INTRODUCTION AND EVALUATION PROBLEM OF BPM AND RPA APPROACHES IN MODERN LOGISTIC SYSTEMS
Journal Title: Scientific Journal of Astana IT University - Year 2022, Vol 12, Issue 12
Abstract
Every modern business system tends to reduce production and management costs. There is a reason different management tools are actively introduced into different types of entrepreneurships, from the tiniest shops and online stores to global companies with thousands of employees. Such instruments optimize and ease many processes within every action which must be completed somewhere between the businessman and its customer. Except financial profit the approach may spill the light on previously hidden features of the business. There are many ways of upgrading and automatization however most common is introducing Business Process Management. Although BPM is a holistic approach to optimizing and automating business processes from start to finish, this article represents Robotic Process Automation as a new form of workflow automation technology. Choice of the proper tool requires consequential analysis and overview of existing methodologies. It provides picking the proper notation as they differ based on a set of parameters and features. But not only methodology needs to be analyzed and known, it also requires full understanding of all the processes within the business itself. According to those representational analyses, the introduction methodology of the robotic solution technique is represented within the framework of a logistic business process. The author provides the work with a detailed description of BPM and RPA models integration highlighting their main features. Along with that, the literature analysis was conducted to define the problems of the logistic business automatization’s current condition. The paper is a consequent comparison of BPM and RPA especially in logistic systems. Author provides methodological recommendations on the adoption of management and automation tools in logistic systems.
Authors and Affiliations
Raissa Uskenbayeva, Nurgul Nalgozhina, Moldir Berkaliyeva
Keywords
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- EP ID EP713376
- DOI 10.37943/12UXAN3708
- Views 28
- Downloads 0
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