Article

Data Modeling for Engineering Change Management Processes in Engineering Industries

Authors:
Article

Data Modeling for Engineering Change Management Processes in Engineering Industries

If you want to read the PDF, try requesting it from the authors.

Abstract

Engineering Industries (EI), Product Lifecycle Management (PLM) and Engineering Change Management project with the objective of reengineering several business processes and enabling the processes within PLM applications and DMS applications. The Project covers Engineering Industries (EI) such as Energy Devices , Telecom devices, automotive global design centers and manufacturing facilities. The design approach will be covering the Engineering industry’s single PLM system platform for entire Organization for design change. Fundamental project management discipline and tools will be used to control, execute, and monitor the EI implementation. All Scope Change Requests will require cost justification and approval of the EI Steering Committee. A monthly Risk Management Report will summarize the risks, identify the mitigating measures necessary and identify respective responsibilities for implementing them.

No full-text available

Request Full-text Paper PDF

To read the full-text of this research,
you can request a copy directly from the author.

... Backing up a database copies everything in the database, Backing up a database does not back up full-text PLM Data index 25,26,27,Error! Reference source not found., 29,30,31,32,34,35,36,37 data in full-text catalogs. However, if full-text indexes have been defined for tables, the metadata for the full-text index definitions are stored in the PLM system tables in the database containing the full-text PLM data indexes 25,26,27,Error! ...
... However, if full-text indexes have been defined for tables, the metadata for the full-text index definitions are stored in the PLM system tables in the database containing the full-text PLM data indexes 25,26,27,Error! Reference source not found., 29,30,31,32,34,35,36,37 . Therefore, the metadata for the full-text indexes are backed up when a database backup is created. ...
... After a database backup is restored, the full-text PLM data index 25,26,27,Error! Reference source not found., 29,30,31,32,34,35,36,37 catalogs can be re-created and repopulated. ...
Article
A system, method, and program for controlling an engineering process are described. PLM data are tightly integrated with many database tables such as ECM, Workflow, Material and BOM Auditing is a DBMS facility that enables DBAs to track the use of database resources and privileges. PLM Data masking is nothing but blurring specific records within the database. All database changes are logged by the DBMS to a log file commonly called the transaction log or database log. PLM System unavailability and recovery notification process described below explains how the PLM System Custodian and PLM System Owner approve a disaster declaration and how key contact and users will be notified. Backing up a PLM application database makes a copy of a database, which can be used to restore the database if it is lost. Restoring a database backup returns the database to the same state it was in when the backup was created. Auditing
Article
PDM framework can be used by individual organizations to assess their current PDM maturity and alignment and use that as a starting point for defining their PDM Roadmap for the future. Since we are at the starting point of a relative new research area, there are many areas for future research. First of all, the low maturity scores on people & culture stress the often-advocated importance of the ‘human factor’ in technical-originated concepts like PDM. It confirms that PDM also needs to be culturally embedded as an enterprise-wide system and concept. This ‘cultural fit’ between IT and organization is subject of much study by adaptive theory of structure and is very important in (IT) project and change management. In our opinion, further study on organizational change and cultural issues with PDM would be very fruitful, both theoretically and practically.
Article
PLM CAD interface allows the engineering user community to easily transfer product and process knowledge between CAD application and PLM, so that this information can be leveraged by both engineering and manufacturing. PLM DMS CAD manages engineering documents such as CAD, manufacturing documents, and anything else pertaining to a product. A DMS system acts as a central information hub for everyone associated with a given product, so a well-managed DMS system can streamline product development and facilitate easier communication among those working with a product. PLM process is optimally supported by the integration of CAD with CAD applications so that designers are guided not only through document management but also through the parts and BOM management functions of PLM Part Management.
Article
Although PLM PDM (Product Data Management) application Knowledge Management (KM) intersects with records management, document management (DMS), IT, PLM Engineering Data Management, Engineering Change Management (ECM) and digital asset management along with other disciplines, its emphasis is on connecting people with knowledge which, in many cases, includes both digital assets and technology. But KM extends far further: KM requires organizations to think about knowledge in more abstract forms, not only knowledge contained within documents, spreadsheets, reports, publications, or other types of digital assets.
Article
PLM Data modeling is a method that we can use for defining and analyzing which data is required within the scope of engineering business process management in an organization. Data models define not only data elements, but also their structure and relationships such as ECM, DMS, BOM and Material. Data modeling techniques aim at modeling data in a standardized, consistent, and predictable manner so that it can be handled as a resource. Defining and observing PLM data modeling standards is strongly recommended for all projects that require a standardized approach for defining and analyzing data within an organization. PLM Data modeling methods can be used for such as managing data as a resource, integrating information systems, designing databases. Within the scope of data modeling we also have the possibility of detailing business requirements of a database. Therefore, data modeling is sometimes referred to as database modeling because a data model is eventually created in a database.
Article
Engineering Industries Product Lifecycle Management (PLM) applications integrate with manufacturing applications for data transfer, data collaboration and data enrichment. Manufacturing and Engineering PLM applications both as a system of record within the larger enterprise application ecosystem as well as within product development as integrations with manufacturing and other applications provide greater downstream visibility. Additionally, as more engineering manufacturers attempt to gain a fuller vision of the performance of the enterprise through integration, it is important that they begin with these two backbone systems.
Article
PLM System Administrator is responsible to develop a process and document that process to manage document system. This research proposal includes following PLM System Administrator processes such as procedures, policies, system configuration, document storage, system unavailability, recovery and verification, security setup. PLM System administrator must ensure all routine processes complete on schedule including the DMS system usage, maintain battery formations, routing of documents for storage, security, manage system architecture and file restoration. Process and documentation provides information to customers or team so they need to bother System Administrator less often and so saves them time. It helps PLM SAs repeat processes without any issues and simplify processes which easily be delegated to someone or team.
Article
This paper shows that information systems should be included in PDM framework to localize environmental, economic and social, related to specific locations when designing green manufacturing systems.
Conference Paper
Engineering Industries that apply PLM concepts and systems can be found in different industries. Examples are the automotive and transport sector, aerospace and defense, process industry, life sciences and heavy machinery. These industries have unique characteristics and therefore different applications of PLM. In addition, the company’s supply chain position strongly determines the perception of PLM. Despite these differences, companies invest in PLM for clear common business goals.
Article
Single source of truth and single system of record  Ability to use engineering change to do cross functional review and approvals for parts, drawings & documents release  Establish global, standard process for Change Management that provides flexibility based on product data and complexity of change  Product Master Data Management Abstract Product Lifecycle Management (PLM) Engineering Change Management (ECM) is a process or system used to manage the data and design process associated with the life of a product from its conception and envisioning through its manufacture, to its retirement and disposal. PLM ECM manages data, people, business processes, manufacturing processes, and anything else pertaining to a product. A PLM ECM system acts as a central information hub for everyone associated with a given product, so a well-managed PLM ECM system can streamline product development and facilitate easier communication among those working on/with a product. The design approach will be covering the Engineering industry's single PLM system platform for entire Organization for design change. ECM supports the integrated data management for energy storage devices from product innovation to launch. All the companies such as energy storage sector implement ECM systems to integrate obtain a competitive advantage and high productivity of the employees gives to the company competitive advantage and increases the human capital. To achieve all of this, energy storage and engineering industries sector have realized the necessity to implement PLM ECM system along with workflow to achieve integration of business activities.
Article
Engineering changes in engineering industries and offers quite specific solutions for complex products. This paper establishes a general model of engineering change management and applies it to distributed manufacturing and product development groups. Distributed environment requires specific methods, organization, communication skills and applications. The reference ECM model helps engineers recognize the important problems and improve the process.
Article
PLM is a relatively new concept that is so far hardly addressed in scientific literature. Software vendors, business analysts and software evaluators dominate the publications about PLM. With this paper, we believe that we have contributed to the theoretical and empirical analysis of PLM and, based on this, provided a practical framework for organizations that are deploying PLM or planning to deploy it in the near future.
Article
This research purpose is to link PLM to have a global and systematic approach to improve engineering industries sustainable performance and potential improvement of product data processes. It argues on the necessity to take into account local information concerning where the business takes place. Then, from an information system point of view, it argues the necessity to integrate geographical information in the definition of products and processes, and in the whole PLM. It will lead to an integrated data model including geographic and industrial system data.
Article
PLM engineering change requests (ECRs), describes the role it plays in product design and manufacturing. A PLM engineering change requests (ECR) is a process that outlines the proposed change, lists the product or part(s) that would be affected and requests review and approval from the individuals who would be impacted or charged with implementing the change. ECRs are used to make modifications to components, assemblies, associated documentation and other types of product information. Using an ECR often reduces the amount of work required to release new revisions, especially if you plan to release multiple objects at once.
Conference Paper
Customization and Personalization becomes a common theme in collaborating with customers in New Product Development (NPD), where product designers' responsibility and capability shifts from designing a product to designing components which are then customized by the customer, the ultimate designer. Competition is based on a new approach to value creation, where consumers or customer want to interact with whole communities of professional service provider in industry providers and other consumers, in order to co-create value. Efficient NPD is facilitated through of adoption Product Lifecycle Management (PLM) strategy and contemporary software solutions. PLM is one of the best effective approaches for better, fast, smart and cheaper product development and management.
Article
Mass Customization strategies include different information systems to support them, and the collection of these information or data of systems the entire supply chain plays an essential involvement in the successful implementation of Mass Customization during NPD. PDM systems give these essential functionalities along with all users. They have the ability to support Mass Customization, by catching Voice of the Customer, transforms from integrated product requirements and efficiently managing those requirements in industry, by combining the advantages of configuration management. Supported by PDM solutions, product configurators are useful to translate customer needs to product designs in order to give a final solution based on product realization knowledge.
Article
PDM framework can be used by individual organizations to assess their current PDM maturity and alignment and use that as a starting point for defining their PDM Roadmap for the future. Since we are at the starting point of a relative new research area, there are many areas for future research. First of all, the low maturity scores on people & culture stress the often-advocated importance of the ‘human factor’ in technical-originated concepts like PDM. It confirms that PDM also needs to be culturally embedded as an enterprise-wide system and concept. This ‘cultural fit’ between IT and organization is subject of much study by adaptive theory of structure and is very important in (IT) project and change management. In our opinion, further study on organizational change and cultural issues with PDM would be very fruitful, both theoretically and practically.
Article
PDM integrates and manage processes, applications, and information that define products across multiple systems and media. Product Lifecycle Management (PDM) helps you manage complex, cross-functional processes, coordinating the efforts of distributed teams to consistently and efficiently develop the best possible products. PDM software system manages all aspects of the product development lifecycle, from concept through service and retirement. By optimizing product development processes and using a single, secure source of information, you can develop products that are competitive, cost-effective, and high quality.
Conference Paper
Full-text available
This paper introduces a concept applied for a new PLM-supported process in steam turbine service business. The concept has been developed and instantiated in an industrial case: The paper starts with an analysis of engineering processes and the IT landscape in a globally acting company offering MRO (Maintenance, Repair and Overhaul) services for steam turbines. Illustrations show how digital product and service data is generated, edited, enriched, and managed throughout the lifecycle of a steam turbine. In order to enhance the already PLM-supported service process the concept for the new PLM process was defined within the company. The concept implements one single PDM system with interfaces to one dedicated ERP system. Illustrations of the new PLM process show how to manage product and service documentation generated throughout the steam turbine lifecycle. The paper provides first-hand experiences made in a PLM migration project, which implemented the new PLM process.
Conference Paper
Full-text available
In the last decade, the major CAE software vendor understood how the increasing use of simulation needs systematic methods to manage the data generated in the process. Without reinventing the wheel these companies reused the concept and architecture typical of Product Data Management system (PDM) and tailor made the data model to support CAE application. Moreover, many companies desire to leverage their existing PDM systems as the primary repositories of CAE data. We first analyze the adequacy between the classical capabilities offered by the commercial PDM systems compared to the needs of simulation data and process management, expressed in the literature and by our industrial partners. Then, we defined a suitable data model (structure and associated metadata) in order to organize and store CAE data in traditional PDM. Finally we formalized the PDM business logic that will support that data model and the internal working procedure of the company. These models are the inputs for a pilot implementation done with a commercial PDM, PTC Windchill. At the moment the use of PDM is not part of the CAE analyst mindset. For this reason we develop a simple client that could help the analyst to organize his/her data according to the predefined data model, forcing him/her to provide the necessary metadata that describe the task that he/she is performing and finally translate all these information into a Windchill compliant XML, that can be easily uploaded to the PDM.
Conference Paper
A DMS system will enable an organization to integrate the business processes of a company and help organizations obtain a competitive advantage. Document Management System (DMS) is one of the proposed solutions for Engineering Manufacturing sector in order to face the global challenges. DMS system covers global design centers and manufacturing facilities. The design approach covering the Engineering Manufacturing sector Global Organization is based on a single PLM instance for the entire Engineering Manufacturing sector Global Organization.
Article
PLM System Administrator is responsible to develop a process and document that process to manage document system. This research proposal includes following PLM System Administrator processes such as procedures, policies, system configuration, document storage, system unavailability, recovery and verification, security setup. PLM System administrator must ensure all routine processes complete on schedule including the DMS system usage, maintain battery formations, routing of documents for storage, security, manage system architecture and file restoration. Process and documentation provides information to customers or team so they need to bother System Administrator less often and so saves them time. It helps PLM SAs repeat processes without any issues and simplify processes which easily be delegated to someone or team.
Article
Engineering Industries Product Lifecycle Management (PLM) applications integrate with manufacturing applications for data transfer, data collaboration and data enrichment. Manufacturing and Engineering PLM applications both as a system of record within the larger enterprise application ecosystem as well as within product development as integrations with manufacturing and other applications provide greater downstream visibility. Additionally, as more engineering manufacturers attempt to gain a fuller vision of the performance of the enterprise through integration, it is important that they begin with these two backbone systems.
Article
PLM Data modeling is a method that we can use for defining and analyzing which data is required within the scope of engineering business process management in an organization. Data models define not only data elements, but also their structure and relationships such as ECM, DMS, BOM and Material. Data modeling techniques aim at modeling data in a standardized, consistent, and predictable manner so that it can be handled as a resource. Defining and observing PLM data modeling standards is strongly recommended for all projects that require a standardized approach for defining and analyzing data within an organization. PLM Data modeling methods can be used for such as managing data as a resource, integrating information systems, designing databases. Within the scope of data modeling we also have the possibility of detailing business requirements of a database. Therefore, data modeling is sometimes referred to as database modeling because a data model is eventually created in a database.
Article
Although PLM PDM (Product Data Management) application Knowledge Management (KM) intersects with records management, document management (DMS), IT, PLM Engineering Data Management, Engineering Change Management (ECM) and digital asset management along with other disciplines, its emphasis is on connecting people with knowledge which, in many cases, includes both digital assets and technology. But KM extends far further: KM requires organizations to think about knowledge in more abstract forms, not only knowledge contained within documents, spreadsheets, reports, publications, or other types of digital assets.
Article
PLM CAD interface allows the engineering user community to easily transfer product and process knowledge between CAD application and PLM, so that this information can be leveraged by both engineering and manufacturing. PLM DMS CAD manages engineering documents such as CAD, manufacturing documents, and anything else pertaining to a product. A DMS system acts as a central information hub for everyone associated with a given product, so a well-managed DMS system can streamline product development and facilitate easier communication among those working with a product. PLM process is optimally supported by the integration of CAD with CAD applications so that designers are guided not only through document management but also through the parts and BOM management functions of PLM Part Management.
Article
Portfolio Management is the standardized, strategic planning and the monitoring of related groups of programs, projects and initiatives. Portfolio planning is part of a engineering industries business planning process. This planning can take place annually, biannually , quarterly or ad-hoc. After portfolio planning is completed, it provides the organizations management a tool to compare its actual performance against the planned values for the entire portfolio.
Article
A system, method, and program for controlling an engineering process are described. PLM data are tightly integrated with many database tables such as ECM, Workflow, Material and BOM Auditing is a DBMS facility that enables DBAs to track the use of database resources and privileges. PLM Data masking is nothing but blurring specific records within the database. All database changes are logged by the DBMS to a log file commonly called the transaction log or database log. PLM System unavailability and recovery notification process described below explains how the PLM System Custodian and PLM System Owner approve a disaster declaration and how key contact and users will be notified. Backing up a PLM application database makes a copy of a database, which can be used to restore the database if it is lost. Restoring a database backup returns the database to the same state it was in when the backup was created. Auditing
Conference Paper
Our goal was to create a support for better PLM development target identification. A method titled ”PIA – PLM Impact Analysis” was created in order to help recognizing the most value-adding potentials. The method is supported by a MS–Excel based tool. The method was built and developed in workshops interactively with researchers and representatives from companies. So far the PIA method and tool has been tested in two large industrial companies from heavy machinery segments. Results from testing the PIA tool are encouraging. The most remarkable benefits of the tool are achieved by improved communication and discussion between departments and functions, and the systematic way of gathering and analysing data. In the future work usability of the tool will be extended. The gathered data will be analysed and synthesized in order to build better generic future PLM models.
Conference Paper
New and continuous product development requires a systematic approach in organizations. Data capture and management reduces the risk of failure in new product introduction and development. Lack of information and communication among project members can lead to an overall poor result or huge losses in time and cost. This problem is more evident if no personal contact exists in the development time of project or product. A systematic information management approach facilitates knowledge transfer between previous engineers to the new ones who never meet. PLM offers a unique opportunity for individuals within the projects to manage and communicate the project data resulting a well organized collaboration with minimum confusion. In this paper different aspects of PLM implementation are studied and applied on a case study that is Formula Student project. Lessons learned and benefits of this work, applicable to small projects that are typical of SMEs are highlighted and discussed.
Article
The first edition of The Practice of System and Network Administration introduced a generation of system and network administrators to a modern IT methodology. Whether you use Linux, Unix, or Windows, this newly revised edition describes the essential practices previously handed down only from mentor to protégé. This wonderfully lucid, often funny cornucopia of information introduces beginners to advanced frameworks valuable for their entire career, yet is structured to help even the most advanced experts through difficult projects.The book's four major sections build your knowledge with the foundational elements of system administration. These sections guide you through better techniques for upgrades and change management, catalog best practices for IT services, and explore various management topics. Chapters are divided into The Basics and The Icing. When you get the Basics right it makes every other aspect of the job easier--such as automating the right things first. The Icing sections contain all the powerful things that can be done on top of the basics to wow customers and managers.Inside, you'll find advice on topics such as The key elements your networks and systems need in order to make all other services run better Building and running reliable, scalable services, including web, storage, email, printing, and remote access Creating and enforcing security policies Upgrading multiple hosts at one time without creating havoc Planning for and performing flawless scheduled maintenance windows Managing superior helpdesks and customer care Avoiding the "temporary fix" trap Building data centers that improve server uptime Designing networks for speed and reliability Web scaling and security issues Why building a backup system isn't about backups Monitoring what you have and predicting what you will need How technically oriented workers can maintain their job's technical focus (and avoid an unwanted management role) Technical management issues, including morale, organization building, coaching, and maintaining positive visibility Personal skill techniques, including secrets for getting more done each day, ethical dilemmas, managing your boss, and loving your job System administration salary negotiation It's no wonder the first edition received Usenix SAGE's 2005 Outstanding Achievement Award!This eagerly anticipated second edition updates this time-proven classic: Chapters reordered for easier navigation Thousands of updates and clarifications based on reader feedback Plus three entirely new chapters: Web Services, Data Storage, and Documentation
Book
This fourth edition of the book provides readers with a detailed explanation of PLM, enabling them to gain a full understanding and the know-how to implement PLM within their own business environment. This new and expanded edition has been fully updated to reflect the numerous technological and management advances made in PLM since the release of the third edition in 2014, including chapters on both the Internet of Things and Industry 4.0. The book describes the environment in which products are ideated, developed, manufactured, supported and retired before addressing the main components of PLM and PLM Initiatives. These include product-related business processes, product data, product data management (PDM) systems, other PLM applications, best practices, company objectives and organisation. Key activities in PLM Initiatives include Organisational Change Management (OCM) and Project Management. Lastly, it addresses the PLM Initiative, showing the typical steps and activities of a PLM project or initiative. Enhancing readers’ understanding of PLM, the book enables them to develop the skills needed to implement PLM successfully and achieve world-class product performance across the lifecycle. .
Green Tech How to Plan and Implement Sustainable IT Solutions
  • Lawrence Webber
  • Michael Wallace
LAWRENCE WEBBER AND MICHAEL WALLACE. Green Tech How to Plan and Implement Sustainable IT Solutions. Amacom books.
Why Document Management: A White Paper from
  • J Heckman
Heckman, J., 2008. Why Document Management: A White Paper from http://www.heckmanco.com/docs/DMWhitePaper.pdf
PLM) Document Management System (DMS). 2017. p. 04. https://www.amazon.com/Product-Lifecycle-Management-Document-System- ebook
  • Product Lifecycle Muthalagu
  • Management
Muthalagu, Product Lifecycle Management (PLM) Document Management System (DMS). 2017. p. 04. https://www.amazon.com/Product-Lifecycle-Management-Document-System- ebook/dp/B01MUBKEY2/ref=sr_1_1?ie=UTF8&qid=1484984740&sr=8- 1&keywords=ilayaraja+muthalagu
Gülden‎Şenaltun,‎Can‎Cangelir:‎Software‎Management‎in‎Product‎Structure:‎ http://link.springer.com/chapter
  • Ilayaraja Muthalagu
  • Plm Pdm Data
  • Security
Ilayaraja Muthalagu, PLM PDM Data Security 32. Gülden‎Şenaltun,‎Can‎Cangelir:‎Software‎Management‎in‎Product‎Structure:‎ http://link.springer.com/chapter/10.1007/978-3-642-35758-9_33 33. http://help.sap.com/saphelp_erp2004/helpdata/en/c1/1c31a243c711d1893e0000e8323c4f/frames et.htm
An integrated requirements elicitation approach for the development of data management systems
  • Frédéric Demoly
  • Dimitris Kiritsis
Frédéric Demoly*, Dimitris Kiritsis, An integrated requirements elicitation approach for the development of data management systems: http://www.ifip-wg51.org/
Product Lifecycle Management (PLM) Implementation for Energy Devices
  • Ilayaraja Muthalagu
Ilayaraja Muthalagu, Product Lifecycle Management (PLM) Implementation for Energy Devices
Green Tech How to Plan and Implement Sustainable IT Solutions
  • Lawrence Webber And Michael Wallace
LAWRENCE WEBBER AND MICHAEL WALLACE. Green Tech How to Plan and Implement Sustainable IT Solutions. Amacom books.
PLM Integration with other Systems
  • Ilayaraja Muthalagu
Ilayaraja Muthalagu, PLM Integration with other Systems
  • Juha-Pekka Simo-Pekka Leino
  • Juhamatti Anttila
  • Joonas Heikkilä
  • Kaj Aaltonen
  • Helin
Simo-Pekka Leino, Juha-Pekka Anttila, Juhamatti Heikkilä, Joonas Aaltonen, Kaj Helin: PLM Impact Analysis Model -PIA: http://link.springer.com/chapter/10.1007/978-3-642-35758-9_45
  • Cancangelir Güldenşenaltun
GüldenŞenaltun,CanCangelir:SoftwareManagementinProductStructure: http://link.springer.com/chapter/10.1007/978-3-642-35758-9_33
Ilayaraja Muthalagu. PLM Manufacturing Change Order and Data Enrichment Collaboration for Engineering Industries Manufacturing
  • Muthalagu
I Muthalagu. PLM Data Structure and Modeling Techniques for Engineering Applications. (2016). www.academia.edu 43. Ilayaraja Muthalagu. PLM Manufacturing Change Order and Data Enrichment Collaboration for Engineering Industries Manufacturing. 2016. https://papers.ssrn.com/abstract=2911479
PLM Manufacturing Change Order and Data Enrichment Collaboration for Engineering Industries Manufacturing
  • Ilayaraja Muthalagu
Ilayaraja Muthalagu. PLM Manufacturing Change Order and Data Enrichment Collaboration for Engineering Industries Manufacturing. 2016. www.academia.edu
PLM system supports engineering projects execution and monitoring
  • Ilayaraja Muthalagu
Ilayaraja Muthalagu. (2014). PLM system supports engineering projects execution and monitoring. P.04. www.academia.edu