Supply Chain Management (MSCM) Seminars
Description:
This seminar emphasizes the theoretical and practical aspects of decision modelling and optimization techniques in supply chain design and planning. Among the topics covered are linear and integer programming, network models, sequential decision analytics, and application of duality in developing solution approaches for large scale models. Use of modelling platform and optimization software is an integral part of this seminar.Component(s):
"Lecture"; "Seminar"; In Person (P)Description:
This seminar covers the practices, techniques and regulations associated with sourcing and movement of materials in the global supply chains. Among the topics covered on sourcing are impact of globalization on sourcing, supplier evaluation and selection, supplier performance management, purchasing, electronic procurement, negotiations, contract law, supplier relationship management. Issues in global logistics are discussed in the second half of the seminar. Among the topics covered are distribution channels, warehousing, transportation management, reverse logistics, green logistics and sustainability, and cross-border issues in logistics. The coverage is supplemented by case studies and research articles.Component(s):
"Seminar"Prerequisite/Corequisite:
The following course must be completed previously: MSCM 681 or equivalent.Description:
This seminar focuses on managerial and modelling issues in supply chain design and coordination along the supply chain. Models in facility location, distribution networks and global supply chain networks are studied. The strategic aspects of supply chain design are discussed in terms of competitive drivers. The second part of the seminar deals with coordination issues. Among the concepts and models covered in this respect are supply chain contracts, collaborative planning, forecasting and replenishment, bullwhip effect, postponement, and vendor managed inventory. Articles, case studies, optimization software and simulation game are used as part of seminar delivery.Component(s):
"Seminar"Description:
The seminar presents the application of advanced analytics to enhance market analysis, revenue management, and operational efficiency. It emphasizes the importance of building flexibilities to improve performance in retail, service, manufacturing, and various organizational settings. The topics covered include advanced forecasting models, customer relationship management analytics, consumer choice analysis, dynamic pricing strategies, and network revenue management. The seminar content is delivered via a combination of lectures, case analyses and research articles.Component(s):
"Lecture"; "Seminar"; In Person (P)Prerequisite/Corequisite:
The following course must be completed previously: MSCM 681 or equivalent.Description:
Strategies for managing the various risks along the supply chain are studied. Quantitative and qualitative approaches used in analyzing such risks and scenarios are covered. The seminar discusses risk identification and management, trade-offs in risk management, strategies for robustness, scenario planning, financial risks and disruption planning. The approaches used for modelling and analyzing the supply chain risks are presented through lectures, case analyses and research articles.Component(s):
"Seminar"Prerequisite/Corequisite:
Students must complete 6 credits in the MSCM in Supply Chain Management program prior to enrolling.Description:
The seminar focuses on fundamental techniques for data-centric decision-making. In the first part, we explore non-linear optimization techniques and their applications in machine learning models. The second part emphasizes planning models that address data uncertainty. Key topics include gradient and stochastic gradient descent, online optimization, sample average approximation, and distributionally robust optimization.Component(s):
"Lecture"; "Seminar"; In Person (P)Description:
More than one topic can be offered under this course. In such cases, the name of the topic will be indicated on the class schedule.Component(s):
"Lecture"; In Person (P)Notes:
- Allow this course to be taken more than one time for credit.