Unit name | Supply Chain Analytics & Projects |
---|---|
Unit code | EFIMM0073 |
Credit points | 20 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Sheng |
Open unit status | Not open |
Pre-requisites |
Nil |
Co-requisites |
Nil |
School/department | School of Management - Business School |
Faculty | Faculty of Social Sciences and Law |
Analytics plays four distinct roles in a supply chain context:
The aim of this unit is to introduce the key concepts, models and computing software tools in each of these three domains and to work through the challenges of successful implementation in real world cases and situations.
A key element will not only be a focus on appropriate choice and implementation of approach, but communication of the output from such methods and software for supply chain improvements and their subsequent project management.
On completion of this unit, students should be able to:
The unit structure offers 30 contact hours, organised as 10 weekly 3-hour sessions. The learning process will be based on a combination of flipped learning style session with e-learning resources, such as podcasts and voice-enhanced power point presentations, predominantly used for theory, knowledge and concepts and class contact hours used to validate that the intended learning has taken place, using quizzes and polls, with class discussion around problematic issues. The session will then incorporate application of knowledge to cases, both in small group and individual work culminating in formative presentations. Where computer analysis can be done using Excel, students will be encouraged to bring their laptops to class; where specialist software is needed, these sessions will take place in a computer lab.
Formative Assessment (ILO 1,2,3):
Students will have the opportunity to work online on weekly problems that build the necessary analytical skills for tackling larger case-based problems. A mixture of online assessment and materials to enable self-assessment will be provided.
Summative Assessment: (ILO 1,2,3,4,5,6,7 for both assessments)
All students choose: an analytical applied case on a specific project. Students will be in groups of 4 – 6. It is not possible to be more specific as the exact number of students on the unit may not be divisible by a specific integer. Students in a group will be awarded the overall group mark, but individual mark will be weighted based on team contribution as assessed by peers and/or tutors. To deal with free riding, coaching and scaffolding from tutors will be available during the term. The weighted mark is designed to incentivise collaboration. The project will be a maximum of 3000 words.
This accounts for 50% of unit assessment.
Students choose to do one of:
Analytical applied case (up to 1500 words) on an application of predictive analytics (individual)
or
Analytical applied case (up to 1500 words) on an application of prescriptive analytics (individual)
This accounts for 50% of unit assessment.
Students are encouraged to read extensively around their subject to inform their knowledge. Students should draw from a range of sources which may include academic texts and papers, practitioner books and journals, market reports and online sources.
Core Texts
Albright, S.C. and Winston, W.L. (2017) Business Analytics – Data Analysis and Decision Making. Sixth Edition. Cengage Learning.
Maylor, H. (2018) Project Management. Fifth Edition. Prentice Hall.
Recommended Reading
Feigin,G. (2011) Supply Chain Planning and Analytics: The Right Product in the Right Place at the Right Time. Business Expert Press.
Ragsdale, C.T. (2014) Spreadsheet Modelling and Decision Analysis: A Practical Introduction to Business Analytics. Cengage.
Chopra, S, Meindl,P. (2012) Supply Chain Management, Pearson
Anderson, D.R., Sweeney, D.J., Williams, T.A., Wisniewski, M and Pierron, X. (2017) An Introduction to Management Science. 3rd Edition. Cengage.
Following international journals could also provide important information related to new developments in supply chain analytics and projects area: