Process modeling is an indispensable task in the discipline of Business Process Management. The process models created in this task help its readers in to acquiring a higher comprehension of a process, allowing for the discovery of opportunities for its improvement. However, the comprehension of a process model is not guaranteed, as process modeling is a complex task that depends on the proficiency of the process modeler to avoid the creation of badly designed constructs. Process modeling guidelines are an essential tool in this regard, though they are dispersed across the many studies of the literature and not all of them have empirical evidence validating their effects. In addition to this problem, it is still an open questions if a set of process modeling guidelines makes the process modeling task more challenging and how effective modelers are in using them. It is also unclear how receptive process analysts are to the modeling guidelines. This dissertation presents a systematic literature review we conducted to collect and analyze the modeling guidelines found in the literature. It investigated a total of 520 articles, extracting a total of 45 modeling guidelines spread across 4 different categories. These 45 guidelines were simplified into a set of 20 guidelines, based on their significance to create more comprehensible process models and their practicality. This dissertation also presents the findings of an empirical experiment performed by 13 subjects that compared the results of two process modeling tasks with and without the support of the 20 modeling guidelines presented by the review, in which it was possible to observe that the subjects recognize the usefulness of the guidelines, but find them difficult to understand and use.

Process and data are equally important for business process management. Process data is especially relevant in the context of automated business processes, process controlling, and representation of organizations' core assets. One can discover many process modeling languages, each having a specific set of data modeling capabilities and the level of data awareness. The level of data awareness and data modeling capabilities vary significantly from one language to another. This paper evaluates several process modeling languages with respect to the role of data. To find a common ground for comparison, we develop a framework, which systematically organizes process- and data-related aspects of the modeling languages elaborating on the data aspects. Once the framework is in place, we compare twelve process modeling languages against it. We generalize the results of the comparison and identify clusters of similar languages with respect to data awareness. / Prozesse und Daten sind gleichermaßen wichtig für das Geschäftsprozessmanagement. Prozessdaten sind dabei insbesondere im Kontext der Automatisierung von Geschäftsprozessen, dem Prozesscontrolling und der Repräsentation der Vermögensgegenstände von Organisationen relevant. Es existieren viele Prozessmodellierungssprachen, von denen jede die Darstellung von Daten durch eine fest spezifizierte Menge an Modellierungskonstrukten ermöglicht. Allerdings unterscheiden sich diese Darstellungenund damit der Grad der Datenmodellierung stark untereinander. Dieser Report evaluiert verschiedene Prozessmodellierungssprachen bezüglich der Unterstützung von Datenmodellierung. Als einheitliche Grundlage entwickeln wir ein Framework, welches prozess- und datenrelevante Aspekte systematisch organisiert. Die Kriterien legen dabei das Hauptaugenmerk auf die datenrelevanten Aspekte. Nach Einführung des Frameworks vergleichen wir zwölf Prozessmodellierungssprachen gegen dieses. Wir generalisieren die Erkenntnisse aus den Vergleichen und identifizieren Cluster bezüglich des Grades der Datenmodellierung, in welche die einzelnen Sprachen eingeordnet werden.

Process modeling is an indispensable task in the discipline of Business Process Management. The process models created in this task help its readers in to acquiring a higher comprehension of a process, allowing for the discovery of opportunities for its improvement. However, the comprehension of a process model is not guaranteed, as process modeling is a complex task that depends on the proficiency of the process modeler to avoid the creation of badly designed constructs. Process modeling guidelines are an essential tool in this regard, though they are dispersed across the many studies of the literature and not all of them have empirical evidence validating their effects. In addition to this problem, it is still an open questions if a set of process modeling guidelines makes the process modeling task more challenging and how effective modelers are in using them. It is also unclear how receptive process analysts are to the modeling guidelines. This dissertation presents a systematic literature review we conducted to collect and analyze the modeling guidelines found in the literature. It investigated a total of 520 articles, extracting a total of 45 modeling guidelines spread across 4 different categories. These 45 guidelines were simplified into a set of 20 guidelines, based on their significance to create more comprehensible process models and their practicality. This dissertation also presents the findings of an empirical experiment performed by 13 subjects that compared the results of two process modeling tasks with and without the support of the 20 modeling guidelines presented by the review, in which it was possible to observe that the subjects recognize the usefulness of the guidelines, but find them difficult to understand and use.

Process modeling is an indispensable task in the discipline of Business Process Management. The process models created in this task help its readers in to acquiring a higher comprehension of a process, allowing for the discovery of opportunities for its improvement. However, the comprehension of a process model is not guaranteed, as process modeling is a complex task that depends on the proficiency of the process modeler to avoid the creation of badly designed constructs. Process modeling guidelines are an essential tool in this regard, though they are dispersed across the many studies of the literature and not all of them have empirical evidence validating their effects. In addition to this problem, it is still an open questions if a set of process modeling guidelines makes the process modeling task more challenging and how effective modelers are in using them. It is also unclear how receptive process analysts are to the modeling guidelines. This dissertation presents a systematic literature review we conducted to collect and analyze the modeling guidelines found in the literature. It investigated a total of 520 articles, extracting a total of 45 modeling guidelines spread across 4 different categories. These 45 guidelines were simplified into a set of 20 guidelines, based on their significance to create more comprehensible process models and their practicality. This dissertation also presents the findings of an empirical experiment performed by 13 subjects that compared the results of two process modeling tasks with and without the support of the 20 modeling guidelines presented by the review, in which it was possible to observe that the subjects recognize the usefulness of the guidelines, but find them difficult to understand and use.

The thesis is focused on optimizing business processes based on process analysis in connection with a particular company in the segment of small businesses. The goal is optimization of selected major processes of KSB Ltd. The theoretical part explains the difference between procedural and operational procedures, describes the basic methods of process modeling, process modeling standards and selection of appropriate methods for the practical part, with regard to the character of the company KSB Ltd. In the practical part is compiled process analysis of the company and design changes of processes by modifying the methods of the modeling and optimization.

The subject of the thesis is an process analysis in the company AiP Safe, Ltd. First, theoretical approaches and methods for organization and business process analysis are summarized. The best known modeling notations are also described. For the analysis of AiP Safe, Ltd. was chosen BSP method and for process modeling was chosen BPMN notation. The result of the work is a suggestion to establish strategic goals and strategies to achieve them, change in the organizational structure, optimization of selected processes, introduction of new metrics, introduction of new information system and recommendations based on the SWOT analysis.

Most organizations have traditionally been organized by function, and most coordination is intrafunctional rather than interfunctional. However, many organizations are finding that they must also manage processes - such as order fulfillment, new product development, and interorganizational supply chain management - that span their separate functional units and that integrate their activities with those of other organizations. These processes are essential to the well-being of organizations in a dynamic competitive environment.In response to this, organizations are deploying large-scale enterprise information systems in order to support operational, tactical, and strategic decision making, along with information management. However, deployment of such information systems has not realized the requisite benefits due to issues such as lack of interoperability among applications due to technological evolution, constant changes to the business processes, evolving organizational structures, inherent complexity in management of distributed knowledge and resources.To ameliorate such issues, a recent technological trend is the adoption of support tools such as Workflow Management Systems (WFMS) and groupware to support coordination between individual and group knowledge worker activities respectively. While WFMSs mostly deal with tasks involving very structured information, groupware tools deal with tasks involving unstructured information. Due to these differences, such tools are used in a fragmented manner, causing information loss. The overall guiding design principles that can be used by such process support systems are minimal, resulting in costly overheads for organizations.This dissertation deals with the problems highlighted above from a organizational process design standpoint. The goal of the dissertation is to provide process designers with guidelines and tools that can assist them in modeling flexible and adaptable processes. The following two research questions are central to the work described in this dissertation: (1) How can organizational processes be designed to be flexible andadaptable in dynamic environments? (2) How can collaborative activities be designed to facilitate integration with individual activities in organizational processes?In this regard, this dissertation reports on the development of a conceptual framework to support design of organizational processes considering both individual and collaboration tasks in a unified manner. A business process is modeled as a problem solving mechanism consisting of a series of steps (also termed as process model, process definition or plan), each of which may be an individual or group activity. The task of designing business processes is considered as the development of an effective plan to solve a business process problem by searching the design space. We employ declarative formalisms from recent advances in Artificial Intelligence (AI) planning to support the task of process design. Similarly, we build on research in the field of Collaboration Engineering (CE), to propose an approach for collaborative task design. The feasibility and benefits of the approach are evaluated by prototyping intelligent build time tools for process design, and utilizing the same in the design of processes such as loan processing, and new drug discovery.

Made available in DSpace on 2016-04-29T14:22:50Z (GMT). No. of bitstreams: 1 Daniele Chrusciak Szilagyi.pdf: 1135705 bytes, checksum: ef6303fbcf216566010623d9c6dc52fc (MD5) Previous issue date: 2010-10-29 / Considering that all organizations have a purpose, which involves services performing or products generation its necessary understanding and establishing the activities set needed to accomplish this goal. This activity set is known as process. The process modeling appear as an opportunity to improve these processes before being automatized, proportionating the analysis and the redesign of them, identifying and correcting their fails, redundancies and bottlenecks. This work presents the importance of the business process modeling technique in order to aid the correct understanding of the customer business process. It will be presented the benefits and advantages of business process modeling notation BPMN, in comparison with the business modeling from UML / Levando em consideração que toda organização possui um propósito, o qual envolve a prestação de serviços ou produção de mercadorias é necessário entender e estabelecer o conjunto de atividades necessárias para cumprir esta meta. Este conjunto de atividades é chamado de processo. A modelagem de processos mostra-se como oportunidade para melhorar tais processos antes de informatizá-los, proporcionando a análise e o redesenho dos mesmos, identificando e corrigindo suas falhas, redundâncias e gargalos. Este trabalho apresenta a importância da técnica de Modelagem de Processos de Negócio para auxiliar o correto entendimento dos processos de negócio do cliente. Serão apresentados os benefícios e vantagens da notação de modelagem de processos de negócio BPMN, em comparação com a notação de Modelagem de Negócio da UML

An overview is provided of materials and processes research currently being conducted in support of MEMS device design at MIT. Underpinning research is being conducted in five areas: room temperature strength characterization, elevated temperature strength characterization, processing of Si/SiC hybrid structures, modeling of wafer bonding processes and development of high temperature fluid interconnections. Emphasis is placed on the key areas of materials science and engineering. / Singapore-MIT Alliance (SMA)

Introduction: with the expanded application of ERP system, business process model-ing, as an essential part of the ERP system implementation, has already attracted in-creasingly attention from the organizations. However, even though with the great signif-icance, there is no specific guideline to indicate the key factors of a business process modeling within the ERP system implementation context, especially from the supplier, customer and consultancy point of view. Accordingly, the authors are interested in the following two research questions:1. What are the factors that ERP customer. Supplier and consultancy focused on when they do business process modeling for an ERP implementation?2. How these factors are ranked and viewed by ERP customers, suppliers and con-sultants?Purpose: This study is an exploratory study aiming at identifying improvement factors for business process modeling within the context of ERP system implementation. addi-tionally, the authors seek to identify the diverse attitudes from the parties involved in the process of ERP implantation, that are supplier, customer and consultancy, towards the significance level of the improvement factors.Method: This research has adopted an inductive approach due to the nature of its re-search questions. Besides, data has been collected through six interviews in in total. And each supplier, consultancy, customer party has been conducted two interviews respec-tively. The six interview companies are with different cultural background. Additionally, secondary data from books, magazines are obtained through documentation as well.Conclusion: The thesis main results show that there are five improvement factors con-cerning the business process modeling within ERP system implementation, involving correctness, clarity, resource efficiency, cultural specification and relevance. Based upon the suppliers, consultancies and customers points of view, correctness, clarity and cul-tural specification can be categorized into basic factors and resource efficiency, rele-vance are grouped as optional factors. Furthermore, from the customers perspective, correctness and clarity ranks at the top two places among those five factors, while con-sultants focus on correctness and resource efficiency first. Besides, suppliers regard cor-rectness as the most fundamental improvement factors for business process modeling.