Automated production system simulations using commercial off-the-shelf simulation tools

A multi-year research project focused on a global aerospace company's design-to-production transition, and in particular how to answer production-related questions much earlier in a program's design cycle than is possible today. A fundamental difficulty is that the time and expertise requi...

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Published in2016 Winter Simulation Conference (WSC) pp. 1036 - 1047
Main Authors Thiers, George, Sprock, Timothy, McGinnis, Leon, Graunke, Adam, Christian, Michael
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2016
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Abstract A multi-year research project focused on a global aerospace company's design-to-production transition, and in particular how to answer production-related questions much earlier in a program's design cycle than is possible today. A fundamental difficulty is that the time and expertise required to formulate appropriate analysis models prevents their routine use, especially in new program development. The project's goal was to reduce these requirements, and by late 2014 a methodology had been developed for on-demand analysis generation to answer routine questions about production systems. A pilot project was conducted in 2015 to demonstrate efficacy, that an implementation of the methodology could in fact reduce by at least an order of magnitude the time required to answer a frequently-asked question, in a repeatable way while specification of the products, their process plans, planned facilities, and available resources were frequently changing. This paper summarizes the methodology, its pilot project implementation, and preliminary results.
AbstractList A multi-year research project focused on a global aerospace company's design-to-production transition, and in particular how to answer production-related questions much earlier in a program's design cycle than is possible today. A fundamental difficulty is that the time and expertise required to formulate appropriate analysis models prevents their routine use, especially in new program development. The project's goal was to reduce these requirements, and by late 2014 a methodology had been developed for on-demand analysis generation to answer routine questions about production systems. A pilot project was conducted in 2015 to demonstrate efficacy, that an implementation of the methodology could in fact reduce by at least an order of magnitude the time required to answer a frequently-asked question, in a repeatable way while specification of the products, their process plans, planned facilities, and available resources were frequently changing. This paper summarizes the methodology, its pilot project implementation, and preliminary results.
Author Graunke, Adam
Christian, Michael
McGinnis, Leon
Sprock, Timothy
Thiers, George
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  fullname: Christian, Michael
  email: michael.j.christian@boeing.com
  organization: Boeing Co., St. Louis, MO, USA
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Snippet A multi-year research project focused on a global aerospace company's design-to-production transition, and in particular how to answer production-related...
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SubjectTerms Analytical models
Companies
Data models
Mathematical model
Object oriented modeling
Solid modeling
Title Automated production system simulations using commercial off-the-shelf simulation tools
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