Tactical and operational planning of sustainable supply chains : a study in the frozen food industry
Notice bibliographique
Résumé
Nowadays, the management in the food sector is facing dynamics and complexity in supply chains more than ever. Managers need to figure out new sustainability issues in their company in order to gain a competitive advantage. Planning and design of a food supply chain are associated with an integrated and complicated decision-making process. To design and evaluate the performance of a food supply chain, different criteria and conflicting objectives must be integrated. Besides, the decisions need to be taken at different levels (strategic, tactical and operation) and stages (supplier, manufacturing, distribution, and transportation). \n \nFurthermore, the sector has been considered as the second biggest emitter of greenhouse gases after energy, and it requires cutting the emissions from its growth. Not to mention that food supply chains are heavily associated with social structures since many players and agents are involved in this system. However, there have been few attempts to optimize economic, environmental and social concerns simultaneously, especially in food supply chains. Incorporating sustainability dimensions into decision making and finding a trade-off between objectives are challenging. This is even more challenging when a supply chain deals with issues related to perishability and seasonality. Therefore, a decision support tool that can consider all these aspects is required. \n \nIn this thesis, the aim is to propose a novel and more realistic approach to design sustainable supply chains. The primary objective of this thesis is to develop an integrated tactical-operational planning model for sustainable supply chains. First, we provide a supply chain model to support the tactical planning that integrates the three dimensions of sustainability: total cost, GHG emissions, and social responsibilities. Secondly, we extend our model in order to ensure a more realistic representation of the supply chain considered in this research by proposing a multi-objective optimization model. A solution methodology is developed to cope with multiple conflicting objectives in reasonable solution time. In addition, the operation of a supply chain network is simulated using a discrete-event simulation model to analyze the supply chain network configuration obtained from the tactical planning model. The tactical optimization model can get insights on the best network configuration which combined with the operational simulation model helps realize the practicability of a given configuration and sustainable strategy. Eventually, this study propose an integrated approach to validate the decisions made at the tactical planning level and ensure the feasibility of sustainability goals in both planning levels. This work gives researchers and practitioners insights on how to design/redesign a sustainable supply chain and evaluate supply chain performance in order to achieve sustainability goals.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».