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ghanadbashi--saeedeh
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Towards a method engineering approach for business process reengineering
, Article IET Software ; Volume 10, Issue 2 , 2016 , Pages 27-44 ; 17518806 (ISSN) ; Ramsin, R ; Sharif University of Technology
Institution of Engineering and Technology
2016
Abstract
Business process reengineering (BPR) assists organisations in improving their internal functions to better achieve their business objectives. Various methodologies have been developed for applying BPR, through which organisational processes are identified, analysed, and improved. However, the need still remains for custom methodologies which are tailored to fit the specific characteristics of organisations and BPR projects. Process patterns are abstract representations of common and effective processes that can be reused as method parts for building custom methodologies; an approach that is commonly referred to as situational method engineering (SME). This study aims to use SME in the...
Development of a Pattern-Based Methodology Engineering Framework for Business Process Reengineering (BPR)
,
M.Sc. Thesis
Sharif University of Technology
;
Ramsin, Raman
(Supervisor)
Abstract
The basic goal of reengineering is to reduce the complexity of a legacy system in order to keep its maintenance costs at an acceptable level. Business Process Reengineering (BPR) mainly focuses on the redesign of business processes in an organization in order to improve the relevant performance and efficiency factors influencing the processes, such as cost and speed, and also to promote the quality of the products produced. Among the different methods and techniques proposed for BPR, the pattern-oriented approach has received considerable attention by researchers. In this approach, the concept of patterns -successful solutions to recurring problems - is applied in the context of BPR in order...
Applying data mining techniques to business process reengineering based on simultaneous use of two novel proposed approaches
, Article International Journal of Business Process Integration and Management ; Volume 6, Issue 3 , 2013 , Pages 247-267 ; 17418763 (ISSN) ; Khanbabaei, M ; Saniee Abadeh, M ; Sharif University of Technology
2013
Abstract
Business process reengineering (BPR) can help organisations to identify and improve their business processes. A major problem is the high volume of business process datasets with characteristics such as high dimensionality, noise, uncertainty in process datasets and complicated interactions among process variables. Data mining (DM) techniques facilitate the identification and analysis of business processes, and improve their performance by extracting the hidden knowledge in business process datasets. In this paper, we present the application of DM to BPR, based on two novel approaches. By a literature review, the first approach proposes DMbBPR model, mainly focuses on the applications of...
An ontology-based augmented observation for decision-making in partially observable environments
, Article International Conference on Agents and Artificial Intelligence ; Volume 2 , 2023 , Pages 343-354 ; 21843589 (ISSN) ; Zarchini, A ; Golpayegani, F ; Rocha A ; Steels L ; van den Herik J ; Sharif University of Technology
Science and Technology Publications, Lda
2023
Abstract
Decision-making is challenging for agents operating in partially observable environments. In such environments, agents’ observation is often based on incomplete, ambiguous, and noisy sensed data, which may lead to perceptual aliasing. This means there might be distinctive states of the environment that appear the same to the agents, and agents fail to take suitable actions. Currently, machine learning, collaboration, and practical reasoning techniques are used to improve agents’ observation and their performance in such environments. However, their long exploration and negotiation periods make them incapable of reacting in real time and making decisions on the fly. The Ontology-based...