Concurrent Engineering of Tolerance Synthesis and Process Selection for Products with Multiple Quality Characteristcs Considering Process Capability
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A New Non-Parametric Process Capability Index
A New Non-parametric Process Capability Index Deovrat Kakde Arin Chaudhuri Diana Shaw SAS Institute Inc. SAS Institute Inc. SAS Institute Inc. SAS Campus Dr., SAS Campus Dr., SAS Campus Dr., Cary, NC 27513, USA Cary, NC 27513, USA Cary, NC 27513, USA Email: [email protected] Email: [email protected] Email: [email protected] Abstract—Process capability index (PCI) is a commonly used Often manufacturing processes are not centered at the mid- statistic to measure ability of a process to operate within the given point of tolerance band. For such processes, PCI Cpk is specifications or to produce products which meet the required recommended. For a process centered at tolerance midpoint quality specifications. PCI can be univariate or multivariate depending upon the number of process specifications or qual- value, Cp and Cpk are identical. ity characteristics of interest. Most PCIs make distributional Many manufacturing processes have two or more corre- assumptions which are often unrealistic in practice. lated parameters of interest, which need to be monitored and This paper proposes a new multivariate non-parametric pro- controlled. For such processes, multivariate PCI are used. An cess capability index. This index can be used when distribution of excellent overview of various multivariate process capability the process or quality parameters is either unknown or does not follow commonly used distributions such as multivariate normal. indexes is provided in [19]. One of the popular parametric multivariate PCI is the multivariate capability vector (abbrevi- I. INTRODUCTION ated as MPCI) [12], [15]. This vector has three components. The first two components are computed with an assumption A process capability index (PCI) is an objective measure that the process data follows a multivariate normal distribution. -
Application of Monte Carlo Technique for Analysis of Tolerance & Allocation of Reciprocating Compressor Assembly 1Somvir Arya, 2Sachin Kumar, 3Viney Jain 1Dept
ISSN : 2249-5762 (Online) | ISSN : 2249-5770 (Print) IJRMET VOL . 2, ISSU E 1, AP ri L 2012 Application of Monte Carlo Technique for Analysis of Tolerance & Allocation of Reciprocating Compressor Assembly 1Somvir Arya, 2Sachin Kumar, 3Viney Jain 1Dept. of IIET, Mech. Engg., Kinana, Jind, Haryana, India ²Dept. of IIET, Electrical. Engg., Kinana, JInd, Haryana, India 3ACE & AR, Mithapur, Ambala, Haryana, India Abstract In order for mating feature (faces) of parts to fit together and The variation in part dimensions is one of the main causes of operate properly, each part must be manufactured within these variation in product quality. The allowable range in which the limits. The key, gears on the shaft, and other similar members dimension can vary is called tolerance. Tolerance can be expressed mounted by press or shrink-fit are toleranced so that the desired in either of two ways, 1). Bilatera 2). Unilateral tolerance. In interference is maintained without being so large as to make the bilateral tolerance, it is specified as plus or minus deviation from assembly impossible or the resulting stress too high. Tolerancing the basic size. In unilateral tolerance, variation is permitted only in is essential element of mass production and interchangeable one side direction from the basic size. If a part size and shape are not manufacturing, by which parts can be made in widely separated within tolerance limit, the part is not acceptable. The assignment location and then brought together for assembly. Tolerancing of actual values to the tolerance limits has major influence on makes it also possible for spare parts to replace broken or worn the overall cost and quality of an assembly or product. -
System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting
polymers Article System Performance and Process Capability in Additive Manufacturing: Quality Control for Polymer Jetting Razvan Udroiu * and Ion Cristian Braga Department of Manufacturing Engineering, Transilvania University of Brasov, 29 Eroilor Boulevard, 500036 Brasov, Romania; [email protected] * Correspondence: [email protected]; Tel.: +40-268-421-318 Received: 19 May 2020; Accepted: 3 June 2020; Published: 4 June 2020 Abstract: Polymer-based additive manufacturing (AM) gathers a great deal of interest with regard to standardization and implementation in mass production. A new methodology for the system and process capabilities analysis in additive manufacturing, using statistical quality tools for production management, is proposed. A large sample of small specimens of circular shape was manufactured of photopolymer resins using polymer jetting (PolyJet) technology. Two critical geometrical features of the specimen were investigated. The variability of the measurement system was determined by Gage repeatability and reproducibility (Gage R&R) methodology. Machine and process capabilities were performed in relation to the defined tolerance limits and the results were analyzed based on the requirements from the statistical process control. The results showed that the EDEN 350 system capability and PolyJet process capability enables obtaining capability indices over 1.67 within the capable tolerance interval of 0.22 mm. Furthermore, PolyJet technology depositing thin layers of resins droplets of 0.016 mm allows for manufacturing in a short time of a high volume of parts for mass production with a tolerance matching the ISO 286 IT9 grade for radial dimension and IT10 grade for linear dimensions on the Z-axis, respectively. Using microscopy analysis some results were explained and validated from the capability study. -
Design Approach for Quality Improvement and Cost Reduction: a Case Study of Cable Manufacturing
Design Approach for Quality Improvement and Cost Reduction: A Case Study of Cable Manufacturing Chukwuebuka. M. U-Dominic1*, Harold C. Godwin1 and Nkemakonam Igbokwe1 1Department of Industrial and Production Engineering, Nnamdi Azikiwe University, Awka, Nigeria. Authors’ contributions This work was carried out in collaboration among all authors. All authors read and approved the final manuscript. Case Study ABSTRACT In this study, an extrusion process was studied in a cable manufacturing company located in Southeastern Nigeria. The critical-to-quality (CTQ) characteristic considered in the study was the cable diameter and the design effort was to reduce the possibilities of having cables with inconsistent dimensions. Taguchi Orthogonal Array Design L16 (4˄2) was used to achieve the optimum parameter settings after statistically investigating the assumed correlations between the process parameters in relation to cable dimension. Thereafter, an appropriate engineering tolerance interval for the improved process was designed to tighten the existing tolerance of the process from T±0.185 to T±0.032, thus reducing the engineering tolerance by 82.7% from the initial tolerance limit. After the process improvement, the Taguchi loss function approach was used to estimate cost attributed to deviations. The loss function estimation result has shown that the cost attributed to cable diameter deviations from the nominal value reduced from the initial value of ₦7.34/coil to a reduced cost of ₦2.08/coil. The sigma level increased from 0.6 to 5.2 at the project termination stage and the estimated annual loss decreased by 72% from the baseline value. Keywords: Cable manufacturing; engineering tolerance; loss function; sigma level; Taguchi design. -
Contents Process Analytics, SPC and Lean.Pdf
Contents 1. Introduction to Continuous Improvement and Variation Reduction ... Bookmark not defined. 1.1 Historical Perspective ........................................................... 1.1.1 Deming’s (Shewhart’s) Views and Influences (80s and 90s) ..................... 1.1.2 Shewhart Cycle or "Plan-Do-Check-Act" (PDCA) Cycle ........................ 1.1.3 Taguchi, Ishikawa and others (80s and 90s) pre Six-sigma Era ................. 1.1.4 “Six-Sigma” Quality (90s and 2000s)......................................................... 1.1.5 Lean Six Sigma (‘LSS’) Era (2000s) .......................................................... 1.1.6 ‘Lean’ and Taiichi Ohno ............................................................................. 1.2 Cost of Variation – Relationships to Target ......................... 1.3 Key Process Variables .......................................................... 2. Understanding Natural Variation ........................ 2.1 Group Exercise: “Deming’s Red Bead Box Experiment” .... 3. Quantifying Variation - Statistical Process Control (SPC) ... 3.1 Estimating Natural Variation & Special-Cause Variation .... 3.1.1 The Central Limit Theorem ........................................................................ 3.2 Probability Density Function ................................................ 3.3 The Shewhart Control Chart (What is important to know?) . 3.4 Run Charts/Trend Analysis .................................................. 3.5 Control Charts – Important Considerations .......................... 3.6 -
Finished Vehicle Logistics by Rail in Europe
Finished Vehicle Logistics by Rail in Europe Version 3 December 2017 This publication was prepared by Oleh Shchuryk, Research & Projects Manager, ECG – the Association of European Vehicle Logistics. Foreword The project to produce this book on ‘Finished Vehicle Logistics by Rail in Europe’ was initiated during the ECG Land Transport Working Group meeting in January 2014, Frankfurt am Main. Initially, it was suggested by the members of the group that Oleh Shchuryk prepares a short briefing paper about the current status quo of rail transport and FVLs by rail in Europe. It was to be a concise document explaining the complex nature of rail, its difficulties and challenges, main players, and their roles and responsibilities to be used by ECG’s members. However, it rapidly grew way beyond these simple objectives as you will see. The first draft of the project was presented at the following Land Transport WG meeting which took place in May 2014, Frankfurt am Main. It received further support from the group and in order to gain more knowledge on specific rail technical issues it was decided that ECG should organise site visits with rail technical experts of ECG member companies at their railway operations sites. These were held with DB Schenker Rail Automotive in Frankfurt am Main, BLG Automotive in Bremerhaven, ARS Altmann in Wolnzach, and STVA in Valenton and Paris. As a result of these collaborations, and continuous research on various rail issues, the document was extensively enlarged. The document consists of several parts, namely a historical section that covers railway development in Europe and specific EU countries; a technical section that discusses the different technical issues of the railway (gauges, electrification, controlling and signalling systems, etc.); a section on the liberalisation process in Europe; a section on the key rail players, and a section on logistics services provided by rail. -
Ohio University Library Acknowledgements
COST TOLERANCE OPTIMIZATION FOR PIECEWISE CONTINUOUS COST TOLERANCE FUNCTIONS A Thesis Presented to The Faculty of the Fritz J. and Dolores H. Russ College of Engineering and Technology Ohio University In Partial Fulfillment of the Requirement for the Degree Master of Science by Murtaza Kaium Shehabi June, 2002 OHIO UNIVERSITY LIBRARY ACKNOWLEDGEMENTS The definition of a 'Thesis' was once preached to me as a work in one's field of academic interest. It is a contribution, which addresses a problem that has not been resolved to date. In my endeavor to accomplish what no person has, I am truly indebted to my advisors Dr. Gerth and Dr. Masel. Their constant encouragement and belief in my capabilities was invaluable. A great portion of my research involved programming in Visual Basic. I was extremely fortunate to have received guidance from Dr. Dhamija through some of the most critical phases of my research. Dr. Masel was very supportive, especially towards the end stages of my work. During the course of my efforts I found rejuvenating strength in the saying that, "Hope is a good thing to have, perhaps the best of things - and good things never die". My parents and brother have been very instrumental in shaping my life and thoughts. Every friend I have known who has inspired me to believe in myself; this is my opportunity to thank each one of you. Even as I write this, perceiving the end of my academic career, temporarily, the famous words from Robert Frost ring through my mind - "Miles to go before I sleep, Miles to go before I sleep" Table of Contents LIST OF TABLES .................................................................................vi . -
Deploying Geometric Dimensioning and Tolerancing in Construction
buildings Article Deploying Geometric Dimensioning and Tolerancing in Construction Saeed Talebi 1,* , Lauri Koskela 1 , Patricia Tzortzopoulos 1 , Michail Kagioglou 2 and Alex Krulikowski 3 1 Innovative Design Lab, School of Art, Design and Architecture, University of Huddersfield, HD1 3DH Huddersfield, UK; [email protected] (L.K.); [email protected] (P.T.) 2 School of Engineering, Western Sydney University, NSW 2751 Sydney, Australia; [email protected] 3 Krulikowski Consulting LLC, Bradenton, FL 34202, USA; [email protected] * Correspondence: [email protected] Received: 31 December 2019; Accepted: 24 March 2020; Published: 26 March 2020 Abstract: No standardised approach appears to exist in the architecture, engineering, and construction (AEC) industry for the communication of tolerance information on drawings. As a result of this shortcoming, defects associated with dimensional and geometric variability occur with potentially severe consequences. In contrast, in mechanical engineering, geometric dimensioning and tolerancing (GD&T) is a symbolic language widely used to communicate both the perfect geometry and the tolerances of components and assemblies. This paper prescribes the application of GD&T in construction with the goal of developing a common language called geometric dimensioning and tolerancing in construction (GD&TIC) to facilitate the communication of tolerance information throughout design and construction. design science research is the adopted methodological approach. Evidence was -
Online Course Catalogue
CCSCARE.CO Workplace Training Courses Catalogue-WORK CAREER OPPORTUNITIES Employment Training with Home and Work Studies Catalogue of over 600 programs individually designed to assist you in finding employment. CCSCARE Academy 04/28/2019 CCSCARE.CO Business – Healthcare – Technology Courses Table of Contents ADMINISTRATIVE, LEGAL, MEDICAL AND DENTAL OFFICE-WORK CAREER OPPORTUNITIES .......................................................................................................................... 9 CAREER OPPORTUNITIES ..................................................................................................... 9 CHOOSE YOUR CAREER ....................................................................................................... 9 ADMINISTRATIVE ASSISTANT ................................................................................................ 9 EXECUTIVE SECRETARY’S COURSE ................................................................................. 9 BUSINESS RECORDS MANAGEMENT .............................................................................. 10 BUSINESS COMMUNICATIONS: PROCESS AND PRODUCT ......................................... 10 Community Health Caregiver Service .......................................................................................... 11 CERTIFIED CAREGIVER/PERSONAL SUPPORT WORKER ........................................... 11 COMMUNITY HEALTH AND HOME CARE ...................................................................... 11 CAREER OPPORTUNITIES IN COMMUNITY HEALTH/CAREGIVER -
Process Capability Process Capability
Islamic University, Gaza - Palestine Islamic University, Gaza - Palestine Department of Industrial Engineering Department of Industrial Engineering Statistical Quality Control Process Capability Presented by Presented by Dr. Eng. Abed Schokry Dr. Eng. Abed Schokry Islamic University, Gaza - Palestine Islamic University, Gaza - Palestine Process Capability Process Capability • Process capability refers to the ability of a process to produce products or provide services capable of meeting the specifications set • Tolerances or specifications by the customer or designer. – Range of acceptable values established by engineering • Specification limits are set by management in response to customers’ design or customer requirements expectations • Process variability • The upper specification limit (USL) is the largest value that can be – Natural variability in a process obtained and still conform to customers’ expectations • Process capability • The lower specification limit (LSL) is the smallest value that is still conforming – Process variability relative to specification 1 Islamic University, Gaza - Palestine Islamic University, Gaza - Palestine Tolerance Limits vs. Process Capability Process Capability Specification Width PROCESS SPREAD SPECIFIED TOLERANCES ` SPECIFIED TOLERANCES ` PROCESS SPREAD Specification Width Actual Process Width A capable process An incapable process Actual Process Width Islamic University, Gaza - Palestine Islamic University, Gaza - Palestine Process Capability Specification limits • Specification limits, the allowable -
Managing Uncertainty from Conceptual Design to Final Product
Tolerancing: Managing uncertainty from conceptual design to final product Edward Morse, Jean-Yves Dantan, Nabil Anwer, Rikard Söderberg, Giovanni Moroni, Ahmed Qureshi, Xiangqian Jiang, Luc Mathieu To cite this version: Edward Morse, Jean-Yves Dantan, Nabil Anwer, Rikard Söderberg, Giovanni Moroni, et al.. Toler- ancing: Managing uncertainty from conceptual design to final product. CIRP Annals - Manufacturing Technology, Elsevier, 2018, 67 (2), pp.695-717. 10.1016/j.cirp.2018.05.009. hal-01940533 HAL Id: hal-01940533 https://hal.archives-ouvertes.fr/hal-01940533 Submitted on 30 Nov 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Tolerancing: Managing uncertainty from conceptual design to final product a, b c d Edward Morse (3) *, Jean-Yves Dantan (2) , Nabil Anwer (2) , Rikard Söderberg (2) , e f g c Giovanni Moroni (2) , Ahmed Qureshi , Xiangqian Jiang (1) , Luc Mathieu (1) a University of North Carolina at Charlotte, 9201 University City Blvd, Charlotte, NC 28223, USA b École Nationale Supérieure d’Arts et Métiers, 4, rue Augustin Fresnel, Metz Technopole, 57078 Metz Cedex 3, France c LURPA, ENS Paris-Saclay, Université Paris Sud, Université Paris-Saclay, 94230 Cachan, France d Chalmers University of Technology, 41296 Göteborg, Sweden e Politecnico Milano, via La Masa 1, 20156 Milano, Italy f University of Alberta 116 St. -
General 2-D Tolerance Analysis of Mechanical Assemblies with Small Kinematic Adjustments
General 2-D Tolerance Analysis of Mechanical Assemblies with Small Kinematic Adjustments Kenneth W. Chase Jinsong Gao Spencer P. Magleby Department of Mechanical Engineering Brigham Young University Abstract Assembly tolerance analysis is a key element in industry for improving product quality and reducing overall cost. It provides a quantitative design tool for predicting the effects of manufacturing variation on performance and cost. It promotes concurrent engineering by bringing engineering requirements and manufacturing requirements together in a common model. A new method, called the Direct Linearization Method (DLM), is presented for tolerance analysis of 2-D mechanical assemblies which generalizes vector loop-based models to include small kinematic adjustments. It has a significant advantage over traditional tolerance analysis methods in that it does not require an explicit function to describe the relationship between the resultant assembly dimension(s) and manufactured component dimensions. Such an explicit assembly function may be difficult or impossible to obtain for complex 2-D assemblies. The DLM method is a convenient design tool. The models are constructed of common engineering elements: vector chains, kinematic joints, assembly datums, dimensional tolerances, geometric feature tolerances and assembly tolerance limits. It is well suited for integration with a commercial CAD system as a graphical front end. It is not computationally intensive, so it is ideally suited for iterative design. A general formulation is derived, detailed modeling and analysis procedures are outlined and the method is applied to two example problems. 2 1. Introduction An important consideration in product design is the assignment of tolerances to individual component dimensions so the product can be produced economically and function properly.