Open AccessDecision-making support for input data in business processes according to former instances
Author(s) -
José Miguel Pérez-Álvarez,
Luisa Parody,
María José González López,
Rafael M. Gasca,
Paolo Ceravolo
Publication year - 2021
Publication title -
computer science and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 24
eISSN - 2406-1018
pISSN - 1820-0214
DOI - 10.2298/csis200522051p
Subject(s) - computer science , business process , decision support system , business rule , process (computing) , consistency (knowledge bases) , business process modeling , artifact centric business process model , constraint (computer aided design) , business intelligence , set (abstract data type) , process management , data mining , artificial intelligence , work in process , programming language , operations management , mechanical engineering , business , engineering , economics
Business Processes facilitate the execution of a set of activities to achieve the strategic plans of a company. During the execution of a business process model, several decisions can be made that frequently involve the values of the input data of certain activities. The decision regarding the value of these input data concerns not only the correct execution of the business process in terms of consistency, but also the compliance with the strategic plans of the company. Smart decision-support systems provide information by analyzing the process model and the business rules to be satisfied, but other elements, such as the previous temporal variation of the data during the former executed instances of similar processes, can also be employed to guide the input data decisions at instantiation time. Our proposal consists of learning the evolution patterns of the temporal variation of the data values in a process model extracted from previous process instances by applying Constraint Programming techniques. The knowledge obtained is applied in a Decision Support System (DSS) which helps in the maintenance of the alignment of the process execution with the organizational strategic plans, through a framework and a methodology. Finally, to present a proof of concept, the proposal has been applied to a complete case study.