Automobile Workshop Queue System Optimization Using Response Surface
The automobile workshop queue system has been optimized using various approaches, such as queuing theory, simulation, and probability. The utilization of response surface methodology (RSM) for optimizing automobile workshop queue systems is not yet established. The utilization of RSM with direct obs...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11031/1/J17528_537619072b0b0e0483d7c0e3ea2b5c75.pdf http://eprints.uthm.edu.my/11031/ https://doi.org/10.22068/ijiepr.35.1.1943 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833419405479903232 |
|---|---|
| author | Welly Sugianto, Welly Sugianto Abdul Haq, Reazul Haq Abdol Rahman, Mohd Nasrull |
| author_facet | Welly Sugianto, Welly Sugianto Abdul Haq, Reazul Haq Abdol Rahman, Mohd Nasrull |
| author_sort | Welly Sugianto, Welly Sugianto |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The automobile workshop queue system has been optimized using various approaches, such as queuing theory, simulation, and probability. The utilization of response surface methodology (RSM) for optimizing automobile workshop queue systems is not yet established. The utilization of RSM with direct observation enables the detection of patterns of correlations between variables and responses, which
are then represented through mathematical equations. The optimization process involves numerous factors that impact queue performance, which can be categorized into two parts. The number of servers, number of phases, number of workers, worker experience, and layout are classified in inner design. This study examines the relationship between two components of the outer design, specifically the arrival rate
and the interarrival time. The responses analyzed are queue cost, service time, average customer waiting time, and number of customers. The findings indicate that queue costs are not reliable for establishing the optimum value due to the significant impact of the cost structure on the structure of the optimal location. This study discovered that the number of leaving customers is related to queue costs and is relevant in selecting the optimal point. This study also formulates mathematical equations for predicting the optimal point. This study emphasizes the necessity for further investigation to uncover alternative mathematical equations that can
precisely predict the optimal conditions for various types of services. |
| format | Article |
| id | my.uthm.eprints-11031 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2024 |
| record_format | eprints |
| spelling | my.uthm.eprints-110312024-06-04T02:43:09Z http://eprints.uthm.edu.my/11031/ Automobile Workshop Queue System Optimization Using Response Surface Welly Sugianto, Welly Sugianto Abdul Haq, Reazul Haq Abdol Rahman, Mohd Nasrull TL Motor vehicles. Aeronautics. Astronautics The automobile workshop queue system has been optimized using various approaches, such as queuing theory, simulation, and probability. The utilization of response surface methodology (RSM) for optimizing automobile workshop queue systems is not yet established. The utilization of RSM with direct observation enables the detection of patterns of correlations between variables and responses, which are then represented through mathematical equations. The optimization process involves numerous factors that impact queue performance, which can be categorized into two parts. The number of servers, number of phases, number of workers, worker experience, and layout are classified in inner design. This study examines the relationship between two components of the outer design, specifically the arrival rate and the interarrival time. The responses analyzed are queue cost, service time, average customer waiting time, and number of customers. The findings indicate that queue costs are not reliable for establishing the optimum value due to the significant impact of the cost structure on the structure of the optimal location. This study discovered that the number of leaving customers is related to queue costs and is relevant in selecting the optimal point. This study also formulates mathematical equations for predicting the optimal point. This study emphasizes the necessity for further investigation to uncover alternative mathematical equations that can precisely predict the optimal conditions for various types of services. 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/11031/1/J17528_537619072b0b0e0483d7c0e3ea2b5c75.pdf Welly Sugianto, Welly Sugianto and Abdul Haq, Reazul Haq and Abdol Rahman, Mohd Nasrull (2024) Automobile Workshop Queue System Optimization Using Response Surface. International Journal of Industrial Engineering & Production Research, 35 (1). pp. 1-30. https://doi.org/10.22068/ijiepr.35.1.1943 |
| spellingShingle | TL Motor vehicles. Aeronautics. Astronautics Welly Sugianto, Welly Sugianto Abdul Haq, Reazul Haq Abdol Rahman, Mohd Nasrull Automobile Workshop Queue System Optimization Using Response Surface |
| title | Automobile Workshop Queue System Optimization Using Response Surface |
| title_full | Automobile Workshop Queue System Optimization Using Response Surface |
| title_fullStr | Automobile Workshop Queue System Optimization Using Response Surface |
| title_full_unstemmed | Automobile Workshop Queue System Optimization Using Response Surface |
| title_short | Automobile Workshop Queue System Optimization Using Response Surface |
| title_sort | automobile workshop queue system optimization using response surface |
| topic | TL Motor vehicles. Aeronautics. Astronautics |
| url | http://eprints.uthm.edu.my/11031/1/J17528_537619072b0b0e0483d7c0e3ea2b5c75.pdf http://eprints.uthm.edu.my/11031/ https://doi.org/10.22068/ijiepr.35.1.1943 |
| url_provider | http://eprints.uthm.edu.my/ |