About

Stanley Lim is a Postdoctoral Scholar at the W.P. Carey School of Business, Arizona State University. He recently completed a Ph.D. in Supply Chain Management from Cambridge University. He is deeply interested in examining operational issues at the interface between retail supply chain management and end-consumers. At present, Stanley focuses his attention on understanding the economics of distribution services, covering "5As," namely accessibility of location (retail store density), availability (inventory contract structure), product assortment (online food market platform), assurance of product delivery (last-mile distribution), and ambience (showrooms) decisions. These areas comprise the five core services retailers provide to lower consumers' search and transaction costs. As part of his research efforts, he has worked with Amazon U.K., Tesco, Ocado, Alliance Boots, Argos, T2 Tea, and Unilever, amongst others. Stanley has been a visiting scholar at the W.P. Carey School of Business, and at MIT.

   His research has won best paper awards, including the 2016 Harry Boer Best Student Paper and 2018 Chris Voss Highly Commended Paper at the EurOMA Conference, and 2018 Meritorious Paper (Industrial Logistics) awarded by the Chartered Institute of Logistics and Transport (CILT). In addition, his research activities are partly funded by the 2016 ( Top Award ) and 2018 Henry Spurrier Scholarships and the You Poh Seng Research Grant, which are honors competitively awarded by the CILT and Singapore University of Social Sciences, respectively. Stanley has also worked on a project funded by the U.S. Department of Agriculture.

   Stanley is on the job market and is available for interview at DSI (Chicago) and INFORMS (Phoenix) annual meeting.

Background

Before embarking on his Ph.D. studies, Stanley spent several years in the defence industry in varying roles, rising to become Head Engineering and Operations Group at the Ministry of Defence. Previous roles included Intelligence Analyst, Human Resources Manager, Lead Engineer, and Technical Consultant with portfolio in wireless and satellite communication, and information technology. He has significant experience in project management, system life-cycle management, and lean six sigma techniques.

   Stanley holds an MBA (Distinction) from the Warwick Business School. His MBA dissertation on three-dimensional vehicle routing problem in urban city logistics won the Certificate of Excellence. He also holds a BEng in Electrical and Electronic Engineering (EEE) with First Class Honors and was placed on the Dean's List for three consecutive years. His final-year thesis on next generation virtual bass system, developed new algorithms using psychometric signal processing techniques, won the Distinction Award. In addition, he was awarded the coveted EEE Excellence Award for outstanding achievement in academic and core-curriculum activities. Outside of academia, Stanley is a Gold Award holder of the Duke of Edinburgh's Award.

   In his free time, Stanley loves to run and enjoys photography.

Teaching Assistant @ Cambridge Judge Business School

  • MM1 Quantitative techniques for management [MPhil Management Core] (Fall' 17)
  • MS5 Operations management [Management Studies Tripos Core] (Fall' 17)

Professional Qualifications

  • Project Management Professional (PMP)
  • IASSC Certified Lean Six Sigma Green Belt (ICGB)
  • ITILv3 Foundation Certificate in Service Management
  • Cisco Certified Network Professional (CCNP)
  • VMware Certified Professional (VCP)
  • Certified Cloud Computing Specialist (CCCS)

Contact Details

If there are any interesting projects we can work together, please do not hesitate to get in touch. I'm always looking for new opportunities and new collaborators, so I hope to hear from you. Thank you for visiting my website.

Email: stanley.lim@asu.edu; wtsfl2@cam.ac.uk

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My CV

Research interests

  • Empirical retail operations management
  • Economics of distribution services
  • Last-mile distribution and delivery models

Methodology interests

  • Econometric tools (including structural econometrics)
  • Quasi-natural experiments
  • Statistical (machine) learning
  • Case-based research