131,563 research outputs found

    The strategy and realization of enterprise integration

    Full text link
    University of Technology, Sydney. Faculty of Information Technology.In recent years we have experienced exponential growth in business innovation. emerging technology, and integration complexity. With this unprecedented growth, the priority of enterprise integration has shifted from patching solutions to the governance of agility. Enterprise integration mainly deals with interoperability between virtual and physical worlds, which is thorny by its very nature. In order to cope with rising complexity, interference coherence between business, service. and physical components is crucial. Instead of consolidation from fragmentation, an iteration approach is taken in driving concept and strategy into realization. The empirical statistics indicate that the anatomy of ontological research is essential for producing an overview of interoperability. The author's numerous research projects demonstrate a number of factors critical in generating higher productivity and lower risk. These factors include a higher visibility of atomic elements. a well-specified service, and a precise architectural alignment. By taking these successful factors into realization, this thesis proposes enterprise vertical integration, employing a three-step strategy of componentization, transformation, and virtualization. Componentization derives an ontology of atomic elements for the service-based foundation. In transformation. service components are produced from these raw elements, using a multi-discipline and three-dimensional approach to achieve component synthesis. The final step, virtualization, is the objective of enterprise integration. Virtualization establishes the enterprise skeleton and achieves a common-service mainstream in the industry. Experiential evidence indicates that this higher-level, three-step approach works effectively in minimizing risk and increasing productivity. There is particular benefit for projects of higher complexity and larger scale. Given the incessant business change inherent in our chaotic new age of computing, the three-step approach relies on a new framework to streamline realization and cope with project complexity. A Method, Evaluation, Techniques, and Application (META) framework addresses the interference between virtual and physical layers. In this initial process it develops component validation, analysis processes, and synthesis techniques for service transformation. It then develops service components and common services for service virtualization. This thesis proposes a four-pillared approach to support the META framework. It also proposes sub-area concepts such as "pattern" and "state" to enhance the capability of the framework before moving it into the industry mainstream. This thesis distinguishes itself from existing literature in that very few studies in this field address real enterprise-scale integration. None of the reviewed literature copes with the fundamental work of enterprise issues such as ontological research or high-level strategy as proposed by this thesis

    Automatic Configuration of Queueing Network Models from Business Process Descriptions

    Get PDF
    The purpose of this study was to develop a transformation scheme for automatic configuration of queueing network models from business process descriptions. Such a transformation scheme would enable queueing analysis of process models within an enterprise modeling framework, which is theory driven and links business process descriptions with formal qualitative and quantitative analyses in an integrated manner. A framework of this kind is suitable for next generation enterprises such as e-businesses, virtual enterprises, and global supply chains. The aim of this research was to extend the analysis capability of such an enterprise modeling framework. The transformation scheme uses the process control flow and task resource requirements to create a view where activities belonging to one or more process instances flow through a network of resources. Two alternative approaches were explored to automatically configure a queueing network model from a business process description. The first approach called the single-step approach generates a queueing network model from a business process markup language description. The second approach called the multi-step approach generates a queueing network model from a formal Petri-net based business process representation, which is described using the Petri Net Markup Language (PNML). An XML-based interchange format, called the Queueing Network Markup Language (QNML), was developed as part of this research effort to store queueing network descriptions. As a proof of concept, the transformation scheme was implemented as part of the DIME framework, developed at the Center for Computer Integrated Manufacturing Enterprises, Oklahoma State University. The DIME framework was a result of research funded by the National Science Foundation through grant # DMI-0075588, under the Scalable Enterprise Systems Initiative. Two feasible approaches were developed to automatically configure queueing network models from business process descriptions. This research also led to the development of QNML, a Queueing Network Markup Language, which is a XML-based format to describe queueing network models. This work has also enabled the queueing analysis capability within the DIME framework.Industrial Engineering & Managemen

    Information Technology Governance Design in DevOps-Based E-Marketplace Companies Using COBIT 2019 Framework

    Get PDF
    The E-Marketplace system is a digital place where sellers and buyers meet virtually, and transactions can be processed safely. E-Marketplace companies are oriented toward consumer-centric products and services and operate and have 24/7 non-stop transaction activities. E-Marketplace system development has become the digital transformation in Information Technology (IT) governance that meets the requirements of a system-based automated control with the application of DevOps principles. This study uses a mixed method approach through questionnaires, interviews, expert judgment, and relevant literature reviews related to the e-Marketplace system and IT governance concepts using the COBIT 2019 framework, which has 11 design factors with 40 IT processes to obtain the most appropriate governance model for e-Marketplace companies. The results were obtained in the form of 6 (six) methods in the IT governance model using the DevOps approach, namely the APO03 – Managed Enterprise Architecture, APO04 – Managed Innovation, BAI04 – Managed Availability and Capacity, BAI06 – Managed IT Changes, BAI11 – Managed Projects, and DSS03 – Managed Problems with a score ≥ 75 and the capability level target is at level 4.The E-Marketplace system is a digital place where sellers and buyers meet virtually, and transactions can be processed safely. E-Marketplace companies are oriented toward consumer-centric products and services and operate and have 24/7 non-stop transaction activities. E-Marketplace system development has become the digital transformation in Information Technology (IT) governance that meets the requirements of a system-based automated control with the application of DevOps principles. This study uses a mixed method approach through questionnaires, interviews, expert judgment, and relevant literature reviews related to the e-Marketplace system and IT governance concepts using the COBIT 2019 framework, which has 11 design factors with 40 IT processes to obtain the most appropriate governance model for e-Marketplace companies. The results were obtained in the form of 6 (six) methods in the IT governance model using the DevOps approach, namely the APO03 – Managed Enterprise Architecture, APO04 – Managed Innovation, BAI04 – Managed Availability and Capacity, BAI06 – Managed IT Changes, BAI11 – Managed Projects, and DSS03 – Managed Problems with a score ≥ 75 and the capability level target is at level 4

    Activating supply chain business models' value potentials through Systems Engineering

    Get PDF
    New business opportunities, driven by smart digitalization technology and initiatives such as Industry 4.0, significantly change business models and their innovation rate. The complexity of methodologies developed in recent decades for balancing exploration and exploitation activities of digital transformation has risen. Still, the desired integration levels across organizational levels were often not reached. Systems thinking promises to holistically consider interdisciplinary relationships and objectives of various stakeholders across supply chain ecosystems. Systems theory-based concepts can simultaneously improve value identification and aligned transformation among supply networks' organizational and technical domains. Hence, the study proposes synthesizing management science concepts such as strategic alignment with enterprise architecture concepts and artificial intelligence (AI)-driven business process optimization to increase innovation productivity and master the increasing rate of business dynamics at the same time. Based on a critical review, the study explores concepts for innovation, transformation, and alignment in the context of Industry 4.0. The essence has been compiled into a systems engineering-driven framework for agile value generation on operational processes and high-order capability levels. The approach improves visibility for orchestrating sustainable value flows and transformation activities by considering the ambidexterity of exploring and exploiting activities and the viability of supply chain systems and sub-systems. Finally, the study demonstrates the need to harmonize these concepts into a concise methodology and taxonomy for digital supply chain engineering.OA-hybri

    Digital maturity variables and their impact on the enterprise architecture layers

    Get PDF
    This study examines the variables of digital maturity of companies. The framework for enterprise architectures Archimate 3.0 is used to compare the variables. The variables are assigned to the six layers of architecture: Strategy, Business Environment, Applications, Technology, Physical and Implementation and Migration. On the basis of a literature overview, 15 “digital maturity models” with a total of 147 variables are analyzed. The databases Scopus, EBSCO – Business Source Premier and ProQuest are used for this purpose

    Innovation Capacity of Enterprises – Selected Issues

    Get PDF
    Artykuł poświęcony jest przeglądowi literatury naukowej dotyczącej pojęć i obszarów oraz specyfiki zdolności innowacyjnej przedsiębiorstw. W drugim punkcie artykułu omówiono pojęcie oraz rodzaje zdolności innowacyjnej przedsiębiorstw. Zdolność innowacyjna przedstawiana jest w literaturze naukowej jako koncepcja złożona, wieloczynnikowa i wieloobszarowa, obejmująca wiele przyczyn o charakterze wewnętrznych i zewnętrznym organizacji, ze szczególną rolą dynamicznych zdolności, które umożliwiają zarówno podejmowanie innowacji o danym charakterze i skali, jak i ich efektywną realizację. W trzecim skoncentrowano się na wybranych zagadnieniach związanych ze specyfiką kształtowania zdolności innowacyjnej, a w szczególności: motywach, modelach i strategiach kształtowania zdolności innowacyjnej w zależności od cyklu życia produktu, charakteru innowacji, roli przedsiębiorczości w kształtowaniu zdolności innowacyjnej przedsiębiorstw. Czynniki te mogą mieć różny wpływ na wynik innowacji, zwłaszcza gdy są rozpatrywane w izolacji lub w różnych częściach organizacji bez uwzględnienia synergicznych relacji między nimi

    Decision-focussed resource modelling for design decision support

    Get PDF
    Resource management including resource allocation, levelling, configuration and monitoring has been recognised as critical to design decision making. It has received increasing research interests in recent years. Different definitions, models and systems have been developed and published in literature. One common issue with existing research is that the resource modelling has focussed on the information view of resources. A few acknowledged the importance of resource capability to design management, but none has addressed the evaluation analysis of resource fitness to effectively support design decisions. This paper proposes a decision-focused resource model framework that addresses the combination of resource evaluation with resource information from multiple perspectives. A resource management system constructed on the resource model framework can provide functions for design engineers to efficiently search and retrieve the best fit resources (based on the evaluation results) to meet decision requirements. Thus, the system has the potential to provide improved decision making performance compared with existing resource management systems
    corecore