM. The results suggest that organizational structure is the most crucial enabler of agile performance in healthcare organization. Apart from that, a motivated and flexible workforce, cooperation between management and employees, availability of training and implementation of employee and patient's suggestion play a significant role in healthcare organization agility. Eventually, limitations and future research avenues have been outlined to extend the current study.

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2017

Dr. Suresh M. and Patri, R., “Agility assessment using fuzzy logic approach: a case of healthcare dispensary.”, BMC Health Serv Res, vol. 17, no. 1, p. 394, 2017.[Abstract]


<p><b>BACKGROUND: </b>Agile concepts are not only beneficial for manufacturing sector but also for service sector such as healthcare. However, assessment of agility has been predominantly done in manufacturing enterprises. This study demonstrates a means to measure agility of a healthcare organization by assessing agility of a university dispensary. Its contribution to the knowledge base is twofold. First, it proposes a means to measure the agility of a healthcare organization and second, it identifies the attributes that prevent agile performance and outlines the suggestive measure to enhance its agile capabilities.</p><p><b>METHOD: </b>A case study approach has been adopted and fuzzy logic has been employed to measure the agility of the case dispensary. At first, the measures of assessment which include four enablers, fifteen criteria and forty-five attributes have been identified from the literature and rated by the experts indicating the importance of the measures in the assessment. Then, the case dispensary has been assessed on those measures by collecting observed performance rating from decision makers. At last, Fuzzy logic has been applied on the performance rating data to analyze and interpret the agile capability of the dispensary.</p><p><b>RESULTS: </b>The findings suggest that transparent information flow, adequate salary and bonuses for caregivers, reading error in medical descriptions, in house/nearby pathology laboratory services, technical up-gradation of dispensary equipments and facilities, minimization of patient throughput time and adequate training programme for safety practices are the attributes that weakens agile capability of the University dispensary. The current agility of the dispensary was found to be 'Agile' which is average in relation to the agility labels.</p><p><b>CONCLUSION: </b>Attributes such as transparent information flow, adequate salary and bonuses for caregivers, elimination of reading error in medical descriptions, in house/nearby pathology laboratory services, technical up-gradation of dispensary equipments and facilities, minimization of patient throughput time and adequate training programme for safety practices are extremely crucial for enhancing agile capability of a healthcare organization.</p>

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2017

R. Patri and Dr. Suresh M., “Factors influencing lean implementation in healthcare organizations: An ISM approach”, International Journal of Healthcare Management, pp. 1-13, 2017.[Abstract]


Healthcare organizations implement lean practices to improve service quality and competitive advantage. It eliminates the process waste leading to improved healthcare service at a reduced cost. This study attempts to analyse the relationship among the factors that influence implementation success using Interpretive Structural Modelling (ISM). Its contribution to the body of knowledge is twofold. First, it provides a hierarchical structure displaying the driving and dependent factors. Second, it ranks the factors affecting the implementation success based on the degree of influence. The factors have been identified by taking inputs from existing literature and expert opinion. The conceptual relationship among the factors has been determined by conducting a survey among healthcare professionals and the final analysis has been done using ISM. The findings suggest that leadership is the most crucial factor for a successful implementation. Apart from this, having a clear goal in advance for the project and adequate training of the workforce are instrumental in lean intervention. Finally, limitation and future research avenues have been outlined to extend the current study. © 2017 Informa UK Limited, trading as Taylor &amp; Francis Group

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Publication Type: Conference Paper

Year of Publication Title

2017

K. Renganath and Dr. Suresh M., “Analyzing the drivers for safety practices using interpretive structural modeling: A case of Indian manufacturing firms”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Safety measures are the ones to increase the level of safety or rather are control measures, to alleviate the physical destruction by the formulated safety policies or visual management practices or through physical signage. Two factors which determine the impact of non-existence of safety practices in any organization are economic repercussions and large humanitarian. This is particularly prevalent among the manufacturing firm which holds a track record of maximum illness and injury rate for the past couple of years. This outlays the importance of safety in any organization. The contemporary trend of manufacturing firms is that, the safety practices that exist in the organization or in the shop floor is aligned with the very nature of its business or the way its operations run. This gives us a limited understanding on safety implementation in those firms. This paper primarily focuses upon identifying the most important drivers that are rudimentary for improvement of safety practices. This paper makes use of interpretive structural modeling whose output elucidates two important components namely, driving power and dependence power. Driving power is the level of prominence that each driver has got in importance in the safety practice improvement. Dependence power is the level of interdependency between them. © 2016 IEEE.

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2017

K. Renganath and Dr. Suresh M., “Supplier selection using fuzzy MCDM techniques: A literature review”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Supplier selection for an organization is a strategic decision which follows the practice of contemporary supply chain management of evaluating the potential supplier's by taking into consideration multiple criteria's for supplier evaluation. Finalizing a supplier for an organization is a complex issue and lots of uncertainties are involved with a compulsion to choose the best supplier among the provided alternatives. Fuzzy multi criteria decision making techniques will come in handy to deal with the qualms challenged, which eventually leads in picking up the best supplier for the elementary functioning of the organization. This article presents a comprehensive bibliographic study about the supplier selection using fuzzy logic through numerous approaches. Thus it gives a clear view on how the supplier selections are carried out by using various fuzzy and hybrid fuzzy algorithm in various sectors. This review indicates that the FTOPSIS approach is used by many researchers for their supplier section model. © 2016 IEEE.

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2017

S. Keerthana and Dr. Suresh M., “Drivers influencing lean practices in street food vending process”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Street food was considered to provide nutrients to the urban and rural populations at an affordable price. The street food sector is considered to be located at the bottom of the pyramid market structure, where most of the customers' demand is for the low-priced consumer goods and farm fresh agricultural goods. In this paper, various lean drivers are systematically captured and their relationship between the drivers are analyzed using Interpretive Structural Modeling for the street food sector. This model infers, the customer relationship management driver is ranked in the first level and hence should be given the highest importance followed by food service management and cost management drivers in the successive rank levels. © 2016 IEEE.

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2017

A. B. Venkatesh and Dr. Suresh M., “Factors influencing Indian tourism promotion in social media”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Social media in India has become an essential tool for the successful information dissemination and publicity of a piece of information intended to be promoted in public. This paper analyses the impact of social media on Indian tourism outlining the success factors required for promotion of Indian tourism. The results of our study suggest that consumers are engaged in social networks for tourism trips and sharing the travel experience is one of the most important factors that influence the success of tourism promotion. The factors in our study have been identified through the literature review and the expert opinion. The experts chosen for the study are tourism operators in south India. We use Interpretative structural modeling to analyze the interrelationship between the factors. This study results indicates, tourist destination is the most key influencing factors for Indian tourism promotion in social media. © 2016 IEEE.

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2017

T. M. Sudharsan and Dr. Suresh M., “Factors influencing purchase decision of solar lanterns by street vendors”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


The purpose of this study is to analyze the various factors that influences the purchasing decision on solar lanterns by street vendors, identify driving and dependent factors and understand the influence of marketing variables and its effect on purchase of solar lanterns by street vendors. A conceptual model has been developed using interpretative structural modeling(ISM) to identify the critical factors that influence the purchase of solar lanterns by street vendors and this study also attempts to find the relationship between purchasing factors based on buying power and buying intention of street vendors. The factors are identified through literature survey and expert interviews. The results indicate that institutional and fire hazards are the most crucial factors for the purchase decision of solar lanterns by street vendors. © 2016 IEEE.

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2017

R. Abinaya and Dr. Suresh M., “Analyzing the drivers for lean practices of commercial banking using interpretive structural modelling”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Banking is one of the continuously growing service sectors in India. Banking efficiency improvement through optimization of banking processes is crucial. The concepts of lean management principles are a set of practices followed to achieve continuous process improvement through waste minimisation. This paper identifies and analyses the set of drivers which are instrumental in bringing about the lean practices in a bank. This paper makes use of the Interpretive Structural Modelling approach to identify the relationship between the drivers and their degree of influence on the banking processes. This model inferred that the general management leanness is ranked in the first level and hence should be given the highest importance followed by process management leanness and continuous improvement leanness in the successive rank levels.

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2017

B. S. V. Prabhu and Dr. Suresh M., “Applications of solar lantern systems-A review”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Use of renewable energy sources in India is growing at a faster pace. There is also a paradigm shift from conventional to renewable sources in energy sector. Out of the 180 million rural households in the country, nearly 43 percent still use kerosene as the primary fuel for lighting. Kerosene-based lighting devices are not a desirable option for several reasons such as poor quality of light, risks of indoor fire hazards and health issues etc. Solar lantern is a better alternative in terms of quality of illumination, durability and versatility of use. In this paper, we attempt to study the applications of solar lanterns in different areas of the society and their advantages over other traditional sources of lighting.

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2017

J. Ganesh and Dr. Suresh M., “Safety practice level assessment using multigrade fuzzy approach: A case of Indian manufacturing company”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Safety emphasis in manufacturing organizations is given prior importance compared to traditional manufacturing practices. This paper discusses about safety practice index calculation using multi grade fuzzy approach. A conceptual model has been developed for calculation of safety index. Usage of Fuzzy logic gives a unique advantage of being compatible and having a clear quantitative computation avoiding bias. Factors which affect the safety level of an organization is identified. Major impacting factors include organizational commitment and information integration. Usage of computational techniques in manufacturing organization makes information available to every employee in organization transparently. Research scope is limited to current manufacturing standards which are on practice and addition of variables can be done accordingly to change in practice standards. A case study test is computed to a manufacturing organization to ensure the effectiveness of the formulation. It revealed most important factor in driving safety level of organization is their auditing procedures. Improvement actions for the organization under study are also proposed. Although there is adequate facilities available to enhance safety practice in manufacturing organization, implementation of safety practices is most important and difficult process.

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2017

V. Vignesh and Dr. Suresh M., “Factors influencing lean practices in Super market services using interpretive structural modeling”, in 2016 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2016, 2017.[Abstract]


Lean service is more important as it is a concrete mixture of tools and practices which when applied according to the situations faced that would certainly improvise the same ensuring the generation of financial and economic outcomes. Due to its evolution, lean is being implemented in service industries for attaining a competitive edge as well as high customers' satisfaction. There is a current necessity in service industries to improve the level of services being offered to the customers. This research work extensively focusses on developing a framework for identifying and analyzing the main factors involved in the practices of lean in Super Market services through the deployment of Interpretive Structural Modeling (ISM) framework. © 2016 IEEE.

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2016

K. Madhan and Dr. Suresh M., “Leanness assessment using fuzzy logic approach: A case of Indian cooperative bank”, in Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies, ICACCCT 2016, 2016, pp. 341-346.[Abstract]


This paper explores about the use of enablers, criteria and attributes as a conceptual model to assess the leanness level of the banking organization. The twofold objectives are set to be achieved through this paper. First is to find the leanness level of a banking organization for which a cooperative bank has been selected as the case company. Second is to find the critical obstacles for the lean implementation. The fuzzy logic computation method is used to extract the perceptions about the particular variables by using linguistic values and then match it with fuzzy numbers to compute the precise value of the leanness level of the organization. This is a first attempt to evaluate the leanness level of the cooperative bank and this study will partially fulfill the gap in literature review, also the opportunities for the further research is indicated. Based on the results obtained from this analysis, it was found that the case study bank has performed in the fairly lean range and the weaker areas have been identified to improve the performance further. © 2016 IEEE. More »»

2015

Dr. Suresh M., “Selection of new product: A case of Clay-Pot-Refrigerator”, in IEOM 2015 - 5th International Conference on Industrial Engineering and Operations Management, Proceeding, 2015.[Abstract]


Clay-Pot-Refrigerator is a Pottery article to cool vegetables and keep them safe and fresh without shrinkage. Pot-Coolers are produced by the potters' clusters, like village potter's association in different regions of India. Pottery clusters are developing a new model of Clay-Pot-Refrigerator based on the naturally available terracotta clay. Decision-making problems in new model/product selection often involve a complex decision-making process in which multiple requirements and conditions have to be taken into consideration simultaneously. The objective of this paper is to select the best Clay-Pot-Refrigerator model using Complex Proportional Assessment (COPRAS) of alternatives with Grey relations method. The best Clay-Pot-Refrigerator model will be helpful to potters clusters to improve their production on the particular model Pot to meet the customers' expectation. An extended presentation of the data and results of the case analysed is proposed in order to show the characteristics of the product model and performance of the COPRAS of alternatives with grey relations method. © 2015 IEEE. More »»

2015

J. Ganesh and Dr. Suresh M., “Safety practice level calculation in Indian manufacturing company using fuzzy logic approach”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.[Abstract]


This article discusses about how the variables affect the safety practice level of employees in a manufacturing organization. Brief gap analysis study is made between existing standard in calculating safety practice level index of the organization, and the proposed model of safety index. Left out variable in existing standard is added in proposed model of calculation of safety practice index. A new model is proposed to calculate safety practice level for manufacturing organization considering the expert opinion in manufacturing organization. Fuzzy logic technique is used to calculate safety practice attributes and indexed variables which affect the safety level is approached through weighted scale method. Fuzzy algorithm model helps the users to calculate dependent variable much faster than other techniques. Considering the complexity, which is involved in independent variables affecting safety practice level of organization, fuzzy technique gives easier calculation process. The paper discusses variables which were stipulated to safety standards taken in to consideration. With the usage of fuzzy logic technique affecting variable's magnitude is calculated and improvement actions are taken accordingly. Research scope is limited to that stipulated company standard. © 2015 IEEE.

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2015

Dr. Suresh M., Bid, K., Dr. Sangeetha G, and N., K., “Inbound international tourism development in India: A panel data analysis on its affecting factors”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.[Abstract]


Tourism is a fast and continuous growing industry. Tourism generates new employment opportunities and it is a significant source of foreign exchange earnings for the country. Foreign exchange earnings generated through the inbound international tourism plays a significant role in the India's economic growth. This paper identifies the factors influencing the inbound tourist demand in Indian states and union territories using panel data analysis (fixed-/random effects model) technique. The paper spans over 3 years (2010 to 2012) and across 35 states and union territories. The paper indicates that literacy rate, consumer price index, number of tourist operators, and presence of domestic, international or metro airport in states has a significant impact in determining the foreign tourists demand in Indian states. © 2015 IEEE.

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2015

Dr. Suresh M. and George, J., “Study of the lighting sources of street vendors in Kerala and their willingness to switch to solar lanterns”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.[Abstract]


This paper attempts to assess solar power as an alternate power source for street vendors in the Kerala, India. The street vendors in India represent about 3% of the total non agricultural population in India. Provision of a clean and cheap source of lighting for them is important. Traditionally they use kerosene or take the aid of the street light. This paper attempts to find out the feasibility and readiness of the street vendors to accept an alternate source of lighting and particularly on solar lantern. Also this study attempts to find out the various characteristics and parameters on lighting sources of street vendors. In this paper, the willingness of the street vendors to switch to an alternate source is also explored through a questionnaire based survey. The conclusive observations indicate that the solar lanterns are very feasible alternative source of lighting for the street vendors; and they have exhibited willingness to shift over to the solar lanterns. More »»

2015

Dr. Suresh M. and Mohan, D., “Service quality and its impact on user satisfaction in Indian University Library”, in 2015 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2015, 2015.[Abstract]


Nowadays the technology is improving in a fast pace and the service sector is getting widely boomed. Consumers who are giving prior importance to quality consider several factors for choosing the service. Among them the service rendered by academic libraries also matter a lot because of the growth of digital libraries. The objective of this paper is to find factors which are more important for assuring the service quality in University Library. A case study has been conducted in a university library located in India. The SERVQUAL tools along with other parameters are considered for measuring the services. The focus is also given to emerging digital libraries. The questionnaire is developed to know the perceptions of students in University. The present study allows the librarians to benchmark their library with the current values of the dimensions of service quality. After detailed assessment and critical evaluation on all aspects of the case university library, the paper puts forward valuable and applicable suggestions to improve the current service quality status of the university library. © 2015 IEEE. More »»

Publication Type: Book Chapter

Year of Publication Title

2016

Dr. Suresh M. and Vignesh, V. •, “Lean in Service Industries A literature review”, in IOP Conference Series: Materials Science and Engineering , vol. 149, IOP Publishing, 2016.