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Application of fuzzy methodology for KPIs implementation in manufacturing execution system

Can Yang

Application of fuzzy methodology for KPIs implementation in manufacturing execution system.

Rel. Paolo Chiabert. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2019

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Abstract:

Title: Application of fuzzy methodology for KPIs implementation in manufacturing execution system Abstract: Performance evaluation is an essential part that contributes to the development and success of an enterprise, because it helps decision-makers to concentrate more on the most critical operations and elements considering the 20/80 rule. The performance evaluation can be operated at different levels corresponding to the hierarchical structure of enterprises. This thesis establishes a five-dimensional model using fuzzy mathematics and analytic hierarchal process to carry out performance evaluation at the intermediate level of an enterprise, manufacturing execution system (MES). The five dimensions are significance, frequency, predictability, observability and time sensitivity; each of them characterizes the critical operations and elements, while the operations and elements are measured by key performance indicators (KPIs) both from ISO 22400 and newly-defined. Weights of each KPIs are calculated using the five-dimensional model with Excel and MATLAB, then actions can be taken to rearrange the concentration and achieve the improvement of value-added process.

Relators: Paolo Chiabert
Academic year: 2018/19
Publication type: Electronic
Number of Pages: 56
Subjects:
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/10617
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