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MBC - BENCHMARKING AND PERFORMANCE ANALYSIS

2017-2018

IESEG School of Management ( IÉSEG )

Code Cours :

1718-IÉSEG-MBAC1S2-OPS-MBCCE05UE

OPERATIONS MANAGEMENT


Niveau Année de formation Période Langue d'enseignement 
MSc in Business Analysis & Consulting1S2English
Professeur(s) responsable(s)JP.BOUSSEMART
Intervenant(s)Jean-Philippe BOUSSEMART, H.LELEU


Pré requis

Basic accounting
Basic microeconomics
Intermediate descriptive statistics
Basic optimization methods
Intermediate skills on Excel and data manipulation

Objectifs du cours

At the end of the course, the student should be able to :
measure and explain producer performances.
- define and measure efficiency and productivity.
- apply microeconomic analysis to decision methods of businesses or other management units.
- bridge economic theory and management in practice.
- use quantitative techniques such as index numbers, productivity accounting, price recoveries.
- apply benchmarking and performance analysis to real managerial data

Contenu du cours

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) Real world application: Efficiency Analysis of Banking Companies
a) The Data set and the Variables of the Production Function
b) Computations and interpretations of results

4) Dual interpretation of DEA linear programs and its link with Total Factor Productivity
a) Duality in linear programming and the interpretation of shadow prices
b) Relationship between DEA scores and usual productivity indexes


Modalités d'enseignement

Organisation du cours

TypeNombre d'heuresRemarques
Independent study
Group Project48,00  
Estimated personal workload12,00  
Face to face
Interactive class16,00  
Coaching16,00  
Charge de travail globale de l'étudiant92,00  

Méthodes pédagogiques

  • Presentation
  • Research
  • Project work
  • Interactive class
  • Coaching


Évaluation

A real world project is developed in groups of two students. A powerpoint document is prepared and presented orally to a committee composed of academic and professional members.

Type de ContrôleDuréeNombrePondération
Continuous assessment
Participation32,00120,00
Others
Group Project0,00140,00
Oral presentation20,00140,00
TOTAL     100,00




 
* Informations non contractuelles et pouvant être soumises à modification
 
 
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