Jurnal Rekayasa Sistem Industri
Vol 7, No 1 (2018): Jurnal Rekayasa Sistem Industri

Perancangan Lean Manufacturing dengan Menggunakan Waste Assessment Model (WAM) dan VALSAT untuk Meminimumkan Waste (Studi Kasus: PT. XYZ)

Satria, Tamzil (Unknown)



Article Info

Publish Date
30 Apr 2018

Abstract

As an industrial company, XYZ Ltd. engaged in beverages should pay attention to the detailed processes of each line of its production. This aims to minimize potential problems which may occur that can cause losses. This research aimed to minimize waste on the production floor by designing  lean manufacturing. Lean manufacturing is an approach that tries to eliminate waste that occurs in the value stream. The method used is Waste Assessment Model (WAM) that functions to identify waste in tea  production, and Value Stream Analysis Tools (VALSAT) which functions to select mappingtools used, based on WAM result. From the research result, it was found out  that the production time of original tea 450 ml took 20,255.4 seconds and the total lead time of product fulfillment for delivery to customers took 13.23 days. The average reject product was 0.65%, exceeding the company maximum standard. Based on the mapping, recommendation for improvement was  given to minimize waste, among others the elimination of Non Value Added (NVA) activity, the application of forecasting, and preventive maintenance activities. This research resulted in the waste identification, which  the biggest waste in this company was defect, decreasing the lead time of production time to become 14,767,4 second faster and Process Cycle Efficiency (PCE) which was increased from 39,12% to 53,66%.

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Journal Info

Abbrev

jrsi

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Data and Analytics Decision Analysis E-Business and E-Commerce Engineering Economy and Cost Analysis Human Factors Information Systems Intelligent Systems Manufacturing Systems Operations Research Production Planning and Control Project Management Quality Control and Management Reliability and ...