A Query-Driven Spatial Data Warehouse Conceptual Schema For Disaster Management

Malaysia has experienced various types of disasters. Such events cause billions of USD and posing great challenges to a nation’s government to provide better disaster management. Indeed, disaster management is an important global problem. The National Security Council’s (NSC) Directive No. 20 outlines Malaysia’s policy on disaster and relief management demonstrates government efforts and initiatives to efficiently respond to disasters. In this regard, decision making is a key factor for organizational success. Positive outcomes are dependent on available data that can be manipulated to provide information to the decision maker, who faces the difficult and complex task of anticipating upcoming events and analyzing multiple parameters. Disaster management involves multiple sources for data collection at various levels as well as a wide array of stakeholders. Hence, accessibility to heterogenous spatial data is challenging. It is crucial to address this problem in terms of data distribution, query operation, and the analyzation task because each resource, level, and stakeholder involved has personal preferences with regard to its format, structure, syntax, and schema.The main purpose of this research is to support the complex decision-making process during disaster management by enriching the body of knowledge on spatial data warehousing, particularly for conceptual schema design. A major research problem identified are the heterogeneity of a spatial resource data model, the most appropriate approach to schema design, and the level to which the schema is dependent on the given tools. These problems must be addressed as they are main roadblocks to the process of accessing and retrieving information. The existence of heterogeneous data sources and restricted accessibility to relevant information during a disaster causes several issues with spatial data warehouse design. It can be classified into three considerations namely, the need for guidelines and formalism, schema generation model and a schema design framework and finally, a generalized schema. Four strategies have been designed to address the aforementioned problems: identifying relevant requirements, creating a conceptual design framework, deriving an appropriate schema, and refining the proposed method. User queries are prioritized in the conceptual design framework. Outputs from the formalization process are used with a schema algorithm to effectively derive a generalized schema. The conceptual model framework is taken to be representative of a potential application/ system that has been developed to design a conceptual schema using the problematic heterogeneous data and a restricted approach concerning any corresponding query formalisms. In the schema derivation phase, the conceptual schema that was produced by implementing the proposed framework is presented along with the final conceptual schema. This design is then incorporated into a tool to run an experiment demonstrating that queries from a heterogeneous context are capable of performing context-appropriate conceptual schema design in generic way. Such results outshine the capabilities of a restricted design approach and could potentially answer any relevant queries in less time

Conceptual design supporting tool between architectural design office and its client

Accompanied with the continuation of rapid Chinese economic growth through the past decades, I have experienced great changes happened in the architectural design industry. Computer science and various architectural design theories had been widely applied; traditional design institutes, which based on planned economic system, are no longer the only choice for clients; new style small professional offices are mushrooming to meet the increasing demands of the expanding building market… However, study on the management of architectural design process has not gained enough attention, especially on the management of architectural conceptual design process for those small professional offices. Opportunities of booming development also bring sever competition among the mushrooming architectural design offices. Those who possess more competitive advantages will be more likely to survive. Doubtlessly, to work in an effective and quality-control manner will be one of the most important components of those competitive advantages. Architectural conceptual design process is an effort-consuming, intelligent-intensive, and an iterative process. How shall a design office response the request of its client, exchange the right information in time, and deliver the quality controlled design result in accordance with the mutual agreed schedule, greatly influences the evaluation from the client on its work performance. This paper aims to develop a management tool - CDST (Conceptual Design Supporting Tool) for those architectural design offices to improve their work performance on the architectural conceptual design process. Purpose of this tool implies the following aspects: 1) Helps the architectural design office to work in an effective and quality-control manner. 2) Guide the office to plan an OAS (office automation system) specifically for the management on the project design process. Inspired by the method of "learning or reflective cycle" ( Van Aken 2004), the management reform of Tianye office is chosen as a study case for the research. And later, another architectural design office-Steinberg Architects Shanghai office will be taken as a comparison and scenario to further explain on the result of the research-CDST. Through the research, CDST is designed into two parts. One is the CMT (Core management tool), the other is the information system guidance. Regarding the CMT, it contains the OMF (Overall management framework) part and the DSM (Detail supporting manual) part. The OMF part illustrates an overall insight on the business process of architectural conceptual design phase. The DSM part explains the influenced parameters and relevant principals on refining the work flow and data flow, which represent the business process of the architectural conceptual design phase. The information system guidance suggests the architectural design office to adopt an office automation system (OAS) on coping with its complex and knowledge-intensive daily work. Relevant types of OAS are introduced and suggestions on establishing a specific OAS, which is based on the specific circumstances of the office, are given. Since the CDST suggests involving employees into the management reform procedures, the possibility of successfully realizing the standardized and infomatized system within the design office enjoys strong Mass Basis

Managing complex technology projects

This article explores some of the issues associated with the management of complex technology projects, specifically through the use of systems methodologies. As part of this assessment, the results from an industry survey are reported, which was designed to identify the key features in the use of systems approaches in technology and engineering management. The paper also describes a new conceptual framework, called the four-frames systems view, which has been developed as a tool for the management of complex projects. This innovative framework brings together different systems-related methodologies and tools, in order to reduce risk in the design, implementation and management of complex technology projects. The framework is based on a view that different systems methodologies are needed in order to accommodate different levels of complexity. The paper provides an initial application of the framework to the development of a UAV (unmanned aerial vehicle) system for the civil sector

Lightweight design in product development: a conceptual framework for continuous support in the development process

To get closer towards achieving the climate targets and the resulting reduction in CO2 emissions, one possible strategy is to consider lightweight activities across all industries. In product development, this means that lightweight design should be integrated at a very early stage, as this is the only way to achieve the highest lightweight potential. However, such an integration is very complex, since necessary lightweight activities cannot be applied sequentially or universally to all products. Even multiple usage of different lightweight design strategies is not sufficient to achieve a targeted lightweight design on the overall system level. Therefore, it is necessary to support the product developer in the application of lightweight design by providing a framework with necessary methods and processes as well as recommendations regarding their timing. The possibility to apply them individually to different systems and related problems has to be given. To develop such a framework, different projects with respect to lightweight design were analyzed and evaluated. The main focus was on the determination of lightweight design strategies that were applied in the projects and the subsequent derivation of requirements in order to raise further lightweight potential. Based on this analysis and evaluation, a conceptual framework was developed that focuses on the overall system to be optimized, which can be part of a previous generation, for example. Subsequently, the available lightweight activities and design strategies were linked with supporting tools and methods from knowledge management. Therefore, this conceptual framework provides continuous support for the product developer throughout the entire product development process in lightweight activities

A conceptual system design and managerial complexity competency model

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Complex adaptive systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex adaptive systems. The challenges of designing complex adaptive systems in a highly dynamic world drive the need for anticipatory capacity within engineering organizations, with a goal of enabling the design of systems that can cope with an unpredictable environment. This thesis explores this question of enhancing anticipatory capacity through the study of a complex adaptive system design methodology and complexity management competencies. A general introduction to challenges and issues in complex adaptive systems design is given, since a good understanding of the industrial context is considered necessary in order to avoid oversimplification of the problem, neglecting certain important factors and being unaware of important influences and relationships. In addition, a general introduction to complex thinking is given, since designing complex adaptive systems requires a non-classical thought, while practical notions of complexity theory and design are put forward. Building on these, the research proposes a Complex Systems Life-Cycle Understanding and Design (CXLUD) methodology to aid system architects and engineers in the design and control of complex adaptive systems. Starting from a creative anticipation construct - a loosening mechanism to allow for more options to be considered, the methodology proposes a conceptual framework and a series of stages to follow to find proper mechanisms that will promote elements to desired solutions by actively interacting among themselves. To illustrate the methodology, a financial systemic risks infrastructure systems architecture development case study is presented. The final part of this thesis develops a conceptual model to analyse managerial complexity competency model from a qualitative phenomenological study perspective. The model developed in this research is called Understanding-Perception-Action (UPA) managerial complexity competency model. The results of this competency model can be used to help ease project manager’s transition into complex adaptive projects, as well as serve as a foundation to launch qualitative and quantitative research into this area of project complexity management

Complex System Governance Leadership

The purpose of this research was to develop a systems theory-based framework for leadership in governance of complex systems. Recognizing complexity and uncertainty as norms for the environments in which organizations exist encouraged researchers to suggest complexity theory, complex systems, and complex adaptive systems as appropriate for addressing these conditions. Complex System Governance (CSG), based in systems theory, management cybernetics, and governance, endeavors to provide for the design, execution and evolution of functions that provide control, communication, coordination, and integration at the metasystem level to support operations and continued system existence (viability). From a management cybernetics perspective, CSG leadership has a role in the design of the metasystem that provides governance functions for a complex system. Similarly, leadership assures the existence of conditions necessary for the requisite metasystem functions to be enabled, executed, and evolved sufficiently for continued system viability. In this research, CSG leadership functions were examined from a system theoretic perspective. An extensive body of leadership literature provides insight into leadership from a number of perspectives including leadership as personal traits, leadership as a set of skills, or leadership as a process or relationship. Systems theory conceptual foundations applied to CSG leadership functions are not represented in this literature thus resulting in a gap. This research contributes to addressing that gap by linking systems theory to leadership functions for CSG. The research was a journey of discovery with no pre-established hypotheses that could be tested using deductive approaches, therefore, an inductive approach supportive of exploring, understanding (gaining insight) and discovery was employed. As the purpose was to develop a systems theory-based framework for leadership in governance of complex systems, theory construction was required. As a recognized methodology to discover theory from data, Grounded Theory was chosen as the research methodology. The framework that resulted from this research presents a novel contribution to CSG leadership that is grounded in systems theory and management cybernetics. It also provides practitioners the opportunity to develop novel approaches for facilitating anticipation, identification, and remediation of leadership issues

MegSDF Mega-system development framework

A framework for developing large, complex software systems, called Mega-Systems, is specified. The framework incorporates engineering, managerial, and technological aspects of development, concentrating on an engineering process. MegSDF proposes developing Mega-Systems as open distributed systems, pre-planned to be integrated with other systems, and designed for change. At the management level, MegSDF divides the development of a Mega-System into multiple coordinated projects, distinguishing between a meta-management for the whole development effort, responsible for long-term, global objectives, and local managements for the smaller projects, responsible for local, temporary objectives. At the engineering level, MegSDF defines a process model which specifies the tasks required for developing Mega-Systems, including their deliverables and interrelationships. The engineering process emphasizes the coordination required to develop the constituent systems. The process is active for the life time of the Mega-System and compatible with different approaches for performing its tasks. The engineering process consists of System, Mega-System, Mega-System Synthesis, and Meta-Management tasks. System tasks develop constituent systems. Mega-Systems tasks provide a means for engineering coordination, including Domain Analysis, Mega-System Architecture Design. and Infrastructure Acquisition tasks. Mega-System Synthesis tasks assemble Mega-Systems from the constituent systems. The Meta-Management task plans and controls the entire process. The domain analysis task provides a general, comprehensive, non-constructive domain model, which is used as a common basis for understanding the domain. MegSDF builds the domain model by integrating multiple significant perceptions of the domain. It recommends using a domain modeling schema to facilitate modeling and integrating the multiple perceptions. The Mega-System architecture design task specifies a conceptual architecture and an application architecture. The conceptual architecture specifies common design and implementation concepts and is defined using multiple views. The application architecture maps the domain model into an implementation and defines the overall structure of the Mega-System, its boundaries, components, and interfaces. The infrastructure acquisition task addresses the technological aspects of development. It is responsible for choosing, developing or purchasing, validating, and supporting an infrastructure. The infrastructure integrates the enabling technologies into a unified platform which is used as a common solution for handling technologies. The infrastructure facilitates portability of systems and incorporation of new technologies. It is implemented as a set of services, divided into separate service groups which correspond to the views identified in the conceptual architecture

System Governance Analysis of Complex Systems

The purpose of this research was to develop and deploy a systems-based framework for analysis of complex governance systems using a multimethodology research design. Two research gaps motivated this research: (1) lack of an integrated conceptualization of a system governance construct, (2) an absence of studies that consider both the governed and governing systems as well as the emergent interactions that arise from within complex governance systems. The research focused on three primary questions: (1) What are the distinctive characteristics of governance?; (2) What system-based framework can be developed for analysis of governance in complex systems?, and (3) What results from deployment of the framework in a field setting? The multimethodology research design that guided the effort included three primary phases. First, the literature was synthesized to derive a set of governance elements. This synthesis was accomplished across an extensive and multidisciplinary literature set by a novel method of content document clustering analysis to reveal important elements of governance. Second, a conceptual framework for analysis of system governance was constructed from the confluence of extant governance literature and systems theory. This governance system analysis framework was informed by Bunge\u27s (2003) system perspective to advance the understanding of governance that will be meaningful in a given practice. Finally, a case based application of the analysis framework was conducted to examine implications of the framework from a field perspective. The original research provided contributions to theory, methodology, and practice. From a theoretical perspective, the research contributed to the body of knowledge by providing: (1) a literature derived set of generalizable elements of governance, and (2) the development of a systems-based framework to be used to analyze complex governance systems. From a methodological stand-point, the research advanced an integrated multimethodology research design that featured: (1) a novel content analysis approach for synthesis of diverse literature; (2) the development of an integrated systems analysis method; and (3) a rigorous single-case study application within the engineering management discipline. Lastly, from a practical perspective, the systems framework provided a foundation for derivative approaches to enhance practices related to system governance

Socio-ecological resilience and urban design : defining the common ground and a way forward for practice

The macro-trends revolving around urbanisation call for revising current approaches to urban development. In this context, the concept of resilience, originally developed in system ecology, has been deemed as a useful framework to address to these challenges and as an explanatory method to describe the complex dynamics regulating urban systems. However, while resilience science has gained importance in the academic debate in vulnerability and risk management, urban planning and governance, it is only superficially investigated in the field of urban design. This paper aims at bridging the gap between urban design and socio-ecological resilience, advocating a resilience-based approach to the design of urban systems. Currently, existing literature addressing the relationship between urban design and resilience focuses on two main issues: 1) the need for a common ground upon which to build the bridge between socio-ecological resilience and urban design; 2) the need for a clear and solid conceptual framework for urban designers to foster resilience in the built environment. The paper formulates suggestions on how these issues could be addressed. These are: 1) the definition of urban morphology as the common ground upon which the bridge between resilience in system ecology and in urban design should be built, and 2), on this common ground, the definition of a research route to link approach to sustainable urban design to socio-ecological resilience. The paper concludes by presenting possible future research steps

Lean Six-Sigma in Aviation Safety: An implementation guide for measuring aviation system’s safety performance

The paper introduces a conceptual framework that could improve the safety performance measurement process and ultimately the aviation system safety performance. The framework provides an implementation guide on how organisations could design and develop a proactive, measurement tool for assessing and measuring the Acceptable Level of Safety Performance (ALoSP) at sigma (σ) level, a statistical measurement unit. In fact, the methodology adapts and combines quality management tools, a leading indicators programme and Lean-Six Sigma methodology to formally measure and continuously improve a stable and in-control safety management process by reducing safety defects and variability from core organisational processes and objectives. The implementation guide was empirically tested and validated with data collected and analysed within a period of nine months by the safety department of a complex aviation organisation operating a large transport aircraft fleet