Enterprise Modeling and Integration : A Stochastic Management Approach

Abstract:

• • Recently, my book has been published in Japanese, and the title is “Management of Manufacturing Enterprise: Profit Maximization and Factory Science “.

  • Enterprise/Factory Science means the system science of the 3M & I (huMan, Material/Machine, Money, and Information), in which is the complex of huMan, Material/Machine, Money and Information, and would contribute to enterprise modeling and intergration issues.

  • This paper presents the problem of enterprise/factory science, and discusses a class of 3M & I system by a stochastic management approach.

  • First, the 3M & I system is defined, and a variety vs. structure is introduced.

  • Next, the two structures of management are distinguished, and the demand-to-supply and process-cycle management are discussed by structural modeling.

Introduction:

• • F. W. Taylor, the father of scientific management, said in 1903 that management is an art [1].

  • By ”an art” meant the scientific law/technique(enterprise/factory) and the applicative “waza”.

  • After that, this definition is followed by Koontz & O’Donnell [2] etc. The history of management has passed for about 100 years, since F. W. Taylor established scientific management [1].

  • But, the management theory is such as what management is seems to be still confused [2] and at a statistical level.

  • At this level, it would be limited to average theory.

  • This paper is a preparation for developing management theories through modeling experiments by a stochastic approach.

  • For this purpose, we give a system approach to management modeling, and attempt to build a framework for the management research in the future.

3M & I + Environment:

Process-Cycle Management:

Classfication of Management Process:

Conclusion and Future:

• • In this paper, the enterprise/factory is regarded as a 3M & I system, and is modeled by a stochastic management approach.

  • There are the demand-to-supply and process-cycle management models toward enterprise modeling and integration.

  • In the near future, these stochastic models would be formularized and designed for a stochastic/storategic management.

  • In addition, this study would develop the enterprise/factory science and management [19], combined with ERP/SCM balancing issues.