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MGMT8071 - Supply Networks Optimisation

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Title:Supply Networks Optimisation
Long Title:Supply Chain Networks Optimisation
Module Code:MGMT8071
 
Duration:1 Semester
Credits: 5
NFQ Level:Advanced
Field of Study: Business & Management
Valid From: Semester 1 - 2020/21 ( September 2020 )
Module Delivered in 1 programme(s)
Next Review Date: February 2024
Module Coordinator: Sinead Reen
Module Author: JANE O KEEFFE
Module Description: This module is designed to examine the use of data and technologies to problem solve, and optimise supply chain decision making.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Distinguish between Linear and Non-Linear models
LO2 Formulate 'live work scenario' problems in the supply chain into a mathematical model
LO3 Identify decision variables, objective function, constraints, and non negativity restrictions for all linear models as they relate to supply chain activities
LO4 Solve the (supply chain network) linear programme by geographical methods
LO5 Solve the (supply chain network) linear programme with the use of computers and software
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.

No requirements listed
 

Module Content & Assessment

Indicative Content
Supply Chain Networks
The evolving commercial nature of business is examined in the conext of supply chain management. Global supply chains; outsourcing and back-sourcing; customer demands and expectations; forward and backward integration; competition and competitive advantage; are all examined in regard to the extent of global supply chain networks and the supply chain architecture that supports demand.
Supply Chain Optimisation
The competitive nature of markets; resources and capabilities frameworks; optimal use of resources; lean and agile supply chains as a source of competitive advantage. Modelling supply chains to optimise returns to both the customer and the provider/manufactuirer of goods and services.
Formulating desicion making models
This is a three step process (formulation, solution, and intrepretation). Develop clear and concise problem statements with appropriate variables. Manipulate the model to optimise solutions. Vary data and model parameters for optimal results.
Application of linear programming models.
Supply chain architecture analysis. Reconfiguration of storage layouts and workforce. Shelf space optimisation in warehouse and retail scenarios. Optimisation of delivery routes and use of distribution centres.
Assessment Breakdown%
Course Work100.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Short Answer Questions Answer a series of questions to demonstrate understanding of Linear modelling in a 'live work' scenario 1,2 15.0 Week 3
Written Report Identify and solve a supply chain network linear programme by geographical methods 1,3,4 15.0 Week 5
Practical/Skills Evaluation Identify a 'live work' scenario that could benefit from linear modelling and solve using computers and software 2,3,5 20.0 Week 8
Project Focus on the operations of respective organisation and overlay a mathematical model to demonstrate how optimum results could be achieved in managing supply networks 2,3,4,5 50.0 Week 13
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The institute reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Introduction to Supply Chain modelling and linear programming 1.5 Every Week 1.50
Lab Application of mathematical models to supply chain problems 0.5 Every Week 0.50
Independent & Directed Learning (Non-contact) No Description 5.0 Every Week 5.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 2.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lab Application of mathematical models to supply chain problems 0.5 Every Week 0.50
Lecture Introduction to Supply Chain modelling and linear programming 1.5 Every Week 1.50
Independent & Directed Learning (Non-contact) No Description 5.0 Every Week 5.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 2.00
 

Module Resources

Recommended Book Resources
  • Balakrishnan, N. and Render B. J., Stair, R. and Munson, C. 2017, Managerial Decision Modeling With Spreadsheets, 4th Ed., Pearson Education Inc. Publishing as Prentice Hall. [ISBN: 9781501515101]
Supplementary Book Resources
  • Law, A. 2014, Simulation Modelling and Analysis., 5th Ed., McGraw-Hill Education New York [ISBN: 9780073401324]
Recommended Article/Paper Resources
This module does not have any other resources
 

Module Delivered in

Programme Code Programme Semester Delivery
CR_BGSCM_8 Bachelor of Business (Honours) in Global Supply Chain Management 1 Mandatory

Cork Institute of Technology
Rossa Avenue, Bishopstown, Cork

Tel: 021-4326100     Fax: 021-4545343
Email: help@cit.edu.ie