A Framework to Assess the Impacts of Jointness
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This paper defines a framework to represent organizational and technical architectures and to quantitatively assess the complexity mechanisms within them. The framework is then applied to the case of the NPOESS program and used to illustrate the relationship between complexity, cost growth, and the concept of jointness.Cite
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Conceptual framework
Pyramid (geometry)
Positivism
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Purpose The purpose of this paper is to investigate and propose a framework for environmental impact assessment of packaging material being used to package a product. Design/methodology/approach The research considers parameters identified in the literature by the use of “Delphi Technique”. Based on available data, methods of measurement of the parameters are carried out. Furthermore, a metrics is proposed for measurement of environmental impact. Based on the metrics, the research proposes a framework for environmental impact assessment by use of Dominic’s method. The research validates the proposed framework through Pahl and Beitz method. Findings The proposed framework establishes a metrics for measurement of 16 parameters for environmental impact assessment. The framework can be used to compare a set of alternate packaging material for the same product for its environmental impact. The framework also provides a quantitative measure of the environmental impact assessment of a product packaging. Research limitations/implications The research can be used to evaluate a packaging as compared to its alternate. It can also be used to propose suggestions for improving the environmental impact of packaging in comparison to its alternate. Practical implications The data considered for establishing of metrics for measurement of parameters for environmental impact may not be available in all practical situations in the similar way as considered in the research. Originality/value This paper proposes a framework for environmental impact assessment for product packaging considering data in the Indian scenario.
Delphi Method
Impact assessment
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This paper aims to propose a methodology for evaluating information system success. It is based on two main fields, which are formal concept analysis and multi criteria decision-making methods. A framework whose main objective is to visualize the synchronization between company processes and information system indicators via process mapping and formal concept analysis exploited the methodology. Moreover, owing to the application of multi criteria decision-making methods, we can rank the information system among the others system for the purpose to ameliorate system performance. In practice, we apply the steps of this framework on a Moroccan bank by choosing a combination of processes and indicators.
Rank (graph theory)
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This paper proposes a systematic approach to examine air traffic concepts of operation for which the degree of innovation includes the potential for novel allocations of authority and responsibility between agents. The paper starts by demonstrating how concepts of operation can be modeled around the construct of actions, with accurate models of aircraft dynamics included as a common "truth." A case study is provided in this demonstration, examining the merging and spacing of aircraft during arrival. Then, this paper discusses the specific fast-time computational simulation framework used here, and then it applies the framework to the case study to illustrate how metrics of emergent behaviors can be collected via the simulation. The analysis of these metrics is framed within the construct of the coherence of the function allocation. Finally, the paper concludes with a discussion of further applications of this method of framing and analyzing concepts of operation, as well as further extensions to the method. This systematic, computational approach provides more definitive insights than a sole reliance on subject matter experts' estimates or extrapolations of the merits and concerns with a concept of operations. Likewise, this approach can quickly test a wide range of concepts of operation.
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Due to the relationships between human, technical and organizational factors, process industries can be considered as complex systems for which risk assessment is a key activity in order to promote a sustainable industrial development. This consideration is particularly significant for SEVESO industries that must provide safety reports to the public authorities and inspection services. The core of the safety report is mainly dedicated to the risk assessment which needs to model the industrial system with regards to its complexity. Most often this step is partially treated, or simplified or avoided. In the same time, accidents investigations have shown that their occurrence is frequently related to the complexity of industrial systems too. In order to take into account the complexity of the industrial systems and their spatial and temporal dynamic, this paper aims to propose a method based on the System Dynamics theory developed by Forrester in the 60's in order to model and simulate the behavior of a technical system. This methodology is applied in the context of risk assessment and contributes to support the development of a Dynamic Risk Assessment Framework dedicated to such economical activities. This framework includes four complementary steps applied in a case study: i) the modeling of the system using the systemic theory principles and terms; ii) the implementation of this model into a Dynamic System platform for its simulation; iii) the simulation of the system using normal and abnormal scenarios in order to identify and to estimate the consequences of the potential deviations; iv) the assessment of the proposed barriers efficiency. As a conclusion, the paper presents the benefits and limits of this approach in the safety reports and proposes ways to improve and generalize the proposed methodology and to implement the framework.
Complex system
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This paper addresses the issue of data quality management in information systems within an enterprise. Motivated by legislative mandates such as the Sarbanes–Oxley Act of 2002 on the reliability and integrity of the data and the enterprise systems from which the data are produced, we propose a process-based modeling framework to assess the impact of data errors in the business process information flow and the resulting data quality metrics. This framework is then integrated with a business control framework in which the placement and effectiveness of control procedures alter the propagation of errors and, ultimately, the quality of the data in the business process. This integrated framework enables mathematical formulations of managerial problems that lead to effective data quality control strategies. We develop a two-stage multiple-choice knapsack model as a special case, and we illustrate the model and analysis through a revenue realization process.
Enterprise data management
Data integrity
Integrated enterprise modeling
Realization (probability)
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This paper investigates a number of ways in which enterprise models can be compared and proposes a framework for assessing the quality of generic enterprise models. the paper starts with an overview of various qualitative and quantitative yardsticks, taken from related disciplines, which can be used to evaluate generic enterprise models. It then uses some of these to develop a suitable framework for assessing or comparing the quality of enterprise models. the resultant framework is essentially an extension of Bart-Jan Hommes' framework for analysing the quality of a business modelling technique, to include some criteria suggested for evaluating the genericity of enterprise reference architectures. To illustrate how the proposed framework can be operationalised, it is then applied to two well-known general enterprise models: the reference models underlying two ERP solutions namely those of Baan and SAP AG.
Enterprise modelling
Integrated enterprise modeling
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Abstract This paper proposes a holistic framework for the development of models for the assessment of research activities and their impacts. It distinguishes three dimensions, including in an original way, data as a main dimension, together with theory and methodology . Each dimension of the framework is further characterized by three main building blocks: education, research, and innovation ( theory ); efficiency, effectiveness, and impact ( methodology ); and availability, interoperability, and “unit-free” property ( data ). The different dimensions and their nine constituent building blocks are attributes of an overarching concept, denoted as “quality.” Three additional quality attributes are identified as implementation factors (tailorability, transparency, and openness) and three “enabling” conditions (convergence, mixed methods, and knowledge infrastructures) complete the framework. A framework is required to develop models of metrics. Models of metrics are necessary to assess the meaning, validity, and robustness of metrics. The proposed framework can be a useful reference for the development of the ethics of research evaluation. It can act as a common denominator for different analytical levels and relevant aspects and is able to embrace many different and heterogeneous streams of literature. Directions for future research are provided.
Robustness
Openness to experience
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One of the challenges facing intermodal integration is that the planning framework needed for it lacks appropriate measures of level of service that cut across the modes involved and the connections between them. In this study we develop a framework and a set of metrics of level of service in a multimodal context. We propose a conceptual framework in which we identify the various attributes of level of service and the method of their integration. These measures of performance are defined from two perspectives: the user’s perspective (the demand side) and the provider’s perspective (the supply side). An analytical framework is then proposed in which a working definition of a “multi-modal corridor†is adopted and a methodology for defining and combining measures of performance for such a corridor is developed. The methodology is defined in the context of evaluation for the purpose of choosing among alternative corridors. The approach is grounded in utility theory and quantitatively these measures of performance are defined as indirect utility functions of the type used in choice models. In combining the measures of performance for different elements of a multi-modal corridor, the methodology recognizes that some are additive, either simply or with appropriate weights, while others are not additive at all and exhibit phenomena such as weakest link, or maximal effort. Safety is a good example of this. The basic proposition is that many level of service metrics are non-additive and their combination for a multimodal systems requires specific models that reflect the way the attributes impact users of different modes and during different segments of a multimodal journey. This study concludes by recommending some research directions to develop the models needed for the integration of level of service measures for multi-modal corridors and for their inclusion in indirect utility function.
Multimodal transport
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