Open AccessAHP-QFD in assessing the outcome of gemba kaizen events
Author(s) -
Mohd Hazri Mohd Rusli,
Ahmed Jaffar,
Salmiah Kasolang,
S. M. Kayat
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/834/1/012061
Subject(s) - quality function deployment , kaizen , analytic hierarchy process , lean manufacturing , process management , manufacturing engineering , kanban , computer science , process (computing) , engineering , operations management , operations research , control (management) , artificial intelligence , value engineering , operating system
The study shows the application of Analytical Hierarchy Process (AHP) and Quality Function Deployment (QFD) as a tool in assessing the outcome of the Gemba Kaizen Event. AHP-QFD method is used to analyze the process of prioritizing the Lean strategy, tools and technique for a Gemba Kaizen Event performed at a manufacturing company. The data obtained from the Gemba Kaizen Event were analyzed with AHP-QFD method in which the research evaluated the best combination and prioritization of lean elements to be deployed systematically. The analysis shows the linkage between the needs and lean strategies. The study found that the main strategy to implement Lean depends on the needs of the production situation of the company. The approach is mainly about improvement in process flow, standardization of the process, creation of Kanban Pull System and process visualization for control of the production.