Wenan Tan

An approach to enterprise process dynamic modeling supporting enterprise process evolution

This study presents an evolutionary approach to support dynamic enterprise modeling for enterprise process cooperative scheduling and management. In this paper, an evolutionary dynamic enterprise process modeling method was proposed from the concepts of enterprise process evolution to zero-time enterprise modeling and layered complex enterprise modeling. Based on an autonomous agent development platform, an agent-based enterprise collaborative modeling environment has been implemented by integrating several software resource agents that wrap main function modules of EPMS. Scheduling strategies, algorithms, and process-driven cooperative scheduling mechanism are also discussed.

A new method to identify collaborative partners in social service provider networks

The interactions among service providers are represented as a social network to support service-oriented collaborations across multiple manufacturing enterprises. The combination of service-oriented computing and social network facilitates the connection and collaboration within enterprises. It is essential to identify a group of prosperous collaborative partners in a social network in a prompt and efficient way, especially when the number of alternative service providers is large. However, traditional exhaustive searching approaches are inapplicable in identifying a host enterprise and constitutive members due to the prohibitive computations. In this paper, a new and efficient approach has been proposed to identify service providers optimally based on existing social relations. Three innovations in the proposal are (i) a set of new concepts has been defined to construct a social service provider network; (ii) based on remodeling the social graph, the betweenness centrality algorithm has been enhanced to efficiently find the leader who serves as the host enterprise of a given engineering project; (iii) to improve the efficiency of computation, an innovative algorithm is proposed to identify the collaborative partners by confining the searching space in the set of connector nodes. For the validation purpose, the experimental simulation is conducted and the results have demonstrated that the proposed algorithms outperform several existing algorithms in terms of computation time in dealing with the increasing number of enterprises.

Reliable service computing platform architecture for cross-organizational workflows

The extensive uses of Cloud Computing and Service-Oriented Architecture technologies have effectively prompted enterprises to implement cross-organizational workflow cooperative works. In the service-oriented large-scale distributed computing environment characterized by openness, dynamism and uncertainty, the reliable service computation for cross-organizational workflow applications is facing some new challenges. Based on the theory of enterprise ontology, we propose a reliable service computing platform architecture for cross-organizational workflow applications. In this paper, we discuss the system realization detail. First, we propose a semantic ontology model EOM (Enterprise Ontology Model) considering workflows QoS and the trust evolvement of cross-organizational workflow services to support the reliable service modeling of cross-organizational business process. We also introduce the flexibility simulation algorithm and pre-treatment scheduling emergency mechanism. After discussing selection of trustworthy cooperative enterprises for cross-organizational workflows, we give a case application on process modeling for cross-organizational e-Learning services. The research is significant for modern enterprise management, cross-organizational workflow services and heterogeneous system integration.

A method toward dynamic e-learning services modeling and the cooperative learning mechanism

The advanced information technologies have made it possible for individuals to carry out cooperative learning efficiently and effectively from anywhere and at any time. To capitalize on the individual need and address the issues associated with the late entry into the e-learning area, it has great significance to study the service mechanism of CSCL on e-learning service and e-learning service computing modeling. This paper proposes an e-learning service model supporting for the life-cycle process management. The proposed model is developed by considering the learner’s behaviours during e-learning services, the scheduling policies, and the monitoring mechanism of learning activities. Business process modeling for e-learning services can be taken according to the study ordering of the knowledge points by using workflow modeling technology and process enactment mechanism. The overall life-cycle process management of knowledge is addressed by combining knowledge product modeling, knowledge resource modeling, and credit polices for member selection in research team by considering trust value of learners, advisers and providers in e-learning services. The proposed method can be used for supporting the sustainable development of e-learning services from planning and design, organizing e-learning process, maintenance of the e-learning process, to process improvement, as well as to support learners and advisers to effectively complete innovative team study and complex computation study. Lastly, an extended topic map tool has been developed by adding a knowledge requirement level and an information extraction tool to validate the proposed methodology. These tools can used to guide learners to concentrate on the required knowledge topics and drive knowledge providers to redevelop outdated knowledge hierarchy.

Trust Evaluation Model Based on User Trust Cloud and User Capability in E-Learning Service

E-Learning services have become one of important way of education. How to use simple and effective evaluation methods for user trust assessment is the key technical in E-Learning services. This paper presents an evaluation model based on user trust cloud and user capability (TC-UCEM) for trusted E-Learning services, in which user trust cloud approach is proposed to assess user subjective trust, as well as capability matrix method is introduced to assess user objective trust.

A method towards process similarity measurement according to constrained traces

The wide application of Business Process Management has led to the existence of a tremendous amount of process models. Similarity measurement of process models is usually considered a versatile solution to fulfill their effective utilization. Although many researches haves worked on different notions of model similarity, most of them are not precise enough, as there is always a gap between the structural and behavioral similarity measurements and the impacts of some important activities are reduced because of the undifferentiated treatment on traces. To address the problem, in this paper, we introduce a proper metric to quantify process similarity based on constrained trace alignment. It is grounded in the constrained longest common subsequences which can retain the behavior and structure information of the original model and guarantee the priority of some significant parts of a process. The experiment result shows that this method can significantly improve the similarity value and make it more appropriate for practical application.

Proactive Scheduling Optimization of Emergency Rescue Based on Hybrid Genetic-Tabu Optimization Algorithm

With the objective of minimizing rescue loss, the paper is about proactive scheduling optimization. First, an optimization model is proposed. Priorities are assigned based on rescue activitys urgency level, and optimization objective function is constructed. The issue is strongly NP-hard based on which a genetic-tabu heuristic algorithm is designed. Finally an example demonstrates the feasibility and effectiveness of the research. The study can provide decision support for emergency rescue.

An efficient algorithm for crowdsourcing workflow tasks to social networks

Crowdsourcing human tasks to social network helps organizations to mitigate the shortage of skill or expertise in workflow applications. In this paper, a novel crowdsourcing algorithm is proposed for efficient identifying human group in social networks, which addresses the challenge of querying suitable collaborative experts for cross organizational business processes in a prompt and efficient way. The proposed algorithm consists of two querying methods: One is efficiently identifying leader candidates in social network while the other focuses on optimized for interaction costs and labour costs of the expert team. The first method use betweenness centrality based on subgraph connectors that effectively reduce computational cost for ranking the leader candidates. On the other hand, the second method can identify collaborative partners by combining Skyline and precomputed interaction distance from reference points in social graphs. Theoretical analysis and extensive experiments on real and synthetically generated dataset demonstrate the effectiveness and scalability of the proposed methods.

Parallel computing method for complex emergency systems based on multi-objective decision-making with analytic hierarchy process

Complex emergency resource scheduling schemes are essential to improve the quality and efficiency of processes and software services. Despite the effort of many researchers in this direction, there are not yet mechanisms that facilitate collaborative development of resource scheduling decision-making in complex emergency systems. In order to treat these issues, analytic hierarchy process (AHP) is introduced to handle multi-objective decision-making in emergency systems. In the process of collaboration, partition algorithm (PA) is proposed to divide rescue points into different sets. Experimental results have shown the proposed parallel computing method has significantly improved the computational efficiency of emergency resource scheduling schemes.

An Overall Lifecycle Modeling Method for E-Learning Services and the Cooperative Mechanism Based on PCDA

This paper proposes a model, namely eL-PCDA, for overall lifecycle process management on e-Learning service by considering learners behaviours during e-learning services, scheduling policies and monitoring mechanism of learning activities. Business process modeling for e-Learning services can be taken according to the study ordering of the knowledge points by using workflow modeling technology and process enactment mechanism. Overall lifecycle process management of Knowledge is addressed by combining knowledge product modeling, knowledge resource modeling, and credit polices for member selection in research team by considering trust value of learners, advisers and providers in e-Learning services. The proposed method can be used for supporting the sustainable development of e-Learning services from planning and design, organizing e-Learning process, maintenance e-Learning process, to process improvement, as well as to support learners and advisers to effectively complete innovative team study and complex computation study.