Process Planning and Technology Decisions Projects Batch Production
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ISA-88 Snapshot ■ ISA-95 Snapshot ■ IIPS Lifecycle ■ CCM Modelling Framework ■ ISA-88/95 Based Models and Objects ■ ISA-88/95 in Production Lifecycles ■ Methodology
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Attribution: Jean Vieille Work: ISA8895 Implementation Section: Overview Chapter: Modelling Language: English Version: V3 - 05/2011 Jean Vieille www.syntropicfactory.info [email protected] Research community www.controlchainmanagement.org Consulting group www.controlchaingroup.com Agenda ■ ISA-88 snapshot ■ ISA-95 snapshot ■ IIPS Lifecycle ■ CCM modelling framework ■ ISA-88/95 based Models and Objects ■ ISA-88/95 in Production Lifecycles ■ Methodology 1_12_ISA8895_Overview_Introduction_Modeling 2 Automation challenge Ideal Automation Flexibility ISA-88 « manual Control » Capability Darin Flemming Lou Pillai « Classical » Automation Complexity 1_12_ISA8895_Overview_Introduction_Modeling 3 ISA-88 standard ■ US and International “Batch Control” standard ■ The ISA88 committee develops the US ANSI standard ■ The IEC65A WG11 develops the IEC international standard US standard INTL Sub Title Standard ANSI/ISA-88.00.01: IEC 61512-1: Part 1: Models and Terminology” 2010 1997 ANSI/ISA-88.00.02: IEC 61512-2: Part 2: Data structures and guidelines for 2001 2001 languages ANSI/ISA-88.00.03: IEC 61512-3: Part 3: General and Site Recipe - Models and 2003 2008 Representation ANSI/ISA-88.00.04: IEC 61512-4: Part 4: Batch Production Records 2006 2009 ISA Draft88.00.05 - Part 5: Implementation Models & Terminology for Modular Equipment Control 1_12_ISA8895_Overview_Introduction_Modeling 4 ISA-88 snapshot ■ Object Design of automation applications Ø Reuse, -
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 Study of the Framework for TCM Production Management System
2nd International Conference on Information, Electronics and Computer (ICIEAC 2014) The Study of The Framework For TCM Production Management System Herui Wang Chaoying Wu Software Engineering Institute Software Engineering Institute BeiHang University BeiHang University Beijing, China Beijing, China [email protected] [email protected] Abstract—In combination with a traditional Chinese medicine The literature [2] designed a MES, which the main line is pharmaceutical factory’s current production situation, in view planning and scheduling and the core is cost control. of the various problems such as the poor quality, the low These schemes focused on the integration of MES and its productivity faced in the process of production. This paper upper system, and the design of the MES system module. solves the poor quality problems such as real-time data But they lack of integration of MES and the underlying acquisition and tracking, storage and data transaction equipment design. CTM production process will monitor and processing problems and through the SCADA system, solves manage a variety of production equipment. So how to do a the low productivity problems caused by production good job in the management of the underlying device and the scheduling chaos through the MES system, After comparing communication of MES with the equipment is very various data Interaction technology, using the OPC technology important. to integrate the SCADA system and the MES system. Combining the advantages of SCADA system and MES system After the analysis of a variety of information and to achieve high productivity and quality production of communication technologys, equipment control system, this traditional Chinese medicine. -
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 ............................................................................................................. -
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 -
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. -
INDUSTRY4.0 TECHNOLOGY BATTLES in MANUFACTURING OPERATIONS MANAGEMENT Non-Technical Dominance Factors for Iiot & MES
INDUSTRY4.0 TECHNOLOGY BATTLES IN MANUFACTURING OPERATIONS MANAGEMENT non-technical dominance factors for IIoT & MES Master thesis submitted to Delft University of Technology in partial fulfilment of the requirements for the degree of MASTER OF SCIENCE in Management of Technology Faculty of Technology, Policy and Management by ing. Aksel de Vries #1293087 To be defended in public on 09 February 2021. Graduation committee: Chair & First Supervisor: Prof.dr.ir. M.F.W.H.A. Janssen, ICT Second Supervisor: Dr. G. (Geerten) van de Kaa, ET&I Equinoxia Industrial Automation Impressum The cover photo shows the Djoser step pyramid. It was once high-tech and replaced old-school pyramid technology; the ruin in the front. The analogy is to the once high-tech Automation Pyramid: Figure 1: Automation Pyramid as advocated by MESA.org and ISA.org since 1986 A.D. About the author Aksel de Vries (1973) is a Chemical Process Engineer and has been work- ing in the field of Manufacturing Operations Management since 1998. At AspenTech Europe, Aksel delivered training and consultancy during the transition from Computer Integrated Manufacturing (CIM/21, Batch/21, SetCIM, etc.) to Industry4.0 on corporate vertical and horizontal inte- gration, fully leveraging ISA-88 and ISA-95. Aksel works as independent consultant www.equinoxia.eu since 2006 mainly in Biotech Pharma4.0 for System Integrators like Zenith Tech- nologies (now Cognizant) and blue-chip corporations such as DSM, GSK, BioNTech, Kite Pharma / Gilead Sciences, Amgen, Lonza, etc. Copyright © 2021 Equinoxia Industrial Automation, The Netherlands Aksel de Vries EXECUTIVE SUMMARY In 2011, the fourth industrial revolution was announced at the German Hannover Messe. -
Total Quality Management Course Code: POM-324 Author: Dr
Subject: Total Quality Management Course Code: POM-324 Author: Dr. Vijender Pal Saini Lesson No.: 1 Vetter: Dr. Sanjay Tiwari Concepts of Quality, Total Quality and Total Quality Management Structure 1.0 Objectives 1.1 Introduction 1.2 Concept of Quality 1.3 Dimensions of Quality 1.4 Application / Usage of Quality for General Public / Consumers 1.5 Application of Quality for Producers or Manufacturers 1.6 Factors affecting Quality 1.7 Quality Management 1.8 Total Quality Management 1.9 Characteristics / Nature of TQM 1.10 The TQM Practices Followed by Multinational Companies 1.11 Summary 1.12 Keywords 1.13 Self Assessment Questions 1.14 References / Suggested Readings 1 1.0 Objectives After going through this lesson, you will be able to: Understand the concept of Quality in day-to-day life and business. Differentiate between Quality and Quality Management Elaborate the concept of Total Quality Management 1.1 Introduction Quality is a buzz word in our lives. When the customer is in market, he or she is knowingly or unknowingly very cautious about the quality of product or service. Imagine the last buying of any product or service, e.g., mobile purchased last time. You must have enquired about various features like RAM, Operating System, Processor, Size, Body Colour, Cover, etc. If any of the features is not available, you might have suddenly changed the brand or have decided not to purchase it. Remember, how our mothers buy fruits, vegetables or grocery items. They are buying fresh and look-wise firm fruits, vegetable and groceries. Simultaneously, they are very conscious about the price of the fruits, vegetable and groceries. -
IEC 62264-4 ® Edition 1.0 2015-12 INTERNATIONAL STANDARD NORME
This preview is downloaded from www.sis.se. Buy the entire standard via https://www.sis.se/std-8018009 IEC 62264-4 ® Edition 1.0 2015-12 INTERNATIONAL STANDARD NORME INTERNATIONALE colour inside Enterprise-control system integration – Part 4: Object model attributes for manufacturing operations management integration Intégration des systèmes entreprise-contrôle – Partie 4: Attributs des modèles d'objets pour l'intégration de la gestion des opérations de fabrication ) fr - en ( 12 - 5 :201 4 - 62264 IEC Copyright © IEC, 2015, Geneva, Switzerland. All rights reserved. Sold by SIS under license from IEC and SEK. No part of this document may be copied, reproduced or distributed in any form without the prior written consent of the IEC. This preview is downloaded from www.sis.se. Buy the entire standard via https://www.sis.se/std-8018009 THIS PUBLICATION IS COPYRIGHT PROTECTED Copyright © 2015 IEC, Geneva, Switzerland All rights reserved. Unless otherwise specified, no part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from either IEC or IEC's member National Committee in the country of the requester. If you have any questions about IEC copyright or have an enquiry about obtaining additional rights to this publication, please contact the address below or your local IEC member National Committee for further information. Droits de reproduction réservés. Sauf indication contraire, aucune partie de cette publication ne peut être reproduite ni utilisée sous quelque forme que ce soit et par aucun procédé, électronique ou mécanique, y compris la photocopie et les microfilms, sans l'accord écrit de l'IEC ou du Comité national de l'IEC du pays du demandeur. -
Kpis As the Interface Between Scheduling and Control
Preprint, 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems June 6-8, 2016. NTNU, Trondheim, Norway KPIs as the interface between scheduling and control Margret Bauer1, Matthieu Lucke2,3, Charlotta Johnsson3, Iiro Harjunkoski2, Jan C. Schlake2 1University of the Witwatersrand, Johannesburg 2050, South Africa (email: [email protected]) 2ABB Corporate Research, Wallstadter Str. 59, 68526 Ladenburg, Germany (email:[email protected]) 3Department of Automatic Control, Lund University, 22100 Lund, Sweden (email [email protected]) Abstract: The integration of scheduling and control has been discussed in the past. While constructing an integrated plant model that may still seem out of reach, scheduling and control systems are increasingly more intertwined. We argue that they are in fact already integrated and give the example of two key performance indicators (KPIs) that are defined in the recent international standard ISO 22400. The focus of this study is on KPIs that consider both planned times and actual times. An amino acid production plant is used in the study, and the production is described from both the scheduling and the control perspective. To illustrate the integration, a schedule is computed containing the planned production times. Resulting measurements from the control system are analyzed for their actual production times using a proposed procedure that detects the start and end time of batches. Using KPIs as the interface between scheduling and control can be used as a strategy for maximizing the plant performance. The study focuses on the process industry. Keywords: Integration between scheduling and control, key performance indicator, distributed control system, planning and scheduling, batch process. -
8.4 Batch Processes and Their Automation
8.4 Batch Processes and Their Automation A. GHOSH (1995, 2005) INTRODUCTION sive objectives, and many possible solutions. Most real-life problems tend to be complex. The solution of a complex Batch automation and batch control are discussed in this problem involves its progressive decomposition into simpler section from both a process characteristics and a modeling functional modules and their proper integration. point of view. This discussion covers the various control This section deals with batch control problems and their functions, distributed control systems (DCS) capabilities, and solutions in general. Specific details on batch reactor control reliability aspects. Other sections in this chapter also deal can be found in Section 8.8. with the subject of batch control. Section 8.3 describes ter- minology, and Section 8.8 is devoted to the control of batch reactors. BATCH CONTROL STANDARDS In a continuous process, such as the distillation of crude oil or the manufacture of bulk chemicals and fertilizers, the The ANSI/ISA-88 (IEC 61512) batch control standard1–3 is product is manufactured on a continuous basis. In batch pro- providing significant benefits to users and suppliers of batch cesses, used in the food, pharmaceutical, and fine chemical control systems worldwide. The standard is in three published industries, products are manufactured in batches. Batch pro- parts, while the fourth part is under development (Table 8.4a). cesses are sequential, where the control functions (called phases), such as charging, mixing, heating, cooling, and test- Part 1: Models and Terminology ing, are performed in an ordered fashion. Each phase may require many process steps, such as the opening and closing Part 1 defines standard terminology and a number of models of valves, starting and stopping of pumps, and setting and for batch control.