Service Orchestration Supporting Mixed Model Assembly Line Balancing And Sequencing
Ali, Shahbaz (2018)
Ali, Shahbaz
2018
Automation Engineering
Teknisten tieteiden tiedekunta - Faculty of Engineering Sciences
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Hyväksymispäivämäärä
2018-06-06
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201805241851
https://urn.fi/URN:NBN:fi:tty-201805241851
Tiivistelmä
In recent times the market has become extremely competitive because of unpredictable demand of the customers. This uncertain and competitive nature of the market has made manufacturers implement different methodologies to improve their production rate by keeping quality and cost in control. To achieve economies of scale manufacturers have been using a mixed model assembly line. During its operations, manufacturers have faced many problems and one of the problems is balancing and sequencing of the mixed model assembly line. Balancing is defined as the distribution of workload among workstations to reduce cycle time to achieve better cost and production rate. Sequencing is defined as to keep the workflow under control.
This thesis presents three different approaches to develop an orchestrator to balance and sequence mixed-model assembly line. The first approach is named as one by one work distribution approach in which orchestrator distributes tasks to all the workstations in sequence. If one workstation completed the task, it would not get the next task until orchestrator has distributed the tasks to each of other workstations. The second approach which is implemented is named as idle workstation approach. In this approach, orchestrator assigns a task to the workstation which is near to paper loading workstation. The third approach which is implemented is the fixed colour approach. In this approach, orchestrator allots each workstation with one of the colours (Red, Blue, and Green) and assigns tasks to the workstation based on the allotted colour.
After implementing each of the approaches a sample order is run to calculate the time and energy consumed by the system to complete that specific order. After calculating time and energy consumption for each approach at the end a comparison is made to deduce the result. It can be concluded after analysing the results that the approach three would be more effective to balance the Mixed Model Assembly line. As, it provides time efficiency, cost-effectiveness, and can facilitate in achieving equal workload distribution as well.
This thesis presents three different approaches to develop an orchestrator to balance and sequence mixed-model assembly line. The first approach is named as one by one work distribution approach in which orchestrator distributes tasks to all the workstations in sequence. If one workstation completed the task, it would not get the next task until orchestrator has distributed the tasks to each of other workstations. The second approach which is implemented is named as idle workstation approach. In this approach, orchestrator assigns a task to the workstation which is near to paper loading workstation. The third approach which is implemented is the fixed colour approach. In this approach, orchestrator allots each workstation with one of the colours (Red, Blue, and Green) and assigns tasks to the workstation based on the allotted colour.
After implementing each of the approaches a sample order is run to calculate the time and energy consumed by the system to complete that specific order. After calculating time and energy consumption for each approach at the end a comparison is made to deduce the result. It can be concluded after analysing the results that the approach three would be more effective to balance the Mixed Model Assembly line. As, it provides time efficiency, cost-effectiveness, and can facilitate in achieving equal workload distribution as well.