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Author:

Gan, L. (Gan, L..) | Zhang, C.-X. (Zhang, C.-X..) | Tang, Z.-M. (Tang, Z.-M..) | Bao, H. (Bao, H..) | Fan, B. (Fan, B..) | Zhou, J.-C. (Zhou, J.-C..)

Indexed by:

Scopus PKU CSCD

Abstract:

In order to determine the weight of indicators in the former established accurate-design assessment indicator system for new generation steel plants, the indicator weight analysis software was developed by using modified Analytic Hierarchy Process (AHP). An expert team consisted of 71 experts with different work experience was employed to take advantage of the developed software to judge the indicators' weights for a mass-production slab steel plant. The obtained weights indicate that indicator's weight is greatly influenced by of experts' experiences. The weight of an indicator depends largely on the expert's familiarity to this indicator. The differences of weights between the four composite indicators are relatively smaller when the weights are obtained by the experts with experiences of working in steel plants, having a senior title, working over 20 years, or working on management position. The weights of process operation high-efficiency level and ecologization level rise with the promotion of expert's titles and increase of working years. Using Weighted Arithmetic Mean Method (WAMM), the weight of economics/investment level, procedure equipment level, process operation high-efficiency level, and ecologization level are determined as 0.285, 0.249, 0.240 and 0.226 respectively.

Keyword:

Analytic hierarchy process (AHP); Assessment indicator system; Indicators weight analysis software; Mass-production slab steel plant; New generation plant

Author Community:

  • [ 1 ] [Gan, L.]State Key Laboratory of Advanced Steel Process and Products, Central Iron and Steel Research Institute, Beijing 100081, China
  • [ 2 ] [Zhang, C.-X.]State Key Laboratory of Advanced Steel Process and Products, Central Iron and Steel Research Institute, Beijing 100081, China
  • [ 3 ] [Tang, Z.-M.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100042, China
  • [ 4 ] [Bao, H.]School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • [ 5 ] [Fan, B.]State Key Laboratory of Advanced Steel Process and Products, Central Iron and Steel Research Institute, Beijing 100081, China
  • [ 6 ] [Zhou, J.-C.]State Key Laboratory of Advanced Steel Process and Products, Central Iron and Steel Research Institute, Beijing 100081, China

Reprint Author's Address:

  • [Gan, L.]State Key Laboratory of Advanced Steel Process and Products, Central Iron and Steel Research Institute, Beijing 100081, China

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Source :

Iron and Steel (Peking)

ISSN: 0449-749X

Year: 2011

Issue: 3

Volume: 46

Page: 87-91

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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