Production Process Scheduling Using the FCFS (First Come First Served) Method, at CV. Clean Industry Unit

CV. Unit Clean Industry, a household cleaning equipment manufacturer, faces significant production delays due to inefficient scheduling using the First Come First Served (FCFS) method, with 35% of orders delayed by 5–7 days in 2023. This study aims to evaluate the effectiveness of FCFS and identify root causes of delays, focusing on material shortages and machine maintenance issues. Using a mixed-method approach, primary data from interviews and observations were combined with secondary production records from November 2019 to April 2025. Critical Ratio (CR) analysis and comparative evaluation of FCFS against SPT, LPT, and EDD methods were conducted. Results showed FCFS achieved the shortest average completion time (10.75 days) and lowest average delay (4.5 days), despite minor utilization (44.18%) and work-in-process (2.26 jobs) disadvantages. The study concludes that FCFS remains effective for CV. Unit Clean Industry but recommends improving material supply chain and machine maintenance to further reduce delays.

Authors

Institutions

Publication Details

Journal
JKIE (Journal Knowledge Industrial Engineering)
Published
2025-04-26
DOI
https://doi.org/10.35891/jkie.v11i2.6166
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Production Process Scheduling Using the FCFS (First Come First Served) Method, at CV. Clean Industry Unit

M. S. Al-Ashhab
JKIE (Journal Knowledge Industrial Engineering)
Scheduling and Optimization Algorithms
article

Production Process Scheduling Using the FCFS (First Come First Served) Method, at CV. Clean Industry Unit

M. S. Al-Ashhab
article en

Abstract

CV. Unit Clean Industry, a household cleaning equipment manufacturer, faces significant production delays due to inefficient scheduling using the First Come First Served (FCFS) method, with 35% of orders delayed by 5–7 days in 2023. This study aims to evaluate the effectiveness of FCFS and identify root causes of delays, focusing on material shortages and machine maintenance issues. Using a mixed-method approach, primary data from interviews and observations were combined with secondary production records from November 2019 to April 2025. Critical Ratio (CR) analysis and comparative evaluation of FCFS against SPT, LPT, and EDD methods were conducted. Results showed FCFS achieved the shortest average completion time (10.75 days) and lowest average delay (4.5 days), despite minor utilization (44.18%) and work-in-process (2.26 jobs) disadvantages. The study concludes that FCFS remains effective for CV. Unit Clean Industry but recommends improving material supply chain and machine maintenance to further reduce delays.

JKIE (Journal Knowledge Industrial Engineering)Vol. 11(2)
Universitas Yudharta Pasuruan (ID)
Openalex Percentile: Top 89%
Scheduling and Optimization Algorithms
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.