Primitives: Design Guidelines and Architecture for BPMN Models

The Business Process Modeling Notation has emerged as a popular choice for representing processes among Business Analysts and Information Systems professionals. While the BPMN specification provides a rich syntax for the capture and representation of process models, it does not provide any guidance for the organization of the resulting models. As a consequence, large process libraries may become disorganized and hard to manage due to variability in abstraction levels, process interfaces, and activity descriptions. Based on the analysis of a process library in a US government agency we present a proposal for design guidelines and use our design guideline to qualitatively assess existing work on model quality guidance. To better organize models at different abstraction levels we propose a process architecture that allows for the systematic organization of BPMN models for different stakeholder concerns

Stratospheric measurement requirements and satellite-borne remote sensing capabilities

The capabilities of specific NASA remote sensing systems to provide appropriate measurements of stratospheric parameters for potential user needs were assessed. This was used to evaluate the capabilities of the remote sensing systems to perform global monitoring of the stratosphere. The following conclusions were reached: (1) The performance of current remote stratospheric sensors, in some cases, compares quite well with identified measurement requirements. Their ability to measure other species has not been demonstrated. (2) None of the current, in-situ methods have the capability to satisfy the requirements for global monitoring and the temporal constraints derived from the users needs portion of the study. (3) Existing, non-remote techniques will continue to play an important role in stratospheric investigations for both corroboration of remotely collected data and in the evolutionary development of future remote sensors

Taking a Byte Out of Abusive Agency Discretion: A Proposal for Disclosure in the Use of Computer Models

This Note examines the need for comprehensive requirements for the release of information pertaining to the use of computer-generated simulations used by federal administrative agencies or parties appearing before regulatory bodies. Part I of this Note defines computer models, identifies some of their current uses in administrative proceedings and describes the advantages of these models. Part II reviews the current requirements for documentation of computer models and the judicial review standards for agency findings. Part III examines the potential problems in the use of models and discusses the need for more adequate disclosure. Part IV describes several tests for verifying the accuracy of models. This Part concludes by suggesting documentation requirements to ensure the most beneficial use of computer models in administrative proceedings

The Electronic Oracle: Computer Models and Social Decisions

This book describes the state of the art of social-system modeling, especially at the level of national planning. In an unusually clear and understandable language it approaches the controversial and often confused debate in the use of computer models in social decision making from an entirely new direction. By looking at the entire subject -- including the political and philosophical environments around the models, as well as the models themselves -- from an objective and knowledgeable viewpoint, the authors show how computer modeling is a powerful but limited tool

The Application of Smart Phone, Weight-Mile Truck Data to Support Freight-Modeling, Performance Measures and Planning

Oregon is one of the few states that currently charge a commercial truck weight-mile tax (WMT). The Oregon Department of Transportation (ODOT) has developed a data-collection system – Truck Road Use Electronics (TRUE) – to simplify WMT collection. The TRUE system includes a smart phone application that collects and records Global Positioning System (GPS) data. The TRUE data has enormous advantages over GPS data used in previous research due to its level of geographic detail and the potential to also integrate trip origin and destination, vehicle class, and commodity-type data. This research evaluates the accuracy of the TRUE data and demonstrates its use for significant ODOT ancillary applications. Specifically, ancillary applications that address ODOT freight modeling, performance measures, and planning needs are explored. The use of the data for highly accurate trip-generation rates and mobility performance measures is demonstrated. In addition, it is shown that the TRUE data has strong potential to be used for safety, accessibility and connectivity, system condition and environmental stewardship performance measures. The potential use of the TRUE data for emissions estimates that take into account truck-type details, truck weight and detailed speed profiles is considered. Results indicate that TRUE data, integrated with ODOT weigh-in-motion (WIM) data, will greatly improve the accuracy of emission estimates at the project and regional level. This research confirms the potential use of the TRUE data for significant ancillary applications and demonstrates the regional value of the TRUE data to enhance existing freight modeling, performance measures and planning

The Effects of Building Information Modeling on Construction Site Productivity

Construction experiences low productivity compared to other industries, largely attributed to poor planning and communication. Building Information Modeling (BIM) is a process that is used to resolve these problems by simulating physical space and expressing design intent graphically, providing a clearer image of design conflicts or constructability issues so that they are resolved before construction begins. Productivity rates increase as BIM practices are implemented because rework and idle time are reduced for laborers. Case studies of projects utilizing BIM indicate field productivity gains from 5 to 40%, depending on how the process is managed. Although the amount of savings is guarded closely by those who measure and track the changes in their productivity rates and unknown to many contractors, there are indicators that reveal increased productivity. Key indicators of increased productivity are RFI reduction, amount of rework, schedule compliance, and change orders due to plan conflicts. Each of these affect the various stakeholders of a project to different degrees but the overall effect is a net savings for the owner ranging from a few percent for competitive bid projects to over 10% for integrated projects. BIM-enabled projects have 10% of the RFI that a typical project would have so that contractors realize an average savings of 9% in management time. Reduction of rework and idle time due to site conflicts savings for trade contractors are on the order of 9% of project costs. The abilities to prefabricate and automate site processes are also significant advantages of BIM usage experienced by trade contractors. The most significant savings are attributed to the clash detection process which eliminates conflicts in the field. These findings show that the strongest determinants of success on BIM projects in terms of site productivity are human factors rather than technical

The new keynesian approach to dynamic general equilibrium modeling: models, methods, and macroeconomic policy evaluation

This chapter aims to provide a hands-on approach to New Keynesian models and their uses for macroeconomic policy analysis. It starts by reviewing the origins of the New Keynesian approach, the key model ingredients and representative models. Building blocks of current-generation dynamic stochastic general equilibrium (DSGE) models are discussed in detail. These models address the famous Lucas critique by deriving behavioral equations systematically from the optimizing and forward-looking decision-making of households and firms subject to well-defined constraints. State-of-the-art methods for solving and estimating such models are reviewed and presented in examples. The chapter goes beyond the mere presentation of the most popular benchmark model by providing a framework for model comparison along with a database that includes a wide variety of macroeconomic models. Thus, it offers a convenient approach for comparing new models to available benchmarks and for investigating whether particular policy recommendations are robust to model uncertainty. Such robustness analysis is illustrated by evaluating the performance of simple monetary policy rules across a range of recently-estimated models including some with financial market imperfections and by reviewing recent comparative findings regarding the magnitude of government spending multipliers. The chapter concludes with a discussion of important objectives for on-going and future research using the New Keynesian framework