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Foundations of O.R: Optimisation and (Meta-) Heuristics

 
         
  Ref. 545  
  Victor Podinovski
  26 April 2018, Birmingham
  £575 + VAT Members
  £625 + VAT Non-members
         

 

   
   Foundation NA
   Descriptive
   Predictive
   Prescriptive
 

Foundations of O.R. Courses     

The purpose of the series of ‘Foundations of O.R.’ courses is to help practitioners to understand the role of Operational Research in management; understand the requirements for successful Operational Research interventions; have knowledge of a range of Operational Research techniques; be able to identify the suitability of a technique for a problem situation and be able to apply those techniques.

Civil Servants / Members of the Government O.R. Service need to book these courses through the Civil Service Learning portal. (Go to http://bit.ly/1PrGBSB)

Foundations of O.R: Optimisation and (Meta-) Heuristics

Many complex real-life decision problems involve some form of optimisation of the use of resources, production profiles, services, schedules, investment decisions and so on. Depending on the task, different optimisation approaches have been developed in the field of O.R. to address these needs.

This session looks primarily into linear programming, which is the most commonly used optimisation methodology. We also briefly discuss several other optimisation techniques. The focus of this session is on the modelling side of linear programming and practical solution of LP models.

The objectives for the day are to:

  • Understand the main principles of optimisation and, in particular, linear programming.
  • Understand different types of decision situations in which linear programming and other optimisation techniques can be applied.
  • Obtain practical experience in the formulation of LP models and their solution using Excel Solver.
  • Appreciate the advantages and limitations of optimisation methodologies, and the extent to which they can contribute to practical decision making.

The topics covered during the day are:

  • Linear programming models, objective functions, constraints
  • Assumptions (simplifications) accepted in LP
  • Using Excel Solver to solve an LP
  • Interpretation of the optimal solution, sensitivity analysis

Other optimisation techniques, including heuristic methodologies.

If you are interested in further information, have any requirements (e.g. an alternative course date), or have difficulty booking a course online then please contact Jennie Phelps. It is recommended that courses are booked online. If this is not possible, then please print off, fill and fax or post the Training Course Booking Form.

 
Jennie Phelps   Address:  The OR Society, Seymour House, 12 Edward Street, Birmingham, B1 2RX, UK
  Tel: +44 (0)121 233 9300
  Fax: +44 (0)121 233 0321
  Email: jennie.phelps@theorsociety.com