{"title":"Business view on the development of industrial plant-wide optimization tool","authors":"Jukka Hemilä, J. Jansson","doi":"10.1109/POMS.2018.8629458","DOIUrl":null,"url":null,"abstract":"The process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. Plant-wide monitoring and control is a requirement for achieving economically and environmentally efficient operation. The Coordinating Optimization of Complex Industrial Processes (COCOP) project’s objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods, and provides a means to monitor and control large industrial production processes. This paper looks at the COCOP development from the business perspective of a copper-smelting pilot case. Business Model Canvas and Business Environmental Map methodologies were used in the pilot case workshops for studying potential business models and business environments related to the COCOP solution.","PeriodicalId":119869,"journal":{"name":"2018 International Conference on Production and Operations Management Society (POMS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Production and Operations Management Society (POMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POMS.2018.8629458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The process industry faces a strong need to increase product quality and reduce operating costs and its environmental footprint. Plant-wide monitoring and control is a requirement for achieving economically and environmentally efficient operation. The Coordinating Optimization of Complex Industrial Processes (COCOP) project’s objective is to define, design and implement a concept that integrates existing industrial control systems with efficient data management and optimization methods, and provides a means to monitor and control large industrial production processes. This paper looks at the COCOP development from the business perspective of a copper-smelting pilot case. Business Model Canvas and Business Environmental Map methodologies were used in the pilot case workshops for studying potential business models and business environments related to the COCOP solution.