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The Extend Customer Requirement Factors Based Service Level Evaluation for Manufacturing Enterprises: Service Level Evaluation for Manufacturing Enterprise

The Extend Customer Requirement Factors Based Service Level Evaluation for Manufacturing Enterprises: Service Level Evaluation for Manufacturing Enterprise

Qing Liu, Shanshan Yu, Gang Huang, Xinsheng Xu
Copyright: © 2019 |Volume: 12 |Issue: 2 |Pages: 21
ISSN: 1935-570X|EISSN: 1935-5718|EISBN13: 9781522564690|DOI: 10.4018/IJITSA.2019070102
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MLA

Liu, Qing, et al. "The Extend Customer Requirement Factors Based Service Level Evaluation for Manufacturing Enterprises: Service Level Evaluation for Manufacturing Enterprise." IJITSA vol.12, no.2 2019: pp.22-42. http://doi.org/10.4018/IJITSA.2019070102

APA

Liu, Q., Yu, S., Huang, G., & Xu, X. (2019). The Extend Customer Requirement Factors Based Service Level Evaluation for Manufacturing Enterprises: Service Level Evaluation for Manufacturing Enterprise. International Journal of Information Technologies and Systems Approach (IJITSA), 12(2), 22-42. http://doi.org/10.4018/IJITSA.2019070102

Chicago

Liu, Qing, et al. "The Extend Customer Requirement Factors Based Service Level Evaluation for Manufacturing Enterprises: Service Level Evaluation for Manufacturing Enterprise," International Journal of Information Technologies and Systems Approach (IJITSA) 12, no.2: 22-42. http://doi.org/10.4018/IJITSA.2019070102

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Abstract

This study proposes a novel way to evaluate the enterprise customer service level (ECSL) for OEMs (Original Equipment Manufacturers). First, a set of service level evaluating metrics is established based on the extended customer requirement factors (ECRFs), which covers the whole service product delivery process to fully reflect enterprise customers' service requirement. Then, the hybrid fuzzy multiple-criteria decision-making approach combining the analytic hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) are adopted. In the evaluating model, a fuzzy method is used to reflect the ambiguity in human thinking and decision making. The weight of each decision maker is determined by a two-layer way to make it more objective. The individual preferences are aggregated by AIP (aggregating individual priorities) way in the group decision-making process of the AHP to respect each decision makers' separate opinion. With the presented approach, ECSL can be evaluated and adjusted conveniently.

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