Production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations

In a production system, achieving a high productivity with lowest cost is one of the overall goals. However, to maintain the quality of the product, usually a time constrain is assigned to the product where the product is considered fail if is it allowed to queue longer than the time constrain. The...

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Main Author: Leoga Proklamanus.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Final Year Project
Language:English
Published: 2013
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Online Access:http://hdl.handle.net/10356/51032
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-510322023-03-04T18:25:47Z Production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations Leoga Proklamanus. School of Mechanical and Aerospace Engineering Wu Kan DRNTU::Engineering In a production system, achieving a high productivity with lowest cost is one of the overall goals. However, to maintain the quality of the product, usually a time constrain is assigned to the product where the product is considered fail if is it allowed to queue longer than the time constrain. The "fail" product is either reworked or scrapped. Rework and loss (scrap) will reduce the productivity and increase the production cost. There are many factors that because the product fails to enter the next station within the allocation time constrain. Pre-emptive interruption such as breakdown and repair on the station is one of the major caused to it. When station break down, the station will idle and the product will stagnant in the queue line. High Frequency of breakdown and long the repair time can cause a huge loss in production Other than pre-emptive interruptions, the service time in the station also play an important role. The length of service time will influence the rework and loss rate in the system One of the method to reduce rework and time constrain is by adjusting the queue time constrain. However, sometimes the queue time constrains are rigid. Allowing a loose time constrain may result to drop in standard and quality In this project, a production system consist of 2 single servers with a fixed queue time constrain in between and a deterministic (constant) service times in the 2 server. Both servers suffer a distributed time base preemptive interruption. The objective of this model is to find parameters that have high utilization and low rework / loss rate. Bachelor of Engineering (Mechanical Engineering) 2013-01-03T03:08:31Z 2013-01-03T03:08:31Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/51032 en Nanyang Technological University 94 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Leoga Proklamanus.
Production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations
description In a production system, achieving a high productivity with lowest cost is one of the overall goals. However, to maintain the quality of the product, usually a time constrain is assigned to the product where the product is considered fail if is it allowed to queue longer than the time constrain. The "fail" product is either reworked or scrapped. Rework and loss (scrap) will reduce the productivity and increase the production cost. There are many factors that because the product fails to enter the next station within the allocation time constrain. Pre-emptive interruption such as breakdown and repair on the station is one of the major caused to it. When station break down, the station will idle and the product will stagnant in the queue line. High Frequency of breakdown and long the repair time can cause a huge loss in production Other than pre-emptive interruptions, the service time in the station also play an important role. The length of service time will influence the rework and loss rate in the system One of the method to reduce rework and time constrain is by adjusting the queue time constrain. However, sometimes the queue time constrains are rigid. Allowing a loose time constrain may result to drop in standard and quality In this project, a production system consist of 2 single servers with a fixed queue time constrain in between and a deterministic (constant) service times in the 2 server. Both servers suffer a distributed time base preemptive interruption. The objective of this model is to find parameters that have high utilization and low rework / loss rate.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Leoga Proklamanus.
format Final Year Project
author Leoga Proklamanus.
author_sort Leoga Proklamanus.
title Production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations
title_short Production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations
title_full Production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations
title_fullStr Production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations
title_full_unstemmed Production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations
title_sort production control policy for manufacturing systems with multiple server stations and time constraints between two consecutive operations
publishDate 2013
url http://hdl.handle.net/10356/51032
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