SUPPLY CHAIN MANAGEMENT - 2020/1
Module code: ENGM078
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice in time for the start of the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
Global competition has seen a shift from between individual companies to that between supply chains. This module will introduce the concept of supply chain and its management, including both qualitative and quantitative analysis. It will equip the students with the knowledge of fundamental supply chain processes, as well as the major components such as distribution, demand forecasting, planning, inventory, transportation, sourcing and coordination. Conceptual modelling of supply chain events toward sustainable and profitable supply chains will also be discussed. In this module, students will acquire in depth understanding of supply chain management and corresponding analysis tools that are used to achieve optimal supply chain performance whilst satisfying customers' need.
Chemical and Process Engineering
BUSSEMAKER Madeleine (Chm Proc Eng)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: H700
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 116
Lecture Hours: 22
Laboratory Hours: 12
Prerequisites / Co-requisites
Indicative content includes:
- Introduction to supply chain concepts and management principles
- Distribution network and its design
- Aggregate planning based on demand forecasting
- Planning in the presence of supply/demand uncertainty
- Optimal decision making for cycle and safety inventory
- Supply chain metrics and evaluations
- Circular Economy and sustainable supply chain concepts
|Assessment type||Unit of assessment||Weighting|
|Examination||EXAMINATION (2 HOURS)||60|
The assessment strategy is designed to provide students with the opportunity to demonstrate:
· Learning outcomes 1- 5 on the unseen written examination;
· Learning outcome 1 on Coursework 1; and
· Learning outcomes 1, 3 and 4 on Coursework 2.
Thus, the summative assessment for this module consists of:
· Examination, 60%, 2 hours, (LOs as above)
· Coursework 1, 20%, basic concept and principles of supply chain management, (LOs as above)
· Coursework 2, 20%: optimal design of a supply chain case (LOs as above)
Formative assessment and feedback
Formative assessment will be conducted through tutorial and computer sessions. Tasks will be given and student answers assessed informally inclusive of verbal feedback, and when required written feedback. In addition for each piece of coursework given, the students will receive individual written feedback.
- An understanding of the concepts and principles of supply chain management;
- A knowledge of the major drivers that determine supply chain performance;
- A set of qualitative tools to aid supply chain decision making;
- A set of analytical methods to aid quantitative analysis and optimisation of supply chain processes;
- A conceptual modelling methodology to analyse the events/flows within a supply chain to identify opportunities for improvement in profitability and sustainability.
|001||Discuss the implications of practical supply chain decisions with respect to drivers and distribution network configurations of supply chains.||KCT|
|002||Carry out aggregating planning with consideration of forecasted demand / supply uncertainty.||KCT|
|003||Apply optimisation techniques to network configuration and inventory policy.||KCPT|
|004||Apply conceptual modelling tools to supply chain analysis||KPT|
|005||Discuss sustainability concepts applicable to supply chain management.||KCT|
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
The learning and teaching strategy is designed to:
Present up to date concept, theory and technologies of supply chain management, combined with problem solving sessions giving opportunity for group work and discussion. The subject will be addressed both qualitatively and quantitatively, the latter through state-of-the-art supply chain modelling and optimisation methods.
The learning and teaching methods include:
34 hours combined lectures / computer laboratory problem solving sessions
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Upon accessing the reading list, please search for the module using the module code: ENGM078
Programmes this module appears in
|Petroleum Refining Systems Engineering MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Process Systems Engineering MSc||2||Compulsory||A weighted aggregate mark of 50% is required to pass the module|
|Chemical Engineering MEng||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Information and Process Systems Engineering MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Renewable Energy Systems Engineering MSc||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
|Chemical and Petroleum Engineering MEng||2||Optional||A weighted aggregate mark of 50% is required to pass the module|
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2020/1 academic year.