DocumentCode
522806
Title
Notice of Retraction
Production capability estimation and simulation of a workshop based on witness
Author
Hongqiang Wan ; Liang Wang ; Yan Cao
Author_Institution
Coll. of Astronaut., Northwestern Polytech. Univ., Xi´an, China
Volume
1
fYear
2010
fDate
10-11 May 2010
Firstpage
167
Lastpage
170
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Nowadays the management and control problems of Make-to-Order (MTO) production enterprises are paid more and more attention. In the paper, the problem of capability estimation for the MTO enterprises is studied based on simulation. It deals with the production orders of different delivery dates based on limited manufacturing resources. The adopted approach is to arrange order production conversely according to delivery dates demanded by customers under infinite capability condition. Then, the equipment capabilities are balanced under limited capability condition. In order to make workshop capability estimation more intuitive and visual, the approach is integrated with simulation theory and tool. The simulation tool adopted herein is Witness that provides the opportunity for a user to estimate the machining capability and resource allocation scheme of a workshop under different conditions. The analysis results lay the foundation for accurate decision-making of orders and scheduling plans. A workshop is taken as the instance to estimate its machining capability that consists of five groups of machines that are used to produce three parts.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Nowadays the management and control problems of Make-to-Order (MTO) production enterprises are paid more and more attention. In the paper, the problem of capability estimation for the MTO enterprises is studied based on simulation. It deals with the production orders of different delivery dates based on limited manufacturing resources. The adopted approach is to arrange order production conversely according to delivery dates demanded by customers under infinite capability condition. Then, the equipment capabilities are balanced under limited capability condition. In order to make workshop capability estimation more intuitive and visual, the approach is integrated with simulation theory and tool. The simulation tool adopted herein is Witness that provides the opportunity for a user to estimate the machining capability and resource allocation scheme of a workshop under different conditions. The analysis results lay the foundation for accurate decision-making of orders and scheduling plans. A workshop is taken as the instance to estimate its machining capability that consists of five groups of machines that are used to produce three parts.
Keywords
decision making; enterprise resource planning; order processing; process capability analysis; resource allocation; scheduling; Witness; decision making; delivery dates; machining capability estimation; make-to-order production enterprises; production capability estimation; production capability simulation; resource allocation scheme; scheduling plans; simulation theory; workshop capability estimation; Coils; Decision making; Job shop scheduling; Machining; Manufacturing; Mechatronics; Photonics; Power engineering and energy; Production systems; Resource management; Production capability; Witness; delivery date; estimation; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Optics Photonics and Energy Engineering (OPEE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5234-7
Type
conf
DOI
10.1109/OPEE.2010.5508166
Filename
5508166
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