Réduction du coût matière et élaboration d'un système de suivi et correction des surconsommations
Joisten, Quentin
Promotor(s) : Chanteux, Anne
Date of defense : 23-Jun-2017 • Permalink : http://hdl.handle.net/2268.2/2652
Details
Title : | Réduction du coût matière et élaboration d'un système de suivi et correction des surconsommations |
Author : | Joisten, Quentin |
Date of defense : | 23-Jun-2017 |
Advisor(s) : | Chanteux, Anne |
Committee's member(s) : | Peiffer, Véronique
Crama, Yves Moll, Bernard |
Language : | French |
Number of pages : | 150 |
Keywords : | [en] material overconsumption [en] DMAIC [en] 7 basic quality tools [en] data quality improvement [en] flowchart [en] FMEA |
Discipline(s) : | Business & economic sciences > Finance |
Target public : | Professionals of domain |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en ingénieur de gestion, à finalité spécialisée en Performance Management and Control |
Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[en] In this project-thesis, we study the material overconsumption from Shur-Lok International, a subsidiary company from the PCC group. We use the DMAIC (Define, Measure, Analyse, Improve and Control) project management technique combined to the 7 basic quality tools for processes improvement in order to conduct our approach. Quickly, the company’s poor data quality prevents us from going further. As a result, we decide to take a step back from the original project in order to improve the data quality.
Thus, we represent the company’s processes using flowcharts in order to identify the steps at which the data quality is corrupted. Afterwards, we use the FMEA (Failure Mode Effects Analysis) technique to get a priority list from the failure mode’s risk priority number.
Once the failure modes with a risk priority number above the acceptable threshold are identified, we define guidelines to prevent the failure modes to occur. The guidelines are built in association with the manufacturing workforce in order to come up with practical solutions. We had the opportunity to implement some of these guidelines and, as planned, they appear to improve the company’s data quality concerning the material overconsumption.
Afterwards, we explain how the material overconsumption study should be resumed once the company will obtain reliable data. Finally, we present our beliefs regarding the impact of the data quality improvement on the analysis and we explain why it is important for the company to carry on these improvements and the study of material overconsumption.
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