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Dr. Muhammad Imran
Assistant Professor
Operations & Supply Chain Management

National University of Sciences and Technology (NUST)
NUST Business School, H-12 Sector, Islamabad
Tel : +92-51-90853214

Production & Operation Management, Operation Research, Business Simulation, Supply Chain Management, and Project Management

Ph.D Industrial Management Engineering (Hanyang University, South Korea) MS Industrial Engineering (University of Engineering and Technology, Taxila, PAK) BS Industrial and Manufacturing Engineering (University of Engineering and Technology, Lahore, PAK)

Dr. Muhammad Imran is a specialist in Production and Operations Management, Operation Research, Business Simulation, and Supply Chain Management. He has teaching experience in Production Systems, Heuristics, and Total Quality Management. Besides this, he has been working as an ERP consultant in various small medium enterprises (SME’s) in Pakistan and successfully executed lean, six sigma, and decision supported ERP system projects in SME’s. He completed his PhD in Industrial Management Engineering from Hanyang University South Korea in 2019 and joined NBS as an Assistant Professor.

Dr. Muhammad Imran has published research papers in international/national journals in following domains. 

  • Production/services systems
  • Operations Management
  • Operation Research
  • Business Simulation
  • Supply Chain Management
  • Project Management​ 
  • Journal publications

    • ​Ramzan, M, Babar., SM, Qureshi., Sonia, Irshad Mari., MS Memon., Mandeep Mittal., Imran, M., Waqas, Iqbal  (2018). Effect of Time-Varying Factors on Optimal Combination of Quality Inspectors for Offline Inspection Station. Mathematics  (Accepted)SCIE (IF:000)
    • Imran, M., Kang, C., & Ramzan, M. B. (2018). Medicine supply chain model for an integrated healthcare system with uncertain product complaints. Journal of Manufacturing Systems, 46, 13-28. SCIE  (IF: 3.699)
    • Kang, C. W., Ramzan, M. B., Sarkar, B., & Imran, M. (2018). Effect of inspection performance in smart manufacturing system based on human quality control system. The International Journal of Advanced Manufacturing Technology, 94(9-12), 4351-4364.​ SCIE  (Impact Factor: 2.601)
    • Imran, M., Kang, C., Lee, Y. H., Jahanzaib, M., & Aziz, H. (2017). Cell formation in a cellular manufacturing system using simulation integrated hybrid genetic algorithm. Computers & Industrial Engineering, 105, 123-135.  SCI  (Impact Factor: 3.195)
    • Imran, M., Kang, C. (2017). A Synchronized Job Assignment Model for Manual Assembly Lines Using Multi-Objective Simulation Integrated Hybrid Genetic Algorithm (MO-SHGA). Korean society of industrial Engineering Journal, 40, 211-220. 
    • Sahar, O., Latif, M. A., & Imran, M. (2017). Machine learning technique for the evaluation of efficinecy of the software reliability growth models. Gomal University Journal of Research [GUJR], 33(1). 
    • Imran, M., Iqbal, N., & Jahanzaib, M. (2014). Minimization of intercellular movements in cellular manufacturing system using genetic algorithm. University of Engineering and Technology Taxila. Technical Journal, 19(2), 16. 


    • Imran, M., Kang C., (2018). Development of decomposition based extended ARIMA method and its application in SCM. Australia-Korea Research Seminar, Hanyang University, South Korea. 
    • Imran, M., Kang C., (2018). Multi-Objective Scheduling of Multi-Projects: A Simulation-Optimization   Model. Korean society of industrial Engineering conference Changbuk National University, South Korea. (Best paper award)
    • Young-Soo Park. Sun-Geun Lee. Imran, M., Chang-Wook Kang (2018). Improvements for Ranking Method-Based Selection Methods of Government supported R&D projects. 6th International Conference on Big Data Applications and Services (BIGDAS2018) Hotel Le Meridien, Zhengzhou, Henan, China
    • Imran, M., Kang C., (2017). Multi-Objective Job Assignment Model for Manual Assembly Lines Incorporating Skill Level of Labor and Teamwork.  Korean society of industrial Engineering conference, Daejeon South Korea   (Best paper award) 
    • Imran, M., Kang C., (2017). Synchronized Assembly Line Model: A Simulation Optimization Approach. International Army Modeling and Simulation Education Conference Daejeon South Korea 

    Dr. Muhammad Imran has teaching expertise in following subjects

  • Quality management and quality control
  • Design and analysis of production systems
  • Operations  Management
  •  Operation research
  • Inventory and warehouse management
  • Logistics and transportation
  • Business simulation & optimization
  • Project management   
  • March 2016 - Dec 2018: ​Research ​Associate, Statistical engineering and advance quality lab Hanyang University, Ansan, South Korea
    • Job description: Actively participated in R&D projects related to Production, SCM, Simulation-Optimization, and project management   

    August 2015 - Feb 2016: ERP consultant, Comet sports, Sialkot, Pakistan
    • Job description: Developed and implemented a Decision Supported Production Planning ERP module)

    April 2015 - August 2015: Planning Engineer, Hansa Leather Garment, Sialkot, Pakistan
    • Job description: Successfully completed following projects; Lean implementation (specifically 5S in packing department); Line balancing and production planning for production unit

    August 2013 - Feb 2015: Teaching Assistant/Research AssistantDepartment of Industrial Engineering, University of Engineering and Technology Taxila, Pakistan
    • Job description: Participated in various research projects related to production systems and worked as teaching assistant in following courses

    Meteorology and quality control  (5th semester IE department)

    Instrumentation and control (8th semester IE department)