Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty
Purpose – The purpose of this paper is to show how to properly use the method of replacement to construct mixed two- and four-level minimum setup split-plot type designs to accommodate the presence of hard-to-assemble parts. Design/methodology/approach – Split-plot type designs are economical app...
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ri-123456789-254542019-01-30T05:57:23Z Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty Vivacqua, Carla A. Ho, Linda Lee Pinho, André L.S. Hard-to-change factor Minimum setup Prototype testing Regular design Restricted randomization Split-plot fractional factorial design Purpose – The purpose of this paper is to show how to properly use the method of replacement to construct mixed two- and four-level minimum setup split-plot type designs to accommodate the presence of hard-to-assemble parts. Design/methodology/approach – Split-plot type designs are economical approaches in industrial experimentation. These types of designs are particularly useful for situations involving interchangeable parts with different degrees of assembly difficulties. Methodologies for designing and analyzing such experiments have advanced lately, especially for two-level designs. Practical needs may require the inclusion of factors with more than two levels. Here, the authors consider an experiment to improve the performance of a Baja car including two- and four-level factors. Findings – The authors find that the direct use of the existing minimum setup maximum aberration (MSMA) catalogs for two-level split-plot type designs may lead to inappropriate designs (e.g. low resolution). The existing method of replacement for searching exclusive sets of the form (α, β, αβ) available in the literature is suitable for completely randomized designs, but it may not provide efficient plans for designs with restricted randomization. Originality/value – The authors provide a general framework for the practitioners and have extended the algorithm to find out the number of generators and the number of base factor at 2018-06-19T11:44:35Z 2018-06-19T11:44:35Z 2017-08 article VIVACQUA, Carla A.; HO, Linda Lee ; PINHO, André L. S. . Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty. International Journal Of Quality and reliability management, v. 34, p. 1152-1166, 2017. Disponível em: <http://www.emeraldinsight.com/doi/full/10.1108/IJQRM-01-2016-0006>. Acesso em: 04 dez. 2017 https://repositorio.ufrn.br/jspui/handle/123456789/25454 10.1108 eng Acesso Aberto application/pdf International journal of quality & reliability management |
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Hard-to-change factor Minimum setup Prototype testing Regular design Restricted randomization Split-plot fractional factorial design |
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Hard-to-change factor Minimum setup Prototype testing Regular design Restricted randomization Split-plot fractional factorial design Vivacqua, Carla A. Ho, Linda Lee Pinho, André L.S. Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty |
description |
Purpose – The purpose of this paper is to show how to properly use the method of replacement to
construct mixed two- and four-level minimum setup split-plot type designs to accommodate the presence of
hard-to-assemble parts.
Design/methodology/approach – Split-plot type designs are economical approaches in industrial
experimentation. These types of designs are particularly useful for situations involving interchangeable
parts with different degrees of assembly difficulties. Methodologies for designing and analyzing such
experiments have advanced lately, especially for two-level designs. Practical needs may require the inclusion
of factors with more than two levels. Here, the authors consider an experiment to improve the performance of
a Baja car including two- and four-level factors.
Findings – The authors find that the direct use of the existing minimum setup maximum aberration (MSMA)
catalogs for two-level split-plot type designs may lead to inappropriate designs (e.g. low resolution).
The existing method of replacement for searching exclusive sets of the form (α, β, αβ) available in the
literature is suitable for completely randomized designs, but it may not provide efficient plans for designs
with restricted randomization.
Originality/value – The authors provide a general framework for the practitioners and have extended the
algorithm to find out the number of generators and the number of base factor at |
format |
article |
author |
Vivacqua, Carla A. Ho, Linda Lee Pinho, André L.S. |
author_facet |
Vivacqua, Carla A. Ho, Linda Lee Pinho, André L.S. |
author_sort |
Vivacqua, Carla A. |
title |
Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty |
title_short |
Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty |
title_full |
Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty |
title_fullStr |
Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty |
title_full_unstemmed |
Mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty |
title_sort |
mixed two- and four-level experimental designs for interchangeable parts with different degrees of assembly difficulty |
publisher |
International journal of quality & reliability management |
publishDate |
2018 |
url |
https://repositorio.ufrn.br/jspui/handle/123456789/25454 |
work_keys_str_mv |
AT vivacquacarlaa mixedtwoandfourlevelexperimentaldesignsforinterchangeablepartswithdifferentdegreesofassemblydifficulty AT holindalee mixedtwoandfourlevelexperimentaldesignsforinterchangeablepartswithdifferentdegreesofassemblydifficulty AT pinhoandrels mixedtwoandfourlevelexperimentaldesignsforinterchangeablepartswithdifferentdegreesofassemblydifficulty |
_version_ |
1773966256816259072 |