Management Science for Supply Chain Management
| Code | School | Level | Credits | Semesters |
| BUSI4611 | Nottingham University Business School China | 4 | 20 | Autumn China |
- Code
- BUSI4611
- School
- Nottingham University Business School China
- Level
- 4
- Credits
- 20
- Semesters
- Autumn China
Summary
The emphasis in this module is on formulating (modelling) and solving models with spreadsheets and other tools. The topics covered include: modelling and optimization principles, linear programming and integer programming, network models and algorithms, key concepts of probability and uncertainty, queuing systems, simulation, data visualization, database manipulation, and application of management science in supply chain management.
Target Students
Business School MSc students subject to compliance with module choice requirements, as listed in the degree programme specification. In addition, other MA/MSc students subject to the discretion of the Director of MSc Programmes
Classes
- One 3-hour lecture each week for 11 weeks
- One 2-hour computing each week for 3 weeks
- One 1-hour computing each week for 5 weeks
Total Contact Hours = 44 hours (33 hours of lectures = 3-hour lecture x 11 weeks) + 11 hours computer lab sessions (5x1 hour + 3x2 hours)
Assessment
- 30% Group Coursework: Group assignment (3,000 words)
- 70% Exam 1 (2-hour): 2 Hour Examination
Educational Aims
The module aims to provide an understanding of the methods and techniques of Management Science with applications in business and industry, including Supply Chain Management and related areas. Students will learn how to apply the more common optimisation techniques for a range of problems.Data analytics is another important tool for aiding the design and management of operations in manufacturing and service industries. The module introduces the principles, roles and practice of data analytics and optimization in supply chain management.Learning Outcomes
Knowledge and understanding: This module develops a knowledge and understanding of:
The management of resources
The management of operations
The management of logistics
Tools and techniques for transforming (big) data into useful information for business analysis and decision support
Intellectual Skills: This module develops:
Being able to think critically and be creative: manage the creative processes in self and others; organise thoughts, analyse, synthesise and critically appraise. This includes the capability to identify assumptions, evaluate statements in terms of evidence, detect false logic or reasoning, identify implicit values, define terms adequately and generalise appropriately
Being able to solve complex problems and make decisions: establish criteria, using appropriate decision-making techniques including identifying, formulating and solving business problems; and the ability to create, identify and evaluate options; the ability to implement and review decisions
Using information and knowledge effectively in order to abstract meaning from information and to share knowledge, including the use of quantitative skills
Professional Practical Skills: This module develops:
The ability to conduct research and enquiry into business and management issues either individually or as part of a team through research design, the collection and analysis of quantitative data, synthesis and reporting
Transferable (key) Skills: This module develops:
1 Effective communication: networking, listening, oral and written communication of complex ideas and arguments, using a range of media, including the preparation of business reports
Other: The ability to apply management science techniques
Conveners
- Mr Pascal Wolff