M. D'Aloia, A. Longo, Francesca de Carlo, Pierpaolo De Leonardis, P. Rizzi, M. Rizzi
{"title":"Project IAAP: An Overview on Optimizing Business Process in Smart Enterprises","authors":"M. D'Aloia, A. Longo, Francesca de Carlo, Pierpaolo De Leonardis, P. Rizzi, M. Rizzi","doi":"10.23919/AEIT.2018.8577389","DOIUrl":null,"url":null,"abstract":"The growing rhythm of the modern economy forces companies to constantly introduce new solutions, resulting in innovating the market. Nowadays, the vast majority of businesses are determined to implement product, technical, technological and organizational innovation. Enterprises are focused on creating value for the customer, who is becoming more aware and demanding in terms of increased customer requirements relating to lead time delivery services, product availability and reliability. The newest solutions such as Internet of Things, Big Data and Industry 4.0 create opportunities to meet the needs and to contribute to the development of logistics and supply chains management. In this paper we analyse the possibility of utilizing Business Process Management techniques, Standard Methodology, Artificial Intelligence techniques (AI) and Decision Support Systems (DSS) in the management of business processes for supporting business processes optimization with a centred approach at supply chains under the usage of the business process lifecycle.","PeriodicalId":413577,"journal":{"name":"2018 AEIT International Annual Conference","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 AEIT International Annual Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/AEIT.2018.8577389","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 growing rhythm of the modern economy forces companies to constantly introduce new solutions, resulting in innovating the market. Nowadays, the vast majority of businesses are determined to implement product, technical, technological and organizational innovation. Enterprises are focused on creating value for the customer, who is becoming more aware and demanding in terms of increased customer requirements relating to lead time delivery services, product availability and reliability. The newest solutions such as Internet of Things, Big Data and Industry 4.0 create opportunities to meet the needs and to contribute to the development of logistics and supply chains management. In this paper we analyse the possibility of utilizing Business Process Management techniques, Standard Methodology, Artificial Intelligence techniques (AI) and Decision Support Systems (DSS) in the management of business processes for supporting business processes optimization with a centred approach at supply chains under the usage of the business process lifecycle.