Suchergebnisse

Aiming to be as competitive as possible, organisations are always pursuing to improve their business processes applying corrective actions when needed. However, the actual analysis and decision mak ing for those actions is typically a challenging task relying on extensive human-in-the-loop expertise. Specifically, this improvement process usu ally involves: (i) to analyse evidences to understand the current behav ior; (ii) to decide the actual objectives (usually defined in Service Level Agreements -SLAs- based on intuition) and (iii) to establish the im provement plan. In this ongoing work, we aim to propose a data-driven and intuition-free methodology to define an SLA as a governance ele ment that specifies the service level objectives in an explicit way. Such a methodology considers process performance indicators that are analysed by means of inference, optimization, and simulation techniques. In order to motivate and exemplify our work we address a Healthcare scenario. ; European Union Horizon 2020 No. 645751 (RISE BPM) ; Ministerio de Economía y Competitividad BELI (TIN2015-70560-R) ; Junta de Andalucía P12-TIC-1867 ; National Research Foundation of Korea (No.NRF-2014K1A3A7A030737007)

In a changing and competitive business world, business processes are at the heart of modern organizations. In some cases, service level agreements (SLAs) are used to regulate how these business processes are provided. This is usually the case when the business process is outsourced, and some guarantees about how the outsourcing service is provided are required. Although some work has been done concerning the structure of SLAs for business processes, the definition of service level objectives (SLOs) remains a manual task performed by experts based on their previous knowledge and intuition. Therefore, an evidence-based approach that curtails humans involvement is required for the definition of realistic while challenging SLOs. This is the purpose of this paper, where performance-focused process mining, goal programming optimization techniques, and simulation techniques have been availed to implement an evidence-based framework for the definition of SLAs. Furthermore, the applicability of the proposed framework has been evaluated in a case study carried out in a hospital scenario. ; European Union Horizon 2020 No. 645751 (RISE BPM) ; Ministerio de Economía y Competitividad BELI (TIN2015-70560-R) ; Junta de Andalucía P12-TIC-1867

Business Process Management is a boundary spanning discipline that aligns operational capabilities and technology to design and manage business processes. The Digital Transformation has enabled human actors, infor mation systems, and smart products to interact with each other via multiple digital channels. The emergence of this hyper-connected world greatly leverages the prospects of business processes – but also boosts their complexity to a new level. We need to discuss how the BPM discipline can find new ways for identifying, analyzing, designing, implementing, executing, and monitoring business pro cesses. In this research note, selected transformative trends are explored and their impact on current theories and IT artifacts in the BPM discipline is discussed to stimulate transformative thinking and prospective research in this field ; European Union Horizon 2020 No. 645751 (RISE BPM)