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Modèle d'ordonnancement d'un flow shop flexible avec opérateurs partagés pour l'aide à la planification dans une PME spécialisée dans la production des supports visuels

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Bayrak, Tolga ULiège
Promotor(s) : Bay, Maud ULiège
Date of defense : 20-Jun-2016 • Permalink : http://hdl.handle.net/2268.2/1501
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Title : Modèle d'ordonnancement d'un flow shop flexible avec opérateurs partagés pour l'aide à la planification dans une PME spécialisée dans la production des supports visuels
Author : Bayrak, Tolga ULiège
Date of defense  : 20-Jun-2016
Advisor(s) : Bay, Maud ULiège
Committee's member(s) : Deneye, Pierre ULiège
FRAIKIN, Etienne 
Ittoo, Ashwin ULiège
Language : French
Number of pages : 106
Keywords : [en] tardy jobs
[en] print
[en] operators
[en] shared resource
[en] release dates
[en] MIP model
[en] flexible flow shop
[en] scheduling
Discipline(s) : Business & economic sciences > Production, distribution & supply chain management
Business & economic sciences > Quantitative methods in economics & management
Target public : Other
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en ingénieur de gestion, à finalité spécialisée en Supply Chain Management and Business Analytics
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[en] Scheduling problems are among the issues which are faced by almost every organization in the world. Optimally scheduling its activities allows a company to make the best use of its resources, let them be financial, human or machines. Unfortunately, it is seldom possible to simply use an existing solution. The aim of this thesis is to develop an MIP-based model taking into account the needs of a Belgian SME in the printing industry. This model’s objective is to be used as a decision making support tool, both on a day-to-day basis as well as for longer term strategic planning. The machine environment is modeled as a flexible flow shop. The extra constraints to take into account are release dates, an extra shared resource (operators) and the fact that some operations can be started at the end of the day and processed during the night without any supervision. The function to minimize is the sum of tardy jobs. The model was tested according to three scenarios using real historic data from the company and the modelling software Aimms. The results show that the tool is usable in practice for instances where at most 5 stages are considered. Unfortunately, I was not able to compare the results obtained with real delivery times. Therefore, I can’t confirm with certainty that the model offers better planning solutions. However, I am optimistic for the possibilities of this tool, especially at a strategic decision making level.


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Author

  • Bayrak, Tolga ULiège Université de Liège > Master ingé. gest., fin. spéc. supply chain man. (ex 2e ma.)

Promotor(s)

Committee's member(s)

  • Deneye, Pierre ULiège Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > UER Opérations
    ORBi View his publications on ORBi
  • FRAIKIN, Etienne
  • Ittoo, Ashwin ULiège Université de Liège - ULg > HEC-Ecole de gestion de l'ULg : UER > Systèmes d'information de gestion
    ORBi View his publications on ORBi
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  • Total number of downloads 0










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