Lectures - communication and discussion of knowledge, ideas and skills.
Problem Solving Exercises - student will work individually and/or as part of a team, to resolve relevant operations management problems.
E-Learning - It is envisaged that the module will be supported with on-line learning materials.
Self-Direct Independent Learning - the emphasis on independent learning will develop a strong and autonomous work and learning practices.
Module Aim:
The aim of this module is to give students an understanding of role of the operations function within an organization and the outward impact operations has on all aspects of the business. The module will introduce the elements and some of the practices that comprise the field of Operations Management and the quantitative tools used in this field to aid decision making.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1
Explain key terms, concepts and practices in the area of operations management.
LO2
Examine processes and quantitative tools that are used to aid decision making in the area of operations management.
LO3
Apply appropriate processes and quantitative tools to defined and undefined practical operations management problems.
LO4
Analyse the outcome of the application of quantitative tools to operations management scenarios in terms of implications and limitations.
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
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.
Quantitative Techniques
Business Mathematics
Management
Business Applications
Module Content & Assessment
Indicative Content
Introduction to Operations
What is Operations Management? Operations function
as a transformation process in Manufacturing and Service Organisations; Operations Management Decisions;
Operations Management in Practice today: E - Business, Ethics and Sustainability.
Productivity and Capacity Management
Measuring Productivity and capacity; Reconciling capacity and demand; Evaluating capacity alternatives using Decision criteria, Expected Values, Decision Trees.
Forecasting
The Importance and Role of Forecasting;
Quantitative and Qualitative Forecasting methods.
Time Series Forecasting: Moving Averages and Exponential Smoothing.
Casual Forecasting: Regression and Correlation Analysis.
Measuring Forecasting Errors
Collaborative Forecasting, Planning and Replenishment (CFPR)
Quality Defined,
Quality Dimensions,
Costs of Quality,
Total Quality Management,
Six Sigma,
Quality Tools: Their application in identifying quality issues and measuring quality characteristics.
Just in Time/Lean Operations
The philosophy of JIT.
Elements of JIT.
Just in Time Manufacturing.
The pull system..
Kanban production.
Variations on Kanban Production.
Total Quality Management.
Respect for people.
Benefits of JIT.
JIT in services.
Scheduling
Scheduling jobs using priority rules, measuring and comparing performance of priority rule schedules. Scheduling bottlenecks.
Workforce scheduling
Assessment Breakdown
%
Continuous Assessment
40.00%
End of Module Formal Examination
60.00%
Continuous Assessment
Assessment Type
Assessment Description
Outcome addressed
% of total
Assessment Date
Other
Written assignment
1,2,3,4
20.00
Week 9
Other
Class Test
1,2,3,4
20.00
Week 4
No Project
No Practical
End of Module Formal Examination
Assessment Type
Assessment Description
Outcome addressed
% of total
Assessment Date
Formal Exam
End-of-Semester Final Examination
1,2,3,4
60.00
End-of-Semester
SETU Carlow Campus reserves the right to alter the nature and timings of assessment