Stanley Lim

Assistant Professor Michigan State University

  • East Lansing MI

Stanley Lim's research explores operational issues at downstream (or so called "last-mile") supply chains.

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Michigan State University

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Biography

Stanley Lim is an assistant professor of supply chain management in the Department of Supply Chain Management and faculty affiliate with the Evolution and Future of Work Research Initiative at Michigan State University. He holds a Ph.D. in Supply Chain Management from the University of Cambridge, a Master's in Computer Science from the University of Illinois at Urbana-Champaign, and an M.B.A. from Warwick Business School. His research explores operational issues at downstream (or so called "last-mile") supply chains. He is recognized for his practical and managerial approach, grounding his work in real-world applications. By adopting an interdisciplinary perspective that combines operations management, marketing, and economics and utilizing customer behavior analytics, Stanley aims to enhance the theory and practice of operation. He seeks to provide practical insights that can inform how and under what conditions firms can best distribute their products and services to end consumers.

At present, his focus centers on understanding the economics of distribution services in digital and nondigital retail, covering the four A's: (1) accessibility of location and information, (2) availability of inventory, (3) assurance of product delivery, and (4) assortment planning. These areas comprise the four core services retailers provide to help consumers reduce their search and transaction costs. His research applications encompass omni-channel retailing, food waste management, and package delivery.

Based on this research agenda, Stanley has developed analytical models for store network and facility location design, workload and job assignments, and service policies. These include, for example, models to predict failed delivery attempts and incorporating the predictions in routing, estimate the opportunity cost of product stockouts for inventory planning, determine the optimal return window for consumer return policies, and evaluate spatial competition to guide store market area design. Additionally, he has explored the impact of contract terms on the bargaining power and economic outcomes of retailers and suppliers, the relationship between drivers' workload and delivery performance, the influence of subscription models on consumer behaviors, and consumers' sensitivities to lead times and their product return behaviors across digital and nondigital channels.

Industry Expertise

Research
Education/Learning
Logistics and Supply Chain

Areas of Expertise

Logistics
Retail Strategy
Consumer Behavior
Machine Learning
Consumer Trends
Retail Systems

Accomplishments

Meritorious Paper

2018

Chris Voss Best Paper

2018

Literati Highly Commended Paper

2018

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Education

University of Cambridge

Ph.D.

Supply Chain Management

University of Illinois at Urbana-Champaign

M.S.

Computer Science

Warwick Business School

M.B.A.

Affiliations

  • Journal of Operations Management : Associate Editor

News

Expert Advice on Overcoming Last-Mile Logistics Issues When Shipping Plants

Greenhouse Grower  online

2023-06-11

Dr. Stanley Lim, Assistant Professor in the Department of Supply Chain Management, Broad College of Business at Michigan State University, shares insights on challenges and solutions in last-mile logistics.

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Amazon hits brakes on 5 Michigan facilities as U.S. online shopping slows

Michigan Business Watch  online

2022-09-16

The reason: American shoppers are increasingly willing to go back into stores, said Stanley Lim, an assistant professor of supply chain management at Michigan State University.

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Latest apps promise fast service but can they deliver?

Associated Press  online

2022-04-19

“For this type of model to work — 15 minutes, 10 minutes, 20 minutes, you name it — you need density, right?” said Stanley Lim, a Michigan State University professor who specializes in supply chains. “In a rural area, you can service these customers but not profitably. That’s going to be a limit to the spread that these companies can go for.”

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Journal Articles

Estimating Stockout Costs and Optimal Stockout Rates: A Case on the Management of Ugly Produce Inventory

Management Science

2023

Efficiently managing inventories requires an accurate estimation of stockout costs. This estimation is complicated by challenges in determining how to compensate consumers monetarily to ensure they will maintain the same level of utility they would have obtained had stockouts not occurred.

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Channel Changes Choice: An Empirical Study About Omnichannel Demand Sensitivity to Fulfillment Lead Time

Management Science

2023

We examine a large transaction-level data set of an Italian omnichannel furniture retailer to study channel-specific effects of fulfillment lead time on demand. This omnichannel retailer sells the same products and has the same product fulfillment across three channels: showroom, online, and catalog. The showroom channel carries no inventory but allows customers to touch and feel the products.

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Do it right the first time: Vehicle routing with home delivery attempt predictors

Production and Operations Management

2022

Up to 20% of all business-to-consumer deliveries fail on the first attempt. Failed deliveries not only carry cost implications but also incur damage to retailers’ brand reputation. Despite its economic significance, research has paid little attention to delivery attempt as an operational outcome or seldom accounted for its effects in routing models. This is partly due to the many factors that can influence delivery outcomes.

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