Measurement of Organisational Maturity in Designing Safe Offshore Installations

Author(s):  
J. V. Sharp ◽  
J. E. Strutt ◽  
J. Busby ◽  
E. Terry

The measurement of health and safety performance is an important requirement but most performance metrics are lagging indicators, measuring lost time incidents, dangerous occurrences etc. The challenge is to develop metrics that can be applied at the design stage. It is widely recognised that most accidents are influenced by the design stage, and many can be directly attributable to deficiencies in design. This paper is concerned with a design capability maturity model’, which is complementary to the design safety performance indicator model developed to apply to the design process itself. It has been developed to measure the capability of an organisation to design a safe installation, and is based on five maturity levels, ranging from level 1 (initial or learner approach) to optimised or best practice at level 5. This maturity model was originally developed for the software industry and has now been applied to offshore safety. A similar maturity model for quality assurance is now incorporated in the latest version of ISO 9004. Eleven characteristics associated with safety have been identified, in three main groups representing formal safety demonstration, safety implementation and longer term investment in safety. A maturity level is assigned to each of these characteristics and the profile produced reflects the organisation’s overall maturity in design for safety. An important aspect of the model is that it enables an organisation to establish its current level of maturity for each of the characteristics and to identify what steps are necessary to enable the organisation to progress to a higher level. The model can be used as a self assessment tool or applied through an external independent body to the different organisations involved in design (contractor’s design team, duty holder’s team etc).

Author(s):  
Keith R. Worfolk

The critical inter-dependencies between Enterprise Services and Enterprise Data are often not given due consideration. With the advent of Cloud Computing, it is becoming increasingly important for organizations to understand the relationships between them, in order to formulate strategies to jointly manage and coordinate enterprise services and data to improve business value and reduce risk to the enterprise. Enterprise Services encompass Service-driven applications deployed on-premises in the enterprise data centers as well as in the Cloud for the “extended enterprise.” Enterprise Data Management encompasses the cross-application enterprise-level perspective of data in an information-sharing enterprise, and the critical business data that is created, maintained, enriched, and shared outside the traditional enterprise firewall. This chapter discusses and proposes best practice strategies for coordinating the enterprise SOA & EDM approaches for mutual success. Primary coordination aspects discussed include: Service & Data Governance, Master Data Management, Service-driven & EDM Architecture Roadmaps, Service Portfolio Management, Enterprise Information Architecture, and the Enterprise Data Model. It recommends a facilitative Service-driven Data Architecture Framework & Capability Maturity Model to help enterprises evaluate and optimize overall effectiveness of their coordinated Service-driven & EDM strategies.


2008 ◽  
pp. 1396-1415
Author(s):  
James E. Goldman ◽  
Vaughn R. Christie

This chapter introduces the Metrics Based Security Assessment (MBSA) as a means of measuring an organization’s information security maturity. It argues that the historical (i.e., first through third generations) approaches used to assess/ensure system security are not effective and thereby combines the strengths of two industry proven information security models, the ISO 17799 Standard and the Systems Security Engineering Capability Maturity Model (SSE-CMM), to overcome their inherent weaknesses. Furthermore, the authors trust that the use of information security metrics will enable information security practitioners to measure their information security efforts in a more consistent, reliable, and timely manner. Such a solution will allow a more reliable qualitative measurement of the return achieved through given information security investments. Ultimately, the MBSA will allow professionals an additional, more robust self-assessment tool in answering management questions similar to: “How secure are we?”


Author(s):  
Walaa Mahmoud Shehata ◽  
◽  
Hamdy Ahmed Faroun ◽  
Fatma Khalifa Gad ◽  
Ahmed Abdelqader Bhran ◽  
...  

Author(s):  
Lori J. Ashley ◽  
Milovan Misic

This chapter provides an overview of the genesis and development of the digital preservation capability maturity model (DPCMM) which covers a range of governance, operational, and data management functions associated with the management of long-term (10+ years) and permanent digital assets. The model is organized into three domains: infrastructure, repository, and services. In addition to providing a useful framework for analysis and planning among archivists, content owners and records managers, using a capability maturity model (CMM) to convey the requirements associated with preservation and access to long-term digital assets provides a familiar construct for information technology (IT) architects and system administrators. Each of the 15 DPCMM components has five incremental stages of capability called digital preservation performance metrics.


Author(s):  
James E. Goldman ◽  
Vaughn R. Christie

This chapter introduces the Metrics Based Security Assessment (MBSA) as a means of measuring an organization’s information security maturity. It argues that the historical (i.e., first through third generations) approaches used to assess/ensure system security are not effective and thereby combines the strengths of two industry proven information security models, the ISO 17799 Standard and the Systems Security Engineering Capability Maturity Model (SSE-CMM), to overcome their inherent weaknesses. Furthermore, the authors trust that the use of information security metrics will enable information security practitioners to measure their information security efforts in a more consistent, reliable, and timely manner. Such a solution will allow a more reliable qualitative measurement of the return achieved through given information security investments. Ultimately, the MBSA will allow professionals an additional, more robust self-assessment tool in answering management questions similar to: “How secure are we?”


2014 ◽  
Vol 8 (1) ◽  
pp. 52-62 ◽  
Author(s):  
Yousong Wang ◽  
Honglei Yi ◽  
Mian Fang

Sustainable principles have been applied in many sectors including the construction industry. In light of this requirement, delivery and operation of public funded projects have been given particular attention since they are seen as benchmarks in this industry and possess more significant impact on economy, environment, society, resource utilization, health and safety, as well as project governance. Current studies on assessing sustainability performance of these projects are found to have some gaps. By calculating the sustainability performance indicator, the research reported in this paper introduced an improved System Dynamic model addressing the impact of policies and stakeholders’ perceptions based on the previous studies. In addition, the improved model alters the way in which sustainability performance indicator evolves to make it more precise. A real stadium project in Shenzhen, China is presented to illustrate the application of the improved model in appraising the sustainability performance of public funded projects. The case study also reveals the aspects to be enhanced to make the sustainability performance better in this project.


Author(s):  
ANDRÉ MARQUES PEREIRA ◽  
RAFAEL QUEIROZ GONÇALVES ◽  
CHRISTIANE GRESSE VON WANGENHEIM ◽  
LUIGI BUGLIONE

Software projects often fail, because they are not adequately managed. The establishment of effective and efficient project management practices still remains a key challenge to software organizations. Striving to address these needs, "best practice" models, such as, the Capability Maturity Model Integration (CMMI) or the Project Management Body of Knowledge (PMBOK), are being developed to assist organizations in improving project management. Although not required, software tools can help implement the project management process in practice. In order to provide comprehensive, low-cost tool support for project management, specifically, for small and medium enterprises (SMEs), in this paper we compare the most popular free/open-source web-based project management tools with respect to their compliance to PMBOK and CMMI for Development (CMMI-DEV). The results of this research can be used by organizations to make decisions on tool adoptions as well as a basis for evolving software tools in alignment with best practices models.


2012 ◽  
Vol 433-440 ◽  
pp. 1620-1628
Author(s):  
Yeong Ran Jo ◽  
Chan Woo Cho ◽  
Jee Eun Kim ◽  
Sung Joo Lee ◽  
Jea Wook Yoon

Recently a strong increase in R&D investment has encouraged a firm to create a more effective and efficient R&D process, which allows it to save time and costs significantly. In order to build such a process, a firm should be able to evaluate its process, based on which the process can be improved. With all its importance and value, however, the previous studies on R&D process have seldom focused on the method of evaluating the process. Therefore this study aims to develop a framework for evaluating R&D process. For the purpose, CMMI (Capability Maturity Model Integrated) is used as a main method, which is a process improvement approach that provides organizations with the essential elements of effective processes that ultimately improve their performance and thus considered suitable for this research. We tried to develop a framework for evaluating R&D process based on the CMMI approach by modifying it to be suitable for measuring R&D performance where the essential elements for effective R&D process are obtained from the literature on best practices. A simple case study was conducted to illustrate how the proposed framework could be applied. The research results are expected to guide R&D process improvement across a project, a division, or an entire organization.


2021 ◽  
Author(s):  
Michael A. Greig

This dissertation takes an exploratory look at the role of human factors (HF) metrics within an electronics manufacturing organization by focussing on three objectives: 1) determining company stakeholder views of HF metrics, metrics development and HF application, 2) developing a workstation level HF assessment tool for light assembly work, and 3) creating a tool that reports the level of HF integration and maturity in an organization. Mixed methods were used in an action research framework. Research at the case organization was predominantly qualitative and included field notes, audio recordings, and company documents. Identified gaps between engineering and HF metrics were due to HF metrics focussed more on health and safety measures and activities being completed, gaps in the understanding of HF contributions, and the need for new HF tools to generate reporting measures. Five identified themes affecting HF metrics development included 1) knowledge of engineer processes and of HF principles, 2) connection of metrics to the organization, 3) support of the organization and of the information to the organization, 4) resource availability and limitations, and 5) communication format of metrics information. Collaborative user-centered development of a workstation efficiency evaluator tool helped determine data of interest and effective communication of output variables for users. Design stage inputs create outputs that include HF and system information. The tool performed well in a comparison to an observation-based analysis and also demonstrated tolerance to input errors on workstation outcomes. The developed Human Factors Integration Tool assesses HF maturity across organizational functions. Face and content validity of the tool were tested in field testing and workshops. Participants communicated a need for the tool and its contents. Industry stakeholders found the consensus-based tool helped to establish the status of HF in the organization, plan projects to further develop HF capabilities, and initiate discussions on HF for performance and well-being. The created tools demonstrated approaches to the development of future HF tools. These dissertation findings illustrate the need for more HF metric work, including developing HF measures that contribute to organization metrics, and that the development of HF measures and processes need HF considerations in their development.


2016 ◽  
pp. 2030-2048
Author(s):  
Marco Spruit ◽  
Tim de Boer

Demand for business intelligence (BI) applications continues to grow even at a time when demand for most information technology (IT) products is low, showing the importance of BI products for a modern organization. However, globalization changes the way organizations use BI, where geographic location and time independency is becoming more and more important. Gartner's hype-cycle on BI depicts the technology of BI as a Service as being almost on top of the hype cycle, indicating there are high expectations of this new technology. This research advances on existing literature on business intelligence and cloud computing from a development perspective by introducing the concept of business intelligence as a service (BIaaS). The most important deliverable is the BIaaS capability maturity model (CMM) that is introduced here. The BIaaS CMM explains the conceptual model of BIaaS by the creation of the first BIaaS capability model containing key capabilities of BIaaS. The capability model is further enhanced with maturity levels depicting the importance of each BIaaS capability, a maturity matrix suggesting a roadmap for BIaaS solution development, and a BIaaS assessment model introducing a tool for finding problem areas in existing BIaaS solutions. The developed BIaaS CMM ought to support (starting) BIaaS vendors to develop BIaaS solutions by providing an assessment tool for BIaaS solutions. The assessment outcome provides the current maturity of the BIaaS solution and also includes problem areas for solution improvement. The introduction of the CApability Maturity Positioning (CAMP) method for the development of a maturity matrix, which results in the BIaaS maturity model, is significantly different from conventional maturity modeling. To calculate the weight of each capability from the BIaaS capability model, a thorough product review of existing business intelligence and cloud computing products is performed. Analysis of the results and normalizing the outcome of that analysis together with the introduction of a calculation mapping, is input for the creation of the maturity matrix. The maturity matrix is the essential foundation for the developed business intelligence as a Service capability maturity model, which is the main deliverable of this research.


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