{"title":"A metamodeling approach for the simulation of energy and media demand for the brewing industry","authors":"Raik M. Bär, Tobias Voigt","doi":"10.1002/amp2.10080","DOIUrl":null,"url":null,"abstract":"<p>Due to economic, social and technical trends, as well as rising energy costs, the food and beverage industry is challenged to work energy-efficiently. Small and medium-sized enterprises in particular lack of both time and knowledge to identify and implement suitable energy efficiency measures. With the help of simulation, decision-makers can pursue numerous approaches and make well-founded decisions. A metamodel based on four modeling pillars (physical-, process-, article/recipe-, and production plan model) for an entire production system concerning the forecast of energy and media consumption is presented. The metamodel is implemented in a user-friendly modeling tool, which enables a simple hybrid modeling without prequalification of the user. Subsequently, a standardized data exchange file, as basis for a simulation model, is generated. For validation, various use cases were modeled and the tool was validated using a systematic test. In addition, two simulation studies were performed to show that the presented approach provides the opportunity to create a holistic model in terms of forecasting energy and media consumption.</p>","PeriodicalId":87290,"journal":{"name":"Journal of advanced manufacturing and processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/amp2.10080","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of advanced manufacturing and processing","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/amp2.10080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Due to economic, social and technical trends, as well as rising energy costs, the food and beverage industry is challenged to work energy-efficiently. Small and medium-sized enterprises in particular lack of both time and knowledge to identify and implement suitable energy efficiency measures. With the help of simulation, decision-makers can pursue numerous approaches and make well-founded decisions. A metamodel based on four modeling pillars (physical-, process-, article/recipe-, and production plan model) for an entire production system concerning the forecast of energy and media consumption is presented. The metamodel is implemented in a user-friendly modeling tool, which enables a simple hybrid modeling without prequalification of the user. Subsequently, a standardized data exchange file, as basis for a simulation model, is generated. For validation, various use cases were modeled and the tool was validated using a systematic test. In addition, two simulation studies were performed to show that the presented approach provides the opportunity to create a holistic model in terms of forecasting energy and media consumption.