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 in | 2016 Winter Simulation Conference (WSC) pp. 1036 - 1047 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
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. |
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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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CitedBy_id | crossref_primary_10_1007_s10696_024_09535_z crossref_primary_10_1016_j_ifacol_2019_11_426 crossref_primary_10_3390_pr9030476 crossref_primary_10_1080_00207543_2023_2242525 crossref_primary_10_1016_j_procir_2019_03_022 crossref_primary_10_1080_1206212X_2017_1395104 crossref_primary_10_1016_j_eswa_2022_117001 crossref_primary_10_2478_emj_2022_0022 crossref_primary_10_1515_orga_2017_0017 |
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Title | Automated production system simulations using commercial off-the-shelf simulation tools |
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