A Decision Support System for On-Demand Goods Delivery Using Shared Autonomous Electric Vehicles
| Autor: | Amel Jaoua, Anjali Awasthi, Marouen Ben Ammar |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050210 logistics & transportation
Decision support system General Computer Science Operations research Computer science 05 social sciences 02 engineering and technology Sizing Modeling and Simulation On demand 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Strategic decision support |
| Zdroj: | International Journal of Decision Support System Technology. 11:72-88 |
| ISSN: | 1941-630X 1941-6296 |
| DOI: | 10.4018/ijdsst.2019040105 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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