{"title":"Towards Modeling Variability of Products, Processes and Resources in Cyber-Physical Production Systems Engineering","authors":"Kristof Meixner, Rick Rabiser, S. Biffl","doi":"10.1145/3307630.3342411","DOIUrl":null,"url":null,"abstract":"Planning and developing Cyber-Physical Production Systems (CPPS) are multi-disciplinary engineering activities that rely on effective and efficient knowledge exchange for better collaboration between engineers of different disciplines. The Product-Process-Resource (PPR) approach allows modeling products produced by industrial processes using specific production resources. In practice, a CPPS manufactures a portfolio of product type variants, i.e., a product line. Therefore, engineers need to create and maintain several PPR models to cover PPR variants and their evolving versions. In this paper, we detail a representative use case, identify challenges for using Variability Modeling (VM) methods to describe and manage PPR variants, and present a first solution approach based on cooperation with domain experts at an industry partner, a system integrator of automation for high-performance CPPS. We conclude that integrating basic variability concepts into PPR models is a promising first step and describe our further research plans to support PPR VM in CPPS.","PeriodicalId":424711,"journal":{"name":"Proceedings of the 23rd International Systems and Software Product Line Conference - Volume B","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd International Systems and Software Product Line Conference - Volume B","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3307630.3342411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Planning and developing Cyber-Physical Production Systems (CPPS) are multi-disciplinary engineering activities that rely on effective and efficient knowledge exchange for better collaboration between engineers of different disciplines. The Product-Process-Resource (PPR) approach allows modeling products produced by industrial processes using specific production resources. In practice, a CPPS manufactures a portfolio of product type variants, i.e., a product line. Therefore, engineers need to create and maintain several PPR models to cover PPR variants and their evolving versions. In this paper, we detail a representative use case, identify challenges for using Variability Modeling (VM) methods to describe and manage PPR variants, and present a first solution approach based on cooperation with domain experts at an industry partner, a system integrator of automation for high-performance CPPS. We conclude that integrating basic variability concepts into PPR models is a promising first step and describe our further research plans to support PPR VM in CPPS.