An RFID-Driven Graphical Formalized Deduction for Describing the Time-Sensitive State and Position Changes of Work-in-Progress Material Flows in a Job-Shop Floor

Jiang, Pingyu; Cao, Wei

doi:10.1115/1.4024037

Cited by 27 publications

(5 citation statements)

References 28 publications

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“…When the tags are within the range of the readers' electromagnetic induction signal, they can sense and read the corresponding tags information. RFID readers usually contain fixed, mobile, and vehicle-mounted [21]. In the workshop, fixed readers are often installed on devices with relatively unchanged spatial positions, such as processing units and entrance guard system of warehouse.…”

Section: Rfid Configuration Schemementioning

confidence: 99%

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An RFID Data Matrices‐Based Evaluation Method for Process Logistics State

Feng

Han

Zhang

et al. 2019

Mathematical Problems in Engineering

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At present, radio frequency identification (RFID) technology has been widely applied in manufacturing industry. How to use collected RFID data to effectively evaluate process logistics state is an urgent problem. Firstly, process logistics state model based on extended disjunctive graph was established. Secondly, configuration scheme of RFID readers/tags and production elements was proposed according to the time and space characteristics of process logistics. Then, process logistics state matrices including jobs, warehouses, buffers, machine tools, and vehicles were constructed. The real-time process logistics states can be deduced by operation of above data matrices. Finally, a case study was proposed to verify the feasibility of the proposed methods.

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Section: Rfid Configuration Schemementioning

confidence: 99%

“…(5) The transportation time of the finished parts of the job 푖 , that is, the transportation time WCT(i) from the processing unit corresponding to the last process to the finished parts warehouse, can be calculated by (21): of machine tool M k in processing unit U k up to the current time, described as L Mk(t):…”

Section: Out/in Warehouse Information Analysismentioning

confidence: 99%

An RFID Data Matrices‐Based Evaluation Method for Process Logistics State

Feng

Han

Zhang

et al. 2019

Mathematical Problems in Engineering

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“…In the authors’ early research, an RFID-driven graphical formalized deduction model was proposed for monitoring the time-sensitive state changes of material flow in a job shop. 10–12…”

Section: Introductionmentioning

confidence: 99%

Production events graphical deduction model enabled real-time production control system for smart job shop

Wang

Jiang

2017

Proceedings of the Institution of Mechanical Engineers, Part C:

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Under industry 4.0, the production control system of smart job shop should be able to real-time respond to various production events and effectively coordinate different kinds of manufacturing resources in good order according to their material flows. Production events enabled real-time production control system is good at responsibility and flexibility. Internet of things (IoT) can provide enormous real-time production events, which represent the change of material flows. However, some of production events seriously interfere with production control procedures. They sharply restrict the real-time capability of production control system. Thus, it is imperative that an efficient realization method of production control system, which is enabled by useful production events. Additionally, the control system should satisfy production control procedures visibility. For solving the problems, a production events graphical deduction model enabled real-time production control system for smart job shop is proposed in this article. Firstly, the manufacturing resources are divided into work in process related, operator-related, cutting tool-related, fixture tool-related, and measuring tool-related. And the material flows of different manufacturing resources in IoT-enabled smart job shop are described in detail. Secondly, the graphical deduction model of production event is put forward. Based on the model, the material flows of manufacturing resources in a process are segmented into several stages according to different production events. And then, the cooperation model of manufacturing resources is established by using the time and logical relationships between production events. Thirdly, the control model in a process is drawn from the cooperation model. Next, the entire control procedure of work in process production in IoT-enabled smart job shop is proposed. Finally, a small-scale IoT-enabled manufacturing system is used to verify the feasibility of the proposed model and methods.

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“…Many other industries, however, have adopted RFID technology. Typi cally, RFID is adopted to improve logistics and SC flows (Baars et al, 2009 ;Cao et al, 2018;Gladysz & Santarek, 2015), as well as manufacturing operations (Cao et al, 2017 ;Jiang & Cao, 2013 ;Ruppert et al, 2018 ;Xiang et al, 2017). Digital SC, leveraging RFID, can yield better and faster decisions, better visibility and quality of information, improved processes and productivity, reduced operating costs for logistics, and improved compe titive positions (Attaran, 2020).…”

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confidence: 99%