Knowledge based approach to flexible workflow management systems

This thesis was submitted for the degree of Doctor of Philosophy and awarded the Korea Advanced Institute of Science and Technology (KAIST).Today's business environments are characterized by dynamic and uncertain environments. In order to effectively support business processes in such contexts, workflow management systems must be able to adapt themselves effectively. In this dissertation, the workflow is redefined in concept and represented with a set of business rules. Business rules play a central role in organizational workflows in context of cooperation among actors. To achieve business goals, they constrain the flow of works, use of resources, and responsibility mapping between tasks and actors using role concept. Business rules are explicitly modeled in the Knowledge-based Workflow Model (KWM) using frames. To increase the adaptability of workflow management system, KWM has several distinctive features. First, it increases expressiveness of workflow model so that exception handling rules and responsibility mapping rules between tasks and actors as well as task scheduling rules are explicitly modeled. Secondly, formal definition of KWM enables one to define and to analyze correctness of workflow schema. Knowledge-based approach enables more powerful analysis on workflow schema including checking consistency and compactness of routing rules as well as terminality of a workflow. Thirdly, providing change propagation mechanism which assures correctness of workflow after the modification of workflow schema increases adaptability. Change propagation rules for the modification primitives are provided to manage workflow evolution. On the other hand, metarules that control rules in KWM are used to handle exceptions that occur in a running workflow instance. Workflow participants can easily change workflow schema of a workflow instance with the support of extra rules and a metarule. Based on KWM, K-WFMS (Knowledge-based WorkFlow Management System) has been implemented in client/server architecture. Inference shell of knowledge-based systems is employed for enactment of business rules and integrated with database systems. From a real application based on the KWM architecture, it has been shown that system performance can increase notably by reducing the number of rules and facts that are used in the course of workflow enactment

Dynamic management for business processes modeling & execution in workflows

Contemporary workflow-management systems cannot represent change or evolution of business processes. When a change is needed due to external reason, an offline procedure is invoked in order to create a new workflow engine template for the future instances in the workflow enactment module. The standard interfaces do not deal with the business process metadata in a way that can actually change it as a reaction to inbound knowledge. There are many relevant cases, especially in the virtual enterprise arena, where the business process is not deterministic and is influenced by external parameters (such as the selection of virtual partners), so the knowledge of what should be done is available, however it is external to the system. There is a need to develop a modeling mechanism that enables to transfer process definitions in an automatic way, without the need for human interference. One way of confronting with these issues is the use of a rule-based engine to monitor business process execution. This engine will contain internal meta-rules that refer to metadata entities, i.e. rules that describe how to act on other rules (business process routing) when a change is detected, while executing all needed consistency checks

Adaptive business rules framework for workflow management

Changing scattered and dynamic business rules in Business Workflow Systems has become a growing problem that hinders the use and configuration of workflow-based applications. There is a gap in the existing research studies which currently focus on solutions that are application specific, without accounting for the universal logical dependencies between the business rules and, as a result, do not support adaptation of the business rules in real time. Design/methodology/approach – To tackle the above problems, this paper adopts a bottom-up approach, which puts forward a component model of the business process workflows and business rules based on purely logical specification which allows incremental development of the workflows and indexing of the rules which govern them during the initial acquisition and real-time execution. Results – The paper introduces a component-based event-driven model for development of business workflows which is purely logic based and can be easily implemented using an object-oriented technology together with a formal model for accounting the business rules dependencies together with a new method for incremental indexing of the business rules controlling the workflows. It proposes a two-level inference mechanism as a vehicle for controlling the business process execution and adaptation of the business rules at real time based on propagating the dependencies between the rules. Originality/value –The major achievement of this research is the universal, strictly logic-based event-driven framework for business process modelling and control which allows automatic adaptation of the business rules governing the business workflows based on accounting for their structural dependencies. An additional advantage of the framework is its support for object-oriented technology which can be implemented with enterprise-level quality and efficiency. Although developed primarily for application in construction industry the framework is entirely domain-independent and can be used in other industries, too

KWM: Knowledge-based Workflow Model for agile organization

The workflow management system (WFMS) in an agile organization should be highly adaptable to the frequent organizational changes. To increase the adaptability of contemporary WFMSs, a mechanism for managing changes within the organizational structure and changes in business rules needs to be reinforced. In this paper, a knowledge-based approach for workflow modeling is proposed, in which a workflow is defined as a set of business rules. Knowledge on the organizational structure and special workflow, such as role/actor mappings and complex routing rules, can be explicitly modeled in KWM (Knowledge-based Workflow Model). Using knowledge representation scheme and dependency management facility, a change propagation mechanism is provided to adapt to the frequent changes in the organizational structure, business rules, and procedures

SYMEX: A Systems Theory based Framework for Workflow Modelling and Execution

Workflow management systems enable organisations to deal with all aspects of business process management, including analysis, modelling, execution, and administration. Modelling workflow processes involves transformation of the process logic into a formal representation and it always remains a critical success factor for these systems. Workflow modelling languages provide constructs for capturing high-level descriptions of business processes, which are then have to be transformed and encoded into low-level execution semantics with the use of workflow programming languages. However, maintaining these models separately results in a number of issues, particularly when the various interdependencies between them are managed manually. This primarily creates difficulties in adaptation, in terms of identifying changes in high-level descriptions due to modifications of business conditions, and tracing the impact of those changes on the low-level execution semantics. Moreover, certain information included in the high-level descriptions is either partly encoded or omitted from the low-level execution semantics and at the same time, complicated business rules encoded at the execution level are not included in the high-level descriptions, creating major inconsistencies. The above issues result in high maintenance costs, reducing the overall efficiency and performance of workflow management systems. This thesis addresses the aforementioned problems by proposing a framework named SYMEX. SYMEX addresses the issue of integrating high and low-level descriptions in one unified format, from a Systems Theory perspective. SYMEX models have a mathematically defined formalism capable of capturing both high-level descriptions of business processes and low-level workflow execution semantics. Furthermore, SYMEX offers a concise and easy to learn and communicate set of constructs, allowing business analysts, process designers, and programmers to work on the same model, at different levels of abstraction. Apart from the theoretical framework, an XMLbased approach for the application of SYMEX is proposed, along with a constraint- based inference engine. Additionally, SYMEX models are evaluated in terms of their complexity and prove easier to read, understand, and manage than other traditional workflow modelling approaches. However, further research is required to assess the capability of the framework, with respect to modelling workflow processes in a service-oriented environment, where activities of business processes are essentially web-services exposed on the Internet

Integration of BPM systems

New technologies have emerged to support the global economy where for instance suppliers, manufactures and retailers are working together in order to minimise the cost and maximise efficiency. One of the technologies that has become a buzz word for many businesses is business process management or BPM. A business process comprises activities and tasks, the resources required to perform each task, and the business rules linking these activities and tasks. The tasks may be performed by human and/or machine actors. Workflow provides a way of describing the order of execution and the dependent relationships between the constituting activities of short or long running processes. Workflow allows businesses to capture not only the information but also the processes that transform the information - the process asset (Koulopoulos, T. M., 1995). Applications which involve automated, human-centric and collaborative processes across organisations are inherently different from one organisation to another. Even within the same organisation but over time, applications are adapted as ongoing change to the business processes is seen as the norm in today’s dynamic business environment. The major difference lies in the specifics of business processes which are changing rapidly in order to match the way in which businesses operate. In this chapter we introduce and discuss Business Process Management (BPM) with a focus on the integration of heterogeneous BPM systems across multiple organisations. We identify the problems and the main challenges not only with regards to technologies but also in the social and cultural context. We also discuss the issues that have arisen in our bid to find the solutions

Towards an Intelligent Workflow Designer based on the Reuse of Workflow Patterns

In order to perform process-aware information systems we need sophisticated methods and concepts for designing and modeling processes. Recently, research on workflow patterns has emerged in order to increase the reuse of recurring workflow structures. However, current workflow modeling tools do not provide functionalities that enable users to define, query, and reuse workflow patterns properly. In this paper we gather a suite for both process modeling and normalization based on workflow patterns reuse. This suite must be used in the extension of some workflow design tool. The suite comprises components for the design of processes from both legacy systems and process modeling