跨企业的流程智能

随着企业电子商务的发展，企业之间的合作日益紧密，而分散的流程管理系统影响了企业之间协作的效率。为加速企业之间的流程集成，BPM将朝着更大范围的跨企业的流程智能的方向发展[31]。

跨企业的流程智能通过挖掘供应链中各个企业运营的分布式流程日志，分析企业之间的协作模式，发现协作中的问题，优化整个供应链流程的质量。例如，Zeng等根据企业协作中资源和信息的流动特征，分析了跨企业协作的基本模式[32]。按照不同的协作模式将这些基本模式合并得到企业之间的整体流程协作模型，可避免企业流程运行相关数据隐私泄露的问题，促进流程协作中有效的资源分配和信息共享。

跨企业的流程智能借助企业之间的BPM集成，改善流程协作的质量。例如，企业之间通过建立电子数据交换（electronic data interchange，EDI）系统、共享云平台等途径，实现流程协作信息的实时共享，促进供应链的整体运营效率和绩效水平。

跨企业的流程集成将带动物流等相关行业的技术革新，极大提高企业之间的流程协作水平。例如，在物流行业，供应商、电商、物流提供商通过共享智慧物流云平台的方式，对跨企业的供应链流程管理进行整合，可以提升整个服务流程的质量和智能化水平。电商通过与供应商分享客户的商品需求信息，指导生产商面向客户进行产品设计和生产。订单、配送信息通过云平台在整个供应链相关方共享，优化物流提供商的库存管理和配送流程，从而帮助整个物流系统更加精准地预测市场的需求，降低物流管理的成本，实现跨区域的物流与供应链协作整合，最终提高整个供应链流程的运营效率，为客户提供快捷、高效的购物体验。

参考文献

[1]赵卫东.流程智能.北京：清华大学出版社，2012

[2]Van der Aalst W M P.Business process management：a comprehensive survey.ISRN Software Engineering，http：//dx.doi.org/10.1155/2013/ 507984，2013 [3]Van der Aalst W M P，Adriansyah A，Medeiros A K A，et al.Process mining manifesto.Proceedings of the International Conference on Business Process Management，Clermont-Ferrand，France，2011：169-194

[4]叶岩明，尹建伟，曹斌.基于流程规整矩阵的流程推荐技术.计算机集成制造系统，2013，19（8）：1868-1875

[5]Szimanski F，Ralha C G，Wagner G，et al.Improving business process models with agent-based simulation and process mining.Proceedings of the 14th International Conference on EMMSAD，Valencia，Spain，2013：124-138

[6]Song M，Van der Aalst W M P.Towards comprehensive support for organizational mining.Decision Support Systems，2008，46（1）：300-317

[8]Conforti R，Leoni M，La Rosa M，et al.Supporting risk-informed decisions during business process execution.Proceedings of the 25th International Conference on CAiSE3，Valencia，Spain，2013：116-132

[9]Kang D，Park Y.Measuring customer satisfaction of service based on an analysis of the user generated contents：sentiment analysis and aggregating function based MCDM approach.Proceedings of IEEE International Conference on Management of Innovation and Technology，Bali，Indonesia，2012：244-249

[10]Zur Mühlen M，Shapiro R.Business process analytics.Handbook on Business Process Management 2：Strategic Alignment，Governance，People and Culture.Berlin Heidelberg：Springer，2010：137-157

[11]Bautista A D，Wangikar L.Process mining driven optimization of a consumer loan approvals process.Technical Report，http：//ckmnet.co/ pages/BPIC_2012_CKM_Advisors.pdf，2012

[12]Subramaniam S，Kalogeraki V，Gunopulos D，et al.Improving process models by discovering decision points.Information Systems，2007，32 （7）：1037-1055

[13]Ferreira D R，Alves C.Discovering user communities in large event logs. Proceedings of the International Conference on Business Process Management，Clermont-Ferrand，France，2012：123-134

[14]Nakatumba J，Van der Aalst W M P.Analyzing resource behavior using process mining.Proceedings of the International Conference on Business Process Management，Ulm，Germany，2010，43：69-80

[15]Vanderfeesten I，Reijers H A，Van der Aalst W M P.Evaluating workflow process designs using cohesion and coupling metrics. Computers in Industry，2008，59（5）：420-437

[16]Conforti R，Fortino G，La Rosa M，et al.History-aware，real-time risk detection in business processes.Proceedings of the Confederated International Conferences on the Move to Meaningful Internet Systems，Crete，Greece，2011：100-118

[17]Hong S，Lee Y，Kim J，et al.A methodology for redesign an organizational structure based on business process models using SNA techniques.International Journal of Innovative Computing Information and Control，2012，8（7）：5411-5424

[18]Buijs JC A M，Van Dongen B F，Van der Aalst W M P.Towards crossorganizational process mining in collections of process models and their executions.Proceedings of the International Conference on Business Process Management，Clermont-Ferrand，France，2012：2-13

[19]Rinderle S，Van der Aalst W M P.Life-cycle support for staff assignment rules in process-aware information systems.Working Paper，Department of Technology Management，Eindhoven University of Technology，Eindhoven，2007

[20]Van Dongen B F，Crooy R A，Van der Aalst W M P.Cycle time prediction：when will this case finally be finished？Proceedings of the Confederated International Conferences on the Move to Meaningful Internet Systems，Monterrey，Mexico，2008：319-336

[21]Folino F，Guarascio M，Pontieri L.Discovering context-aware models for predicting business process performances.Proceedings of the Confederated International Conferences on the Move to Meaningful Internet Systems，Rome，Italy，2012：287-304

[22]Huang Z，Lu X，Duan H.Mining association rules to support resource allocation in business process management.Expert Systems with Applications，2011，38（8）：9483-9490

[23]Koschmider A，Oberweis A.Designing business processes with a recommendation-based editor.Handbook on Business Process Management.Springer Berlin Heidelberg，2010：299-312

[24]Gao X.Towards the next generation intelligent BPM-in the era of big data.Proceedings of the 11th International Conference on Business Process Management，Beijing，China，2013，8094：4-9

[25]新一代流程银行白皮书.ftp：//ftp.software.ibm.com/software/cn/ downloads/pdfs/IBMBPMxydlc.pdf，2013

[26]Baeyens T.BPM in the cloud.Proceedings of the 11th International Conference on Business Process Management，Beijing，China，2013：10-16

[27]Poulymenopoulou M，Malamateniou F，Vassilacopoulos G.Emergency healthcare process automation using mobile computing and cloud services.Journal of medical systems，2012，36（5）：3233-3241

[28]Schmidt R，Nurcan S.BPM and social software.Proceedings of the International Conference on Business Process Management，Milano，Italy，2009：649-658

[29]Mathiesen P，Watson J，Bandara W，et al.Applying social technology to business process lifecycle management.Proceedings of the International Conference on Business Process Management，Clermont-Ferrand，France，2012：231-241

[30]Neumann G，Erol S.From a social wiki to a social workflow system. Proceedings of the International Conference on Business Process Management，Milano，Italy，2009：698-708

[31]赵卫东.电子商务模式.第二版.上海：复旦大学出版社，2012

[32]Zeng Q，Sun S X，Duan H，et al.Cross-organizational collaborative workflow mining from a multi-source log.Decision Support Systems，2012，54（3）：1280-1301