HEC Montréal, Canada, May 6 - 8, 2013
2013 Optimization Days
HEC Montréal, Canada, 6 — 8 May 2013
WA7 Optimisation multiobjectif / Multiobjective Optimization
May 8, 2013 10:30 AM – 12:10 PM
Chaired by Behnaz Saboonchi
10:30 AM - 10:55 AM
A Bi-Objective Tactical Planning model for the Reverse Supply Chain of Durable Products
We proposes an integrated acquisition, grading, and disposition planning model in the reverse supply chain of durable product returns with two quality levels. Two objective functions based on the economic and environmental criteria are considered. The model is solved for the electronics waste case by the epsilon constraint method.
10:55 AM - 11:20 AM
Bi-Objective Reverse Supply Chain Design for Durable Products
This paper proposes a network design model for the reverse supply chain of durable products with two quality states, while coordinating the forward and backward flows. Two objectives are considered in the model based on economic and environmental criteria. The model is solved for the washing machines case by themethod.
11:20 AM - 11:45 AM
Approche multicritère pour la prise de décision des modèles d’affaire en maintenance
Les coûts associés à la maintenance des biens en entreprise est une réelle préoccupation en maintenance. Notre contribution utilise une approche multicritère, basée sur l’évaluation de la performance d’une activité de maintenance vis-à-vis des aspects techniques, stratégiques, économiques et environnementaux...etc. permettant de développer un modèle d’affaire approprié en maintenance.
11:45 AM - 12:10 PM
A Comparison of Conventional and Fuzzy Methods in Decision Making Involving Performance Appraisal Process
The purpose of this paper is to address the performance appraisal process via conventional and Fuzzy methods. This research work shows that the Fuzzy method is an easy to understand and realistic method as it gives better understanding of the relative strengths and weaknesses of employees which improve competitive advantage.
12:10 PM - 12:35 PM
Bi-Objective Variable Neighborhood Search for the p-Diversity-Proximity Problem
Dispersion models address the cannibalization phenomenon within franchised chains by the maximization of dispersion among the units without considering their proximity to the clients. We propose a bi-objective location model that is aimed at maximizing the dispersion among the newly located units while minimizing their gravity-based distance to the customer zones.