Conception et application d'une méthodologie multicritère floue de sélection de logiciels de planification et d'ordonnancement avancé (APS)

Abstract

With globalization, business growth and increasingly demanding customer needs, the challenges in terms of planning and scheduling of operations in the manufacturing environment are constantly growing. Faced with this situation, manufacturing companies are being forced to update their planning and scheduling policies by adopting new planning systems and approaches such as advanced planning and scheduling (APS). In this exercise, companies wishing to implement APS approaches generally have two possibilities. They may choose to develop a customized solution or implement commercial APS software. This second option is the one to which most of today’s company turn. The objective of this work is to assist companies wishing to improve the planning and scheduling of their operations by selecting and implementing a commercial APS software. Specifically, the purpose of this work is to evaluate and select among commercial APS software available on the market the one that best meets the needs of the company. Three sub-objectives have been identified: the mapping of the company’s planning and scheduling processes, the capture of the company’s needs and the design of a novel selection methodology integrating under uncertainty the needs of the company and the criteria and sub criteria for selection. The methodology adopted for this study is the one dictated by the design of science, which allows the iteration of the design process to perfect and validate the results or deliverables obtained. Data is collected from in-house decision-makers, and from experts using individual interviews and group interviews. Furthermore, as contributions of the research, three methods have been designed. The first method makes it possible to map the processes of the company. The second method is designed to capture business needs while the third method integrates the quality function deployment (QFD), the analytic hierarchy process (AHP) and the VIKOR method for the selection of the software that best meets the needs of the company. This integration is made possible by implementing a modified version of the QFD. Uncertainty in the data from surveys addressed to experts and decision-makers is considered by using fuzzy logic and linguistic variables. The global approach of the study is applied to a real manufacturing company case. The results of this application show the relevance of the methods developed facing the problem of selecting an APS software.

Date	28 May 2018
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Yvan Beauregard (Supervisor) & Jean-Pierre Kenné (Co-supervisor)