A Decision Support System for On-Demand Goods Delivery Using Shared Autonomous Electric Vehicles

Amel Jaoua, Marouen Ben Ammar and Anjali Awasthi
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Amel Jaoua: UR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia
Marouen Ben Ammar: UR-OASIS, National Engineering School of Tunis, University of Tunis El Manar, Tunis, Tunisia
Anjali Awasthi: Concordia Institute for Information Systems Engineering, Concordia University, Montreal, Canada

International Journal of Decision Support System Technology (IJDSST), 2019, vol. 11, issue 2, 72-88

Abstract: This article presents a strategic decision support system (DSS) for on-demand delivery companies in urban areas. This DSS is designed and developed for the promising new concept of goods delivery based on a fleet of Shared Autonomous Electric Vehicles (SAEVs). A simulation-based optimization model is proposed to solve the fleet sizing and composition problems. The efficiency of the developed strategic DSS in determining best fleet size and composition under different scenarios is demonstrated. This article provides managerial insights to help goods delivery companies, who intend to use SAEVs, in determining the type and number of vehicles to acquire.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:11:y:2019:i:2:p:72-88

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