Open AccessMeasuring leanness index using fuzzy logic approach
Author(s) -
Said Salim Dahda,
Deny Andesta,
Awang Setiawan Wicaksono
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1469/1/012040
Subject(s) - lean manufacturing , lean laboratory , lean project management , fuzzy logic , vagueness , computer science , competitive advantage , production (economics) , process management , business , operations management , manufacturing engineering , risk analysis (engineering) , engineering , marketing , economics , software , artificial intelligence , software development , software construction , macroeconomics , programming language
Continuing competitive advantage will be a goal that will be increased by all types of industry to win the competition. The application of Lean production is a necessity for the industry to be able to increase the competitive advantage. This competitive advantage is achieved by waste elimination and cost reduction programs through the implementation of lean practice. In its implementation, there are many obstacles that occur, including lack of understanding and implementation of lean production that should be carried out. Leanness is a measure of the level of implementation of lean practices. In this paper, the dimensions that are the main areas of concern in lean production implementation are quality, customer, process, human resource and delivery-supplier. By using the advantages of fuzzy logic in performance appraisal and giving qualitative importance to avoid data impreciseness and vagueness. The built-in fuzzy linguistic level is used to identify the position of the industry at the level of application of lean production expressed by Fuzzy Leanness Index. The built model can be used for assessment and identify areas in the industry that have and have not contributed to the implementation of lean production.