Economic Evaluation of Food Traceability Systems through Reference Models

Food supply chains complexity present a real challenge to perform economic evaluation of food traceability systems and their innovation/upgrades. In order to perform a supply chain wide economic evaluation a conceptual framework is developed using food traceability reference models. Reference models allow interaction with chain members’ requirements that come from legal and/or customer sources. The paper demonstrates how the requirements will have a definite effect on the costs and design of food traceability systems through the resources they demand. Even though this is a first step into addressing the challenge, more investigation is needed to clarify the boundaries of the two requirements and their economic effects on food traceability systems and their innovations/upgrades.Food traceability, Food traceability systems, Reference models, Economic evaluation., Agribusiness, Agricultural and Food Policy, Farm Management, Food Consumption/Nutrition/Food Safety, Industrial Organization,

Goal-oriented design of value and process models from patterns

This thesis defines a design framework and a method for modelling networked businesses. The intended application domain is electronic businesses that extensively use information and communication technology to coordinate work. The key property of the proposed approach is the reuse of design knowledge in the form of design patterns. Design patterns are extracted from models of existing electronic intermediaries considered successful. These businesses have been reverse-engineered to two types of models: economic value exchange models and business process models. The identified patterns comprise two libraries of value exchange and business process patterns, respectively. Patterns are catalogued with, among others, their context, solved problem, and proposed solution. Most importantly, they are annotated with a machine-readable\ud capability model used as a search key in the library. Capability models are part of the goal-modelling technique for business requirements proposed here. Our goal-modelling technique operationalizes each business goal with a variable and an evaluation function: the evaluation function determines when a measured variable value satisfies the goal. A goal model represents requirements if goals are assigned evaluation functions but the variable values are unknown. In such a case, the goal model specifies what is desired to happen. If, on the other hand, variable values are known, the goal model documents the capabilities of a pattern. The proposed design framework structures the development process into: (1) available design knowledge in libraries of value and process patterns, (2) business requirements captured in a goal model, and (3) economic value and business process perspectives to look at a business system. The design method prescribes steps to transform patterns and requirements into a system specification. These include: (i) identification of relevant pattern based on matching capability and requirements goal models; (ii) synthesis of value and process patterns into value and process models, respectively; and (iii) consistency check procedure for value and process model.\ud The usefulness of the approach is demonstrated in a real-life example, which shows that the framework and method exhibit a predefined set of desired properties

A Personalized Framework for Trust Assessment

The number of computational trust models has been increasing quickly in recent years yet their applications for automating trust evaluation are still limited. The main obstacle is the difficulties in selecting a suitable trust model and adapting it for particular trust modeling requirements, which varies greatly due to the subjectivity of human trust. The Personalized Trust Framework (PTF) presented in this paper aims to address this problem by providing a mechanism for human users to capture their trust evaluation process in order for it to be replicated by computers. In more details, a user can specify how he selects a trust model based on information about the subject whose trustworthiness he needs to evaluate and how that trust model is configured. This trust evaluation process is then automated by the PTF making use of the trust models flexibly plugged into the PTF by the user. By so doing, the PTF enable users reuse and personalize existing trust models to suit their requirements without having to reprogram those models

The Fire and Smoke Model Evaluation Experiment—A Plan for Integrated, Large Fire–Atmosphere Field Campaigns

The Fire and Smoke Model Evaluation Experiment (FASMEE) is designed to collect integrated observations from large wildland fires and provide evaluation datasets for new models and operational systems. Wildland fire, smoke dispersion, and atmospheric chemistry models have become more sophisticated, and next-generation operational models will require evaluation datasets that are coordinated and comprehensive for their evaluation and advancement. Integrated measurements are required, including ground-based observations of fuels and fire behavior, estimates of fire-emitted heat and emissions fluxes, and observations of near-source micrometeorology, plume properties, smoke dispersion, and atmospheric chemistry. To address these requirements the FASMEE campaign design includes a study plan to guide the suite of required measurements in forested sites representative of many prescribed burning programs in the southeastern United States and increasingly common high-intensity fires in the western United States. Here we provide an overview of the proposed experiment and recommendations for key measurements. The FASMEE study provides a template for additional large-scale experimental campaigns to advance fire science and operational fire and smoke models

PLU-E: a proposed framework for planning and conducting evaluation studies with children.

While many models exist to support the design process of a software development project, the evaluation process is far less well defined and this lack of definition often leads to poorly designed evaluations, or the use of the wrong evaluation method. Evaluations of products for children can be especially complex as they need to consider the different requirements and aims that such a product may have, and often use new or developing evaluation methods. This paper takes the view that evaluations should be planned from the start of a project in order to yield the best results, and proposes a framework to facilitate this. This framework is particularly intended to support the varied and often conflicting requirements of a product designed for children, as defined by the PLU model, but could be adapted for other user groups

Regulatory Evaluation of Value-at-Risk Models

Value-at-risk (VaR) models have been accepted by banking regulators as tools for setting capital requirements for market risk exposure. Three statistical methodologies for evaluating the accuracy of such models are examined; specifically, evaluation based on the binomial distribution, interval forecast evaluation as proposed by Christoffersen (1995), and distribution forecast evaluation as proposed by Crnkovic and Drachman (1995). These methodologies test whether the VaR forecasts in question exhibit properties characteristic of accurate VaR forecasts. However, the statistical tests used often have low power against alternative models. A new evaluation methodology, based on the probability forecasting framework discussed by Lopez (1995), is proposed. This methodology gauges the accuracy of VaR models using forecast evaluation techniques. It is argued that this methodology provides users, such as regulatory agencies, with greater flexibility to tailor the evaluations to their particular interests by defining the appropriate loss function. Simulation results indicate that this methodology is clearly capable of differentiating among accurate and alternative VaR models. This paper was presented at the Financial Institutions Center's October 1996 conference on "

Managing strategy through business process

The work presented in this paper, following an in depth review of literature, developed a set of requirements for a Dynamic Strategy Management Process. Having evaluated the existing strategy management frameworks, models, methodologies, tools and techniques, the research concluded that although all approaches reviewed collectively met all the requirements, individually none of the approaches fulfilled all of these requirements. To fulfil these dynamic strategy management process requirements, PROPHESY (Process Oriented Performance Headed Strategy) was developed. The paper describes in some detail, the evaluation of the PROPHESY process and demonstrates its application through a case study. The paper concludes that strategy should focus on creating value that is independent for each business unit. This means developing horizontal strategies that have objectives of co-ordinating business processes and developing objectives that encourage the sharing of resources and skills