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| 1 | Artificial intelligence:a survey on evolution,models,applications and future trends显示文摘Artificial intelligence(AI)is one of the core drivers of industrial development and a critical factor in promoting the integration of emerging technologies,such as graphic processing unit,Internet of Things,cloud computing,and the blockchain,in the new generation of big data and Industry 4.0.In this paper,we construct an extensive survey over the period 1961-2018 of AI and deep learning.The research provides a valuable reference for researchers and practitioners through the multi-angle systematic analysis of AI,from underlying mechanisms to practical applications,from fundamental algorithms to industrial achievements,from current status to future trends.Although there exist many issues toward AI,it is undoubtful that AI has become an innovative and revolutionary assistant in a wide range of applications and fields. | Yang Lu | 2019 | Journal of Management Analytics2019，6，1： | 14 |
| 2 | The Innovation of CNC Machine Interface Based on DNC System显示文摘This paper describes the innovation schemes of the interface of a CNC machinewhich cannot communicate with a computer by a Direct Numerical Control(DNC)interface andthe functions of a DNC interface system.One architecture of hardware and software of a practi-cal single-chip computer based on DNC interface system developed by the authors is given.Without any change of the original hardware and software,this DNC interface system has beenused to innovate the CNC machine’s interface to implement the direct communication between acomputer and a CNC machine and to achieve no tape transmission of a part program and ma-chine parameters.It has been demonstrated that this DNC interface system has certain practicalvalues in improving the reliability,efficiency and production management of CNC/NC machine. | Luo Jianjun Fan Liuqun Liang Gongqian China Research and Education Center of Plant Engineering,Northwestern Polytechnical University Xi’an,710072,P.R.China | 1997 | International Journal of Plant Engineering and Management1997，2，1： | 11 |
| 3 | Grey GM(1,1) Model with Function-Transfer Method for Wear Trend Prediction and its Application显示文摘Trend forecasting is an important aspect in fault diagnosis and work state supervision. The principle, where Grey theory is applied in fault forecasting, is that the forecast system is considered as a Grey system; the existing known information is used to infer the unknown information’s character, state and development trend in a fault pattern, and to make possible forecasting and decisions for future development. It involves the whitenization of a Grey process. But the traditional equal time interval Grey GM (1,1) model requires equal interval data and needs to bring about accumulating addition generation and reversion calculations. Its calculation is very complex. However, the non equal interval Grey GM (1,1) model decreases the condition of the primitive data when establishing a model, but its requirement is still higher and the data were pre processed. The abrasion primitive data of plant could not always satisfy these modeling requirements. Therefore, it establishes a division method suited for general data modeling and estimating parameters of GM (1,1), the standard error coefficient that was applied to judge accuracy height of the model was put forward; further, the function transform to forecast plant abrasion trend and assess GM (1,1) parameter was established. These two models need not pre process the primitive data. It is not only suited for equal interval data modeling, but also for non equal interval data modeling. Its calculation is simple and convenient to use. The oil spectrum analysis acted as an example. The two GM (1,1) models put forward in this paper and the new information model and its comprehensive usage were investigated. The example shows that the two models are simple and practical, and worth expanding and applying in plant fault diagnosis. | LUO You xin 1 , PENG Zhu 2 , ZHANG Long ting 1 , GUO Hui xin 1 , CAI An hui 1 1Department of Mechanical Engineering, Changde Teachers University, Changde 415003, P.R. China 2 Engineering Technology Board, Changsha Cigare | 2001 | International Journal of Plant Engineering and Management2001，6，4： | 11 |
| 4 | How technological proximity affect collaborative innovation?An empirical study of China’s Beijing-Tianjin-Hebei region显示文摘Based on joint-innovation patent data from 2000 to 2016 in the Beijing-Tianjin-Hebei region of China,the purpose of this paper is to analyze how technological proximity affects university-industry collaborative innovation in the Beijing-Tianjin-Hebei region.We adopt a 1:1 matching design to conduct an empirical study.The results show that the effect of technological proximity on the formation of collaborative innovation displays an inverted U-shape,and geographical proximity and institutional proximity play a positive role of forming a tie.Geographical proximity and institutional proximity as a coordination mechanism,have negatively influenced the relationship between technological proximity and the formation of university-industry collaborative innovation.Furthermore,university strength improves the possibility of collaborative innovation.These findings contributed to the understanding of the relationship between technological proximity and collaborative innovation. | Hongjun Chen Fuji Xie | 2018 | Journal of Management Analytics2018，5，4： | 9 |
| 5 | Blockchain and the related issues:a review of current research topics显示文摘The blockchain represents emerging technologies and future trends.For the traditional social organization and mode of operation,the development of the blockchain is a revolution.As a decentralized infrastructure and distributed general ledger agreement,the blockchain presents us with a great opportunity to establish data security and trust for automation and intelligence development in the Internet of Things(IoT)and it creates a new un-centralized programmable smart ecosystem.Our research synthesizes and analyses extant articles that focus on blockchain-related perspectives which will potentially play an important role in sustainable development in the world.Blockchain applications and future directions always attract more attention.Blockchain technology provides strong scalability and interoperability between the intelligent and the physical worlds. | Yang Lu | 2018 | Journal of Management Analytics2018，5，4： | 8 |
| 6 | Grey Problems of a Mechanical Transmission System in a Reliability Study显示文摘In the light of the Grey characters of reliability on a mechanical transmission system, Grey problems that could assist in the study on mechanical transmission system were analyzed. For example, the factors of time function,the factors of environment and the factors of people have some relationships with the system in this paper. And then, the methods and procedures, which were based upon the theory of Grey system, were elaborated. | LUO You-xin, CAI An-hui, ZHANG Long-ting, GUO Hui-xin Department of Mechanical Engineering, Changde Normal College, Changde 415003, P. R. China | 2001 | International Journal of Plant Engineering and Management2001，6，2： | 8 |
| 7 | Determining the trade–environment composition effect: the role of capital, labor and environmental regulations显示文摘 | Matthew A. Cole Robert J.R. Elliott | 2003 | Journal of Environmental Economics and Management2003，，3： | 7 |
| 8 | Grey System Judgment on Reliability of Mechanical Equipment显示文摘The Grey system theory was applied in reliability analysis of mechanical equipment.It is a new theory and method in reliability engineering of mechanical engineering of mechanical equipment. Through the Grey forecast of reliability parameters and the reliability forecast of parts and systems, decisions were made in the real operative state of equipment in real time. It replaced the old method that required mathematics and physical statistics in a large base of test data to obtain a pre check, and it was used in a practical problem. Because of applying the data of practical operation state in real time, it could much more approach the real condition of equipment; it was applied to guide the procedure and had rather considerable economic and social benefits. | LUO You xin, GUO Hui xin, ZHANG Long ting, CAI An hui, PENG Zhu Department of Mechanical Engineering,Changde Teachers University, Changde 415003, P.R.China | 2001 | International Journal of Plant Engineering and Management2001，6，3： | 7 |
| 9 | Research on Transmission Accuracy Characteristic Analysis of RV Reducer显示文摘The accuracy of RV reducer transmission is mainly affected by the transmission accuracy. Taking the high precision RV-80E reducer as the research object, aiming at its structural characteristics, the rigid-flexible coupling model of RV reducer is established by using ADAMS multi-body dynamics simulation software, and the correctness of the model is verified. At the same time, the rigid-flexible coupling model is used to design several groups of simulation prototypes with different errors, and the influence of different error factors on the transmission accuracy of the whole machine is analyzed by simulation. Finally, through different error factors, it is concluded that the error combination of positive equidistance+negative offset or negative equidistance+positive offset can effectively reduce the influence of transmission error on the transmission accuracy of the whole machine. | TAN Peng QI Houjun HAN Lin FENG Juntao MA Dongsheng | 2019 | International Journal of Plant Engineering and Management2019，24，3： | 7 |
| 10 | Optimal quality level,order quantity and selling price for the retailer in a two-level supply chain显示文摘For a classical order quantity/pricing problem,we present a geometric programming(GP)approach to find the optimal selling price,order quantity and quality level to maximize the profit for the retail firm.Traditional models such as EOQ are not able to handle the nonlinearity of costs and demand.We adopt the GP approach and make a proper transformation of the model so as to solve this classical problem and obtain the global optimal solution.In addition to the optimal solutions,we also perform a sensitivity analysis.The study shows once more that GP is an excellent approach when decision variables interact in a nonlinear,especially exponential manner. | Sihua Zhou Guohua Wan Pengzhu Zhang Yuan Li | 2014 | Journal of Management Analytics2014，1，3： | 6 |
| 11 | An EPQ model with variable production,probabilistic deterioration and partial backlogging under inflation显示文摘This paper develops an economic production quantity(EPQ)model under the effect of inflation and time value of money.The rate of replenishment is considered to be a variable and the generalized unit production cost function is formulated by incorporating several factors,such as raw material,labour,replenishment rate,advertisements and other factors of the manufacturing system.The selling price of a unit is determined by a mark-up over the production cost.We have considered three types of continuous probabilistic deterioration function,and also considered that the holding cost of the item per unit time is assumed to be an increasing linear function of time spent in storage.In addition,shortages are allowed and partially backlogged.This model aids in minimizing the total inventory cost by finding the optimal cycle length and the optimal production quantity.The optimal solution of the model is illustrated with the help of numerical examples. | M.Palanivel R.Uthayakumar | 2014 | Journal of Management Analytics2014，1，3： | 6 |
| 12 | Adaptability Study of Intelligent Well Systems in East China Sea Oil Field显示文摘Intelligent well system is the well that has a set of equipment fixed in the down hole including sensing devices,data transmission system and operating devices for information acquiring,data gathering and decision analysis.By this remote control process,the smart well system can ultimately optimize well deliverability;it is used more and more often in oil fields with its stability and control technique.At present,the main intelligent well systems in the world include SCRAMS,Direct Hydraulic,Digital Hydraulic that belongs to WellDynamics Company,InForce and InCharge that belongs to Baker Oil Tools Company,RMC that belongs to Schlumberger Company.This paper compares different types of systems and their characteristics,recommending the InCharge system as the intelligent well system for East China Sea Oil Field according to its geological and reservoir conditions. | HAN Dan-xiu LI Xiang-fang FU Li-xia | 2008 | International Journal of Plant Engineering and Management2008，13，4： | 6 |
| 13 | Determinants of environmental innovation in US manufacturing industries显示文摘 | Smita B Brunnermeier Mark A Cohen | 2003 | Journal of Environmental Economics and Management2003，，2： | 6 |
| 14 | A Review of the Discrete Facility Location Problem显示文摘In this paper we attempt to classify discrete facility location problems in the right perspective and propose discrete facility location problems that include: median problems, covering problems, center problems, multi-commodities problems and dynamic problems on the basis of former research by other scholars. We consider vehicle routing location problems, inventory-location problems and hub problems as a recent research field of discrete facility location problems according to literature from the last 10 years. | WANG Fei XU Yu LI Yi-xue | 2006 | International Journal of Plant Engineering and Management2006，11，1： | 6 |
| 15 | Healthcare data analytics:using a metadata annotation approach for integrating electronic hospital records显示文摘The data in electronic medical records(EMR)are complex in structure.They are independent,yet related to each other.In order to improve information access through the use of EMR,annotating work on these data is necessary.The annotation on metadata,the resource data which contain a meta-model of the database,is the basis of the annotating work if a semi-automated or an automated annotating approach which aims at making the database more accessible is expected.In this study,a method has been proposed to transform the terms which cannot be matched directly by changing them literally but maintaining their semantics,and then annotating them indirectly.After the transforming work,a refinement method which is reducible to phrase sense disambiguation(PSD)is employed to ensure accuracy.A pilot study on a hospital database has been conducted to test the accuracy and effectiveness of the proposed method. | Boyi Xu Ke Xu LiuLiu Fu Ling Li Weiwei Xin Hongming Cai | 2016 | Journal of Management Analytics2016，3，2： | 6 |
| 16 | Big data analytics and business analytics显示文摘Over the past few decades,with the development of automatic identification,data capture and storage technologies,people generate data much faster and collect data much bigger than ever before in business,science,engineering,education and other areas.Big data has emerged as an important area of study for both practitioners and researchers.It has huge impacts on data-related problems.In this paper,we identify the key issues related to big data analytics and then investigate its applications specifically related to business problems. | Lian Duan Ye Xiong | 2015 | Journal of Management Analytics2015，2，1： | 5 |
| 17 | Conceptualizing Employee Silence and Employee Voice as Multidimensional Constructs*显示文摘 | Linn VanDyne SoonAng Isabel C.Botero | 2003 | Journal of Management Studies2003，，6： | 5 |
| 18 | Study of Failure Diagnostic Methods and Intelligent Diagnostic System for Reciprocating Compressors显示文摘Three categories of failure diagnostic methods for reciprocating compressors are classified according to the signals adopted by the diagnosis. They are parameter method, vibration method, and oil analysis method. In this paper, the applicable range and operational difficulties of these methods are discussed on the basis of analysis and induction upon normal failure. It is proposed that a compressor’s normal failure can be divided into thermodynamical property failure and mechanical function failure. As to the former, the parameter method that takes a cylinder pressure signal as the main diagnostic signal may be applied; and as to the latter, the vibration signal frequency spectrum can be used to diagnose. At the same time, the structure of an intelligent diagnostic system based on neural networks is introduced, and its schematic is given. | LIU Wei hua, ANG Hai song Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P.R.China | 2002 | International Journal of Plant Engineering and Management2002，7，3： | 5 |
| 19 | Multi-item EPQ model with learning effect on imperfect production over fuzzy-random planning horizon显示文摘Uncertainty is certain in the world of uncertainty.This study revisits an economic production quantity(EPQ)model with shortages for stock-dependent demand of the items with reworking and disposing of the imperfect ones over a random planning horizon under the joint effect of inflation and time value of money,where the expected time length is imprecise in nature.Transmission of learning effect has been incorporated to reduce the defective production.The total expected profit over the random planning horizon is maximized subject to the imprecise space constraint.The possibility,necessity and credibility measures have been introduced to defuzzify the model.The simulation-based genetic algorithm is used to make decision for the above EPQ model in different measures of uncertainty.The model is illustrated through an example.Sensitivity analysis shows the impacts of different parameters on the objective function in the model. | Amalesh Kumar Manna Barun Das Jayanta Kumar Dey Shyamal Kumar Mondal | 2017 | Journal of Management Analytics2017，4，1： | 5 |
| 20 | Big data analytics with applications显示文摘In this paper,recent developments on the Internet of Things(IoT)and its applications are surveyed,and the impact of newly developed Big Data(BD)on manufacturing information systems is especially discussed.Big Data analytics(BDA)has been identified as a critical technology to support data acquisition,storage,and analytics in data management systems in modern manufacturing.The purpose of the presented work is to clarify the requirements of predictive systems,and to identify research challenges and opportunities on BDA to support cloudbased information systems. | Zhuming Bi David Cochran | 2014 | Journal of Management Analytics2014，1，4： | 5 |
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