Considering the influence of queue length on performance improvement for a new compact robotic automated parking system. (February 2020)

• Record Type: Journal Article
• Authors: Wu, Guangmei; Xu, Xianhao; Lu, Xinyuan
• Is Part Of: International journal of information management. Volume 50(2020)
• Page Start: 487
• Page End: 497
• Publication Date: 2020-02
• Subjects: Material handling -- Robotic automated parking system -- Compact storage -- Compact automated parking (CAP) system -- Performance evaluation; Social sciences -- Information services -- Periodicals; Social sciences -- Research -- Periodicals; Information science -- Periodicals; Management information systems -- Periodicals; Knowledge management -- Periodicals; Sciences sociales -- Documentation, Services de -- Périodiques; Sciences sociales -- Recherche -- Périodiques; Sciences de l'information -- Périodiques; Systèmes d'information de gestion -- Périodiques; Information science; Management information systems; Social sciences -- Information services; Social sciences -- Research; Periodicals; Electronic journals; 025.52068
• DOI: 10.1016/j.ijinfomgt.2019.04.002
• Languages: English
• ISSNs: 0268-4012

Abstract

Highlights: We study a new automated robotic mobile parking system. We consider the car stored in the inner and outer rotating rings separately. We build analytical models and simulation models of retrieval car time. We compare the CRAP system with CAP system in the car retrieval time and space utilization. Abstract: With the development of the BI (Business intelligence) applications, robots and robot-based technology appear in various fields. Compact robotic automated parking system will facilitate the informatization and modernization of urban development and environmental protection. Compact robotic automated parking (CRAP) system is a new system with higher storage utilization and rapid response to store and handle cars. This system has double storage rings, instead of one storage ring in old compact automated parking (CAP) system for storing cars in each tier, and each tier is equipped with inner rotating ring and tier-captive automated guided vehicle for horizontal transport. The CRAP system has one elevator with vertical automated guided vehicle in the outer ring instead of the center part in the old CAP system for vertical transport. We first estimate the system performance using queuing network models. Second, we validate the analytical models through simulation and a real case. The simulation results show that we make an accurate estimation. Third, we optimize system configurations by minimizing the car retrieval time. Finally, given the same storage capacity, we compare the car retrieval time based on a real application and footprint area of CRAP system with CAP system. The results show that the car retrieval time can be reduced by at least 29.7% when the system capacity C is 400, and the space utilization can be improved by at least 32.0%.