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Data Management in an Operational Context: A study at Volvo Group Trucks Operations

Enofe, Martin LU (2017) INFM10 20171
Department of Informatics
Abstract
The present customer based and data driven world of business, together with the evolving social and technological trends continue to drive product complexity and product variety to a new height, one that is characterized by product customization. In the product realization pro-cess, the assembly floor remains the most vital part of the manufacturing process; to cope with the rigorous demands of product complexity and product variety, operators rely heavily on quality assembly instruction in manual assembly operations. Previous studies conducted at Volvo Group Trucks Operations (GTO) revealed the different working processes for creating assembly instructions, due to historical growth and acquisitions of other truck manufacturers. These... (More)
The present customer based and data driven world of business, together with the evolving social and technological trends continue to drive product complexity and product variety to a new height, one that is characterized by product customization. In the product realization pro-cess, the assembly floor remains the most vital part of the manufacturing process; to cope with the rigorous demands of product complexity and product variety, operators rely heavily on quality assembly instruction in manual assembly operations. Previous studies conducted at Volvo Group Trucks Operations (GTO) revealed the different working processes for creating assembly instructions, due to historical growth and acquisitions of other truck manufacturers. These different working processes are one of the main reasons for the reported quality devia-tion in assembly operations. This thesis therefore provides the current state analysis of data and information handling in the product realization process. Two research methods, direct observation and Semi-structured interview, were employed to investigate the availability and usage of data and information in the engineering phase and in the assembly phase. The study was conducted at manual assembly stations across three production plants within a case com-pany. The result indicates gaps and differences in opinion of how data is perceived, interpret-ed and utilized. Hence there are no standard approach on how data and information is man-aged in the manufacturing engineering IT systems and assembly information systems within all levels of the organization. (Less)
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author
Enofe, Martin LU
supervisor
organization
course
INFM10 20171
year
type
H1 - Master's Degree (One Year)
subject
keywords
Data, Information, Data Management, Industry 4.0, Future manufacturing
report number
INF17-069
language
English
id
8924933
date added to LUP
2017-09-22 09:56:24
date last changed
2017-09-22 09:56:24
@misc{8924933,
  abstract     = {The present customer based and data driven world of business, together with the evolving social and technological trends continue to drive product complexity and product variety to a new height, one that is characterized by product customization. In the product realization pro-cess, the assembly floor remains the most vital part of the manufacturing process; to cope with the rigorous demands of product complexity and product variety, operators rely heavily on quality assembly instruction in manual assembly operations. Previous studies conducted at Volvo Group Trucks Operations (GTO) revealed the different working processes for creating assembly instructions, due to historical growth and acquisitions of other truck manufacturers. These different working processes are one of the main reasons for the reported quality devia-tion in assembly operations. This thesis therefore provides the current state analysis of data and information handling in the product realization process. Two research methods, direct observation and Semi-structured interview, were employed to investigate the availability and usage of data and information in the engineering phase and in the assembly phase. The study was conducted at manual assembly stations across three production plants within a case com-pany. The result indicates gaps and differences in opinion of how data is perceived, interpret-ed and utilized. Hence there are no standard approach on how data and information is man-aged in the manufacturing engineering IT systems and assembly information systems within all levels of the organization.},
  author       = {Enofe, Martin},
  keyword      = {Data,Information,Data Management,Industry 4.0,Future manufacturing},
  language     = {eng},
  note         = {Student Paper},
  title        = {Data Management in an Operational Context: A study at Volvo Group Trucks Operations},
  year         = {2017},
}