Hybrid Business Process Modeling
Added on 2020-03-16
10 Pages2678 Words61 Views
Data Science and Big Data
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BUSINESS PROCESS ENGINEERINGBusiness Process Management (BMP) Article ReviewCase Analytics Workbench: Platform for Hybrid Process Model Creation and EvolutionBy Yu, X; Li, X; Liu, H; Mei, J; Mukhi, N; Ishakian, V; Xie, G; Lakshmanan, G.T. and Marin, M. Student NameStudent IDUniversityProfessorDateStudent Name – ID 1
The article under review in this essay is titled ‘Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution’. This article was presented by Yu, X; Li, X; Liu, H; Mei, J; Mukhi, N; Ishakian, V; Xie, G; Lakshmanan, G.T. and Marin, M. during the 13thInternational Conference on Business Process Management. The article discusses a new approach of creating and developing an effective hybrid process model that combines both declarative and imperative business modeling processes. The importance of business process modeling in business process management cannot be overemphasized. For a business to thrive ina competitive environment, it must have properly structured models that make it easier to execute, analyze and improve various processes of the business. This review will be discussed bydescribing the content and intension of the article, analyzing the discussion and conclusions made by the authors, identifying issues highlighted by the authors about the model developed, discussing the relevance of the model created in business process management and writing a conclusion of the entire article. This article discusses a new approach of creating and developing hybrid process models called Case Analytics Workbench. According to the authors of the article, this is an end-to-end system that accelerates the process of creating and developing hybrid process models through combination of imperative and declarative process mining, human interaction through a cloud environment and event log clustering. Most of business modeling processes have been either imperative or declarative. Imperative modeling processes include XPDL (XML process definition language), BPMN (business process model and notation and web services BPEL (business process execution language). These processes apply imperative paradigm where only allowed activity flows are captured and any unspecified flow is rejected implicitly thus limiting many BPM applications[ CITATION DeG15 \l 1033 ]. Declarative modeling processes include SCIFF, Declare and DCR. These processes allow all activity flows as long as specified constraints are not violated[ CITATION Goe15 \l 1033 ]. But as a result of changing business environments, customer demands, economic factors and technologies, many businesses nowadays have knowledge-intensive processes that cannot be efficiently met with either declarative or imperative modeling process. The knowledge-intensive processes largely depend on knowledge and expertise of workers who perform different interrelated knowledge-intensive executive tasks that are centered on large volumes of data and information and need greater flexibility. Both the imperative and declarative modeling process have their own strengths and Student Name – ID 2
weaknesses using each of these processes individually is not enough to meet the current businessprocess modeling requirements[ CITATION Car16 \l 1033 ]. To overcome this challenge, authors of this article decided to develop an approach that combines both the declarative and imperative business modeling processes. Hybrid models improve service quality of clients offered by BPM companies, consultants or specialists[ CITATION Par161 \l 1033 ]; [ CITATION Wan13 \l 1033 ]. Therefore the purpose of this article is to examine a new approach of creating and developing an effective hybrid process model called case analytics workbench, which combines both declarative and imperative business modeling approaches. The hybrid modeling approach is able to modeling all processes of the business.Looking at it from human effort perspective, creating and refining a hybrid business process model for knowledge-intensive processes is a demanding task. To begin with, the modeler must visualize the process model so as to have a picture of the final product. This gets more challenging as the complexity and structure of the business becomes more complex. Second, the model should identify and follow an appropriate learning curve so as to learn the latest hybrid modeling guidelines and languages. Third, the modeler must ensure that his hybrid model is up-to-date by running various process mining approaches and explaining the results comprehensively so as to improve it. Last but not least, it is important for the modeler to check other analytics approaches so as to customize his model even better. There are five main features that make case analytics workbench a better business process modeling method. First, this method combines mining results obtained from both imperative and declarative processes and extract evidences backed by data then uses an original hybrid model to synthetize the evidences automatically. Second, it applies a hybrid modeling approach that is acceptable in the industry by modeling declarative parts and imperative parts using CMMN and BPMN respectively, and considering their extendibility and applicability. Third, it uses event log clustering for customizing the business process model created. Fourth, it provides better and state-of-the-art interfaces that improves user’s visualization and interactions when creating and developing a business process model. Fifth, it is integrated with IMB Case Manager (IBM) – a case management product[CITATION YuX15 \l 1033 ]. The case analytics workbench comprises of four main modules: case model management module, data management module, process mining module, and evidence management module, Student Name – ID 3
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