Vehicle Park Management Through The Goal Programming Model
Bibliographic record
Abstract
AbstractThe “Ministère des transports du Québec” has a fleet of equipment to maintain the roads of the province of Quebec. The management of the fleet is the responsibility of the “Centre de Gestion de l’équipement Roulant”. They decide whether an old item of equipment will be sold, replaced or maintained. Several factors, sometimes conflicting, come into play in the decision making process. They include reducing the fleet by 20%, respecting the budget, meeting the customer requirements, and maintaining and renovating certain aspects of the equipment. As a management tool, we propose Goal Programming model with the integration of the decision-maker’s preferences,RésuméLe Ministère des Transports du Québec dispose d’une flotte d’équipements pour l’entretien des routes de la province du Québec. L’unité responsable de la gestion de ce parc est le Centre de Gestion de l’équipement Roulant qui doit décider pour chaque unité ou équipement soit de continuer à l’entretenir, le vendre ou le remplacer. Plusieurs facteurs, souvent conflictuels, sont à considérer lors du processus décisionnel tels que : réduire la flotte de 20%, respecter l’enveloppe budgétaire, répondre aux besoins des clients ou encore maintenir un certain rajeunissement du parc. Dans le présent document, nous proposons comme outil de gestion le modèle du “Goal Programming” avec l’intégration des préférences du gestionnaire.Key words:: Vehicle Park ManagementGoal Programming ModelManagers’ PreferencesSatisfaction Functions.Mots-clés:: la gestion du parc des équipements roulantsle modèle du Goal Programmingles préférences des gestionnairesles fonctions de satisfaction. Additional informationNotes on contributorsHamid GoghrodHamid Goghrod is a Canada Customs and Revenu Agency employee. He received his MBA in management sciences from Laval univesity (Quebec) and MSC in eanh sciences from université du Québec à Chtcoutimi. His current research interest focus on multi-objective programmingJean-Marc MartelJean-Marc Martel est professeur émèrite de la Faculté des Sciences de l’Administration de l’université Laval. Ses principaux intérts de recherche portent sur l’aide multicritère à la décision dans un environnement incertain, sur l’aide à la décision en groupe et sur les démarches participatives. Il est l’auteur ou le co-auteur de plusieurs volumes, de très nombreuses publications dans des revues académiques et professionnelles et a contribué à un bon nombre d’ouvrages collectifs.Belaïd AouniBelaïd Aouni is a professor at School of Commerce and Administration at Laurentian University. He holds a Ph.D. and a master degree in management science from Laval university. His research is published in scientific journals such as Operational Research Society, Journal of Global Optimization, Information Systems ami Operational Research and European Journal of Operational Research. His research interest includes multi-criteria decision aid, multi-objective programming and goal programming, optimization and operations management. Currently, he is the Vice-President of the Canadian Operational Research Society. He is also a member of several scientific associations in operational research and administrative sciences such as INFORMS and ASAC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".