Operations Management and Systems Engineering

This book comprises select peer-reviewed contributions from the 6th International Conference on Production and Industrial Engineering (CPIE - 2019). The volume focuses on latest research in the field of Industrial and Systems Engineering, and its allied areas. Articles on variety of topics such as Human Factors Engineering, Lean Manufacturing, Six Sigma, Logistics and Supply Chain Management, Operations Research, Quality Engineering, Measurement and Control, Reliability and Maintenance Engineering, Green Supply Chain Management, Modelling and Simulation, Sustainability, Technology Management, Agile and Flexible Manufacturing, Technology Management and Computer Aided Manufacturing are discussed in this book. Given the range of topics covered, the book will be useful for students, researchers, and professionals interested in different areas of Industrial and Systems Engineering.

Auteur
Dr. Anish Sachdeva is a Professor in Industrial and Production Engineering Department at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. He obtained his B.Tech from Dr B R Ambedkar National Institute of Technology (erstwhile REC Jalandhar), M.Tech from Guru Nanak Dev Engineering College Ludhiana and Ph.D. from Indian Institute of Technology Roorkee (India). He has over 23 years of industry and teaching experience. He has guided 60 M Tech and 12 PhD students, presently supervising 02 M.Tech and 06 PhD scholars. He has over 135 publications in international and national journals and proceedings of international conferences to his credit. He has organized five international conferences at NIT Jalandhar as organizing secretary and many short-term courses in his area of expertise. He has organized several workshops and training programs for academic institutes and companies. He has published three special issues of International journal of Manufacturing Technology Management (Emerald Publications) as guest editors. His areas of interest are reliability and maintenance engineering, supply chain management, optimization and simulation of production systems, quality management.
Dr. Pradeep Kumar is working as a full Professor in the Department of Mechanical & Industrial Engineering at Indian Institute of Technology, Roorkee, India. He obtained his B.E. (Industrial Engineering) in 1982; M.E. (Production Engineering) in 1989; and Ph.D. in Manufacturing and Production Engineering in 1994- all these degrees from University of Roorkee (Now, IIT Roorkee). He has been a visiting faculty at West Virginia University USA, Wayne State University USA, AIT Bangkok, and King Fahd University of Petroleum and Minerals, Saudi Arabia. He served the Delhi Technological University as Vice-Chancellor during 2014-15. He has published / presented 580 research papers in International and National Journals (286); and proceedings of International and National Conferences (294). He has completed 43 consultancy projects of various organizations and 18 sponsored research projects (16 completed and 2 ongoing) in India and 1 sponsored project in USA. He has 4 patent disclosures. His research interests include advanced manufacturing processes; microwave joining of metals, metal casting; industrial engineering; supply chain management (SCM),quality engineering; and production & operations management.
Dr. O P Yadav is working as a full time Professor and Interim Department Chair, Industrial and Manufacturing Engineering, North Dakota State University, Fargo. He obtained his B.E. (Mechanical Engineering) from Malviya National Institute of Technology, Jaipur in 1986; M.Sc. (Industrial Engineering) from National Institute of Industrial Engineering, Bombay in 1992; and Ph.D. (Industrial and Manufacturing Engineering) from Wayne State University, Detroit (USA) in 2002. He has published more than 120 scientific papers in international journals and conferences of high repute and edited more than 15 books and proceedings. He has successfully completed 29 fully funded research & consultancy projects. His research interests include quality and reliability engineering, production & operations management, supply chain (logistics), inventory modeling, lean manufacturing, quantitative modeling, statistical analysis, fuzzy logic and neural networks.
Dr. R K Garg is Professor in Industrial and Production Engineering Department at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. His areas of interest are non-traditional machining, supply chain management, industrial management and systems dynamics. He holds a B.Sc. Engg. (Hons.) Degree in Mechanical Engineering from Regional Engineering College Kurukshetra, and M.E. degree (Hons.) in Industrial Engineering and a Ph.D. from Thapar Institute of Engineering and Technology Patiala (India). He has over 28 years of industry and teaching experience. He has guided 47 M Tech and 13 PhD candidates for pursuing their PhD degree. He has over 138 publications in international and national journals and proceedings of international conferences to his credit. Dr Rajiv Kumar Garg is a reviewer of many international journals, Associate Editor of Global Journal of Flexible Systems Management (Springer), and also Chief Editor of International Journal of Machining and Machinability of Materials (IJMMM). Dr Garg has organized four international conferences at NIT Jalandhar as Chairman and Convener.
Dr. Ajay Gupta is Associate Professor in Industrial and Production Engineering Department at Dr. B. R. Ambedkar National Institute of Technology Jalandhar, India. His areas of interest are Theory of Constraints, Operations Research and Statistics. He did his...

Contenu
Process and instrument for visual inspection of mechanical components for imperfections evaluation in land removal equipment.- Development of Computer Aided System to Generate Tool Path for Single Point Incremental Forming Process using MATLAB.- A novel method for spindle radial error measurement using laser pointer and digital camera.- Measuring TQM Awareness in Indian Hospitality Industry.- Sustainable Supplier Selection and Order Allocation considering Discount Schemes and Disruptions in Supply Chain.