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PLM-mätetal: Identifiera mätetal för att mäta effekten av en PLM-implementering
2012 (Swedish)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

If companies are to remain competitive they need to continue to reduce development time and cost while retaining good quality. Constant improvements and updates in products and functionality are also necessary to satisfy consumer demand. An industry trend is a greater reliance on advanced IT-systems to reach these goals. One kind of IT-system is called Product Lifecycle Management or PLM. PLM is a controlled and systematic way of administrating and developing products. PLM's foundation is its ability to create, store and preserve product related data. This makes it easier to find, share, modify and reuse product data. PLM manages ownership and access so that everyone has access to the data they need. The system also limits the possibility for users to accidentally change or delete data that they do not have authority to modify. This thesis was carried out at the request of two companies, a manufacturing company and Conex Software AB a company with high-level expertise in PLM, CAD, CAM, CAE and process development. The Company is about to implement a PLM-system which will result in significant changes in the product development process. To be able to evaluate the result of the implementation it is important to identify useful metrics.The purpose of this master's thesis was to "identify metrics to measure effect of the impending PLM-implementation".The first part of the work was a study of the available literature which provided an increased understanding of the area. The work alternated between literature study and interviews. The interviews are called Problem Identification, Manual Work and Double work, and Case Study of Engineering Change Orders. The first interview, Problem identification was a qualitative interview which provided a better understanding of the interviewees work and common PLM-related problems. The result was used as a base for further literature study and two quantitative interviews.The second interview, Manual Work and Double Work was a quantitative interview. The purpose was to measure the time spent on a number of tasks. According to some literature these tasks could be fully or partially automated with a PLM-system. The result shows potential yearly time savings of 4500-5600 hours.The third interview, Case Study of Engineering Change Orders was a quantitative interview. Engineering change orders are used for changes implemented throughout the product lifecycle meaning that they works well as an approximation of the product development work. The case study's primary goal was to measure the time spent on five tasks: preliminary investigation (15%), localization of data (2%), administration (13%), coordination/meetings (25%) and change work (46%). By dividing total work time by total cycle time, effective time is calculated. The average effective time was 17%, if work were to be performed in parallel it is theoretically possible to far exceed one hundred percent. The secondary goal was to measure how many tools were used for administration and localization of data. The average number of tools was 3.8 for administration and 3.6 for localization of data. The third goal was to measure communication by measuring the number of internal e-mails, telephone conversations and meetings needed for every engineering change order. The average was 15 e-mail questions and 26 oral questions per order.The Metrics that the thesis identified and measured are listed below:• Study of Manual Work and Double Work - the time spent on work which could potentially be automated.• Case Study of Engineering Change Orderso Time - time for separate tasks, total time, cycle time and effective timeo Number of questions - e-mails, telephone conversations and meetingso Number of tools - administration and localization of data

Place, publisher, year, edition, pages
2012. , 50 p.
Keyword [en]
Keyword [sv]
URN: urn:nbn:se:ltu:diva-48696Local ID: 61fcc5ec-9a02-4105-a639-fe42edf32690OAI: diva2:1022040
Subject / course
Student thesis, at least 30 credits
Educational program
Mechanical Engineering, master's level
Validerat; 20120913 (anonymous)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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