*All Core courses must be completed before beginning electives (16.5 credit units)
Any Combination of courses to obtain 12 credit units.
# Can Begin after 1st Semester
The Mandatory modules include a series of core Modules* that are designed to equip students with the essential knowledge needed to lay a solid foundation in supply chain management. All core modules must be completed before starting electives.
The Electives module is a collection of a number of advanced courses from which students can choose a subset to gain expertise in a particular area. A broad array of advanced topics are made available to allow every student to customize the program according to their credits required.
Students must select and submit either:
The Supply Chain Seminar and Practice module brings hands on knowledge of global supply chain complexities to the students. To bridge the gap between theory and practice, students will attend relevant supply chain seminars and webinars.
Analytical Methods for Supply Chain Management *
Deliver the primary methods of analysis required for supply chain management planning. The class solves various practical problems using simulation, linear programming, integer programming, regression, and other techniques.
Case Studies in Logistics & Supply Chain Management *
A combination of lectures and cases covering the strategic, management, and operating issues in contemporary logistics and integrated supply chain management. The topics include logistics strategy; supply restructuring and change management; and distribution, customer service, and inventory policy.
Survey of information technology covering – Database modelling, design, and implementation; Internet technologies such as http, html, XML, SOAP and Security. Brief introduction to components, middleware, design, and implementation of multi-tier architectures, benchmarks, and performance. Data networking protocols and technologies are also included.
Logistics Systems: Forecasting & Inventory *
Introduction to supply chain management from both analytical and practical perspective. Stressing a unified approach, the course allows the student to develop a framework for making intelligent decisions within the supply chain. Key logistics functions are covered to include demand planning, procurement, inventory theory and control, transportation planning and execution, reverse logistics, and flexible contracting. Concepts explored include postponement, portfolio management, dual sourcing, and others. Emphasis is placed on being able to recognize and manage risk, analyse various trade-offs, and model logistics systems.
Supply Chain Finance *
This course links supply chain management to the financial systems and objectives of the corporation. It emphasizes how the supply chain creates value for both the shareholders of the company and the stakeholders affected by the company’s operations. The sessions are a combination of lectures and cases from the manufacturer, distributor, and retailer perspectives that are rich with data. Topics include supply chain valuation; activity based costing, cash flow projections, working capital management, and trade finance.
System Dynamics *
Introduction to systems thinking and system dynamics modelling applied to strategy, organizational change, and policy design. Students use simulation models, management flight simulators, and case studies to develop conceptual and modelling skills for the design and management of high-performance organizations in a dynamic world. Case studies of successful applications of system dynamics in growth strategy, management of technology, operations, supply chains, product development, and others are discussed. Considers strategic issues such as business cycles, market growth and stagnation, the diffusion of new technologies, the misuse of forecasts, and rationality of managerial decision-making and principles for effective use of modelling in the real world.
The Research Methods module involves independent research to cement what students have learnt in various courses and field work during the program. Every student must complete a Masters thesis to demonstrate the ability to study a complex topic in a practical yet scholarly rigorous manner. To ensure that the research effort is meaningful and unique, students are encouraged to select topics according to their interest that are relevant to the industry – keeping in line with the overall philosophy of MISI to undertake applied research.
Application-oriented introduction to systems optimization focusing on understanding system trade-offs. Introduces modelling methodology (linear, network, integer, nonlinear programming, and heuristics), modelling tools (sensitivity and post optimality analysis), software, and applications in production planning and scheduling, inventory planning, supply network optimization, project scheduling, telecommunications, facility sizing and capacity expansion, product development, yield management, electronic trading, and finance
Characteristic examples of transportation systems are airports, public transportation, freight villages, ports etc. The design, investment and operation of any transportation system is a rather complex task as it involves numerous stakeholders and encapsulates both qualitative and quantitative criteria at any decision-making stage. Any decision- making process becomes more complex when variability is factored in. Uncertainty can stem from factors that are either internal or external to the transportation system with demand, weather conditions, strikes and breakdowns being among those in the long list. Thus it is essential to understand the essence of the different transportation systems since despite the commonalities these may have still there are significant differentiations among them.
Special topics in Supply Chain Management
Modern companies face numerous supply chain challenges among the many being production, scheduling, procurement, finance, distribution and transportation. Through a series of case studies and guest speaker presentations students will have the chance to experience and explore some of these challenges and link theory with practice.
Economic Analysis for Business Decision
Introduces students to the principles of microeconomic analysis used in managerial decision-making. Topics include demand, cost and surplus analysis, the behaviour of competitive and non-competitive markets, sources and uses of market power, and game theory and competitive strategy, with applications to various business and public policy decisions. Antitrust policy and other government regulations are also discussed.
Global Supply Chain And Risk Management
Focuses on the international dimensions of strategy and organization, and provides a framework for formulating strategies in an increasingly complex world economy, and for making those strategies work effectively. Topics include the globalization of industries, the continuing role of country factors in competition, organization of multinational enterprises, building global networks, and the changing managerial tasks under conditions of globalization.
Introduces students to problems and analysis related to the design, planning, control, and improvement of manufacturing and service operations. Includes process analysis, materials management, production planning and scheduling, quality management, supply chain management, reengineering, capacity, facilities planning, and operations strategy.
Supply Chain Design and Strategy
A company makes a variety of strategic decisions to compete effectively. These decisions are made at different levels to include Network level strategy, Corporate level strategy, Business level strategy, and Functional level strategy. Supply chain strategy decisions, being cross-functional in nature also tend to span different decision levels. Of late, there is an increasing trend of supply chain strategic decisions being made at multiple levels. Accordingly, in some companies supply chain decisions are located at the corporate level, some others target the business level, while some make these decisions at the lowest strategy levels with significant overlap with operations or manufacturing strategy. Supply chain decisions can also be viewed from the perspective decision stages namely, SC strategy, SC design, SC planning and SC operations.
Engineering System Analysis for Design
Covers theory and methods to identify, value, and implement flexibility in design, also known as “real options.” Use of flexible designs is a game-changing approach that often leads to spectacular increases in expected performance (30% and more). The course covers these topics: definition of uncertainties, simulation of performance for scenarios, screening models to identify desirable flexibility, decision and lattice analysis, and multidimensional economic evaluation.
An overview of globalization and the international environment: the international marketing, international finance and supply chain interface; global strategy for logistics and supply chain management; global supply chain models; role of government intervention and regulations; the role of international air and ocean carriers. Emphasis on both strategy formulation and implementation.
Supply Chain Process Re-engineering
SC Process Re-engineering focuses on practical experience that blends theory and practice. Students reflect on prior reengineering experiences and then apply lessons learned to further develop their leadership capabilities. The course requires active participation in all classes and/or activities as well as short deliverables throughout the program.
Supply Chain Planning
Focuses on effective supply chain strategies for companies that operate globally, with emphasis on how to plan and integrate supply chain components into a coordinated system. Students are exposed to concepts and models important in supply chain planning with emphasis on key trade-offs and phenomena. Introduces and utilizes key tactics such as risk pooling and inventory placement, integrated planning and collaboration, and information sharing.
Case Study 1:
The PSCM program turns this academic requirement into an opportunity for students to conceive and execute independent research on a topic of their choice. The 1st Case Study takes place during Part 1 of the course using as a theoretical background the Core courses taught. Students are asked to take a more operational approach to the problems tackled. Typically, the research directly involves one or more companies or organizations. Occasionally, research topics that are larger in scope require a team of two students. A faculty supervisor is assigned to each case study project to provide guidance for the research effort and writing process.
Case Study 2:
The 2nd Case Study takes place during Part 2 of the course using as a theoretical background the Elective courses taught. Students are asked to take a more strategic approach to the problems tackled. Typically, the research directly involves one or more companies or organizations. Occasionally, research topics that are larger in scope require a team of two students. A faculty supervisor is assigned to each case study project to provide guidance for the research effort and writing process.
A Thesis is something new, an innovative idea, and an original piece of work that involves modelling and simulation and generally requires a higher level of academic rigour and creativity with an expansion of analytical work and more research. Ideally a Thesis should be able to become a publishable article in a refereed journal.
To ensure that the research effort is meaningful and unique, students are encouraged to select topics according to their interest that are relevant to the industry – keeping in line with the overall philosophy of MISI to undertake applied research.