View : 18 Download: 0

Allocation of the equipment path in a multi-stage manufacturing process

Title
Allocation of the equipment path in a multi-stage manufacturing process
Authors
Lim, YongBinChung, JongheePark, Changsoon
Ewha Authors
임용빈
SCOPUS Author ID
임용빈scopus
Issue Date
2015
Journal Title
JOURNAL OF THE KOREAN STATISTICAL SOCIETY
ISSN
1226-3192JCR Link1876-4231JCR Link
Citation
vol. 44, no. 3, pp. 366 - 375
Keywords
Multi-stage manufacturing processEquipment pathFractional factorial designOrthogonal arrayProduct design
Publisher
KOREAN STATISTICAL SOC
Indexed
SCIE; SCOPUS; KCI WOS scopus
Abstract
The allocation of equipment in a multi-stage process is discussed in this article. In most of the multi-stage manufacturing processes, multiple equipment are operated to minimize the waiting times between stages. Thus, the allocation of the equipment path becomes an issue in choosing the equipment for the next stage. In solving the allocation problem of the multi-stage process, it is assumed that main effects and two-way interaction effects for the two adjacent stages are significant. The efficient allocation problem for the multi-stage process for a given historical data is solved by the general linear model approach, and then the predicted responses are ordered to choose the subsequently optimal equipment paths. The effectiveness of the proposed allocation strategy is evaluated in terms of the probabilities for detecting all true effects and detecting optimal equipment path for three cases of precisions: baseline, precise errors and noisy errors. It turns out that the noisy error case is less efficient than the others. When it is possible to use pilot experiments, the efficiency of the product design of orthogonal arrays for two-level and three-level fractional factorial designs is compared to that of the random selection of factorial design points. It is shown that the former is more efficient than the latter in a case study. (C) 2014 The Korean Statistical Society. Published by Elsevier B.V. All rights reserved.
DOI
10.1016/j.jkss.2014.10.003
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE