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Module Title Linear Programming and Introduction to Operation Management
SchoolMathematics
Department Mathematics
Module Code 06 22495
Module Lead Dr Warren Smith
Level Honours Level
Credits 20
Semester Full Term
Pre-requisites
Co-requisites
Restrictions None
Contact Hours Lecture-46 hours
Seminar-0 hours
Tutorial-10 hours
Project supervision-0 hours
Demonstration-0 hours
Practical Classes and workshops-0 hours
Supervised time in studio/workshop-0 hours
Fieldwork-0 hours
External Visits-0 hours
Work based learning-0 hours
Guided independent study-0 hours
Placement-0 hours
Year Abroad-0 hours
Exclusions
Description This module shows that aspects of certain managerial problems such as optimal allocation of resources, transporting goods economically, and assigning workers to jobs can be modelled mathematically and their solutions can be found efficiently by Management Mathematics techniques. This module also presents some optimisation methods for a class of managerial applications such as inventory management, project management, waiting line, job shop scheduling, among others.
Learning Outcomes By the end of the module the student should be able to:
  • Understand basic techniques of linear programming (graphical method and simplex method);
  • Construct linear programming models of a variety of managerial problems and interpret the results obtained by applying the linear programming techniques to these problems;
  • Explain why and when the simplex method fails to provide a solution and how to resolve such a situation;
  • Present, prove and use the results of duality theory and interpret them;
  • Model some practical optimisation problems, including stock control, project scheduling and queuing systems;
  • Provide optimal solutions using mathematical techniques.
Assessment 22495-01 : CA Sem 1 : Coursework (5%)
22495-03 : Exam : Exam (Centrally Timetabled) - Written Unseen (90%)
22495-04 : Extra Task Sem 1 : Coursework (0%)
22495-05 : Extra Task Sem 2 : Coursework (0%)
22495-06 : CA Sem 2 : Coursework (5%)
Assessment Methods & Exceptions 10% based on course work and/or class tests during term-time; 90% based on a 3-hour examination
Other None
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