Using simulation-based finite capacity planning and scheduling software to improve cycle time in front end operations

Author(s):  
M. Thompson
2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Eung Tae Kim ◽  
Sungmin Kim

AbstractA smart insole system consisting of pressure sensors, wireless communication modules, and pressure monitoring software has been developed to measure plantar pressure distribution that appears in sewing process. This system calculates the cycle time of each operation by analyzing the real-time plantar pressure data. The operation cycle time was divided into the time done by machine and by manual and calculated by adding the two types of time. By analyzing the cycle time, it is possible to estimate the type of operation a worker is performing. The ability to calculate accurate cycle time and to manage a large volume of data is the advantage of this system. Establishing an accurate cycle time of all operations would be of great help in improving the production process, capacity planning, line efficiency, and labor cost calculation. The system is expected to be a good alternative to the conventional manual measurement process. It will also be able to meet the high demand from garment manufacturers for automated monitoring systems.


2011 ◽  
Vol 48-49 ◽  
pp. 378-381
Author(s):  
Li Li ◽  
Fei Qiao

A simulation-based modular planning and scheduling system developed for semiconductor fabrication facilities (SFFs) is discussed. Firstly, the general structure model (GSM) for SFFs, composed of a configurable definition layer, a physical layer, a process information layer and a planning and scheduling layer, is proposed. Secondly, a data-based dynamic simulation modeling method is given. Thirdly, a simulation-based modular planning and scheduling system (SMPSS) for SFFs, including model modules, release control modules, scheduling modules and rescheduling modules, is designed and developed. Finally, a case study is used to demonstrate the effectiveness of


2021 ◽  
Author(s):  
Canan Gunes Corlu ◽  
◽  
John Maleyeff ◽  
Chenshu Yang ◽  
Tianhuai Ma ◽  
...  

2009 ◽  
Vol 3 (2) ◽  
pp. 69-83 ◽  
Author(s):  
J M Bekki ◽  
J W Fowler ◽  
G T Mackulak ◽  
M Kulahci

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