Work

Discrete Event Monte-Carlo Simulation Based Decision Support System for Business Process Management

Year: 2010

Type: article

Abstract: This paper presents a discrete event Monte-Carlo simulation based decision support system (DSS), which helps in managing business processes. Process managers use available information on work load, resource availability, task time, etc. and use their experience to predict the performance of the process and take corrective action, if required. We describe here a method and a system which takes available information about work load, and resource availability, to predict near future system performance using discrete event simulation, and compares the expected performance with desired service level and alerts the manager to take corrective action. The DSS assists operational managers in handling more complexity in decision making. This paper describes the framework for design of such a system which can be used in conjunction to a business process Management system.

Source: Journal of the Association for Information Systems

Authors: Manish Kumar, Jyoti M. Bhat

Institution: Infosys (India)

Language: English

Topic: Business Process Modeling and Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: green

Funder: National Institute of Neurological Disorders and Stroke

Award: Regulation of Neurotransmitter Metabolism

OpenAlex ID: W3827219

FWCI:

Cites: 7

Cited by: 1

Related to: 10