31 May 2018
(Local & Non-Local)
This course explores the fundamental concepts and methodologies to support managerial decision making. The students will have a basic understanding of linear programming, probability and statistics, decision analysis, and game theory. They will also gain rich hands-on experience to analyze and solve practical business problems.
The aim of this course is to introduce the statistical concepts and methodologies that are often associated with making predictions with data. We begin with fundamental statistical analysis (e.g. inference, simple regression), then adds both breadth (e.g. logistic regression) and depth (e.g. model selection) to the use of regression to find the best prediction model for business forecasting. You will learn how to build predictive models with data sets in various structures (e.g. quantitative or categorical response/predictors). You will understand the trade-off between over-predicting versus under-predicting. You will practice utilizing the learned methods to solve data-based business decision problems (e.g. healthcare operations, fraud detection) through examples and case studies. R language will be used to process data and generate prediction models. No prior statistical knowledge is required, and you do not need prior knowledge about Excel or R.
This course is designed to provide the student with an understanding of the processes which would transform manufacturing to a source of competitive advantage. In particular, we will study how efficient operations can be a competitive weapon in service industries as well as manufacturing sectors. The topics include system design, capacity planning. Process selection, facility layout, design of work systems, location planning, lean operations, scheduling and project management. Thus, the course is not only for an operations manager but also for a general manager who needs to revamp a company's operations to establish competitive advantage.
Supply Chain Management is about the management of material, information, and finance flows in multi-stage production-distribution networks. Driven by fierce global competition and enabled by advanced information technology, many companies have taken initiatives to reduces costs and at the same time increase responsiveness to changes in the marketplace. This course will provide students with the knowledge and the tools necessary to develop, implement, and sustain strategies for managing supply chain issues. The topics include building a strategic framework to analyze supply chains, designing the supply chain network, planning demand and supply, managing inventories, sourcing, transporting, pricing and revenue management, and coordinating a supply chain.
This course aims to provide students with the knowledge and skills necessary for effective business research. Emphasis will be on research design, sample design, questionnaire design, data collection, data analysis and interpretation of results. Use of a common statistical package, SPSS, and real life data are key components of the course.
This course aims to equip students with a set of modeling skills and data analytical tools based on spreadsheet that enable them to address complex business problems. The content covers basic and advanced spreadsheet techniques, VBA programming and their business applications. Students will learn how to develop and use spreadsheet effectively for business analysis, and how to utilize data and models to derive insights and make better decisions.
The course aims to provide students with basic concepts and systematic approaches for effective project management. Students will be trained to apply the concepts and methods of project management with the use of case exercises and case studies.
At the completion of the course, students will be equipped with quantitative techniques for effective project planning, scheduling, cost control and estimation. Prevalent industrial software package on project management will be used for the teaching and learning.
This course is designed to provide students with an understanding of the basic concept of simulation model and the use of modern computer simulation packages. With the animation feature of the model, it provides a strong tool to solve various real world operational problems with stochastic nature. It helps to analyse the characteristics of the systems and also evaluate the performance of operations in public and private sectors.
This course endeavours to create a bridge between the theory and practice of service quality management. By understanding of the needs, wants, and desires of the customer and who the customer is, students can expect to learn some workable approaches, tools, and methods necessary for real service quality improvement. It also enables students to develop their analytical ability in using statistical tools for quality management, and provides an understanding of service quality improvement approaches and tools.
This forum aims to provide students with both an overview and in-depth knowledge about the implementation issues, major challenges, and the best and the local practices of logistics and supply chain management.
This course is designed to provide students with an understanding of the processes in business logistics and supply chain management. In particular, students will study E-logistics and Enterprise Resource Planning. E-logistics provides a means to coordinating information, materials, equipment and money flows across the supply chain, which enables companies to shop, commit, execute and settle their logistics transactions electronically. Enterprise Resource Planning is a large computer system that integrates application programs in accounting, sales, manufacturing, and other functions in a firm. Enterprise Resource Planning is the backbone for E-logistics. The integration is accomplished through a database shared by all the application programs.
This course is designed to provide students with an understanding of the enterprise-crossing transportation logistics interrelated with supply chain management under a unified principle of winning-before-doing, which can explain the so-called Wal-Mart model in which a "factory" is a virtual logistics network of multiple production firms.
This course is designed to provide students with concepts, principles and methods for procurement and develop students' ability to perform the strategic sourcing and procurement. With real world situations of strategic sourcing and procurement through the use of practical examples and case studies, it provides students with the latest development of procurement discipline. The topics include purchasing function, quality management for goods and services, controlling prices and costs, vendor selection, sourcing & market analysis, competitive bidding and negotiation, commodity buying, capital buying, service buying, strategic sourcing and procurement, and e-procurement.
This course is an independent project in content areas related to operations and supply chain management. Students work under the supervision of an assigned faculty advisor to address comprehensive company-based or research-orientated problems with documented results. Each group will have a customised project, which may be assigned by the student's employer or may be created in coordination with a faculty member. The completed project should clearly present the problem of the research subject investigated or applied project undertaken, its significance to theory or business practice, the research or project background, a well-defined method, results or findings, and their implications.
This course aims to equip students with skill needed to analyse comprehensive supply chain cases, present to and communicate effectively with business clients, and write powerful business reports. The students will be exposed to a set of challenging business cases on operations and supply chain management, and they will be asked to solve business problems with knowledge learned from the program, individually or as a team. The course will prepare students for job interviews, business consulting, and taking up management entry positions in the operations and supply chain management profession.