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Power planning in ICT infrastructure: A multi-criteria operational performance evaluation approach
Institution:1. Institute of Information Management, National Cheng Kung University, Taiwan;2. College of Information Sciences and Technology, The Pennsylvania State University, USA;3. Institute of Information Management, National Cheng Kung University, Taiwan;1. Department of Industrial and Information Management, National Cheng Kung University, Tainan 70101, Taiwan, ROC;2. Department of Finance, University of Georgia, Athens, GA 30602-6253, USA
Abstract:It is critical for information and communications technology (ICT) companies to carry our effective power planning, in order to support the growing number of services they provide, and this traditionally relies on the tacit knowledge and experience of senior staff. The loss of such domain knowledge resulting from the retirement of staff is an important issue for organizations such as Chunghwa Telecom (CHT), the largest ICT operator in Taiwan. This study thus develops a systematic power planning model using a multi-criteria operational performance evaluation. A group version of the fuzzy repertory grid and fuzzy TOPSIS approaches is applied to elicit a set of evaluation criteria that senior staff agree on, and then the priorities of the telecom rooms are evaluated against this. In addition, a new factor, reflecting the attitudes of the decision makers with respect to the degree of strictness, is defined to determine the superiority and inferiority of each alternative compared to the others. Furthermore, a novel decision aggregation strategy regarding the degree of variation among decision makers is proposed, and a quantitative assessment is carried out to analyze its impact on the ranking results in an objective manner. The proposed model may help ICT organizations to more effectively manage their power resources, and thus obtain competitive advantages.
Keywords:ICT infrastructure  Power planning  Multiple criteria decision making  Aggregation strategy  Fuzzy TOPSIS  Fuzzy repertory grid
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