A fuzzy collaboration system for ubiquitous loading/unloading space recommendation in the logistics industry. (June 2017)

• Record Type: Journal Article
• Authors: Chen, Toly; Lin, Chi-Wei
• Is Part Of: Robotics and computer-integrated manufacturing. Volume 45(2017)
• Page Start: 86
• Page End: 98
• Publication Date: 2017-06
• Subjects: Loading/unloading space -- Recommendation -- Location-based social network -- Ubiquitous computing -- Location-based service; Robots, Industrial -- Periodicals; Computer integrated manufacturing systems -- Periodicals; Robotics -- Periodicals; Robots industriels -- Périodiques; Productique -- Périodiques; Robotique -- Périodiques; 670.285
• DOI: 10.1016/j.rcim.2016.03.001
• Languages: English
• ISSNs: 0736-5845

Abstract

Abstract: A fuzzy collaboration system was designed for ubiquitous loading/unloading space recommendation in the logistics industry. The designed system allows drivers to share information regarding the availability of loading/unloading spaces without providing the exact number of available loading/unloading spaces, thus promoting drivers to use the system. To derive the exact number of loading/unloading spaces from the inexact information, a quadratic programming problem was formulated and solved. In addition, driver location and speed were modeled using fuzzy numbers to account for the uncertainty of their locations. Subsequently, fuzzy cross-referencing was used so that loading/unloading space information can be referenced from more than one location. The proposed methodology was applied to a small region in Seatwen District, Taichung City, Taiwan. The designed system reduced the average time required for a driver to locate a nearby loading/unloading space by 72%. Highlights: Loading/unloading spaces are required to support the smooth operations of a logistics company. A fuzzy collaboration system was designed for ubiquitous loading/unloading space recommendation. The designed system reduced the average time to locate a nearby loading/unloading space by 72%.