33,365 research outputs found

    Generic Supply Chain Management System

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    Supply chain management refers to all the management functions related to the flow of materials from the company’s direct suppliers to its direct customers. In this paper, we will propose a generic supply chain management system, and describe how the system works in terms of information exchange, workflow coordination and flexible logistic route. We will introduce two data models, which are called PDM and WfMS, and explain how to classify the proposed system into them. And then, we will further describe how the back-end three-layered architecture stores the dynamic data type into the database

    Tasks, cognitive agents, and KB-DSS in workflow and process management

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    The purpose of this paper is to propose a nonparametric interest rate term structure model and investigate its implications on term structure dynamics and prices of interest rate derivative securities. The nonparametric spot interest rate process is estimated from the observed short-term interest rates following a robust estimation procedure and the market price of interest rate risk is estimated as implied from the historical term structure data. That is, instead of imposing a priori restrictions on the model, data are allowed to speak for themselves, and at the same time the model retains a parsimonious structure and the computational tractability. The model is implemented using historical Canadian interest rate term structure data. The parametric models with closed form solutions for bond and bond option prices, namely the Vasicek (1977) and CIR (1985) models, are also estimated for comparison purpose. The empirical results not only provide strong evidence that the traditional spot interest rate models and market prices of interest rate risk are severely misspecified but also suggest that different model specifications have significant impact on term structure dynamics and prices of interest rate derivative securities.

    Coupling CAD and CFD codes within a virtual integration platform

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    The Virtual Integration Platform (VIP) is an essential component of the VIRTUE project. It provides a system for combining disparate numerical analysis methods into a simulation environment. The platform allows for defining process chains, allocating of which tools to be used, and assigning users to perform the individual tasks. The platform also manages the data that are imported into or generated within a process, so that a version history of input and output can be evaluated. Within the VIP, a re-usable template for a given process chain can be created. A process chain is composed of one or more smaller tasks. For each of these tasks, a selection of available tools can be allocated. The advanced scripting methods in the VIP use wrappers for managing the individual tools. A wrapper allows communication between the platform and the tool, and passes input and output data as necessary, in most cases without modifying the tool in any way. In this way, third-party tools may also be used without the need for access to source code or special modifications. The included case study demonstrates several advantages of using the integration platform. A parametric propeller design process couples CAD and CFD codes to adapt the propeller to given operating constraints. The VIP template helped eliminate common user errors, and captured enough expert knowledge so that the casual user could perform the given tasks with minimal guidance. Areas of improvements to in-house codes and to the overall process were identified while using the integration platform. Additionally, the process chain was designed to facilitate formal optimisation methods

    Issues in Process Variants Mining

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    In today's dynamic business world economic success of an enterprise increasingly depends on its ability to react to internal and external changes in a quick and flexible way. In response to this need, process-aware information systems (PAIS) emerged, which support the modeling, orchestration and monitoring of business processes and services respectively. Recently, a new generation of flexible PAIS was introduced, which additionally allows for dynamic process and service changes. This, in turn, will lead to a large number of process variants, which are created from the same original process model, but might slightly differ from each other. This paper deals with issues related to the mining of such process variant collections. Our overall goal is to learn from process changes and to merge the resulting model variants into a generic process model in the best possible way. By adopting this generic process model in the PAIS, future cost of process change and need for process adaptations will decrease. Finally, we compare our approach with existing process mining techniques, and show that process variants mining is additionally needed to learn from process changes

    Environments to support collaborative software engineering

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    With increasing globalisation of software production, widespread use of software components, and the need to maintain software systems over long periods of time, there has been a recognition that better support for collaborative working is needed by software engineers. In this paper, two approaches to developing improved system support for collaborative software engineering are described: GENESIS and OPHELIA. As both projects are moving towards industrial trials and eventual publicreleases of their systems, this exercise of comparing and contrasting our approaches has provided the basis for future collaboration between our projects particularly in carrying out comparative studies of our approaches in practical use
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