An integrated cyber security risk management framework and risk predication for the critical infrastructure protection

Neural Computing and Applications - Cyber security risk management plays an important role for today’s businesses due to the rapidly changing threat landscape and the existence of evolving...     

Integrating expert systems and operations research: A conceptual framework

Expert System technologies can provide significant benefits if integrated with operations research (OR) applications, either by using free-standing systems or by integrating them into existing OR tools. This paper first distinguishes between physical and functional integration, and then focuses on aspects of the latter. Process and technique-oriented functional integration are defined, and several conceptual issues reviewed. These include the need for and resources necessary for such integration, difficulties associated with achieving successful integrated ES-OR applications, and the integration's impact on operations researchers and their organizations.     

Integrated assessment modelling for water resource allocation and management: A generalised conceptual framework

Nodal network approaches are a common framework for considering water allocation in river basins. In this type of model framework, a river basin is represented as a series of nodes, where nodes generally represent key points of extraction or instream use. When considering water allocation, agricultural production and other water use decisions generally interact with the stream system in two ways: they can affect the generation of runoff and thus the volume of water reaching the stream; or, they may involve direct extraction or use of water once it has reached the stream. Models are generally required to consider the influence of these decisions on flows and downstream water availability, as well as the influence of flows on the productive, passive use and environmental values of water. This paper provides a generalised conceptual framework for considering these types of interactions and their representation in integrated water allocation models. Applications of this framework to three very different case studies are outlined.     

A conceptual framework to define the spatial resolution requirements for agricultural monitoring using remote sensing

Satellite remote sensing is an invaluable tool to monitor agricultural resources. However, spatial patterns in agricultural landscapes vary significantly across the Earth resulting in different imagery requirements depending on what part of the globe is observed. Furthermore, there is an increasing diversity of Earth observation instruments providing imagery with various configurations of spatial, temporal, spectral and angular resolutions. In terms of spatial resolution, the choice of imagery should be conditioned by knowing the appropriate spatial frequency at which the landscape must be sampled with the imaging instrument in order to provide the required information from the targeted fields. This paper presents a conceptual framework to define quantitatively such requirements for both crop area estimation and crop growth monitoring based on user-defined constraints. The methodological development is based on simulating how agricultural landscapes, and more specifically the fields covered by a crop of interest, are seen by instruments with increasingly coarser resolving power. The results are provided not only in terms of acceptable pixel size but also of pixel purity which is the degree of homogeneity with respect to the target crop. This trade-off between size and purity can be adjusted according to the end-user's requirements. The method is implemented over various agricultural landscapes with contrasting spatial patterns, demonstrating its operational applicability. This diagnostic approach can be used: (i) to guide users in choosing the most appropriate imagery for their application, (ii) to evaluate the adequacy of existing remote sensing systems for monitoring agriculture in different regions of the world and (iii) to provide guidelines for space agencies to design future instruments dedicated to agriculture monitoring.     

A new model in the energy policy planning

In this paper the application of the Analytic Hierarchy Process in Energy policy planning is introduced. The application of the process to energy policy formulation is explained in greater detail. A desired scenario for the United States' energy future is defined, desired strategies for the attainment of the scenario are formulated, constraints binding each strategy is defined, and policies which would resolve these constraints are formulated and assigned priorities.     

A conceptual model and IS framework for the design and adoption of environmental compliance management systems

Environmental concerns have led to a significant increase in the number and scope of compliance imperatives governing electrical, electronics, and IT products across global regulatory environments. This is, of course, in addition to general compliance and risk issues generated by the Sarbanes-Oxley Act, data protection and information privacy legislation, ethics and integrity regulations, IT governance concerns, and so on. While the latter dimensions of enterprise-wide governance, compliance, and risk (GRC) are far from straightforward, the complexity and geographical diversity of environment-based regulatory sources cause considerable problems for organisations in the electrical, electronics and IT sectors. Although a variety of enterprise-level information systems are presently available to help manage compliance and reduce risk across all areas, a majority of firms still employ ad-hoc solutions. This paper focuses on the very-much underexplored issue of environmental compliance and risk. The first objective of this exploratory study is to delineate the problems facing GRC and Environmental Health and Safety (EH&S) functions in dealing with environmental regulations globally and to identify how these problems are being solved using Environmental Compliance Management Systems (ECMS). The second objective is to propose a process-based conceptual model and related IS framework on the design and adoption of ECMS that will inform future research and, it is hoped, the IS adoption decisions of GRC and EH&S practitioners.     

X-FEDERATE: a policy engineering framework for federated access management

Policy-based management (PBM) has been considered as a promising approach for design and enforcement of access management policies for distributed systems. The increasing shift toward federated information sharing in the organizational landscape, however, calls for revisiting current PBM approaches to satisfy the unique security requirements of the federated paradigm. This presents a twofold challenge for the design of a PBM approach, where, on the one hand, the policy must incorporate the access management needs of the individual systems, while, on the other hand, the policies across multiple systems must be designed in such a manner that they can be uniformly developed, deployed, and integrated within the federated system. In this paper, we analyze the impact of security management challenges on policy design and formulate a policy engineering methodology based on principles of software engineering to develop a PBM solution for federated systems. We present X-FEDERATE, a policy engineering framework for federated access management using an extension of the well-known role-based access control (RBAC) model. Our framework consists of an XML-based policy specification language, its UML-based meta-model, and an enforcement architecture. We provide a comparison of our framework with related approaches and highlight its significance for federated access management. The paper also presents a federation protocol and discusses a prototype of our framework that implements the protocol in a federated digital library environment.     

A framework for Integrating Artificial Intelligence and Simulation

Both Simulation and Artificial Intelligence try to model reality for problem solving and decision making. In this paper, we propose a framework for integrating the two areas by uncovering fundamental similarities between them and opportunities for combining them which can be mutually useful. The framework also shows the potential gains for Simulation by applying Artificial Intelligence concepts (mainly expert systems) to assist in the simulation process and reveals in an organised way the potential gains for Artificial Intelligence by applying concepts derived from Simulation.     

A three-level schema architecture for the conceptual design of web-based information systems: from web-data management to integrated web-data and web-process management

It has been recognized only recently that, like databases, web sites need models and schemes. Data-intensive web sites are best developed using a multi-level design approach proceeding from data design via navigation design to web-page design. Modern web-based information systems are no longer static in nature. Rather they are dynamic. Besides querying, they support workflow tasks and e-commerce transactions. The design of such systems needs to consider the underlying business process next to the data. Their integrated design has been mainly treated in an ad-hoc way so far. In this paper, we present a three-level schema architecture for the conceptual design of dynamic web-based information systems. We employ an object-oriented approach that integrates data and process management and complements previous approaches for the design of data-intensive web sites. This revised version was published online in August 2006 with corrections to the Cover Date.     

A spatiotemporal information management framework for product design and assembly process planning reconciliation

This paper introduces an innovative framework for product design and assembly process planning reconciliation. Nowadays, both product lifecycle phases are quasi concurrently performed in industry and this configuration has led to competitive gains in efficiency and flexibility by improving designers’ awareness and product quality. Despite these efforts, some limitations/barriers are still encountered regarding the lack of dynamical representation, information consistency and information flow continuity. It is due to the inherent nature of the information created and managed in both phases and the lack of interoperability between the related information systems. Product design and assembly process planning phases actually generate heterogeneous information, since the first one describes all information related to “what to be delivered” and the latter rationalises all information with regards to “how to be assembled”. In other words, the integration of assembly planning issue in product design requires reconciliation means with appropriate relationships of the architectural product definition in space with its assembly sequence in terms of time. Therefore, the main objective is to provide a spatiotemporal information management framework based on a strong semantic and logical foundation in product lifecycle management (PLM) systems, increasing therefore actors’ awareness, flexibility and efficiency with a better abstraction of the physical reality and appropriate information management procedures. A case study is presented to illustrate the relevance of the proposed framework and its hub-based implementation within PLM systems.     

Optimal newsvendor policies for dual-sourcing supply chains: A disruption risk management framework

We propose generic single period (newsvendor-type) inventory models for capturing the trade-off between inventory policies and disruption risks in a dual-sourcing supply chain network both unconstrained and under service level constraints, where both supply channels are susceptible to disruption risks. The models are developed for both risk neutral and risk-averse decision-makers and can be applicable for different types of disruptions related among others to the supply of raw materials, the production process, and the distribution system, as well as security breaches and natural disasters. Analytical closed-form solutions are obtained and interesting managerial insights on the merit of contingency strategies in managing uncertainties and risks in dual-sourcing supply chains are discussed.     

面向虚拟采办的智能决策支持系统概念框架

提出一种面向虚拟采办全寿命周期、全系统、全方位决策的智能决策支持系统SBA—IDSS概念框架．作为真实世界采办最终需求的抽象描述,它属于与实现无关的规范性模型体系,由它定义应用领域、用户概念和环境特征．同时它是数字世界中拟实现的初始工程模型,包括与实现无关的设计可行性模型、规划模型及功能顶层分解．该框架支持系统的自组织、自适应智能行为,预期可按需组成模型与仿真、文件、知识、通信及数据驱动的各类实用决策支持系统．该框架通过一项SBA实例的验证,得到可用性的正面评价．     

A system dynamics framework for integrated reverse supply chain with three way recovery and product exchange policy

With the technological advancements and rapid changes in demand pattern, diverse ranges of products are entering into the market with reduced lifecycle which leads to the environmental disasters. The awareness of product take-back and recovery has been increasing in various supply chains not only due to the obligation imposed by legislation but also competitive economics worldwide. In this paper, we develop a system dynamics framework for a closed-loop supply chain network with product exchange and three way recovery policy, namely; product remanufacturing, component reuse and remanufacturing, and raw material recovery. In the simulation study, we investigate the significance of various factors including product exchange, collection and remanufacturing; their interactions and the type of their impact on bullwhip and profitability through sensitivity and statistical analysis. Our results suggest that the inclusion of three way recovery in reverse channel and product exchange policy in the forward channel reduce the order variation and bullwhip effect at both retailer and distributor level and increases the profitability of RL operations. In addition, we redefine the reverse logistics framework with “open-loop” in which the remanufactured products are redistributed only in the secondary market and compare the performance of open-loop model with that of closed-loop. Extended numerical investigation provides insights to the decision makers regarding the actions which can lead to better performance of the system.     

Abstractions: A conceptual approach for structuring interaction with integrated CAD systems

This paper develops the concept of Design Abstractions as a building block for configuring CAD applications. Design Abstractions are developed as a unit of intuitive design decisionmaking and also a unit in the physical implementation of CAD systems. Criteria for the definition and implementation of Designs Abstractions are presented, along with an example.     

Acceptance of agile methodologies: A critical review and conceptual framework

It is widely believed that systems development methodologies (SDMs) can help improve the software development process. Nevertheless, their deployment often encounters resistance from systems developers. Agile methodologies, the latest batch of SDMs that are most suitable in dealing with volatile business requirements, are likely to face the same challenge as they require developers to drastically change their work habits and acquire new skills. This paper addresses what can be done to overcome the challenge to agile methodologies acceptance. We provide a critical review of the extant literature on the acceptance of traditional SDMs and agile methodologies, and develop a conceptual framework for agile methodologies acceptance based on a knowledge management perspective. This framework can provide guidance for future research into acceptance of agile methodologies, and has implications for practitioners concerned with the effective deployment of agile methodologies.