EVALUATING AND OPTIMIZING THE HAULED CONTAINER SYSTEM (HCS) IN PT. KAMIBOX MAJU SEJAHTERA'S WASTE MANAGEMENT OPERATION

This study evaluates the Hauled Container System (HCS) used in PT. Kamibox Maju Sejahtera's waste management operations. The HCS is a transportation method to transport containers filled with waste and recyclables from collection points to processing or disposal facilities, at PT. Kamibox Maju Sejahtera vehicles travel from a centralized hub in Cisauk to specific pickup locations to load containers. Each vehicle typically handles one location per operational cycle and then transports the loaded container to its destination. Our analysis shows that the HCS system currently enables approximately 2.45 trips per day, which translates to two practical daily trips. This system's simplicity and directness provide ease of management and reduce contamination risk, reassuring the audience about its current effectiveness. The study further explores fuel efficiency and costs, revealing that while the Gran Max is the most fuel-efficient, the Colt Diesel is the most cost-effective. Recommendations include optimizing vehicle use and considering more fuel-efficient alternatives to improve sustainability and reduce operational costs. The findings serve as a guide for PT. Kamibox Maju Sejahtera and similar enterprises were aiming for sustainable waste management.

Authors

Institutions

Publication Details

Journal
Jurnal Teknik Sipil
Published
2024-08-25
DOI
https://doi.org/10.26418/jts.v24i2.69627
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EVALUATING AND OPTIMIZING THE HAULED CONTAINER SYSTEM (HCS) IN PT. KAMIBOX MAJU SEJAHTERA'S WASTE MANAGEMENT OPERATION

I Wayan Koko Suryawan, Mega Mutiara Sari, Ahmad Zakhi Mubaroq
Jurnal Teknik Sipil
Advanced Manufacturing and Logistics Optimization
article

EVALUATING AND OPTIMIZING THE HAULED CONTAINER SYSTEM (HCS) IN PT. KAMIBOX MAJU SEJAHTERA'S WASTE MANAGEMENT OPERATION

I Wayan Koko Suryawan, Mega Mutiara Sari, Ahmad Zakhi Mubaroq
article en

Abstract

This study evaluates the Hauled Container System (HCS) used in PT. Kamibox Maju Sejahtera's waste management operations. The HCS is a transportation method to transport containers filled with waste and recyclables from collection points to processing or disposal facilities, at PT. Kamibox Maju Sejahtera vehicles travel from a centralized hub in Cisauk to specific pickup locations to load containers. Each vehicle typically handles one location per operational cycle and then transports the loaded container to its destination. Our analysis shows that the HCS system currently enables approximately 2.45 trips per day, which translates to two practical daily trips. This system's simplicity and directness provide ease of management and reduce contamination risk, reassuring the audience about its current effectiveness. The study further explores fuel efficiency and costs, revealing that while the Gran Max is the most fuel-efficient, the Colt Diesel is the most cost-effective. Recommendations include optimizing vehicle use and considering more fuel-efficient alternatives to improve sustainability and reduce operational costs. The findings serve as a guide for PT. Kamibox Maju Sejahtera and similar enterprises were aiming for sustainable waste management.

Jurnal Teknik SipilVol. 24(2)
Pertamina (Indonesia) (ID), Universitas Pertamina
Responsible consumption and production
Openalex Percentile: Top 81%
Advanced Manufacturing and Logistics Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.