scholarly journals Simulation in Quality Management – An Approach to Improve Inspection Planning

10.14311/696 ◽  
2005 ◽  
Vol 45 (3) ◽  
Author(s):  
H.-A. Crostack ◽  
M. Höfling ◽  
J. Liangsiri

Production is a multi-step process involving many different articles produced in different jobs by various machining stations. Quality inspection has to be integrated in the production sequence in order to ensure the conformance of the products. The interactions between manufacturing processes and inspections are very complex since three aspects (quality, cost, and time) should all be considered at the same time while determining the suitable inspection strategy. Therefore, a simulation approach was introduced to solve this problem.The simulator called QUINTE [the QUINTE simulator has been developed at the University of Dortmund in the course of two research projects funded by the German Federal Ministry of Economics and Labour (BMWA: Bundesministerium für Wirtschaft und Arbeit), the Arbeitsgemeinschaft industrieller Forschungsvereinigungen (AiF), Cologne/Germany and the Forschungsgemeinschaft Qualität, Frankfurt a.M./Germany] was developed to simulate the machining as well as the inspection. It can be used to investigate and evaluate the inspection strategies in manufacturing processes. The investigation into the application of QUINTE simulator in industry was carried out at two pilot companies. The results show the validity of this simulator. An attempt to run QUINTE in a user-friendly environment, i.e., the commercial simulation software – Arena® is also described in this paper.NOTATION: QUINTE Qualität in der Teilefertigung  (Quality in  the manufacturing process)  

Author(s):  
Elisa Verna ◽  
Gianfranco Genta ◽  
Maurizio Galetto ◽  
Fiorenzo Franceschini

AbstractDesigning appropriate quality-inspections in manufacturing processes has always been a challenge to maintain competitiveness in the market. Recent studies have been focused on the design of appropriate in-process inspection strategies for assembly processes based on probabilistic models. Despite this general interest, a practical tool allowing for the assessment of the adequacy of alternative inspection strategies is still lacking. This paper proposes a general framework to assess the effectiveness and cost of inspection strategies. In detail, defect probabilities obtained by prediction models and inspection variables are combined to define a pair of indicators for developing an inspection strategy map. Such a map acts as an analysis tool, enabling positioning assessment and benchmarking of the strategies adopted by manufacturing companies, but also as a design tool to achieve the desired targets. The approach can assist designers of manufacturing processes, and particularly low-volume productions, in the early stages of inspection planning.


2014 ◽  
Vol 693 ◽  
pp. 463-468
Author(s):  
Radek Havlik ◽  
Alena Gottwaldova

This paper deals with research in a computer simulation of the manufacturing processes. This article propose a platform for final users when doing experiment with a processes simulation models. The propose platform is called “user friendly”. A module for a final users is not universal but is a midi-universal. The midi-universal module cooperates with the computer simulation software, especially for this experiment has been used software called “Witness”. A platform for multi-criteria analysis is made in a Visual Basic software.


1999 ◽  
Vol 122 (3) ◽  
pp. 520-528 ◽  
Author(s):  
Chang-Xue (Jack) Feng ◽  
Andrew Kusiak

Design of tolerances impacts quality, cost, and cycle time of a product. Most literature on deterministic tolerance design has focused on developing exact and heuristic algorithms to minimize manufacturing cost. Some research has been published on probabilistic tolerance synthesis and optimization. This paper presents the design of experiments (DOE) approach for concurrent selection of component tolerances and the corresponding manufacturing processes. The objective is to minimize the variation of tolerance stackups. Numerical examples illustrate the methodology. The Monte Carlo simulation approach is used to obtain component tolerances and tolerance stackups. Process shift, the worst case and root sum square tolerance stackup constraints, and setup reduction constraints have been incorporated into the proposed methodology. Benefits of the proposed DOE approach over exact algorithms are discussed. [S1087-1357(00)00202-1]


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3298
Author(s):  
Gianpiero Colangelo ◽  
Brenda Raho ◽  
Marco Milanese ◽  
Arturo de Risi

Nanofluids have great potential to improve the heat transfer properties of liquids, as demonstrated by recent studies. This paper presents a novel idea of utilizing nanofluid. It analyzes the performance of a HVAC (Heating Ventilation Air Conditioning) system using a high-performance heat transfer fluid (water-glycol nanofluid with nanoparticles of Al2O3), in the university campus of Lecce, Italy. The work describes the dynamic model of the building and its heating and cooling system, realized through the simulation software TRNSYS 17. The use of heat transfer fluid inseminated by nanoparticles in a real HVAC system is an innovative application that is difficult to find in the scientific literature so far. This work focuses on comparing the efficiency of the system working with a traditional water-glycol mixture with the same system that uses Al2O3-nanofluid. The results obtained by means of the dynamic simulations have confirmed what theoretically assumed, indicating the working conditions of the HVAC system that lead to lower operating costs and higher COP and EER, guaranteeing the optimal conditions of thermo-hygrometric comfort inside the building. Finally, the results showed that the use of a nanofluid based on water-glycol mixture and alumina increases the efficiency about 10% and at the same time reduces the electrical energy consumption of the HVAC system.


2013 ◽  
Vol 309 ◽  
pp. 366-371 ◽  
Author(s):  
František Manlig ◽  
Radek Havlik ◽  
Alena Gottwaldova

This paper deals with research in computer simulation of manufacturing processes. The paper summarizes the procedures associated with developing the model, experimenting with and evaluating the model results. The key area is of experimentation with the simulation model and evaluation using indicators or multi-criteria functions. With regards to the experiment the crucial variables are the simulation model. The key ideas are to set the number of variables, depending on what a given simulation will be. For example, when introducing new technology into production, modify the type of warehouse, saving workers, thus economizing. The simulation models for the operational management uses simplified models, if possible, a minimum number of variables to obtain the result in shortest possible time. These models are more user friendly and the course will be conducted mostly in the background. An example of a criteria function is the number of parts produced or production time. Multi-criteria function has given us the opportunity to make better quality decisions. It is based on the composition of several parameters, including their weight to one end point. The type of evaluation functions, whether it is an indicator or criteria function is selected and based on customer requirements. In most cases it is recommended to use the multi-dimensional function. It gives us a more comprehensive view of the results from the model and facilitates decision-making. The result of this paper is a display of setting parameters for the experimentation on a sample model. Furthermore, the comparisons of results with a multi-criteria objective function and one-criterion indicator.


2021 ◽  
Vol 23 (2) ◽  
pp. 5-7
Author(s):  
Jane C. Duffy

ASTIS offers over 83,000 records that provide freely available access to publications, including research and research projects, about Canada's north. This database is a product of the Arctic Institute of North America at the University of Calgary, Alberta, Canada which also maintains subsidiary regional, subject, and initiative-based databases. The subsidiary databases are all housed within and accessible through the main ASTIS database. Examples of the smaller databases include: ArcticNet Publications Database, the Nunavik Bibliography, and the Northern Granular Resources Bibliographic Database. ASTIS offers the ability to browse through its access points, including its own thesauri, thus permitting users to select and use a variety of free-text and controlled search terms.


1984 ◽  
Vol 16 (2) ◽  
pp. 145-150 ◽  
Author(s):  
Jeffrey L. Jordan ◽  
Rusty Brooks

AbstractThis paper describes a microcomputer software package, IO/EAM: An Input-Output Economic Assessment Model, which was developed at the University of Georgia through a joint extension-research effort. The package is a menudriven, user friendly program that is designed to be used by county extension agents, researchers, and other extension personnel to estimate the economic impact of changes in county economies. The program employs an input-output model that provides users with a locally based, easily updated source of economic intelligence. Use of input-output techniques allows users to estimate the impact of changes in county economies on an industry-by-industry basis and to account for the interdependencies among these industries in a county.


Author(s):  
Francesco Caratozzolo ◽  
Alberto Traverso ◽  
Aristide F. Massardo

This work presents the re-engineering of the TRANSAT 1.0 code which was developed to perform off-design and transient condition analysis of Saturators and Direct Contact Heat Exchangers. This model, now available in the 2.0 release, was originally implemented in FORTRAN language, has been updated to C language, fully coded into MATLAB/Simulink® environment and validated using the extensive set of data available from the MOSAT project, carried out by the Thermochemical Power Group of the University of Genoa. The rig consists of a fully instrumented modular vertical saturator, which is controlled and monitored with a LABVIEW® computer interface. The simulation software showed fair stability in computation and in response to step variation of the main parameters driving the thermodynamic evolution of the air and water flows. Considering the actual mass flow rates, a geometric similitude was used to avoid calculation instability due to flows under 100 g/s. Overall the model proved to be reliable and accurate enough for energy system simulations.


1982 ◽  
Vol 26 (3) ◽  
pp. 279-291 ◽  
Author(s):  
Stuart Macdonald ◽  
Tom Mandeville ◽  
Don Lamberton

This paper is based on a research report published at the University of Queensland in November 1980, which emanated from research commissioned by the University's Research Committee and carried out by the authors. The study was concerned with the problem of distributing resources available for research and concluded that there was not an efficient use of such resources in the University of Queensland. Part of the study considered attempts to increase efficiency by funding those research projects which seemed to possess most merit. Such policy is becoming more common in Australian universities and this is understandable during a period of financial stringency. However, the policy seems to ignore the substantial costs associated with applying for merit grants, and to assume that any scheme funding the most deserving research automatically improves the efficiency of research funding. That is not necessarily so. Most research funding in Australian universities is provided in the form of staff salaries. When staff time is occupied by the merit application and assessment process, it is not available for research. Consequently there is a cost to research, a cost that is not widely appreciated and one which may well exceed the benefits of ill-considered merit schemes.


SURG Journal ◽  
2013 ◽  
Vol 6 (2) ◽  
pp. 78-92
Author(s):  
Melanie Barry ◽  
Shannon Ferraro ◽  
Kaitlyn Wagner

ZOO*4300 (Marine Biology and Oceanography) is a senior-level field course offered by the Department of Integrative Biology at the University of Guelph. This two-week course is held at the Huntsman Marine Science Centre in St. Andrew’s New Brunswick, Canada. Students enrolled in the course study various aspects of the ecology, behaviour, physiology, biochemistry and genetics of marine organisms using a variety of oceanographic techniques. The course also includes group exercises to study various intertidal and sub-tidal environments as well as boat cruises to collect plankton, benthic invertebrates, marine fish, and to observe marine mammals. The course provides excellent opportunities for students to familiarize themselves with state-of-the-art techniques involved in various branches of marine biology and oceanography and conduct an individual research project. This feature highlights three individual research projects by University of Guelph students. More information about the field course in marine biology and oceanography is accessible at the following link: http://www.uoguelph.ca/ib/undergrad/fieldcourses_marine.shtml.


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