Open AccessBUSINESS PROCESS THROUGHPUT METRICS
Author(s) -
И. В. Артамонов
Publication year - 2018
Publication title -
vestnik astrahanskogo gosudarstvennogo tehničeskogo universiteta. seriâ: èkonomika
Language(s) - English
Resource type - Journals
eISSN - 2309-9798
pISSN - 2073-5537
DOI - 10.24143/2073-5537-2018-1-43-50
Subject(s) - business process , computer science , business process management , workload , process (computing) , throughput , process management , artifact centric business process model , business process modeling , quality (philosophy) , business analysis , service (business) , set (abstract data type) , measure (data warehouse) , business process discovery , risk analysis (engineering) , business model , database , work in process , operations management , engineering , business , operating system , philosophy , epistemology , marketing , wireless , programming language
In the course of development and implementation of information technologies it is necessary to measure performance of the designed and improved business processes. A developed system of performance metrics for such analysis is determined by the specific nature of a business process, while its quality depends on the analyst’s experience. Current technologies do not provide a method for objective measuring of future business processes throughput efficiency being either too primitive or too complex for real-world enterprise models. Some experience on performance measuring is collected in the theory of manufacturing systems, computer hardware and software, queuing theory and quality of service of business processes. Summing up the achievements it is possible to create a general-purpose and abstract set of performance parameters that can be applied to any business process and used for depth analysis of processes in the systems of simulation modelling and of business process management. The set consists of four groups evaluating efficiency by the time of operation, quantitative parameters, workload of employees and compliance to standards and conventions. For these parameters there have been developed a number of boundary values, reaching them leads to undesirable effects. Besides, the definition of dangerous events has been proposed to determine abnormal, out-of-bound process behavior or state causing business process failure.