Masters Theses
Abstract
"In the recent years, firms have increasingly automated manufacturing and assembling operations to improve the productivity and reduce human error. But, manual assembly is still used to assemble complex and large scaled systems which require high reliability. With the increasing diversity & demand in customer needs and increased competition, firms are producing larger number of system variants. This trend is leading to one of the current inclination in manual assembly called mixed model assembly operation in which, the variants of the system are manufactured by utilizing the same existing assembly lines. While mixed model assembling operation saves the investing cost of setting up new assembly lines, assembly error may increase due to the higher possibility that the operators interchange the parts between the variants. Design for Assembly (DFA) is a design guideline that assists engineers to design systems that are easier to assemble; however, DFA does not provide any guideline for simultaneously designing variants of system with geometrically similar but functionally different parts being assembled in mixed model operation. This research studied the cognitive effects of non-geometric features, viz., color etc, which are used to distinguish between geometrically similar but functionally different parts. The study is done by conducting assembly experiments. In addition, as assembly productivity and error may be affected by incentive given to the operators, this study also focused on how productivity and error change with different incentive schemes"--Abstract, page iii.
Advisor(s)
Takai, Shun
Du, Xiaoping
Committee Member(s)
Chandrashekhara, K.
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Mechanical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2007
Pagination
viii, 40 pages
Note about bibliography
Includes bibliographical references (pages 37-39).
Rights
© 2007 Ramaprasad Eshwarahalli Lakshminarayana, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Assembly-line methods -- AutomationConcurrent engineeringEngineering design -- Decision makingIndustrial design
Thesis Number
T 9295
Print OCLC #
270947285
Recommended Citation
Lakshminarayana, R. E., "An experimental approach to study the cognitive effects of non-geometric part features in mixed model manual assembly" (2007). Masters Theses. 5953.
https://scholarsmine.mst.edu/masters_theses/5953
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