The article on workbench analytics regarding the process of hybrid model evolution and creation is taken from the occurrence of the International Conference process. It produces an improvement that discusses the modeling in the business process. Recent alternatives in the declarative and imperative processes indicate general limitations. Hence, combining the mentioned processes to come up with a hybrid process takes advantage of the various processes and seems as the better alternative in modeling. In addition, these authors provide an assistance relevant to modelers during creation and refining of the model which is a hybrid process. The process of modeling produced workbench case analytics that was considered to be an end-to-end business process system. Also, the two study cases that involved health care and insurance industry were analyzed to present deeper understanding regarding the model in discussion (Lano, et al., 2014). The paper at hand produces a summary of the article that includes the weaknesses and strengths of the declarative and imperative approaches. The reasons for the hybrid process model developed an attractive process of business that combined both approaches in business. In the strategy of providing evidence of the idea, articles that were related to the process were compared. A focus on the case studies illustrated the applicability and effectiveness of the workbench case analytics that applied in reality. Lastly, a limitation was in the model tool workbench that was to be considered during further application that is to be presented in this article (Scheer, 2013).
Imperative declarative and modeling approaches give critical information on the management business process domain. The former has a structured model for modeling management in business process as opposed to the later that supports languages that require flexibility. Also, there is a demonstration in the imperative model specification that specifies how the whole process is being done. The present declarative approaches have an eye on the logic that determines the actions in play during process description in the activities being performed and the constraints that prohibit the undesired behavior. These imperative features can be proved in the research program that delivers sequential information that is better. The declarative programs gives an insight on the circumstantial information. The process includes imperative models that are the BPEL, XPDL, and the BPMN together with the declarative models that include the DCR Graphs, Declare and the SCIFF that show the benefits of process modeling (Lano, et al., 2014).
However, the study indicates that the entire business process modeling that is in practice is most likely to be impossible when used in declarative models since there are processes or any relevant parts in the process that could be present in a better imperative model. Examples include the Business Process Modelling Notation together with the Event-Driven Process Chains. These two modeling imperative techniques produce the execution activity sequence explicitly whose result heavily depend on the workers’ knowledge, over specification and inexistence of flexibility. In addition, the declarative modeling tool takes Declare as an event that is an ‘outside-in’ strategy describing the essential characteristics other than the working process in whole (RADHAKRISHNAN & BALASUBRAMANIAN, 2008).
Taking reference from the shortcomings and the advantages that come from the two types in modeling business process, the known authors argue that overall, the approach in hybrid modeling seems to be more attractive in the business modeling process. These authors show their evidence on the related work about the models of the hybrid process that already exists and have been developed in academic and industrial works. The case manager of IBM (ICM) is an example of designing the major model structure together with the process task using the Case Management Model and Notation – the declarative language in modelling; and the Business Process Model and Notation – the imperative language in modelling respectively. The authors also put down research that gave a suggestion that produced better business modeling process during the division of event logs into the unstructured and the structured sequences that discovered the imperative sub-processes together with the declarative sub-processes in the hybrid mining process approach. Also, there was an introduction of integrating methodology in the imperative and the declarative modeling processes whose approach is used in forming model business process in the process of logistic service. Its application was in the Chinese bulk port. The case study provides proof of the effectiveness in loose-structure modeling process service together with the highly structured parts. Other than the modeling process supporting the corresponding rules and logistics regulations that are put across in various organizations, the process also gives an assistance in strict order execution land the activity process in the specific organization to be done completely (Neiger, et al., 2008).
Taking from the terms in the Case Analytics Workbench, authors state that this system is end-to-end including the various advantages that are beyond the two modeling approach combination. To begin with, the approach can provide support in customized modeling process by providing leverage of clustering event log. Also, rich users can interact and visualize; as a result, the evolution process and the modeling creation can be facilitated. Lastly, there is an integration with the ICM having to be very useful. Case Analytics Workbench is present in industries such as healthcare and insurance and shows how it has its importance in the modeler during the creation of model processes inconvenient and less complex methodology (Lano, et al., 2014).
The Case Analytics Workbench has a division of four major modules; Evidence Management, Case Model Management, Data Management and Process Mining Module. It also provides a separation into two parts such as the client-side together with the server-side components. As the former gets deployed in the big cloud environment, the other helps in rendering user interfacing.
The Data Management is useful in dealing with a number of processes in execution logs that have a transformation in the formal format of event logs after which it is processed using data clustering. Next is the event logs coming from the Data Management that is executed during the process Mining Module whose combination of imperative and declarative mining processes are run. The resulting produce in this mentioned step is the Evidence Adapter 1 together with the Evidence Adapter 2. The stage that follows is the Evidence Management Collection of the Adapter and giving them to the user for better understanding and sight. Lastly, the Case Model Management includes the Case Model Manager, Case Model Editor, and the Case Model DB that provides the case model that can be used by a user in interacting with the model creation, saving, editing, and transformation.
Case Analytics Workbench effectiveness is proven using the insurance company case study. During Data management stage, the 4305 execution logs that were the process of underwriting were changed to formal logs of the event by using Data Preparation. The change led to the generation of two clusters that include the 2038 case instances that related to ‘the auto quote’ together with the 2267 case about ‘property quote’. Users can henceforth easily determine the cluster 1 and cluster 0 that represent the cases in auto insurance also the property insurance cases respectively. A change to the known Process Mining Module that is a method of the declaration, has the goal ‘cycle time being two days less’ (Neiger, et al., 2008).
The declaration process–mining engine produced the additional constraints and the additional tasks that are not visible in the fresh model that is raw. The results are represented appropriately with more details put in the support degree. Also, the goal achievement correlation can be added. The stage that follows is the Evidence Management that involves the imperative and declarative mining processes in the engines used. Evidence that possesses the support figure that is greater than 0.3 and has a greater correlation goal than 0.5 can be filtered off.
The usability of Case Analytics Workbench can be put down like the case study in the Care Pathway Refinement. The present authors the possibility of managing the congestive failure in the heart due to using workbench that is complex with string requirement flexibility for ad hoc variation. The tests in the traditional baseline are to be done in the care pathway before starting any treatment. However, the original Electronic Medical Records information model of pathway care containing numerous baseline tests had not been done but the treatments were started still. The reasons for such kind of violation are reasonable. Also, the treatments were able to be done in accordance with the previous medical histories that could miss in the record, thereby initiating treatments can be performed with lack of past baseline test in few cases (Jack, et al., 2012).
When discussing and concluding, the authors in discussion produced two viewpoints that were comprehensive, one originated from system design whereas the other originated from applicability. The last view indicates the component cost that includes the Data Clustering decoupling that does exist. Moreover, there could disadvantages when a large volume of information required in transmission in Data Management Module together with various engines in mining process since the mentioned Data Management Module provide component independence. The last view indicates that the positive feedback from professionals that are related that include product managers in BPM and the clinical physicians and the developers. Such feedbacks come from the advantages existing in combining declarative and imperative process model in the Case analytics Workbench since user interactions, interaction mode design, and the analytic result visualization (Scheer, 2013).
Conclusion
The mentioned authors produced the very common limitation that is spread in the research. These authors state that there is a necessity in getting a better empirical evaluation produced by various modelers. The generated models are better evaluated and require transformation and exportation to various platforms in management business process that include the ICM since when used as a modeling tool, the workbench will not perform well. There also is a clear demonstration of more points that limit the research that was done. A hybrid model process has to be built with regards to transparent model element separation; in consequence, Task and Stage elements are to be considered as Step elements and declarative parts in the Process Task in imperative ones. In the contrary, most of these cases in an actual sense are difficult to identify the elements of modeling. Hence, such cases a hybrid model process has to be designed with flexibility and considering both the imperative and declarative models. A suggestion for further consideration is also put forward in that the getting more branches of temporal constraints and data conditions, the declarative portion of the model should integrate Declare other than using a GSM-based model whose support is limited (Scheer, 2013).
References
Jack, D., Gulledge, T. & Lee, C., 2012. Business Process Engineering: Advancing the State of the Art. illustrated ed. Mackay: Springer Science & Business Media.
Lano, K., Singh, R. & Maroukian, K., 2014. Model-Driven Business Process Engineering. reprint ed. Darwin: Bentham Science Publishers.
Neiger, D., Churilov, L. & Flitman, A., 2008. Value-Focused Business Process Engineering : a Systems Approach: with Applications to Human Resource Management. illustrated ed. Sydney: Springer Science & Business Media.
RADHAKRISHNAN, R. & BALASUBRAMANIAN, S., 2008. BUSINESS PROCESS REENGINEERING: Text and Cases. 1 ed. Melbourne: PHI Learning Pvt. Ltd.
Scheer, A., 2013. Business Process Engineering Study Edition: Reference Models for Industrial Enterprises. illustrated ed. Darwin: Springer Science & Business Media.
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