Huaiji Dengyun Auto Parts Holding Co.

Zhaoqing, China

Huaiji Dengyun Auto Parts Holding Co.

Zhaoqing, China
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Zhong R.Y.,University of Hong Kong | Huang G.Q.,University of Hong Kong | Dai Q.Y.,Guangdong University of Technology | Zhang T.,Huaiji Dengyun Auto parts Holding Co.
Journal of Intelligent Manufacturing | Year: 2014

Radio frequency identification (RFID) has been widely used in manufacturing field and created a ubiquitous production environment, where advanced production planning and scheduling (APS) might be enabled. Within such environment, APS usually requires standard operation times (SOTs) and dispatching rules which have been obtained from time studies or based on past experiences. Wide variations exist and frequently cause serious discrepancies in executing plans and schedules. This paper proposes a data mining approach to estimate realistic SOTs and unknown dispatching rules from RFID-enabled shopfloor production data. The approach is evaluated by real-world data from a collaborative company which has been used RFID technology for supporting its shopfloor production over seven years. The key impact factors on SOTs are quantitatively examined. A reference table with the mined precise and practical SOTs is established for typical operations and suitable dispatching rules are labled as managerial implicities, aiming at improving the quality and stability of production plans and schedules. © 2012 Springer Science+Business Media New York.

Dai Q.,Guangdong University of Technology | Zhong R.,University of Hong Kong | Huang G.Q.,University of Hong Kong | Qu T.,University of Hong Kong | And 3 more authors.
International Journal of Computer Integrated Manufacturing | Year: 2012

Automotive vehicle manufacturers have been at the forefront of employing radio frequency identification (RFID) technology for their manufacturing logistics management. They have benefited from RFID-enabled shop-floor visibility and traceability, which have in turn facilitated the implementation of advanced manufacturing strategies such as just-in-time lean manufacturing and mass customisation. Initial successes have attracted attention and interests from small- and medium-sized enterprises (SMEs) involved in automotive part and component manufacturers down the automotive vertical. However, high levels of capital investments and technical skills have created practical hurdles for automotive SMEs to gain RFID benefits. This article reports on an industrial case study about the RFID implementation project at a typical SME engine valve manufacturer. This company manufactures a large variety of engine valves with a mixture of large and small orders. Work-in-progress items across the company have accumulated to an extreme level for human operations and decisions. The company adopted RFID-enabled shop-floor manufacturing solutions across the whole operations with little experience in the use of information systems/technology. Based on RFID-enabled real-time shop-floor data, the company has extended the efforts in setting up and integrating manufacturing execution system and enterprise resource planning system. The success of this case company demonstrates that RFID is not just for automotive giants but also practically useful to SME suppliers. The article presents a framework that has been followed by this case company with a hope that experiences and insights are useful to other automotive SMEs. © 2012 Copyright Taylor and Francis Group, LLC.

Yan Q.,Guangdong University of Technology | Song Y.,Guangdong University of Technology | Gao W.,Guangdong University of Technology | Kong H.,Huaiji Dengyun Auto Parts Holding Co.
Zhongguo Jixie Gongcheng/China Mechanical Engineering | Year: 2010

The transitional surfaces of a engine valve neck were processed with abrasive belt polishing method and the polishing characteristics of the transitional surfaces were analyzed, then the motion model and the contact state model were established. In the polishing process, the polishing linear velocity of the transitional surfaces changed drastically and the contact state between the abrasive belt wheel and the workpiece was variational, these will affect the processing stability and the machined surface quality. The contact state and the change rule between the engine valve transitional surface and the elastic belt wheel were studied, and the variation curve of the material removal in the polishing process was calculated theoretically, which is approximately in accordance with the experimental results.

Yu W.,Guangdong University of Technology | Cheng Y.,Guangdong University of Technology | Sun Y.,Guangdong University of Technology | Xiao S.,Guangdong University of Technology | And 2 more authors.
Zhongguo Jixie Gongcheng/China Mechanical Engineering | Year: 2011

A precise spray forming device for hot forging dies was designed and fabricated based on spray forming principles. The key design points and working characteristics of the device were introduced. A high-frequency induction furnace was used to melt metals. The intermediate pot was removed and melted metals flowed out and atomized from the furnace to save energy. The novel atomizing nozzle was restrictive and vertical with a single chink and six auxiliary holes. Ceramic molds and water-cooling receiver were adopted in deposition system. The nozzle could be moved up and down in Z direction and the stage could be moved in X direction and rotated around Z axis. By the nozzle eccentricity and combination of three motions, spray formed dies with square or round cavities could be formed. The primary experiments show that the device has some advantages such as simple structure, low cost, heating fast and general etc., suitable for research work on precise spray forming of small work pieces.

Zhong R.Y.,University of Hong Kong | Huang G.Q.,University of Hong Kong | Dai Q.-Y.,Guangdong University of Technology | Zhang T.,Huaiji Dengyun Auto Parts Holding Co.
19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering | Year: 2013

Lead time estimation (LTE) is difficult to carry out, especially within the RFID-enabled real-time manufacturing shopfloor environment since large number of factors may greatly affect its precision. This paper proposes a data mining approach with four steps each of which is equipped with suitable mathematical models to analysis the LTE from a real-life case and then to quantitatively examine its key impact factors such as processing routine, batching strategy, scheduling rules and critical parameters of specification. Experiments are carried out for this purpose and results imply that batching strategy, scheduling rules and two specification parameters largely influence the LTE, while, processing routine has less impact in this case. © 2013 Springer-Verlag Berlin Heidelberg.

Zhong R.Y.,Applied Technology Internet | Zhong R.Y.,Shenzhen University | Huang G.Q.,Applied Technology Internet | Lan S.,Applied Technology Internet | And 3 more authors.
Advanced Engineering Informatics | Year: 2015

Radio frequency identification (RFID) technology has been used in manufacturing industries to create a RFID-enabled ubiquitous environment, in where ultimate real-time advanced production planning and scheduling (APPS) will be achieved with the goal of collective intelligence. A particular focus has been placed upon using the vast amount of RFID production shop floor data to obtain more precise and reasonable estimates of APPS parameters such as the arrival of customer orders and standard operation times (SOTs). The resulting APPS model is based on hierarchical production decision-making principle to formulate planning and scheduling levels. A RFID-event driven mechanism is adopted to integrate these two levels for collective intelligence. A heuristic approach using a set of rules is utilized to solve the problem. The model is tested through four dimensions, including the impact of rule sequences on decisions, evaluation of released strategy to control the amount of production order from planning to scheduling, comparison with another model and practical operations, as well as model robustness. Two key findings are observed. First, release strategy based on the RFID-enabled real-time information is efficient and effective to reduce the total tardiness by 44.46% averagely. Second, it is observed that the model has the immune ability on disturbances like defects. However, as the increasing of the problem size, the model robustness against emergency orders becomes weak; while, the resistance to machine breakdown is strong oppositely. Findings and observations are summarized into a number of managerial implications for guiding associated end-users for purchasing collective intelligence in practice. © 2015 Elsevier Ltd. All rights reserved.

Zhong R.Y.,Applied Technology Internet | Zhong R.Y.,Shenzhen University | Huang G.Q.,University of Hong Kong | Lan S.,University of Hong Kong | And 3 more authors.
International Journal of Production Economics | Year: 2015

Abstract Radio frequency identification (RFID) has been widely used in supporting the logistics management on manufacturing shopfloors where production resources attached with RFID facilities are converted into smart manufacturing objects (SMOs) which are able to sense, interact, and reason to create a ubiquitous environment. Within such environment, enormous data could be collected and used for supporting further decision-makings such as logistics planning and scheduling. This paper proposes a holistic Big Data approach to excavate frequent trajectory from massive RFID-enabled shopfloor logistics data with several innovations highlighted. Firstly, RFID-Cuboids are creatively introduced to establish a data warehouse so that the RFID-enabled logistics data could be highly integrated in terms of tuples, logic, and operations. Secondly, a Map Table is used for linking various cuboids so that information granularity could be enhanced and dataset volume could be reduced. Thirdly, spatio-temporal sequential logistics trajectory is defined and excavated so that the logistics operators and machines could be evaluated quantitatively. Finally, key findings from the experimental results and insights from the observations are summarized as managerial implications, which are able to guide end-users to carry out associated decisions. © 2015 Elsevier B.V.

Qu S.,South China University of Technology | Xiong Z.,South China University of Technology | Lai F.,South China University of Technology | Wang G.,South China University of Technology | And 3 more authors.
Mocaxue Xuebao/Tribology | Year: 2016

Stellite 1 and Stellite F coatings were fabricated on the substrate of valve steel by plasma surfacing. Metallographic structure, phase composition and hardness were analyzed. The tribological properties of the two kinds of the welding coatings were investigated on a MMU-10G friction and wear tester at elevated temperatures. Results indicate that at elevated temperatures, with the rise of temperature, the friction coefficient of both coatings increased whereas the wear volume decreased. At 400, Stellite 1 and Stellite F coatings were seriously damaged due to the appearance of fatigue cracks and wide furrows. The main wear mechanisms of both the coatings were fatigue flake and abrasive wear at 500 and 600. The formation of oxide film and the decreasing hardness of the counterparts resulted in less wear and the central area of wear trace becoming narrower. However, wear debris were accumulated and crushed on both sides of the wear trace, leading to a severe adhesive wear which is related to the large friction coefficient. © 2016, Science Press. All right reserved.

Huaiji Dengyun Auto Parts Holding Co. | Date: 2012-03-23

Automotive engine valves; Intake and exhaust valves for automotive engines.

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