Qualification: 
Ph.D
Email: 
pg_saleeshya@cb.amrita.edu

Dr. Saleeshya P. G. received both her M. Tech. and Ph. D. in Industrial Engineering and Operations Research from IIT Bombay. Her dissertation was titled, "Agile Manufacturing Systems --- An Investigative Study." She has numerous publications at national and international levels, and a total of 20 years experience in industry and academia. Her research is mainly focused on the area of operations strategy: agile manufacturing (especially agility in automotive industries), lean manufacturing in continuous manufacturing systems, responsive supply chains and lean 6-sigma.

EDUCATION

YEAR DEGREE/PROGRAM INSTITUTION
1988 B.Tech in Mechanical Stream Industrial Engineering College of Engineering Trivandrum

1999

M.Tech in Industrial Engineering and Operations Research IIT-Bombay
2005 PhD in A Study on Agile Manufacturing Systems Guide- Prof. A.Subash Babu, Professor, Department of Mechanical Engineering, IIT-Bombay IIT-Bombay

Areas of Interest 

  • Agile Manufacturing
  • Lean Manufacturing
  • Cellular Manufacturing
  • Reconfigurable Manufacturing
  • Supply Chain Management/ Responsive supply chain
  • Quality Management

Publications

Publication Type: Journal Article

Year of Conference Publication Type Title

2016

Journal Article

P. Raghuram and Dr. Saleeshya P.G., “Assessing the responsiveness of supply chain -structural equation modelling based approach”, International Journal of Logistics Systems and Management, vol. 25, pp. 558-579, 2016.[Abstract]


Companies worldwide have now realised that 'customer focus' is what wins the game. As demands of the customer become more and more volatile and unpredictable, they have to stay ahead of their competitors in fulfilling the needs of the customer. The supply chain as a 'unit' has to compete against other supply chains for reaching out and delighting the customer. Responding fast to the changing customer needs has been an intangible factor underlying a successful business. Thus, responsiveness of the supply chain has become the differentiator between the competing supply chains. In this paper, the end-to-end supply chain factors influencing responsiveness are identified from extant literature and a model of responsiveness of the supply chain has been developed by conducting a survey of 204 pump manufacturers. The developed model has been validated through confirmatory factor analysis using structural equation modelling. These findings can help to identify the areas of improvement for the supply chain and may lead to a focused improvement in these areas thus improving responsiveness and profitability. More »»

2015

Journal Article

Dr. Saleeshya P.G., Sneha, Ab, Karthikeyan, Cc, Sreenu, Cd, and Rohith, A. Ke, “Lean practices in machinery manufacturing industries - A case study”, International Journal of Logistics Systems and Management, vol. 20, pp. 536-554, 2015.[Abstract]


<p>Lean manufacturing is an emerging concept in the Indian manufacturing scenario. Many small and medium scale enterprises in the country are aiming at becoming lean and thereby improving their productivity. This paper is an outcome of a case study in one such enterprise that deals with the manufacturing and assembly of offset printing machinery in India. Being a vendor-based organisation, part shortage due to delays in the process was a major problem faced. A thorough analysis of the various vendors and processes that the product goes through was done and the process flow was mapped to obtain a clear picture of the entire system, and software modelling helped arrive at quantitative results. Lean tools like Pareto analysis, five-why analysis, source inspection, etc., were used to identify and eliminate the various factors that led to delay. Proper scheduling of jobs is also essential to reduce waiting time, and therefore an algorithm has been developed to help arrive at an optimum scheduling sequence. The results from this case study have proved successful in reducing the lead time of the component under study. Copyright © 2015 Inderscience Enterprises Ltd.</p>

More »»

2015

Journal Article

Dr. Saleeshya P.G. and Sachin, Bb, “Modelling and analysis of an agile supply chain”, International Journal of Productivity and Quality Management, vol. 15, pp. 486-510, 2015.[Abstract]


This paper is an outcome of a study carried out in five manufacturing industries. Based on the literature review, field study and industry study a multi-level model which constitute the enablers of agile supply chain, the factors which are identified as the sources of driving force of these enablers has been developed. This model also identifies the business performance indicators (BPIs) of a manufacturing system. The objective of this paper is to identify the most important enablers of agile supply chain and the driving forces behind these enablers in an organisational system. By identifying these factors and forces, an organisation can channel its resources in the most effective way in order to enhance the achievement potential of its different BPIs. Multiple regression and Gauss elimination method are identified as suitable tools for analysis in this study. Copyright © 2015 Inderscience Enterprises Ltd.

More »»

2015

Journal Article

Dr. Saleeshya P.G. and Anirudh, S., “A bi-level approach to frequency optimisation of public transport systems”, International Journal of Business Innovation and Research, vol. 9, pp. 608–630, 2015.[Abstract]


In this study, we concentrate on one of the three major areas of the whole transit network design problem that being the frequency setting. The main problem addressed here is the minimisation of losses borne by a public state transport corporation in India. This is achieved by optimally allocating resources to shared routes already in existence. The bus frequency setting problem is solved using a bi-level methodology. In the first level minimum required fleet size for the routes are found out by considering the routes individually. In the second level with the guarantee of load feasibility, allocation of frequencies is done for the fleet size found in the first level. This is done by also taking into consideration the achievement of minimisation of operational cost of the routes under consideration as added objectives. The relation between the operations cost and the maintained frequencies are found out using artificial neural network (ANN), and the second level is solved using a multi objective genetic algorithm (GA). This methodology has been used in optimising two shared routes and the results are thus presented.

More »»

2015

Journal Article

Dr. Saleeshya P.G. and Bhadran, A., “Productivity improvement through lean initiative in a surgical equipment manufacturing company: a case study”, International Journal of Business and Systems Research, vol. 9, pp. 297–314, 2015.[Abstract]


The paper presents a case study conducted at a surgical equipment manufacturing company, where productivity improvement can be achieved by reducing the lead time required to manufacture their product. Using an important lean tool value stream mapping (VSM) the various wastes that are held up at each stage of manufacturing is identified, from which the most critical waste has been selected using a cost-time profile (CTP). Then a model is developed and solved using regression analysis. Based on the values obtained a cost-time profile is drawn again and compared, which reveals that there is nearly a 50% increase in the overall productivity.

More »»

2015

Journal Article

Dr. Saleeshya P.G., J., D. Krishna.C., and U., M. Krishna, “Study and Analysis of Sea Port Operations and Productivity Improvement by Optimized Berth Utilization”, International Journal of Business Innovation and Research(IJBIR), 2015.

2013

Journal Article

Dr. Saleeshya P.G., Austin, Db, and Vamsi, Nc, “A model to assess the lean capabilities of automotive industries”, International Journal of Productivity and Quality Management, vol. 11, pp. 195-211, 2013.[Abstract]


Changing customer and technological requirements force manufactures to develop lean capabilities. Many organisations have adopted lean thinking paradigm in their drive to optimise performance and improve competitive position. In this paper, the application of lean production systems is described in an automotive context. The results reported are based on the data collected from a survey covering around 15 manufacturing companies in India using a standard questionnaire. The study was driven by a conceptual model which relates lean practices to competitive objectives. The method of analytic hierarchy process (AHP) was used to analyse and identify which among the various lean production tools and enablers are likely to have greater impact on realising a lean production system. © 2013 Inderscience Enterprises Ltd.

More »»

2012

Journal Article

Dr. Saleeshya P.G., Thampi, K. Sb, and Raghuram, Pa, “A combined AHP and ISM-based model to assess the agility of supply chain-a case study”, International Journal of Integrated Supply Management, vol. 7, pp. 167-191, 2012.[Abstract]


An agile supply chain corresponds to the quick responsiveness of an organisation to ever changing market demands without compromising on cost and quality of the product. The textile industry is one such industry having a volatile market demand. This paper is an outcome of a case study conducted in a leading spinning industry in South India. Various enablers and determinants of agility were identified through literature review, field study and industry study. Based on the findings of these studies a multi-level model was developed and the suitability of this model to improve the agility of supply chain was tested. For this, two methodologies - analytical hierarchy process (AHP) and interpretive structural modelling (ISM) were identified as suitable tools. The analysis of the results of AHP and ISM methodologies provide the industry an insight on how the supply chain can be made more agile. Further, the model provides the top management a clear vision of the practices to be implemented and the improvement methods to be adopted by the company for an effective management of supply chains in spinning industries. Copyright © 2012 Inderscience Enterprises Ltd. More »»

2012

Journal Article

Dr. Saleeshya P.G., Raghuram, P., and Vamsi, N., “Lean manufacturing practices in textile industries–a case study”, International Journal of Collaborative Enterprise, vol. 3, no. 1, pp. 18–37, 2012.[Abstract]


Lean manufacturing is a philosophy of eliminating waste through continuous improvement. This paper is an outcome of a case study conducted in a textile industry in south India. Though the concept of lean manufacturing has shown good results in continuous process industry, it has not been extensively used as compared to discrete manufacturing industries. Process industries, especially textile industries, have automatic machinery which are highly inflexible and have high volume/low variety products. This nature of the textile industry makes implementing lean manufacturing techniques a challenge; hence implementing lean techniques in a textile industry has been taken up as a challenge. We have chosen a combination of value stream mapping (VSM), 5S, kanban, kaizen, poka-yoke, and visual controls to improve the processes. The achievement potential scores before and after lean implementation has been highlighted using radar diagrams. The findings of this study reveal that a thorough analysis of the process, setup, and changeover time (CO), use of colour coding for identification of volume-mix, use of kaizen and quality circles which empower the workforce, are some of the various keys to a successful lean implementation in a textile industry.

More »»

2012

Journal Article

Dr. Saleeshya P.G., A Babu, S., and Vishnu, A. S., “Agility in Indian Manufacturing Industries: an Empirical Investigation”, International Journal of Indian Culture and Business Management, vol. 5, pp. 208–232, 2012.[Abstract]


This paper reports the salient details of a study carried out with the objectives of identifying what makes an organisation agile, identifying various enablers of agility by field study, developing a modelling framework for assessing agility and assessing agility in Indian manufacturing industries. For this purpose, data were collected from Indian manufacturing industries with the help of a questionnaire. The method of analytic hierarchy process was used to analyse and identify which among these factors are likely to have greater impact on realising an agile organisation. This study revealed a number of interesting observations, which are reported in this paper.

More »»

2012

Journal Article

Dr. Saleeshya P.G. and A Babu, S., “A combined AHP-and DEA-based approach to measure agility of manufacturing systems”, International Journal of Business and Systems Research, vol. 6, pp. 431–455, 2012.[Abstract]


This paper is related to a real life study carried out in Indian manufacturing organisations to assess the extent to which the agile manufacturing paradigm is recognised and deployed, as this paradigm has been a major objective of many companies. A multi-level framework developed by the authors, along with a questionnaire was used to identify various enabling factors of agility in Indian manufacturing industries. This model helps to determine the measure of agility called ‘Effectiveness Index’ (EI) at the various hierarchical levels of an organisation. In this paper we propose an approach to measure the agility of manufacturing systems by combining the analytical hierarchy process (AHP) and the data envelopment analysis (DEA) methodologies. The method of AHP was used to identify important agility enablers by deriving appropriate weights (Importance Index). DEA was used to compare and find out the priorities of various units of organisations by making use of the values of EI and Importance Index for agility.

More »»

2011

Journal Article

Dr. Saleeshya P.G., Babu, AbSubash, and Vishnu, A. Sc, “A model to assess the agility of manufacturing organisations: Systems approach and application”, International Journal of Productivity and Quality Management, vol. 8, pp. 265-295, 2011.[Abstract]


To achieve the status of an agile manufacturer, organisations need to clearly understand the concept of agility related to their industrial and business circumstances and then identify and acquire the appropriate characteristics, which will result in an agile manufacturing organisation. This paper is related to a real-life study carried out in Indian manufacturing organisations to assess the extent to which the agile manufacturing paradigm is recognised and deployed, as this paradigm has been a major objective of many companies. With the help of literature study and a preliminary study of selected industries, a framework was developed which in its schematic form captures and depicts the efforts an organisation may have to put in a concerted manner to enhance its agility. This framework was used to develop a questionnaire with which a survey of Indian manufacturing industries was carried out. The data collected through this questionnaire was analysed by the model developed by the authors. This model helps to determine the measure of agility called effectiveness index for agility at the various hierarchical levels of an organisation. This paper reports the salient details of the model and how it was applied on the data collected from the industry survey. © 2011 Inderscience Enterprises Ltd.

More »»

2011

Journal Article

Dr. Saleeshya P.G. and A Babu, S., “Application of goal programming to manage agility in manufacturing systems”, International Journal of Agile Systems and Management, vol. 4, pp. 222–237, 2011.

Publication Type: Conference Proceedings

Year of Conference Publication Type Title

2015

Conference Proceedings

Dr. Saleeshya P.G. and Thomas, T., “AHP based study on diversion of lean manufacturing practices in industries”, international Conference on Mechanical and Manufacturing Engineering, (ICMME’2015). pp. 052-058, 2015.

2014

Conference Proceedings

Dr. Saleeshya P.G. and Bhadran, A., “Productivity improvement through lean initiave:-a case study”, International Conference on Advances in Engineering, Technology, and Science (ICAETS 2014). pp. 55-59, 2014.

2014

Conference Proceedings

Dr. Saleeshya P.G. and Harikrishnan, M., “Modeling and analysis of manual assembly plant layout for effective transportation of materials”, International Conference on Advances in Engineering, Technology, and Science (ICAETS 2014) . pp. 132-134, 2014.

2012

Conference Proceedings

Dr. Saleeshya P.G. and Raghuram, P., “Modeling a responsive supply chain through exploratory factor analysis”, 12 th International consortium of students in management (COSMAR). Department of Management Studies, Indian Institute of Science, Bangalore, p. 64, 2012.

2006

Conference Proceedings

Dr. Saleeshya P.G. and A. Babu, S., “Systematic assessment of agility in Indian manufacturing industries”, ICAM. UK , 2006.

2002

Conference Proceedings

Dr. Saleeshya P.G. and A Babu, S., “A multilevel modeling framework to assess the agility in manufacturing systems”, 20th AIMTDR Conference Proceedings, BITS Ranchi. pp. 682-690, 2002.

1999

Conference Proceedings

Dr. Saleeshya P.G., Nandurker, K. N., A. Babu, S., and Rangaraj, N., “GT( Group Technology ) in Indian Manufacturing Industries” an investigative study ”, 15 th International Conference on Production Research (ICPR). pp. 1279-1282, 1999.

Publication Type: Book Chapter

Year of Conference Publication Type Title

2014

Book Chapter

Dr. Saleeshya P.G., “Optimization Approaches to Assess Manufacturing Agility”, in Encyclopedia of Business Analytics and Optimization, vol. 3, Montclair State University , USA, jointly with Harvard’s Institute for Quantitative Social Science, 2014, pp. 598-607.

2014

Book Chapter

Dr. Saleeshya P.G., “Empirical Approaches to Assess Manufacturing Agility”, in Encyclopedia of Business Analytics and Optimization, vol. 2, 2014, pp. 256-267.

Reviewer

  1. Acting as reviewer of International Journal of Manufacturing Systems-Elsevier
  2. International Journal of Business Systems and Research (IJBSR)
  3. European Journal of Management (EJM) Elsevier
  4. European Journal of Operations Research (EJOR) Elsevier
  5. Universal Journal of Marketing and Business Research
  6. Journal of Research in International Business and Management
  7. African Journal of Business Management

Editorial Board Member

  • International Journal of DATA sciences, Inderscience
  • Member Board of Studies- B. Tech Mechanical Engineering, M. Tech  Manufacturing  Engineering, Amrita Vishwa Vidyapeetham
  • Member of various Doctoral Committees

Membership in Professional Bodies

  • Life member ISTE
  • SAE India Western Region
  • IIT Bombay Alumni Association

Dr. Saleeshya is an examiner and question setter for PhD, masters and under graduate programs in many universities such as Usmannia University, Hyderabad; Mumbai University; Pune University; M. G. University, Kerala; Cochin University; Amrita Vishwa Vidyapeetham; Anna University, Coimbatore. She is currently guiding two PhD’s in Amrita University in the areas of Responsive Supply Chain Management and Lean Manufacturing Systems. She has also guided several M.Tech. and B. Tech. projects.

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