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Dr. Ashish Raj

Postdoctoral Researcher & Assistant Professor, Supply Chain Management · Indian Institute of Management (IIM) Mumbai, Mumbai, Maharashtra, India · Mumbai

IMPARC ID IMP-MM-MGMT-MH-IN-2026-2379

Member since 2026

Expertise
  • Production & Operations Management
  • Business Analytics
  • Machine Learning
  • Decision Science
  • Industrial Engineering
  • Risk Management
  • Supply Chain & Logistics
Mentorship offered
  • Operations Consulting
  • Scientific and Technical Consulting
  • Business Strategy Consulting
  • Product Validation
  • Big Data Analytics
  • Statistical Analysis
  • Data Visualization
  • Algorithm Design ? ML (Machine Learning)
  • Predictive Modeling
  • Scientific and Technical Research
  • Technology Scouting
  • Feasibility Study
  • Technical Writing

Mode: Hybrid · Capacity: More than 5 researchers

Academic links

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About

Ashish Raj is a researcher, academician, and operations & supply chain analytics specialist with expertise in Q-commerce supply chains, logistics optimization, machine learning, game theory, inventory management, urban retail systems, risk-resilient supply chains, and analytical modelling. He completed his Ph.D. in Operations & Supply Chain Management from IIM Mumbai and is associated as a Postdoctoral Researcher at the Technical University of Munich, Germany. He has academic and consulting experience across logistics, retail optimization, business analytics, supply chain resilience, and sustainability-driven operational systems. His research work has been published in internationally reputed journals including International Journal of Production Economics and Transportation Research Part E. He has also contributed to consulting projects for Sankara Eye Foundation India and Syngene International Ltd. focusing on performance benchmarking, optimization modelling, procurement strategy, and supply chain efficiency.

Publications 8

Journal articles

  • Ashish Raj & Debabrata Das (2025). Optimizing Q-commerce Delivery: Unravelling the Interplay of Fee, Penalty, and Rider-Platform Collaborative Efforts. International Journal of Production Economics.
  • Ashish Raj, Debabrata Das & Tadeusz Sawik (2026). Mitigating Disruption Impact in Q-commerce through Optimization of Dark Store Resilient Portfolio. Transportation Research Part E: Logistics and Transportation Review.
  • Anshul Balamwar, Ashish Raj, Rony Mitra, Debabrata Das, Manoj Kumar Tiwari & Vittaldas Prabhu (2026). BPMN-Driven AI Framework for Simulation Model Generation and Performance Modelling for Supply Chain Networks. 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA).

Conference papers

  • (2025). Optimizing Collaborative Strategies between Q-Commerce Company and Multi-channel Retailer by Integrating Limited Trust Equilibrium. 11th IFAC Conference on Manufacturing, Modelling, Management and Control, IFAC Conference CommitteeIFAC Conference Committee.
    Peer-reviewed (not in the indexes above)
  • (2024). Optimal Coordination between Q-commerce Companies and Retailers by Integrating Limited-trust Equilibrium. 51st International Conference on Computers and Industrial Engineering (CIE51), UNSW Sydney, UNSW Sydney.
    Peer-reviewed (not in the indexes above)
  • (2024). Integrating Reinforcement Learning with CVaR for Optimizing Dark Store in Q-commerce Supply Chain. International Conference on Emerging Trends in Business Analytics and Management Sciences & 57th Annual Convention of ORSI, IIT Bombay.
    Peer-reviewed (not in the indexes above)
  • (2023). Mitigating Disruption Impact in Q-commerce through Dark-Store Optimization. POMS India International Conference, XLRI Jamshedpur.
    Peer-reviewed (not in the indexes above)
  • (2023). Co-ordination and Collaboration between Q-Commerce Company and Delivery Riders: A Game Theoretic Approach. POMS India International Conference, XLRI Jamshedpur.
    Peer-reviewed (not in the indexes above)

Experience

  1. Postdoctoral Researcher – Logistics and Supply Chain Management

    Technical University of Munich, Munich, Bavaria, Germany

    July 2026 - June 2027

  2. Doctoral Research Scholar – Operations & Supply Chain Management

    Indian Institute of Management (IIM) Mumbai, Mumbai, Maharashtra, India

    June 2021 - December 2025

  3. Assistant Professor

    Tata Institute of Social Sciences (TISS), Mumbai, Maharashtra, India

    February 2026 - April 2026

Education

  • 2021 - 2025

    Doctor of Philosophy (Ph.D.) in Operations & Supply Chain Management, Operations & Supply Chain Management

    Indian Institute of Management (IIM) Mumbai, Mumbai, Maharashtra, India

  • 2019 - 2021

    Master of Technology (M.Tech.) in Structural Engineering, Civil Engineering / Structural Engineering

    Indian Institute of Technology (IIT BHU), Varanasi, Uttar Pradesh, India

  • 2014 - 2018

    Bachelor’s in Engineering (B.E.) in Civil Engineering, Civil Engineering

    Birla Institute of Technology Mesra, Ranchi, Jharkhand, India

Supervision & projects

  • Thesis · Modelling and Analysis of Q-Commerce Supply Chain

    2021

    Completed
  • Thesis · Seismic Analysis of an Open Ground Storey Building

    2019

    Completed
  • Dissertation · Urban Retail, Inventory Management, Optimization and Risk-Resilient Supply Chain Models

    Technical University of Munich, Germany · 2026

    Ongoing
  • Funded project · Performance Benchmarking Study Across Multiple Hospital Centres

    Sankara Eye Foundation India · Research Consultant · August 2025 - January 2026

    Completed
  • Funded project · Cost Optimization for Direct Materials Across Biologics Projects

    Syngene International Ltd. · Research Consultant · September 2025 - October 2025

    Completed

Awards

  • Publication in International Journal of Production Economics

    Elsevier · 2025

  • Publication in Transportation Research Part E

    Elsevier · 2026

  • Second Place in Marathon

    Fit India & IIM Mumbai · 2024

  • Certificate of Achievement for Organizing Ph.D. & New Faculty Colloquium-2024

    Institute of Industrial and Systems Engineers · 2024

  • Reviewer – International Journal of Production Research (IJPR)

    Journal Editorial Board · 2025

Events & training

  • Certification Course · Berlin School of Economics and Law, Germany

    Modelling and Building Supply Chain Twins using anyLogistix

  • Certification Course · MIT, USA

    Business and Operation AnalyticsBusiness and Operation Analytics

  • Certification Course · University of Southern California, USA

    Artificial Intelligence for Robotics: Applications in Manufacturing and Logistics

  • Certification Course · Clemson University, USA

    Deep Learning in Logistics

  • Certification Course · Northwestern University, USA

    Social Network Analysis & its Applications

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