Management Operation Management Characteristics of Job and Batch
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10 Tips & Tricks for Improving Machine Shop Efficiency
10 Tips & Tricks for Improving Machine Shop Efficiency At Xometry Supplies, our mission is to help your shop be as efficient and profitable as possible. That’s why we provide instant quotes and fast shipping on high-quality materials and tools. Visit us at www.xometry.com/supplies and check out our selection of top tooling brands and custom cuts. But we want to do more than provide you materials—we want to help you run your shop more efficiently. Below are 10 tips for running a more efficient shop. If you have anything you think we should add to this list, please reach out to us at [email protected]. 1. Learn About Lean Manufacturing Principles One of the most popular ways to improve almost any manufacturing process is to adopt a Lean Manufacturing framework. Lean management is all about improving operations continuously (you can always get better!) and reducing waste wherever you find it. Some key concepts from lean manufacturing to keep in mind are: • Customer Value: Define what your customer thinks is most valuable and optimize your operations to deliver on these things. By keeping the customer in mind, you ensure that everything you do will have an impact • Flow: Lean is all about making things flow faster. Every day, look for ways to simplify your procedures, keep your manufacturing floor organized, and have the right people doing the right jobs at the right times. • Respect & Empowerment: Create a culture where every employee—from the highest ranking to the lowest—feels comfortable pointing out opportunities for improvement and is empowered to fix things and make changes. -
Lean Manufacturing in a High Containment Environment
IPT 32 2009 11/3/10 15:48 Page 74 Manufacturing Lean Manufacturing in a High Containment Environment By Georg Bernhard A case study of how Pfizer’s Right First Time strategy helped overcome at Pfizer Global daunting capacity challenges at its new large-scale containment facility Manufacturing at Illertissen, Germany, while Six Sigma and Lean strategies enabled the site to achieve previously unknown levels of efficiency. In late 2006, Pfizer launched its smoking cessation film-coated tablets. All of the process stages (granulation, product varenicline, known as Chantix® in the US tableting and coating) are controlled and monitored from and Champix® across Europe. According to IMS a separate control room so that employees do not come benchmarks, Champix® was the fastest product launch in into contact with dust that might be generated during the the European pharmaceutical industry, with marketing tablet production run. Transport is handled by automated, in 16 European countries in a five-month period. As well and entirely robotic, laser-guided vehicles. Operators as creating rapid and unprecedented consumer demand, monitor and control all containment room activities from the product launch also brought capacity challenges for a separate control room. Pfizer Inc’s small-scale IllertissenCONtainment (ICON) facility in Illertissen, Germany. The facility’s innovative IT systems integration enabled an extraordinary 85 per cent level of automation (LoA), A strategic site in Pfizer’s global manufacturing network, outstripping even the ICON facility’s extremely high 76 per Illertissen is focused on oral solid dosage forms and is a cent LoA. Thus, in NEWCON, all process sequences centre of excellence in containment production. -
Automationml 2.0 (CAEX 2.15)
Application Recommendation Provisioning for MES and ERP – Support for IEC 62264 and B2MML Release Date: November 7, 2018 ID: AR-MES-ERP Version: 1.1.0 Compatibility: AutomationML 2.0 (CAEX 2.15) Provisioning for MES and ERP Author: Bernhard Wally [email protected] Business Informatics Group, CDL-MINT, TU Wien AR-MES-ERP 1.1.0 2 Provisioning for MES and ERP Table of Content Table of Content .............................................................................................................................................. 3 List of Figures .................................................................................................................................................. 6 List of Tables .................................................................................................................................................... 7 List of Code Listings ..................................................................................................................................... 11 Provided Libraries .................................................................................................................. 12 I.1 Role Class Libraries ............................................................................................................................ 12 I.2 Interface Class Libraries ..................................................................................................................... 12 Referenced Libraries ............................................................................................................. -
The Digital Journey of the Modern Machine Shop Reporting Findings from the Nc Machining Study the Digital Journey of the Modern Machine Shop 2
THE DIGITAL JOURNEY OF THE MODERN MACHINE SHOP REPORTING FINDINGS FROM THE NC MACHINING STUDY THE DIGITAL JOURNEY OF THE MODERN MACHINE SHOP 2 INTRODUCTION Running a machine shop in today’s economic environment is no easy task. The margins are razor thin. Competition for a job might be located across town or across the ocean. Customers demand top quality yet require delivery on incredibly short schedules. The opportunities are there, but it takes highly skilled organizations to profit from them. It is in this context that Lifecycle Insights conducted our 2017 NC Machining Research Study. Findings indicated that the dominant driver for any attempts to improve operations is Time-to-Delivery. However, a myriad of technical challenges undermines those efforts, ranging from high friction in the process of working with models, debilitating difficulty in creating toolpaths, unreliable verification of G-code, and low reuse levels of machining knowledge. Fortunately, many of these challenges can be addressed with the digital journey of the modern machine shop. The technologies that enable this digital journey allow machinists to seamlessly prepare and manipulate models from any CAD application, develop high quality toolpaths in an automated fashion, simulate the execution of the resulting G-code, and standardize NC knowledge for reuse across the entire process. The purpose of this eBook is to dive deeper into these issues. First, this publication formally publishes and contextualizes the NC Machining study findings. Next, it introduces an ecosystem of technologies that address the needs of modern machine shops. Last, it offers recommendations for next steps. There are many challenges in running a machine shop. -
Electroplating Benchmarking SHOPS American Metal Coatings 2019 Leads North American Shops
PFonline.com Electroplating Benchmarking SHOPS American Metal Coatings 2019 Leads North American Shops 2019 Benchmarking Results TOP SHOPS for Plating – 16 Owner finds ‘traction’ for POWDER optimizing operations – 22 Coating lines rebuild after LIQUID EF-3 Tornado – 26 Increasing bath life of PLATING trivalent passivates – 30 A property of Gardner Business Media APRIL 2019 / VOLUME 83 / NO. 7 3s Selective Separation System Sometimes it’s what lies beneath the surface that makes you change course No formation of cyanide Reduction in For use with PERFORMA proprietary additive Alkaline Zinc Nickel consumption Systems Minimal sludge High efficiency maintained formation. in perpetuity No shoveling required Significant increase in production throughput Elimination of expensive auxillary carbonate removal equipment Eliminates bleed and feed operation. Dramatic reduction in solution growth Effective removal of nickel and zinc from rinses with OMEGA MP 5152 Less chilling required Visit www.coventya.com for details or scan the code Reduced energy use below for more information. SCR Units Up to 100,000 amps Air, Water and Oil-cooled Standard and custom designs Suited for aggressive environments Optional reversing and ripple correction Switchmode Power Supplies Up to 30,000 Amps Bench-top, Wall-mount, Free-standing and multiple output configurations Air or Water-cooled Expandable, modular designs that change with your process DC, Pulse or Pulse Reverse Controls Versatile local and remote control solutions that can be added to each rectifier model Create and store custom profiles On-screen diagnostics Remote interface via Ethernet/IP, Modbus, Profibus, Analog I/O, etc. PC software to interface with the rectifiers for control, monitoring and data collection to meet quality control standards P: 239.275.5877 AMERICANPLATINGPOWER.COM PRODUCTS FINISHING CONTENTS EMPHASIS TOP SHOPS VOLUME 83 / NO. -
Machine Design
INDUSTRY PERSPECTIVE / 001 Machine Design — Machine design involves the development, design, and production of machines. It is key to ensure machines run efficiently, produce consistent results and can be easily repaired as components wear out or break. Industry Perspective Series: Machine Design > Machine Design Solutions 02 Challenge For simplicity, speed, and most importantly cost, machine designers strive to use as many off-the-shelf components as possible. Invariably, though, some parts must be custom-made - and therein lies most of the challenge. Due to the relatively small volumes needed, custom parts are typically CNC machined, a process that can be expensive and time-consuming, due to limited machine shop resources and nonrecurring engineering (NRE) time and costs. This NRE usually consists of the necessity to create custom workholding fixtures for machining of complex parts, even if parts are being produced in low volume, leading to significant waste and added part cost. Machine design firms may also face challenges related to equipment that is already operating - as parts wear out or break, firms need to be able to quickly manufacture replacement parts to get the machine back up and running while keeping per-part costs low and avoid warehousing costs. Solution Additive manufacturing dramatically simplifies the process of creating custom parts. Because it doesn’t rely on tooling or fixturing, 3D printing often allows users to print parts faster and at lower costs than machining. The technology also opens the door to parts with greater geometric complexity, these complex parts may be better suited for the application but generally cannot be justified with traditional manufacturing methods. -
Implementation of Lean Six Sigma Methodology on a Wine Bottling Line
MASTER THESIS The implementation of Lean Six Sigma methodology in the wine sector: an analysis of a wine bottling line in Trentino Master Thesis in Industrial Engineering by Sergio De Gracia Directed by Prof. Roberta Raffaelli Academic Year 2013-2014 Table of Contents Abstract ......................................................................................................................................... 9 Acknowledgements ..................................................................................................................... 10 Introduction ................................................................................................................................ 11 Lean Manufacturing .................................................................................................................... 14 1. Lean Manufacturing ................................................................................................................ 14 1.1. TPS in Lean Manufacturing.......................................................................................... 15 1.2. Types of waste and value added ................................................................................. 16 1.2.1. Value Stream Mapping (VSM) ................................................................................... 18 1.3. Continual Improvement process and KAIZEN ............................................................. 19 1.4. Lean Thinking ............................................................................................................. -
Management Science
MANAGEMENT SCIENCE CSE DEPARTMENT 1 JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD Iv Year B.Tech. CSE- II Sem MANAGEMENT SCIENCE Objectives: This course is intended to familiarise the students with the framework for the managers and leaders availbale for understanding and making decisions realting to issues related organiational structure, production operations, marketing, Human resource Management, product management and strategy. UNIT - I: Introduction to Management and Organisation: Concepts of Management and organization- nature, importance and Functions of Management, Systems Approach to Management - Taylor's Scientific Management Theory- Fayal's Principles of Management- Maslow's theory of Hierarchy of Human Needs- Douglas McGregor's Theory X and Theory Y - Hertzberg Two Factor Theory of Motivation - Leadership Styles, Social responsibilities of Management, Designing Organisational Structures: Basic concepts related to Organisation - Departmentation and Decentralisation, Types and Evaluation of mechanistic and organic structures of organisation and suitability. UNIT - II: Operations and Marketing Management: Principles and Types of Plant Layout-Methods of Production(Job, batch and Mass Production), Work Study - Basic procedure involved in Method Study and Work Measurement - Business Process Reengineering(BPR) - Statistical Quality Control: control charts for Variables and Attributes (simple Problems) and Acceptance Sampling, TQM, Six Sigma, Deming's contribution to quality, Objectives of Inventory control, EOQ, ABC Analysis, -
Manufacturing Execution Systems (MES)
Manufacturing Execution Systems (MES) Industry specific Requirements and Solutions ZVEI - German Electrical and Electronic Manufactures‘ Association Automation Division Lyoner Strasse 9 60528 Frankfurt am Main Germany Phone: + 49 (0)69 6302-292 Fax: + 49 (0)69 6302-319 E-mail: [email protected] www.zvei.org ISBN: 978-3-939265-23-8 CONTENTS Introduction and objectives IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII5 1. Market requirements and reasons for using MES IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII6 2. MES and normative standards (VDI 5600 / IEC 62264) IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII8 3. Classification of the process model according to IEC 62264 IIIIIIIIIIIIIIIIIIIIIIIIII 12 3.1 Resource Management IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII13 3.2 Definition Management IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII14 3.3 Detailed Scheduling IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII14 3.4 Dispatching IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII15 3.5 Execution Management IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII15 3.6 Data Collection IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII16 IMPRINT 3.7 Tracking IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII16 3.8 Analysis IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII17 Manufacturing Execution Systems (MES) 4. Typical MES modules and related terms IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII18 -
The Recent Trends in Production: 1
The Recent Trends in Production: 1. Flexibility: The ability to adapt quickly to changes in volumes of demand, in the product mix demanded, and in product design or delivery schedules, has become a major competitive strategy and a competitive advantage to the firms. This is sometimes called as agile (move quickly) manufacturing. 2. Total Quality Management: TQM approach has been adopted by many firms to achieve customer satisfaction by a never ending quest for improving the quality of goods and services. 3. Time Reduction: Reduction of manufacturing cycle time and speed to marker for a new product provide a competitive edge to a firm over other firms. When companies can provide products at the same price and quality, quicker delivery (short lead time) provide one firm competitive edge over the other. 4. Worker Involvement: The recent trend is to assign responsibility for decision making and problem solving to the lower levels in the organization. This is known as employee involvement and empowerment. Examples of employee’s empowerment are quality circle and use of work teams or quality improvement teams. 5. Business Process Re-engineering: BPR involves drastic measures or break-through improvements to improve the performance of a firm. It involves the concept of clean- state approach or starting from a scratch in redesigning in business processes. 6. Global Market Place: Globalization of business has compelled many manufacturing firms to give operations in many countries where they have certain economic advantage. This has resulted in a steep increase in the level of competition among manufacturing firms throughout the world. 7. -
Machine Shop Safety for Academic Departments Guideline Revision Date: 08/11/21 Applies To: All University Academic Departments
Machine Shop Safety for Academic Departments Guideline Revision Date: 08/11/21 Applies To: All University academic departments. Employees and non-employees who actively work in machine shops, laboratories and other University facilities with machining tools and machining equipment are covered under this guideline. Table of Contents Machine Shop Safety for Academic Departments Guideline Statement .........................................2 Related Machine Shop Safety for Academic Departments Guideline Documents .......................... 2 Additional Resources ................................................................................................................................ 2 Unit-Specific Machine Shop Safety Policy Development ................................................................2 Potential Hazards .........................................................................................................................2 Training Requirements .................................................................................................................3 Developing a Basic Machine Shop Safety Training Program ........................................................... 3 Proficiency Testing ................................................................................................................................... 4 Recordkeeping ................................................................................................................................. 4 Re-Training ...................................................................................................................................... -
JANNE HARJU PLANT INFORMATION MODELS for OPC UA: CASE COPPER REFINERY Master of Science Thesis
JANNE HARJU PLANT INFORMATION MODELS FOR OPC UA: CASE COPPER REFINERY Master of Science Thesis Examiner: Hannu Koivisto Examiner and topic approved in the Council meeting of Depart of Auto- mation Science and Engineering on 5.11.2014 i i TIIVISTELMÄ TAMPEREEN TEKNILLINEN YLIOPISTO Automaatiotekniikan koulutusohjelma HARJU, JANNE: PLANT INFORMATION MODELS FOR OPC UA: CASE COPPER REFINERY Diplomityö, 59 sivua Tammikuu 2015 Pääaine: Automaatio- ja informaatioverkot Tarkastaja: Professori Hannu Koivisto Avainsanat: OPC, UA, ISA-95, CAEX, mallinnus, ADI Isojen laitosten informaation rakenne on usein hankala ihmisen hahmottaa silloin, kun kaikki tieto on yhdessä listassa. Jotta laitoksen informaatiosta saadaan parempi koko- naiskuva, tarvitsee se mallintaa jollakin tekniikalla. Kun laitoksen mallintaa hierarkki- sesti, pystyy sen rakenteen hahmottamaan helpommin. Lisäksi, kun malliin saadaan tuotua mittaussignaaleja ja muuta mittauksiin ja muihin arvoihin liittyvää dataa, saadaan se tehokkaaseen käyttöön. Nykyään paljon käytetty klassinen OPC tuo datan käytettäväksi ylemmille lai- toksen tasoille. OPC tuo mittaukset pelkkänä listana, eikä se tuo mittausten välille mi- tään metatietoa. Tässä työssä on tarkoitus tutkia, miten mallintaa esimerkki laitokset käyttäen klassisen OPC:n seuraajaa OPC UA:ta. Työn tavoitteena on tutkia eri OPC UA:n mallinnustyökaluja, menetelmiä ja itse mallinnusta. Työssä tutustutaan OPC UA:n lisäksi ISA-95:n ja sen OPC UA- malliin ja miten tätä mallia pystyy käyttämään oikean laitoksen mallinnuksessa hyödyksi. ISA-95 lisäksi tutustutaan toiseen malliin nimeltä CAEX. CAEX on alun perin suunniteltu suunnitteludatan tallentamiseen stan- dardoidulla tavalla. CAEX:sta on olemassa myös tutkimuksia OPC UA:n kanssa käytet- täväksi ja tässä työssä tutustutaan, onko mallinnettavien tehtaiden kanssa mahdollista käyttää CAEX:ia hyödyksi. Virallista OPC UA CAEX- mallia ei ole vielä tosin julkais- tu.