A Testbed to Support Collaboration Among Distributed Designers for Reverse Engineering, Re-Engineering and Fast Manufacturing

2006 ◽  
Author(s):  
Zahed Siddique ◽  
Kuang-Hua Chang ◽  
Zhiqiang Chen ◽  
Mangesh Edke
Keyword(s):  
Reverse Engineering ◽  
Ad Hoc ◽  
Turnaround Time ◽  
Technical Data ◽  
Solid Models ◽  
Advanced Manufacturing Technologies ◽  
Physical Prototype ◽  
Long Time ◽  
Commercial Off The Shelf ◽  
Manufacturing Technologies

This paper presents development of a testbed to support collaboration among a set of distributed engineers to reverse, re-engineer, and fast manufacture (RRF) components for aging aircrafts. This testbed allows a geographically distributed team to work on a design task both synchronously and asynchronously. Commercial off-the-shelf (COTS) software tools and equipment that support the RRF process have been identified, evaluated, and tested. An integration framework has also been developed and employed to create an RRF testbed. This testbed constructed using COTS software and equipment supports three major engineering tasks: the reverse engineering that supports recovering of technical data from worn sample parts, re-engineering that alters design for better performance or lower cost, and fast prototyping that incorporates advanced manufacturing technologies to produce functional or physical prototype of the part in small quantity in a short turnaround time. Traditional reverse engineering projects are ad-hoc, usually takes relatively long time to generate solid models from physical parts. The developed testbed utilizes commercial software to accomplish reverse engineering, re-engineer and fast manufacture using a systematic approach. A number of examples obtained from logistics centers have been employed to illustrate and demonstrate the capabilities established in the RRF testbed.

A NOVEL INTEGRATED SYSTEM FOR RAPID PRODUCT DEVELOPMENT

2004 ◽  
Vol 03 (02) ◽  
pp. 141-150 ◽  
Author(s):  
HONGBO LAN ◽  
YUCHENG DING ◽  
JUN HONG ◽  
DIANLIANG WU
Keyword(s):  
Product Development ◽  
Process Development ◽  
Building Blocks ◽  
Rapid Tooling ◽  
Integrated System ◽  
3D Cad ◽  
Advanced Manufacturing Technologies ◽  
Rapid Product Development ◽  
Physical Prototype ◽  
Manufacturing Technologies

This paper presents a novel integrated system of rapid product development for reducing the time and cost of product development. The system is composed of four building blocks — digital prototype, virtual prototype, physical prototype and rapid tooling manufacturing system. It can aid effectively in product design, analysis, prototype, mould, and manufacturing process development by integrating closely the various advanced manufacturing technologies which involve the 3D CAD, CAE, reverse engineering, rapid prototyping and rapid tooling. Furthermore, two actual examples are provided to illustrate the application of this integrated system. The results indicate that the system has a high potential to reduce further the cycle and cost of product development.

scholarly journals Connectivity as a Design Feature for Industry 4.0 Production Equipment: Application for the Development of an In-Line Metrology System

2021 ◽  
Vol 11 (3) ◽  
pp. 1312
Author(s):  
Ana Pamela Castro-Martin ◽  
Horacio Ahuett-Garza ◽  
Darío Guamán-Lozada ◽  
Maria F. Márquez-Alderete ◽  
Pedro D. Urbina Coronado ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Design Feature ◽  
Production Equipment ◽  
Smart Manufacturing ◽  
Process Data ◽  
Industrial Sectors ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
Equipment Application ◽  
The Impact

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.

COVID-19

2021 ◽  
pp. 454-475
Author(s):  
Kabiru Ishola Genty ◽  
Foluso I. Jayeoba ◽  
Mike O. Aremo ◽  
Tinuke M. Fapohunda ◽  
Rafiu A. Bankole
Keyword(s):  
Human Resource Management ◽  
Human Resource ◽  
Ad Hoc ◽  
Objective Assessment ◽  
Control Measures ◽  
Economic Recovery ◽  
Employment Relations ◽  
Developed Economies ◽  
The World ◽  
Long Time

The onset, spread, control measures, and the behaviour of society, government, and businesses have far reaching implications—social, economic, and legal—for the immediate and future of employment relations and human resource management in Nigerian organisations. This chapter, drawing from available COVID-19 literature, ILO, and WHO protocols, examined various concerns and challenges posed by ongoing COVID-19 pandemic and the regimes of measures which are modeled after developed economies of the world but are at best ad-hoc, panicky, ill-digested and their operations execution not based on empirical/objective assessment. COVID-19 has evidently brought job losses and unprecedented changes in work modes and some of the lessons and fallouts may live with us for a long time. Post-COVID-19 economic recovery though expected to be slow will leave the workplace and society with routines and rituals, lessons to learn and corrections to be made, not to avert future pandemics but to manage it in more precise manner with less panic and greater forthrightness.

Role of Human Resources, Production Process, and Flexibility on Commercial Benefits From AMT Investments

2022 ◽  
pp. 760-790
Author(s):  
Jorge Luis García-Alcaráz ◽  
Emilio Jiménez-Macías ◽  
Arturo Realyvásquez-Vargas ◽  
Liliana Avelar Sosa ◽  
Aide Aracely Maldonado-Macías
Keyword(s):  
Human Resources ◽  
Production Process ◽  
Direct Effect ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Manufacturing Companies ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies

Advanced manufacturing technologies (AMT) acquisition by maquiladoras (foreign-owned manufacturing companies) is a tendency that allows these companies to maximize their commercial benefits. However, it remains unclear how the AMT implementation impacts on their performance. In addition, this research studies 383 responses to a questionnaire about the AMT implementation in the Mexican maquiladora industry and reports an analysis with four latent variables associating obtained benefits after the AMT implementation—human resources, flexibility, production process, and commercial benefits—where their relationships are evaluated through six hypotheses using a structural equation model (SEM). Finally, the outcomes demonstrated that AMT benefits for human resources have a direct effect on flexibility, production process, and commercial benefits. However, the direct effect from human resources benefits, knowledge, and experience on commercial benefits are acquired through indirect effects, using flexibility and production process as mediator variables.

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