Essec\Faculty\Model\Contribution {#2188
  #_index: "academ_contributions"
  #_id: "13094"
  #_source: array:26 [
    "id" => "13094"
    "slug" => "collaborative-truck-and-drone-delivery-for-inventory-routing-problems"
    "yearMonth" => "2023-01"
    "year" => "2023"
    "title" => "Collaborative Truck-and-Drone Delivery for Inventory-Routing Problems"
    "description" => "NAJY, W., ARCHETTI, C. et DIABAT, A. (2023). Collaborative Truck-and-Drone Delivery for Inventory-Routing Problems. <i>Transportation Research Part C: Emerging Technologies</i>, 146, pp. 103791."
    "authors" => array:3 [
      0 => array:3 [
        "name" => "ARCHETTI Claudia"
        "bid" => "B00773540"
        "slug" => "archetti-claudia"
      ]
      1 => array:1 [
        "name" => "NAJY Waleed"
      ]
      2 => array:1 [
        "name" => "DIABAT Ali"
      ]
    ]
    "ouvrage" => ""
    "keywords" => array:4 [
      0 => "Unmanned aerial vehicles (UAVs)"
      1 => "Truck-and-drone"
      2 => "Inventory-routing problem (IRP)-"
      3 => "Branch-and-cut"
    ]
    "updatedAt" => "2023-02-08 09:29:21"
    "publicationUrl" => "https://doi.org/10.1016/j.trc.2022.103791"
    "publicationInfo" => array:3 [
      "pages" => "103791"
      "volume" => "146"
      "number" => ""
    ]
    "type" => array:2 [
      "fr" => "Articles"
      "en" => "Journal articles"
    ]
    "support_type" => array:2 [
      "fr" => "Revue scientifique"
      "en" => "Scientific journal"
    ]
    "countries" => array:2 [
      "fr" => null
      "en" => null
    ]
    "abstract" => array:2 [
      "fr" => """
        We investigate an inventory-routing problem (IRP) with collaborative truck-and-drone delivery.\n
        The goal is to design a collaborative delivery schedule involving both trucks and drones to optimize transportation and holding costs.\n
        The problem is formulated as a mixed integer program which is solved via branch-and-cut.\n
        A novel heuristic is proposed based on the solution of the droneless IRP, which is easier to solve.\n
        Computational experiments demonstrate the performance of the branch-and-cut algorithm as well as the heuristic.
        """
      "en" => """
        We investigate an inventory-routing problem (IRP) with collaborative truck-and-drone delivery.\n
        The goal is to design a collaborative delivery schedule involving both trucks and drones to optimize transportation and holding costs.\n
        The problem is formulated as a mixed integer program which is solved via branch-and-cut.\n
        A novel heuristic is proposed based on the solution of the droneless IRP, which is easier to solve.\n
        Computational experiments demonstrate the performance of the branch-and-cut algorithm as well as the heuristic.
        """
    ]
    "authors_fields" => array:2 [
      "fr" => "Systèmes d’Information, Sciences de la Décision et Statistiques"
      "en" => "Information Systems, Decision Sciences and Statistics"
    ]
    "indexedAt" => "2024-04-25T06:22:01.000Z"
    "docTitle" => "Collaborative Truck-and-Drone Delivery for Inventory-Routing Problems"
    "docSurtitle" => "Journal articles"
    "authorNames" => "<a href="/cv/archetti-claudia">ARCHETTI Claudia</a>, NAJY Waleed, DIABAT Ali"
    "docDescription" => "<span class="document-property-authors">ARCHETTI Claudia, NAJY Waleed, DIABAT Ali</span><br><span class="document-property-authors_fields">Information Systems, Decision Sciences and Statistics</span> | <span class="document-property-year">2023</span>"
    "keywordList" => "<a href="#">Unmanned aerial vehicles (UAVs)</a>, <a href="#">Truck-and-drone</a>, <a href="#">Inventory-routing problem (IRP)-</a>, <a href="#">Branch-and-cut</a>"
    "docPreview" => "<b>Collaborative Truck-and-Drone Delivery for Inventory-Routing Problems</b><br><span>2023-01 | Journal articles </span>"
    "docType" => "research"
    "publicationLink" => "<a href="https://doi.org/10.1016/j.trc.2022.103791" target="_blank">Collaborative Truck-and-Drone Delivery for Inventory-Routing Problems</a>"
  ]
  +lang: "en"
  +"_type": "_doc"
  +"_score": 8.994917
  +"parent": null
}