Assistive Robots in Highly Flexible Automotive Manufacturing Processes

2018 ◽  
pp. 203-215
Author(s):  
Tim Schleicher ◽  
Angelika C. Bullinger
Keyword(s):  
Manufacturing Processes ◽  
Automotive Manufacturing ◽  
Assistive Robots

scholarly journals Smart and Agile Manufacturing Framework, A Case Study for Automotive Industry

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5766
Author(s):  
Gullelala Jadoon ◽  
Ikram Ud Din ◽  
Ahmad Almogren ◽  
Hisham Almajed
Keyword(s):  
Automotive Industry ◽  
Agile Manufacturing ◽  
Smart Manufacturing ◽  
Manufacturing Processes ◽  
Automotive Manufacturing ◽  
Development Models ◽  
Performance Matrix ◽  
To Come ◽  
And Performance ◽  
Traditional Manufacturing

Smartness and agility are two quality measures that are pragmatic to achieve a flexible, maintainable, and adaptable system in any business. The automotive industry also requires an enhanced performance matrix and refinement in the development strategies for manufacturing. The current development models used in automotive manufacturing are not optimal enough; thus, the overall expenditure is not properly managed. Therefore, it is essential to come up with flexible, agile techniques incorporating traceability methods. It overcomes the traditional manufacturing approaches that are usually inflexible, costly, and lack timely customer feedback. The article focuses on significant Requirements Management (RM) activities, including traceability mechanism, smart manufacturing process, and performance evaluation of the proposed methods in the automotive domain. We propose a manufacturing framework that follows smart agile principles along with proper traceability management. Our proposed approach overcomes the complexities generated by traditional manufacturing processes in automotive industries. It gives an insight into the future manufacturing processes in the automotive industries.

Water Consumption due to Electricity Generation Versus Manufacturing Processes in an Automotive Life-Cycle

2013 ◽  
Author(s):  
John Semmens ◽  
Bert Bras ◽  
Tina Guldberg
Keyword(s):  
Life Cycle ◽  
Electric Power ◽  
Water Consumption ◽  
Electricity Generation ◽  
Power Plants ◽  
Electricity Consumption ◽  
Manufacturing Processes ◽  
Thermo Electric ◽  
Automotive Manufacturing ◽  
Electric Power Plants

In this paper, we investigate and compare the amounts and impacts of water consumption due to manufacturing processes versus the water consumption due to the electricity used in those manufacturing processes. As is shown using automotive manufacturing as a case study, the “indirect” water consumption in manufacturing due to electricity generation is significant. Reduction of electricity consumption, in particular from thermo-electric power plants, can lead to substantial water consumption reductions, and thus win-win situations. We also show the amounts of variability that occur dependent on how water consumption of hydro-electric power generation is calculated. In terms of an automotive life-cycle, the amount of water consumed in the production of gasoline dominates the life-cycle, but is itself subject to significant variations dependent on the source of the petroleum used.

Impact of fiber structure on edge-wicking of highly-sized paperboard

TAPPI Journal ◽  
2018 ◽  
Vol 17 (08) ◽  
pp. 437-443
Author(s):  
Lebo Xu ◽  
Jeremy Meyers ◽  
Peter Hart
Keyword(s):  
Fiber Surface ◽  
Manufacturing Processes ◽  
Paper Machine ◽  
Liquid Penetration ◽  
Fiber Structure ◽  
Cut Edge ◽  
Local Fiber

Coffee edge-wicking testing was conducted on two groups of highly-sized paperboard manufactured at two mills with similar manufacturing processes, but with vastly different local fiber sources. Although the Hercules size test (HST) indicated similar internal size levels between the two types of board, the edge-wicking behavior was noticeably different. Analysis of fiber structure revealed that the board with more edge-wicking had fibers with thicker fiber walls, which kept the fiber lumen more open after pressing and drying on a paper machine. It was demonstrated that liquid penetration through voids between fibers in highly-sized paperboard was limited, because the fiber surface was well protected by the presence of sufficient sizing agent. Nevertheless, freshly exposed fiber walls and lumens at the cut edge of the sheet were not protected by sizing material, which facilitated edge-wicking. The correlation between fiber structure and edge-wicking behavior was highlighted in this work to inspire development of novel sizing strategies that protect the freshly cut edge of the sheet from edge-wicking.

An Overview of 300 mm SOI Starting Wafer Quality and Its Yield Detractors

2005 ◽  
Author(s):  
Pei Y. Tsai ◽  
Junedong Lee ◽  
Paul Ronsheim ◽  
Lindsay Burns ◽  
Richard Murphy ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Device Fabrication ◽  
Sampling Plan ◽  
Silicon On Insulator ◽  
Manufacturing Processes ◽  
Circuit Performance ◽  
Characterization Techniques ◽  
Wafer Manufacturing

Abstract A stringent sampling plan is developed to monitor and improve the quality of 300mm SOI (silicon on insulator) starting wafers procured from the suppliers. The ultimate goal is to obtain the defect free wafers for device fabrication and increase yield and circuit performance of the semiconductor integrated circuits. This paper presents various characterization techniques for QC monitor and examples of the typical defects attributed to wafer manufacturing processes.

Towards High Accuracy Fault Diagnosis of Digital Circuits

2004 ◽  
Author(s):  
Camelia Hora ◽  
Stefan Eichenberger
Keyword(s):  
Fault Diagnosis ◽  
Fault Location ◽  
Digital Circuits ◽  
High Accuracy ◽  
Manufacturing Processes ◽  
Diagnosis Method ◽  
Technology Trend

Abstract Due to the development of smaller and denser manufacturing processes most of the hardware localization techniques cannot keep up satisfactorily with the technology trend. There is an increased need in precise and accurate software based diagnosis tools to help identify the fault location. This paper describes the software based fault diagnosis method used within Philips, focusing on the features developed to increase its accuracy.

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