Note: The Supply Chain, Operations and Technology Management area is not accepting new applications for the fall 2021 intake. They will accept new students for the fall 2022 intake. The application portal for next year's cycle will open on Oct. 15, 2021.
The disciplines of Supply Chain, Operations and Technology Management seek answers to fundamental questions about the design, production, and delivery of goods and services. We welcome applications from students with backgrounds in business, mathematics, engineering, economics and related fields. Graduates of our PhD are prepared for a career in academia or research.
We create a nurturing environment where you have access to:
Our 13 faculty are leading researchers in fields such as sustainable and closed-loop supply chain management, logistics and transportation, operations management, management of innovation and technology, and stochastic modelling.
Over the past five years, faculty in Supply Chain, Operations and Technology Management have received more than $1 million in research grants from funding agencies, including the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Social Sciences and Humanities Research Council of Canada (SSHRC), as well as grants from industry, including $500,000 from CN Rail. Our faculty members have published their research in top-tiered academic journals, including Management Science, Production and Operations Management, Manufacturing & Services Operations Management, JOM, JORS, Annals of OR, EJOR, Financial Management and IIE Transactions, to name just a few.
An introduction to the methods and instruments of business research, including scientific method, research design, and measurement. Basic descriptive and inferential statistics will be covered.
An introduction to deterministic operations research. The course will seek to provide students with the ability to construct sophisticated models of supply chains using deterministic tools. To achieve this objective, both the underlying theory and modelling issues will be addressed.
The purpose of this course is to introduce doctoral students to non-deterministic mathematical modelling. Topics include continuous-time stochastic processes, Markovian decision processes used to describe, analyze, and design systems such as queues, inventory, reliability, pricing, and quality management.
The important concepts, principles, theories, and business issues involved in SCM business processes. These processes include distribution, procurement, operational integration, information and physical network design, inventory management, transportation, and materials packaging/handling. A key goal of the course is for students to understand the role of academic research in supply chain management.
An in-depth review of the mathematical models used to address problems in the areas of facility layout, facility location and transportation.
An in-depth review of the research literature in inventory management and procurement. Inventory topics include both deterministic and stochastic models for one or multiple products, and involving one or multiple echelons of the supply chain. Procurement topics include outsourcing analysis, supplier selection and evaluation, negotiation and design of contracts, and the analysis of strategic alliances.
This course provides intermediate graduate-level examination of the key strategic, tactical and operational issues in converting resource inputs into outputs of goods and services. The course builds an understanding of the key resources and activities in conversion processes, as well as how they are related. These include operations strategy, process design, facility layout, aggregate planning, materials requirements planning, operations scheduling and process control.
The economic theory of business decision making and its application to a variety of problems. Strategic decisions are emphasized.
A survey of applied econometrics, including basic regression theory and an examination of a variety of econometric applications in both microeconomics and macroeconomics.
CN Fellow in Supply Chain Management
Area Coordinator, Operations and Decision Sciences
Executive Director, Laurier EMTM
Michael J. Pavlin
Chunming (Victor) Shi
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