Research on ACPI system frame for R&D management of complex equipments

Sifeng Liu, Zhigeng Fang, Chaoqing Yuan, Yaping Li, Ying Cao

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The purpose of this paper is to propose a new system frame named ACPI for research and development (R&D) management of complex equipments according to the ideas of artificial societies, computational experiments, parallel execution and interactive optimization. Design/methodology/approach: An artificial system which can effectively model, simulate and recur the main features and behaviors of a real R&D system of complex equipment is established at first. The structure and function of the system and its subsystems, and the relation of factors in the system are analyzed. Then one can perform computation experiment, modeling and simulation in the artificial system to obtain the optimal solutions. Finally, practice these solutions in a real system and at the same time perform the solutions in artificial system, forecasting and warning the possible new situations and problems in a realistic process, and provide controlling scheme. Findings: The typical characteristics and solutions of the R&D system of complex equipment are analyzed. The sketch scheme of ACPI, the system frame of ACPI for R&D management of complex equipments are proposed, and the key technologies used in implementing ACPI of R&D system of complex equipment are studied. Practical implications: The outcome of this paper can be used in computation experiments, management and optimization of R&D systems of complex equipment. Originality/value: The sketch scheme of ACPI, the system frame of ACPI for R&D management of complex equipments are proposed first. The ACPI system can supply a high-performance, open and interactive platform for the analog simulation and computation experiments of the R&D process management of complex equipment.

Original languageEnglish (US)
Pages (from-to)750-760
Number of pages11
JournalKybernetes
Volume41
Issue number5
DOIs
StatePublished - Jun 1 2012

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Information Systems
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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