6th Industrial Engineering and Operations Management Bangladesh Conference

Sustainable Value Stream Mapping to Increase Effectiveness and Efficiency in PE-Type Plastic Pellet Companies

Chika Gabriela Keren, Lithrone Laricha Salomon & Wilson Kosasih
Publisher: IEOM Society International
0 Paper Citations
1 Views
1 Downloads
Abstract

The research was conducted at a manufacturing company that produces polyethylene (PE) plastic pellets. This company recycles unused plastic so that it has more benefits, namely as a raw material for the plastic industry. This research aims to be able to assist companies in increasing effectiveness and efficiency using the Sustainable Value Stream Mapping method. The application of this method begins by first identifying several indicators related to the triple bottom line, which include economic, environmental, and social aspects. To find out which indicators need improvement, it is necessary to calculate the efficiency of each indicator. After the calculation was carried out, five indicators were obtained that needed improvement, namely waste (environmental aspect) with an efficiency of 32.13%, noise level (environmental aspect) with an average value of 85.57 dB, lighting level (environmental aspect) with a value of 75 Lux, room temperature (environmental aspect) with a temperature of 33.7 °C, and employee safety level (social aspect) with 50.00% efficiency. To be able to assist companies in improving the efficiency of these three indicators, the next stage that will be carried out is to provide some suggestions for improvements related to waste by recycling again, noise levels using earplugs, lighting levels by adding or replacing lamps with brighter light, room temperature by adding ventilation and hexos, and employee safety by conducting counseling on the importance of security and safety at work.

Published in: 6th Industrial Engineering and Operations Management Bangladesh Conference, Dhaka, Bangladesh

Publisher: IEOM Society International
Date of Conference: December 26-28, 2023

ISBN: 979-8-3507-1733-4
ISSN/E-ISSN: 2169-8767