Value Stream Mapping to Improve Workplace to support Lean Environment

In recent years, lean manufacturing is being followed by various sectors in order to keep their competitiveness in the global markets. Lean manufacturing plays a vital role in improving the efficiency of operation by eliminating or reducing wastes. Nonetheless, most of small and medium enterprises (...

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Bibliographic Details
Published in:MATEC Web of Conferences Vol. 135; p. 32
Main Authors: Ahmad, Ahmad Nur Aizat, Lee, Te Chuan, Ramlan, Rohaizan, Ahmad, Md. Fauzi, Husin, Norafifah, Abdul Rahim, Mustaqqim
Format: Journal Article Conference Proceeding
Language:English
Published: Les Ulis EDP Sciences 01-01-2017
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Summary:In recent years, lean manufacturing is being followed by various sectors in order to keep their competitiveness in the global markets. Lean manufacturing plays a vital role in improving the efficiency of operation by eliminating or reducing wastes. Nonetheless, most of small and medium enterprises (SMEs) lack sufficient knowledge or information on the benefits of implementing lean manufacturing. The main objective of this study is to apply value stream mapping, one of lean manufacturing tools, for improving the productivity in a SME by eliminating non-value added activities. In this study, lean manufacturing was adopted at a SME, particularly a food industry. Value stream mapping was served as main tool to identify the wastes and improvement opportunities in production line. Subsequently, different lean manufacturing tools such as Kaizen Burst, one piece flow, and 5S were applied to eliminate or reduce identified wastes. Based on the future state value stream mapping, final results showed that the total operation time and non-added value activities time were successfully decreased from 1993 seconds to 1719 seconds, and 234 seconds to 104 seconds, respectively. The findings of this study indicate that value stream mapping is an effective approach to eliminate the wastes and improve the productivity.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201713500032