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OPERATIONS RESEARCH – PRODUCTION SYSTEMS OPTIMISATION

module title module code level of module year of study semester/trimester when the module is delivered

OPERATIONS RESEARCH – PRODUCTION SYSTEMS OPTIMISATION

270 711 1st (U/G) 4th FALL
Name / e-mail of lecturer(s) Weekly Hours ECTS module type (comp., opt.) mode of delivery (face to face, distance learning)
Prof. Emilia KONDILI (ekondili@teipir.gr) Lect. Lab.
5 0 5 optional face to face
module web Page
learning outcomes This integrated Optimisation course starts with the most significant aspects of Operations Research and optimization ideas and practices and it focuses in its applications in Energy systems.

The aim of the Course is to provide the state of the art of operational research methods and tools in the optimal design and implementation of a wide range of synchronous problems. The usefulness of OR applies on the modelling of   many managerial and/or technological decisions requiring an optimal decision (max or min). For this purpose the fundamental decision making tools (LP, MILN, NLP) are analysed, employed and solved with appropriate software applications (i.e. office SOLVER). Various optimization problems are analysed as cases in the continuation of the Module.

The integration of concepts, laws and methodologies from thermodynamics, heat transfer, economics for the solution of energy and environmental problems. The modeling of simple and more complicated energy systems. The optimization of energy systems in terms of integrated efficiency and profitability. The use of mathematical programming for the analysis and optimization of energy systems.

prerequisites and co-requisites:
recommended optional programme components
module description BASIC CONCEPTS

  • Theoretical and practical issues in decision-making
  • The science and the art of modeling
  • From the real problem to the mathematical mode
  • Types of models

LINEAR PROGRAMMING

  • Introduction in linear programming (LP)
  • Identification of linear programming problems
  • The basic steps in developing LP models
  • Various examples and Exercises of LP problems
  • The solution of LP problems. The Simplex method, the graphical method and the use of LP software
  • LP examples from the field of Mechanical Engineering
  • Sensitivity analysis in LP
  • Case studies

INTEGER and MIXED INTEGER LINEAR PROGRAMMING

  • The necessity of using integer variables
  • The difficulty in solving Integer Programming problems
  • The role of binary variables in solving decision – making problems
  • Mixed integer linear programming, modeling and solution methods-
  • Case studies
  • Computational applications (EXCEL, LINDO)
  • General revision in mathematical programming

NETWORKS

  • The significance and the practical implications of Network Analysis
  • The Shortest Path Problem
  • The Spanning Tree Problem
  • The Maximal Flow Problem

SPECIAL APPLICATIONS

  • Other important aspects and problems of Operations Research

Case Studies:

  • Energy use in the industry
  • Energy intensive industrial sectors
  • The concept and applications of energy efficiency
  • The basic objectives and ideas of the optimization
  • Most widely applied optimization techniques
  • Energy management
  • Energy Audits and Energy Management Systems
  • Pinch Technology
recommended or required bibliography: Essential reading

Lecture Notes
Recommended Books & Journals

  1. INTRODUCTION TO OPERATIONS RESEARCH, Frederick S.,Hillier, McGraw-Hill Education – Europe, ISBN10: 0071181636, ISBN13: 9780071181631, 2000,
  2. ‘Engineering Optimisation. Methods and Applications’, Ravindran A., Ragsdell K. M., Reklaitis G.V., Wiley, 2nd Edition, 2006
  3. Energy Optimisation in Process systems, Stanisław Sieniutycz and Jacek Jeżowski, Elsevier , ISBN: 978-0-08-045141-1,  ELSEVIER, 2009
  4. Modeling and Optimization of Renewable Energy Systems, Edited by Arzu Sencan Sahin, ISBN 978-953-51-0600-5, 298 pages, Publisher: InTech, 2011
  5. SUSTAINABILITY IN THE PROCESS INDUSTRY: INTEGRATION AND OPTIMIZATION, Jiri Klemes, Ferenc Friedler, Igor Bulatov, Petar Varbanov, ISBN: 9780071605540
  6. ‘Optimisation of Chemical Processes’, Edgar, T.F., Himmelblau, D.M, McGraw Hill
  7. ‘Fundamental Principles of Systems Analysis and Decision-Making’, Ossenbruggen P., J.:, John Wiley @ Sons, Inc
  8. A. Bejan, G. Tsatsaronis, M. Moran, 1996, Thermal Design and optimization, J. Willey & Sons.
  9. W. Stoecker, 1989, Design of Thermal Systems, McGraw – Hill.
  10. J. Ahern, 1980, The Exergy Method of Energy Systems Analysis, J. Willey & Sons
  11. B. K. Hodge, R.P. Taylor, 1999, Analysis and Design of Energy Systems, Prentice Hall.
  12. V. Jalaria, 1997, Design and Optimization of Thermal Systems, McGraw – Hill.
  13. W. Sullivan – A. Bontanelli – E. Wichs, 2000, Engineering Economy, Prentice – Hall.
  14. L.T. Blank, A. Tarquin, 1996, Engineering Economy, McGraw – Hill.
planned learning activities and teaching methods:
assessment methods and criteria: Class participation (0%)

Mock tests – Assignments (40%)

Final exam (60%)

Laboratory work (0%)

language of instruction: English

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