Industrial Engineering Analysis of Chinese Manufacturing Industry in Transition Period Based on Grey Predictions

被引:0
|
作者
黄毅敏 [1 ]
李秋香 [1 ]
潘玉香 [1 ]
刘洪伟 [1 ]
齐二石 [1 ]
机构
[1] College of Management and Economics,Tianjin University
基金
中国国家自然科学基金;
关键词
manufacturing industry; GM(1,1); grey verhulst model; Paradigm; forecasting; strategy; China;
D O I
10.19884/j.1672-5220.2015.05.030
中图分类号
F424 [工业建设与发展];
学科分类号
摘要
In order to explore the characteristics and development strategies of Chinese manufacturing production system, the grey forecasting model GM( 1,1) and the grey verhulst dynamic model were built firstly. The prediction results show that Chinese manufacturing productivity would reach $ 32 806 per person in 2018,which indicates rapid development and lays the foundation for China to become the world’s manufacturing power since the reform and opening up. However, it is predicted that Chinese manufacturing productivity would peak in 2018 based on the grey verhulst dynamic model,which reveals the resource configuration mode of Chinese manufacturing system could not prop up its increasing manufacturing capability. Furthermore the main reasons of this phenomenon were explored,which could be summarized as the lack of accumulation,integration of industrial engineering( IE)and information technology( IT), promoting mechanism of IE application as well as integration model of management innovation and technology innovation,etc. Finally,a series of strategies based on IE theory to solve these problems were given. This study provides an effective way to deal with the challenges and opportunities facing the Chinese manufacturing industry,meanwhile,it may contribute to the theoretical system of IE.
引用
收藏
页码:870 / 878
页数:9
相关论文
共 50 条
  • [31] Analysis of the Bottleneck and Policy of Independent Innovation in Chinese Manufacturing Industry
    Wang Jing
    Sun Siyuan
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON PRODUCT INNOVATION MANAGEMENT, VOLS I AND II, 2008, : 630 - 633
  • [32] Analysis on New Product Development and Sales of Chinese Manufacturing Industry
    Ai Dan
    Mu Renyan
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON PRODUCT INNOVATION MANAGEMENT, VOLS I AND II, 2008, : 28 - 31
  • [33] INDUSTRIAL CLUSTERS AND TECHNILOGICAL INNOVATION IN DEVELOPING COUNTRIES: AN EMPIRICAL STUDY ON CHINESE MANUFACTURING INDUSTRY
    Yu, Zhen
    Li, Baoming
    PROCEEDINGS OF ACADEMY OF INNOVATION AND ENTREPRENEURSHIP 2009, 2009, : 241 - 245
  • [34] Efficiency impacts of the Chinese industrial transition: A quantitative evaluation of reforms in the coal industry
    Shi X.
    Grafton R.Q.
    Economic Change and Restructuring, 2010, 43 (1) : 1 - 19
  • [35] ADVANCED MANUFACTURING INDUSTRIAL DOCTORATE CENTRE: ENGINEERING DOCTORATE STUDENTS COLLABORATING WITH INDUSTRY WITHIN AN ACADEMIC AND INDUSTRIAL ENVIRONMENT
    Evans, Dorothy
    DESIGN EDUCATION: COLLABORATION AND CROSS-DISCIPLINARY, 2016, : 632 - 637
  • [36] Analysis the Drivers of Environmental Responsibility of Chinese Auto Manufacturing Industry Based on Triple Bottom Line
    Zhang, Hua
    Zhang, Meihang
    Yan, Wei
    Liu, Ying
    Jiang, Zhigang
    Li, Shengqiang
    PROCESSES, 2021, 9 (05)
  • [37] A Comprehensive Study on Capability of Scientific and Technological Innovation of Chinese Manufacturing Industry Based on Factor Analysis
    Wang Wenqing
    Yang Jinfeng
    COMPREHENSIVE EVALUATION OF ECONOMY AND SOCIETY WITH STATISTICAL SCIENCE, 2010, : 95 - 100
  • [38] INDUSTRIAL DESIGN OF KANSEI ENGINEERING-BASED SENSOR FOR INDUSTRY
    Agassi, Taufik Nugraha
    Ushada, Mirwan
    Suyantohadi, Atris
    MANAGEMENT AND PRODUCTION ENGINEERING REVIEW, 2020, 11 (01) : 13 - 22
  • [39] Barriers to manufacturing integrated circuit chips in the Indian semiconductor manufacturing industry using the grey influence analysis (GINA)
    Singh, Karam Bharat
    Misra, Subhas Chandra
    BUSINESS PROCESS MANAGEMENT JOURNAL, 2024,