Intelligent Manufacturing by Enhanced Product Models

2005 ◽  
Vol 6-8 ◽  
pp. 295-302 ◽  
Author(s):  
H. Bley ◽  
C. Zenner ◽  
M. Bossmann
Keyword(s):  
Quality Management ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Intelligent Manufacturing ◽  
Manufacturing Processes ◽  
Control Loops ◽  
Additional Information ◽  
Key Factor ◽  
Feature Technology

As the quality of manufactured products as well as the quality of the used manufacturing processes has become more and more important for a company in order to stay competitive in the last decades, an integrated quality management leading towards intelligent manufacturing represents a key factor today. Therefore, new methods are required for considering quality information in all phases of the product life cycle. Feature technology and especially the use of so-called measurement and quality features represent an approach towards integrated quality management and the achievement of process-oriented and global quality control loops. Furthermore, feature technology in general also represents a high potential just within the area of sheet metal forming where it can be used to provide additional information for designing manufacturing processes and constructing tools and devices in manufacturing systems.

Process-Oriented Tolerance Synthesis for Multistage Manufacturing Systems

2000 ◽  
Author(s):  
Yu Ding ◽  
Jionghua Jin ◽  
Dariusz Ceglarek ◽  
Jianjun Shi
Keyword(s):  
Product Design ◽  
Process Design ◽  
Manufacturing Systems ◽  
Minimum Cost ◽  
Manufacturing Processes ◽  
Industrial Case Study ◽  
Multistage Manufacturing ◽  
Process Oriented ◽  
Design Characteristics

Abstract In multistage manufacturing systems, quality of final products is strongly affected not only by product design characteristics but also by key process design characteristics. However, historically, tolerance research has primarily focused on allocating tolerances based on product design characteristics for each component. Currently, there is no analytical approach for multistage manufacturing processes to optimally allocate tolerances to integrate product and process characteristics at minimum cost. One of the major obstacles is that the relationship between tolerances of process and product characteristics is not well understood and modeled. Under this motivation, this paper aims at presenting a framework addressing the process-oriented (rather than product-oriented) tolerancing technique for multistage manufacturing processes. Based on a developed state space model, tolerances of process design characteristics at each fabrication stage are related to the quality of final product. All key elements in the framework are described and then derived for a multistage assembly process. An industrial case study is used to illustrate the proposed approach.

Group Technology

2010 ◽  
pp. 189-213
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Group Technology ◽  
Similarity Criterion ◽  
Intelligent Manufacturing ◽  
Successful Implementation ◽  
Management Philosophy ◽  
Coding Systems ◽  
Key Factor ◽  
Product Design Process

Group technology (GT) is a management philosophy that attempts to group products with similar design and/or manufacturing characteristics. It is also a key factor in the successful implementation of flexible manufacturing systems, and equally is one of the foundations of the implementation of intelligent manufacturing. The success of GT implementation is in the effective formation of part families and the rational layout of the manufacturing cell (machine family). In this chapter, the background and conception of (GT) are introduced, followed by succinct descriptions of the similarity criterion, classification and coding systems, and classification approaches of GT. The actual applications of GT to product design, process planning and group scheduling are discussed, and finally the summary and trends of GT are articulated.

scholarly journals Applying Selected Quality Management Tools to Creation the Ecological Quality of Manufacturing Processes and Products

2019 ◽  
Vol 297 ◽  
pp. 07001
Author(s):  
Stanisław Popek ◽  
Adam Popek
Keyword(s):  
Life Cycle ◽  
Quality Management ◽  
Steel Structures ◽  
Production Costs ◽  
Manufacturing Processes ◽  
Ecological Quality ◽  
Management Tools ◽  
Corrective Actions ◽  
A Company

The objective of this paper is to theoretically verify whether or not it is possible to apply some selected quality management tools to model the ecological quality of manufacturing processes and products in a company that is a plant manufacturing steel structures, traction towers, and lamp posts. Also, there are presented methods involving these selected quality management tools, and aiming at: solving problems occurring in this company, improving the quality of the company’s products and services, and decreasing the production costs. With quality management tools applied to determining detrimental effects of manufacturing processes and products manufactured on the environment, it is possible to control them within the entire product’s life cycle, as well to take effective corrective actions for the purpose of improving both the quality and the environment.

scholarly journals Introduction to Intelligent Quality Management

2020 ◽  
Author(s):  
Ercan Oztemel
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Intelligent Manufacturing ◽  
General Information ◽  
Manufacturing Processes ◽  
Intelligent Manufacturing Systems ◽  
Industrial Operations ◽  
Control And Management ◽  
Industrial Societies ◽  
Rapid Transformation

Intelligent manufacturing is becoming more and more attractive for industrial societies especially after the introduction of industry 4.0 where most of industrial operations are to be carried by robots equipped with intelligent capabilities. This explicitly implies that the manufacturing systems will entirely be integrated and all manufacturing functions including quality control and management will have to be made as much intelligent as possible in operating with minimum human intervention. This Chapter will present a brief overview of some implications about intelligent quality systems. It intends to provide the readers of the book to understand how the concept of artificial intelligence is to be embedded into quality functions. It is known that the interoperability is the rapid transformation requirement of industry specific operations. This requires the integration of quality functions to other manufacturing functions for sharing the quality related knowledge with other manufacturing functions in order to sustain total intelligent collaboration. Achieving this, on the other hand, ensures the improvement of manufacturing processes for better performance in an integrated manner. Note that, although some general information about intelligent manufacturing systems are given, this chapter is particularly focused on discussing intelligent quality related issues.

Experimental Research and Analysis of Selected Technological Parameters on the Roughness of Steel Area Surface HARDOX 500 with Thickness 40mm Cut by AWJ Technology

2013 ◽  
Vol 308 ◽  
pp. 13-17 ◽  
Author(s):  
Miloš Servátka ◽  
Stanislav Fabian
Keyword(s):  
Experimental Research ◽  
Manufacturing Systems ◽  
Manufacturing Processes ◽  
Large Set ◽  
Technological Parameters ◽  
New Findings ◽  
Technical University ◽  
Manufacturing Technologies

The paper presents a sample of wider set of new findings and recommendations from the area of the influence of technological parameters on the quality of surface of steel HARDOX 500 cut by AWJ technology and obtained by the evaluation of a large set of experiments within long-term activities of the Department of Manufacturing Processes Operation, Faculty of Manufacturing Technologies, Technical University in Košice, aimed at the diagnostics of operational states of manufacturing systems with AWJ technology.

Quality Management Research of all Handset Lithium Battery Engineering Parts

2013 ◽  
Vol 321-324 ◽  
pp. 2424-2430
Author(s):  
Man Hong Jin ◽  
Jing Chen ◽  
Xin Zhong
Keyword(s):  
Quality Management ◽  
Mobile Phone ◽  
Lithium Ion Battery ◽  
Lithium Battery ◽  
Lithium Ion ◽  
Management Research ◽  
Key Factor ◽  
The Common ◽  
Different Parts

with the advent of the era of 3 g, mobile phone has become a key factor restricting the development of mobile phone battery, lithium ion battery is still dominant used in mobile phone in the next four or five years. In this paper,it has been analyzed that lithium ion battery parts, and does quality management of all engineering parts, mainly focus on the quality control of the Angle of the sealing plate, sealing body and the shell, at the same time deeply analyzes the different parts of the common categories .So this paper plays a guiding role in guaranteeing the whole project management of the quality of handset lithium battery.

A Decision-Analytic Method for Competitive Design for Quality

1992 ◽  
Author(s):  
Hubert Vasseur ◽  
Thomas R. Kurfess ◽  
Jonathan Cagan
Keyword(s):  
Manufacturing Systems ◽  
Exploratory Activity ◽  
Manufacturing Processes ◽  
Analytic Method ◽  
Machine Accuracy ◽  
Design Considerations ◽  
Corporate Profit ◽  
Manufacturing Accuracy ◽  
Component Assembly

Abstract We consider the design issues of characterizing and appropriately choosing the quality of a product for maximum customer satisfaction and maximum corporate profit. We assume that the basic design configuration of a product is determined and that the designer must select the product quality by imposing statistical tolerances (manufacturing accuracy specifications) and choosing appropriate manufacturing processes. We claim that these design considerations, although often neglected, impact the behavior, cost, and even marketability of the product. A design concept without these specifications is incomplete because i) its feasibility is questionable ii) its cost of production is undetermined iii) its performance is unknown. The design process is seen here as an exploratory activity constrained by the manufacturing systems available. In particular, we provide a decision-analytic methodology to reason about the quality of product and the influences on profit resulting in a specification of manufacturing process and machine accuracy to match customer requests. The method is illustrated by the study of a simple three component assembly.

Integrated Surveillance Enhancing Quality of Decisions and Reservoir Description in the Harding Field

2010 ◽  
Vol 13 (05) ◽  
pp. 805-811 ◽  
Author(s):  
Adrian Zett ◽  
Mike Webster ◽  
Chris Davies ◽  
Pinggang Zhang ◽  
Parijat Mukerji
Keyword(s):  
Local Level ◽  
Reservoir Model ◽  
String Solution ◽  
Additional Information ◽  
Data Resolution ◽  
Key Factor ◽  
Reservoir Description ◽  
Water Cut ◽  
First Time

Summary A key factor in managing mature fields is to establish adequate surveillance in each phase of their life. The complexity increases when the field is developed with horizontal wells. Differences in data quality and resolution should be taken into consideration when planning such surveillance. Current uncertainties in Harding field relate to unreliable well conformance data using conventional production logs (PL) and assumptions in the reservoir description, which are subseismic resolution. We describe the learning from a horizontal well in Harding, where appropriate surveillance enhanced reservoir understanding and quality of decision making. Based on the initial understanding from the reservoir model, an insert string well work option was proposed to reduce water cut. Historically in this field, conventional PLs provided unreliable well conformance data in horizontal multiphase flow. To improve the characterization at the well scale, an array PL was deployed for the first time on this field. The flowing results revealed that the insert string solution was inappropriate and would result in lost oil production. The shut-in data identified crossflow between two zones separated by a shale section. In the initial model, this shale was mapped only at local level. Post surveillance, it was remapped on seismic as an extensive baffle having an impact on an area with more mobile oil to recover. There is a potential upside with a new infill target being identified toward the toe of this well. Most of the initial decisions about the insert string were based on seismic and modeling work. The new array PL data brought additional information into the model, increasing confidence in the results. Data resolution at the well level matters and this highlights the need to take more PL measurements to calibrate the seismic response and improve the reservoir model.

Convergent Beam Electron Diffraction

1978 ◽  
Vol 36 (3) ◽  
pp. 304-315
Author(s):  
G. Lehmpfuhl
Keyword(s):  
Electron Diffraction ◽  
Diffraction Pattern ◽  
Crystal Surface ◽  
Diffraction Spot ◽  
Crystal Thickness ◽  
Large Area ◽  
Electron Microscopic ◽  
Additional Information ◽  
Microscopic Investigations

Introduction In electron microscopic investigations of crystalline specimens the direct observation of the electron diffraction pattern gives additional information about the specimen. The quality of this information depends on the quality of the crystals or the crystal area contributing to the diffraction pattern. By selected area diffraction in a conventional electron microscope, specimen areas as small as 1 µ in diameter can be investigated. It is well known that crystal areas of that size which must be thin enough (in the order of 1000 Å) for electron microscopic investigations are normally somewhat distorted by bending, or they are not homogeneous. Furthermore, the crystal surface is not well defined over such a large area. These are facts which cause reduction of information in the diffraction pattern. The intensity of a diffraction spot, for example, depends on the crystal thickness. If the thickness is not uniform over the investigated area, one observes an averaged intensity, so that the intensity distribution in the diffraction pattern cannot be used for an analysis unless additional information is available.

Quality management in the prophylaxis of venous thrombembolism - Results of a survey including 464 medical and surgical patients

VASA ◽  
2011 ◽  
Vol 40 (2) ◽  
pp. 123-130
Author(s):  
Klein-Weigel ◽  
Richter ◽  
Arendt ◽  
Gerdsen ◽  
Härtwig ◽  
...  
Keyword(s):  
Renal Function ◽  
High Risk ◽  
Quality Management ◽  
High Risk Group ◽  
Surgical Patients ◽  
Medical Patients ◽  
Risk Status ◽  
Vte Prophylaxis ◽  
Safety Concerns

Background: We surveyed the quality of risk stratification politics and monitored the rate of entries to our company-wide protocol for venous thrombembolism (VTE) prophylaxis in order to identify safety concerns. Patients and methods: Audit in 464 medical and surgical patients to evaluate quality of VTE prophylaxis. Results: Patients were classified as low 146 (31 %), medium 101 (22 %), and high risk cases 217 (47 %). Of these 262 (56.5 %) were treated according to their risk status and in accordance with our protocol, while 9 more patients were treated according to their risk status but off-protocol. Overtreatment was identified in 73 (15.7 %), undertreatment in 120 (25,9 %) of all patients. The rate of incorrect prophylaxis was significantly different between the risk categories, with more patients of the high-risk group receiving inadequate medical prophylaxis (data not shown; p = 0.038). Renal function was analyzed in 392 (84.5 %) patients. In those patients with known renal function 26 (6.6 %) received improper medical prophylaxis. If cases were added in whom prophylaxis was started without previous creatinine control, renal function was not correctly taken into account in 49 (10.6 %) of all patients. Moreover, deterioration of renal function was not excluded within one week in 78 patients (16.8 %) and blood count was not re-checked in 45 (9.7 %) of all patients after one week. There were more overtreatments in surgical (n = 53/278) and more undertreatments in medical patients (n = 54/186) (p = 0.04). Surgeons neglected renal function and blood controls significantly more often than medical doctors (p-values for both < 0.05). Conclusions: We found a low adherence with our protocol and substantial over- and undertreatment in VTE prophylaxis. Besides, we identified disregarding of renal function and safety laboratory examinations as additional safety concerns. To identify safety problems associated with medical VTE prophylaxis and “hot spots” quality management-audits proved to be valuable instruments.

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