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Vacancy

Multi Criterion Decision Making (MCDM) techniques for Academic Researchers

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Programme Introduction

Faculty Development Program on Multi Criterion Decision Making (MCDM) techniques is designed for early researchers, academicians and management students to impart knowledge and skill sets required to apply MCDM techniques in their respective research areas. This program shall be the blend of theoretical understandings and hands-on practice.  

Programme Objectives

  • To offer a comprehensive exploration of specific Multi-Criteria Decision-Making (MCDM) methods and their utilization in research endeavours.
  • To empower participants with practical skills via interactive exercises, real-world examples, and the application of MCDM tools like AHP, DEMETAL, ISM, TOPSIS, WINGS and Fuzzy and Neutrosophic techniques.

Program Contents

  • MCDM Introduction and Contribution to Academic Research
  • Analytical Hierarchal Processing (AHP)
  • Interpretive Structural Modeling (ISM)
  • PROMETHEE Method
  • Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
  • Decision-Making Trial and Evaluation Laboratory (DEMATEL)
  • WINGS
  • Integration of Fuzzy and Neutrosophic with above methods

Programme Methodology

Typically, participants will get 75% input in lab session and 25% input through class discussion and demonstration of the tool.

Dates & Duration of the Programme

June 24-26, 2024  (10AM-12PM & 12:30PM - 2:30PM on each day)

Particulars

Fees for Online

Faculty Members

2360

Students/Research Scholars

1180

Corporate Executives

4720

Gst@18% included in fee amount, as applicable.

Programme Director

Prof. Sourabh D. Kulkarni

Assistant Professor, Operations Management Area, FORE School of Management, New Delhi

Fellow, Indian Institute of Management (IIM), Mumbai (Erstwhile NITIE Mumbai)

M.Tech (Industrial Engineering)

Prof Sourabh is working as Assistant Professor in the Operations Management area. He holds his masters (M. Tech) and Fellow (Doctoral) degree in the Industrial Engineering and Manufacturing systems. Prior joining academia, Sourabh has developed integrated Lean-TPM-TOC model for productivity improvement of Indian auto-ancillary firms. Sourabh has published his research in the international journals such as- International Journal of Production Research (IJPR), Business Process Management Journal (BPMJ), Research in Transportation Business & Management, International Journal of Human factors and engineering (IJHFE), International Journal of management concepts and philosophy (IJMCP), International Journal of Global business and competitiveness (IJGBC). Sourabh is also serving as Associate Editor for JGBC and Abhigyan, management journal of FORE. Apart from the editorial commitments, Sourabh is also serving as the reviewer for various international and national journals of repute.

Prof. Sumeet Kaur

Professor, Operations Management Area, FORE School of Management, New Delhi

PhD, Saurashtra University

M.Phil (Statistics); M.Sc (Statistics, triple Gold medalist); B.Sc (Statistics) - Gujarat University

She has over 19 years' research and teaching experience. She has conducted Management Development Programs on topics like applications of qualitative techniques in competence mapping, simulation techniques and assignment problems, operations excellence, supply chain management, advanced excel techniques for managers of public and private sector. She has organized workshops on Decision Sciences and its management applications. She has conducted Faculty Development Program on topics like SPSS and Research Methods, Multivariate Data Analysis, Machine Learning and Analytics using R. She has also been involved in case development with Maruti True Value, Blind People Association, Indraprastha Apollo Hospitals which are published in European Case Clearing House (ECCH). She has research and consulting interests in Reliability and Life testing, Business Forecasting, Managerial Decision Making, Quantitative Techniques in Advanced Marketing Research, etc. She teaches courses on Business Statistics, Business Analytics, Multivariate Data Analysis and Advance Business Statistics in Big Data associated with University of California, Riverside

For registration/enquiries, please mail to exed@fsm.ac.in or call at +91 9810875278 /+91-11-41242477

 

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