Published date: Sep 06 2016

Journal Title: KnE Engineering

Issue title: Conference on Science and Engineering for Instrumentation, Environment and Renewable Energy

Pages:

DOI: 10.18502/keg.v1i1.527

Anita Susilawatianita.susilawati@unri.ac.id

For companies that implement Lean Manufacturing, it is essential to measure the extent of success in terms of the achievements of optimum performances. This paper describes the development of a Fuzzy Analytical Hierarchy Process (FAHP) algorithm based Performance Measurement System (PMS) application software for lean companies. The PMS software, which was developed using the C++ language, was designed as a decision making system to aid lean manufacturing companies. The software allows decision making analysis based FAHP facilitating data input, pairwise comparisons, weight calculation and lean company scores. A case study of a lean manufacturing is presented to illustrate the theoretical and practical aspects of the PMS software. The case study demonstrated the software tool can assent to a lean company to implement PMS in a much easier manner yielding more accurate and consistent results that include a list of recommended actions to address issues identified. Therefore, it can improve the company performance.

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