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Establishment
Language of instruction
English
Teaching content
OPERATIONS MANAGEMENT
This course occurs in the following program(s)
MSc in Business Analysis & Consulting
- Crédits ECTS: 4.00
Training officer(s)
JP.BOUSSEMART
Stakeholder(s)
H.LELEU, Jean-Philippe BOUSSEMART
Présentation
Prerequisite
Basic accounting
Basic microeconomics
Intermediate descriptive statistics
Basic optimization methods
Intermediate skills on Excel and data manipulation
Basic microeconomics
Intermediate descriptive statistics
Basic optimization methods
Intermediate skills on Excel and data manipulation
Goal
measure and explain producer performances.
- define and measure efficiency and productivity. (LO7A)
- apply microeconomic analysis to decision methods of businesses or other management units. (LO5C, LO7C)
- bridge economic theory and management in practice. (LO5A)
- use quantitative techniques such as index numbers, productivity accounting, price recoveries.(LO5A)
- apply benchmarking and performance analysis to real managerial data. (LO5D, LO7B)
- develop a research project within a multi-cultural student group. (LO1A)
- present results orally to a committee composed of academic and professional members. (LO1C)
- define and measure efficiency and productivity. (LO7A)
- apply microeconomic analysis to decision methods of businesses or other management units. (LO5C, LO7C)
- bridge economic theory and management in practice. (LO5A)
- use quantitative techniques such as index numbers, productivity accounting, price recoveries.(LO5A)
- apply benchmarking and performance analysis to real managerial data. (LO5D, LO7B)
- develop a research project within a multi-cultural student group. (LO1A)
- present results orally to a committee composed of academic and professional members. (LO1C)
Presentation
The course is divided in two main chapters. First, performances of DMUs are analyzed through a decomposition of profit change into quantity and price effects. We present a general methodology based on productivity literature in economics to measure the economic value creation and its distribution among stakeholders. Second, benchmarking methods are introduced. Productive performance can be measured with a variety of econometric and mathematical techniques. We will focus our attention on one family of them called “Data Envelopment Analysis” (DEA) and based on linear programming.
Chapter I
1) Profit change or Global Performance, Productivity Surplus and Price Advantage
a) Profit decomposition
b) An illustrative example
c) Real world applications
2) Index numbers and productivity measurement
a) Conceptual Framework and Formulae
b) Productivity and Price recovery indexes
c) Real world applications
3) Productivity Accounting
a) Productivity Surplus and TFP growth rate
b) Distribution of the financial benefits of productivity changes
c) Case studies
Chapter II
1) Production Frontiers and Productive Efficiency
a) Efficiency and Productivity: Definitions
b) Different Measures of Productive Efficiency
2) Non Parametric Efficiency Measures and the DEA Model
a) The productive possibility set: Definition and Assumptions
b) DEA and its associated linear programs
c) DEA computations of efficiency scores with Excel
3) Illustrative example
a) The Data set and the Variables
b) Computations and interpretations of results
Chapter I
1) Profit change or Global Performance, Productivity Surplus and Price Advantage
a) Profit decomposition
b) An illustrative example
c) Real world applications
2) Index numbers and productivity measurement
a) Conceptual Framework and Formulae
b) Productivity and Price recovery indexes
c) Real world applications
3) Productivity Accounting
a) Productivity Surplus and TFP growth rate
b) Distribution of the financial benefits of productivity changes
c) Case studies
Chapter II
1) Production Frontiers and Productive Efficiency
a) Efficiency and Productivity: Definitions
b) Different Measures of Productive Efficiency
2) Non Parametric Efficiency Measures and the DEA Model
a) The productive possibility set: Definition and Assumptions
b) DEA and its associated linear programs
c) DEA computations of efficiency scores with Excel
3) Illustrative example
a) The Data set and the Variables
b) Computations and interpretations of results
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Travail personnel | |||
| Group Project | 48,00 | ||
| Charge de travail personnel indicative | 20,00 | ||
| Présentiel | |||
| Cours interactif | 16,00 | ||
| Coaching | 16,00 | ||
| Overall student workload | 100,00 | ||
Evaluation
A real world project is developed in groups of two or three students drawn randomly to ensure intercultural team. A powerpoint document is prepared and presented orally to a committee composed of academic and professional members
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Contrôle continu | |||
| Participation | 32,00 | 1 | 20,00 |
| Autres | |||
| Projet Collectif | 0,00 | 1 | 40,00 |
| Soutenance orale | 0,20 | 1 | 40,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliography
An Introduction to Efficiency and Productivity Analysis Tim Coelli, D.S. Prasada Rao and Goerge E. Battese, Kluwer Academic Publishers, Seventh Printing, 2002 -
The Measurement of Productive Efficiency Harold O. Fried, C.A. Knox Lovell, Shelton S. Schmidt, editors, Oxford University Press, 2008 -
Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References William W.Cooper, Laurence M. Seiford and Kaoru Tone, Springer, 2005 -
The Measurement of Productive Efficiency Harold O. Fried, C.A. Knox Lovell, Shelton S. Schmidt, editors, Oxford University Press, 2008 -
Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References William W.Cooper, Laurence M. Seiford and Kaoru Tone, Springer, 2005 -