Industrial Engineering Journal ›› 2013, Vol. 16 ›› Issue (1): 110-114.

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Study on Markov Chain Modeling of Ideal Position Rank Structure and Dynamic Regulation for Large and Medium-Sized Enterprises

  

  1. (School of Economics and Management, Jiangsu University of Science and Techology, Zhenjiang 212031 , China)
  • Online:2013-02-28 Published:2013-03-22
  • Supported by:

    国家自然科学基金资助项目(71271119);江苏教育科学“十一五”规划资助项目(D/2009/01/050);江苏教育科学“十二五”规划资助项目(B-a/2011/01/014);江苏科技大学博士科研启动基金资助项目(35040903);国家社科基金资助项目(11BGL039);江苏高校哲学社会科学研究重点资助项目(2011ZDIXM036)

Abstract: Under the condition that the proportion of position rank promotion and dismissal is stable, study on enterprise position rank structure change is conducted. A homogeneous Markov chain model is established for this problem. For ideal position rank structure, this problem can be converted into a set of linear equations. With this model, then to optimize the enterprise position rank structure is to dynamically regulate the recruitment rate of every position rank for every year. With the position rank structure data from a large information technology (IT) enterprise, empirical analysis is conducted to verify the effectiveness of the proposed method.

Key words: Markov chain, position rank structure of enterprise, dynamic regulation