Academic Journal
Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic
| العنوان: | Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic |
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| المؤلفون: | Vahdani, Behnam, Mohammadi, Mehrdad, Thevenin, Simon, Meyer, Patrick, Dolgui, Alexandre |
| المساهمون: | Département Automatique, Productique et Informatique (IMT Atlantique - DAPI), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Equipe DECIDE (Lab-STICC_DECIDE), Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT), Msc. Student, Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran, Modélisation, Optimisation et DEcision pour la Logistique, l'Industrie et les Services (LS2N - équipe MODELIS), Laboratoire des Sciences du Numérique de Nantes (LS2N), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-NANTES UNIVERSITÉ - École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Nantes Université (Nantes Univ), Département Logique des Usages, Sciences sociales et Sciences de l'Information (IMT Atlantique - LUSSI) |
| المصدر: | ISSN: 0305-0483 ; Omega ; https://hal.science/hal-04232233 ; Omega, 2023, 120, pp.102909. ⟨10.1016/j.omega.2023.102909⟩. |
| بيانات النشر: | HAL CCSD Elsevier |
| سنة النشر: | 2023 |
| المجموعة: | Université de Nantes: HAL-UNIV-NANTES |
| مصطلحات موضوعية: | [INFO]Computer Science [cs], [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering, [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC] |
| الوصف: | International audience ; The COVID-19 virus’s high transmissibility has resulted in the virus’s rapid spread throughout the world, which has brought several repercussions, ranging from a lack of sanitary and medical products to the collapse of medical systems. Hence, governments attempt to re-plan the production of medical products and reallocate limited health resources to combat the pandemic. This paper addresses a multi-period production-inventory-sharing problem (PISP) to overcome such a circumstance, considering two consumable and reusable products. We introduce a new formulation to decide on production, inventory, delivery, and sharing quantities. The sharing will depend on net supply balance, allowable demand overload, unmet demand, and the reuse cycle of reusable products. Undeniably, the dynamic demand for products during pandemic situations must be reflected effectively in addressing the multi-period PISP. A bespoke compartmental susceptible-exposed-infectious-hospitalized-recovered-susceptible (SEIHRS) epidemiological model with a control policy is proposed, which also accounts for the influence of people’s behavioral response as a result of the knowledge of adequate precautions. An accelerated Benders decomposition-based algorithm with tailored valid inequalities is offered to solve the model. Finally, we consider a realistic case study – the COVID-19 pandemic in France – to examine the computational proficiency of the decomposition method. The computational results reveal that the proposed decomposition method coupled with effective valid inequalities can solve large-sized test problems in a reasonable computational time and 9.88 times faster than the commercial Gurobi solver. Moreover, the sharing mechanism reduces the total cost of the system and the unmet demand on the average up to 32.98% and 20.96%, respectively. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | hal-04232233; https://hal.science/hal-04232233; https://hal.science/hal-04232233/document; https://hal.science/hal-04232233/file/1-s2.0-S0305048323000737-main.pdf |
| DOI: | 10.1016/j.omega.2023.102909 |
| الاتاحة: | https://hal.science/hal-04232233 https://hal.science/hal-04232233/document https://hal.science/hal-04232233/file/1-s2.0-S0305048323000737-main.pdf https://doi.org/10.1016/j.omega.2023.102909 |
| Rights: | http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.786A4D9F |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.omega.2023.102909 |
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