Abstract
Large amounts of real-time and multisource manufacturing information is created by the wide application of auto-ID devices in manufacturing shop floors. In this chapter, a novel material handling model is proposed to improve the decision making based on the real-time and multisource manufacturing information. Comparing with existing central material handling method, the proposed method allows each trolley to request the move task actively, and each trolley could get the optimal move tasks according to their real-time status. Three key technologies are designed and developed to implement the presented material handling model. They are respectively as Internet of things (IoT)-enabled smart trolley, real-time information exchange mechanism, and combination optimization method for material handling tasks. In addition, a case study is used to illustrate the presented method, and two evaluation indicators (i.e., empty-loading ratio and total distance) are selected to verify the method’s effectiveness.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Optimization of Manufacturing Systems Using the Internet of Things
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
