In the 1990s, the UK construction industry directed considerable effort at improving productivity and reducing costs by harmonising relationships among clients, contractors, sub-contractors, specialist contractors and designers. Opportunities to accrue further benefits should be explored and capitalised upon from all areas of construction projects. Management of construction materials on well grounded logistics and supply chain management principles has the potential to yield results and augment efforts being made in other areas at making construction more efficient. The overall aim of this thesis was to develop a systematic supplier management decision-support process model that contractors can use for both short and long-term management of suppliers in the implementation of construction materials supply logistics. Such a process model would benefit construction companies by identifying essential elements that lead to improved supply of construction materials. The research findings were based upon a literature survey, two `minor-image' questionnaires (one sent to 71 UK contractors and the other to 76 UK construction materials suppliers); structured interviews with nine UK contractors and five UK construction materials suppliers; and a supplier management process model validation exercise with six UK contractors. From these, the research produced the following outcomes: systematic supplier management decision-support process map that contractors can use for short and long-term management of suppliers in the implementation of construction materials supply logistics; an understanding of the supply of construction materials into construction processes from the wider perspective of logistics and supply chain management as opposed to traditional materials management; the identification of the performance indicators against which the performance of suppliers can be evaluated and the quantification of the relative contribution of the performance indicators to improvements in customer service; the identification of factors which enable suppliers to improve levels of customer service and quantification of the relative extent to which the factors enable suppliers to contribute to improvements in their levels of customer service in the delivery of construction materials; identification of the extent to which both performance indicators and enablers were used in supplier evaluation and selection; evaluation and comparison of the extent to which contractors and suppliers used information and communication technologies in internal and external materials supply logistics processes; and evaluation of the nature of relationships between contractors and suppliers.

A longitudinal field study was conducted to provide interpretation and understanding as to how perceptions of a group of participants changed with repeated use of a Group Support System (GSS). This is a more in-depth and participant-orientated focus than some past research. Past GSS research has been dominated by single occasion usage with settings often involving student subjects. Longitudinal research is necessary because changes take place over time and groups, teams, and meetings are ongoing. Research in field settings is necessary to acknowledge the complexity of real world GSS activity and improve the relevance of findings to GSS practice and research.An original and significant aspect of the research was that the inquiry process was conducted in an interpretivist paradigm where emphasis was placed on participants' constructions of the GSS experience. An inductive approach was adopted where findings were grounded in, and generated from, qualitative data. The criteria for assessment of the relevance and rigour of the research were credibility, transferability, confirmability and dependability (Guba & Lincoln, 1989). The primary research data came from in-depth interviews with participants.The field setting concerned a group of seven participants from a local government organization, meeting face-to-face, and undertaking a strategic planning task. The process of the strategic planning task involved five GSS sessions held at the GSS Facility at Curtin University in Perth. Active process and technical facilitation was provided by an experienced two person facilitation team, who were external to the client organisation.There were two major findings. The first was a process finding of familiarisation that occurred over the first two GSS sessions. Participants were initially confronted with a foreign environment including unfamiliar people, roles, task, process, and ++ / technology. As participants experienced the GSS session, their feelings changed from fear and nervousness, to comfort and confidence. Associated with the improvement in comfort, there was improved participation, manifest as broader and greater participation at the second GSS session. The recommendation for GSS practice is to prepare participants in advance for the unfamiliar environment so as to realise the benefits of GSS more rapidly. Based on the identified changes in perceptions and behaviour, the recommendation for GSS research is to study contexts beyond single occasion usage.The second finding was a process finding of emerging confusion. Despite familiarisation with the environment, participants, when confronted with a radical change in process, as well as a difficult task about which they had preconceptions, became confused about the task, the goal, and the process. The behaviour of a participant, identified as playing the role of the farrago (Stohl & Schell, 1991), led to further confusion. Consequences included a perceived lack of achievement, and negative feelings. The recommendation for GSS practice is for facilitators to clarify the goals, the task and the process for participants. Further research is needed to ascertain what form that clarification might take. A suggestion is that it can be facilitated by maintaining familiar processes, and preparing participants in advance for difficult tasks. There are two recommendations for further GSS research. The first is to study in a field setting in order to uncover complex phenomena that are relevant to GSS practice. The second is to employ research methodologies and designs that permit discovery of emerging theory which is grounded in data.In addition to the two major findings, tentative but powerful, was the identification of ways in which the GSS ideal of even participation could be compromised. Firstly, ++ / an uneven distribution of verbal participation in an established group seems likely to persist in the GSS environment. Furthermore, the GSS facilitator may struggle against the existing group norms to alter the distribution of participation. Secondly, in groups where participants differ in their level of computer skills, computer experienced participants may be able to dominate written participation compared to computer novices. Computer novices may also suffer from computer anxiety further compromising their ability to participate. Thus equal access to GSS resources may not be sufficient to ensure even participation. The tentative nature of this finding is a signal for further research.

Neuromuscular diseases are difficult to diagnose, requiring specialized equipment and training. A decision support system facilitates this by visualizing the data produced by a classification system, allowing users to make a diagnosis. This thesis explores the development of a specific component of the decision support system; a comparison tool which allows the user to explore the visualization by making comparisons between assertions derived from the underlying classification system. After studying the impact of the comparison tool upon the performance of volunteer users, we provide recommendations on the utility of a particular decision exploration strategy and give guidance for the correct course for the future development of this system. This document illustrates some of the unique challenges associated with the evaluation of a decision support system which relies not only upon the computational power of the computer, but also upon a human’s innate ability to solve problems.

In group decision support systems, understanding the roles, dynamics and relationships between participants is imperative to streamlining the decision-making process. This is especially true when decision makers have varying interests. Research has shown that decision-making processes amongst groups with varying interests will often reach bottlenecks with issues, such as unwillingness to share information, or a limited ability of the participants to share ideas at the same time. We explored this research territory of group decision-making by implementing collaboration software to support Ocean Summits, a new approach that uses real-time simulations as part of the decision-making process for stakeholders to explore fisheries management policies. The research reported in this thesis has three goals: (1) to better understand the decision-making process in fisheries management, (2) to build a prototype system to tackle the major issues in the decision-making process and (3) to determine the best way to share and display information critical to the stakeholders' decision-making process by exploring the use of shared screens and information in comparison to private displays. We discovered that the use of shared screens with shared information yielded the best results, as opposed to private screens with shared information or private screens with private information. It was observed that sharing information allowed participants to explore more alternative solutions.

In group decision support systems, understanding the roles, dynamics and relationships between participants is imperative to streamlining the decision-making process. This is especially true when decision makers have varying interests. Research has shown that decision-making processes amongst groups with varying interests will often reach bottlenecks with issues, such as unwillingness to share information, or a limited ability of the participants to share ideas at the same time. We explored this research territory of group decision-making by implementing collaboration software to support Ocean Summits, a new approach that uses real-time simulations as part of the decision-making process for stakeholders to explore fisheries management policies. The research reported in this thesis has three goals: (1) to better understand the decision-making process in fisheries management, (2) to build a prototype system to tackle the major issues in the decision-making process and (3) to determine the best way to share and display information critical to the stakeholders' decision-making process by exploring the use of shared screens and information in comparison to private displays. We discovered that the use of shared screens with shared information yielded the best results, as opposed to private screens with shared information or private screens with private information. It was observed that sharing information allowed participants to explore more alternative solutions.

In group decision support systems, understanding the roles, dynamics and relationships between participants is imperative to streamlining the decision-making process. This is especially true when decision makers have varying interests. Research has shown that decision-making processes amongst groups with varying interests will often reach bottlenecks with issues, such as unwillingness to share information, or a limited ability of the participants to share ideas at the same time. We explored this research territory of group decision-making by implementing collaboration software to support Ocean Summits, a new approach that uses real-time simulations as part of the decision-making process for stakeholders to explore fisheries management policies. The research reported in this thesis has three goals: (1) to better understand the decision-making process in fisheries management, (2) to build a prototype system to tackle the major issues in the decision-making process and (3) to determine the best way to share and display information critical to the stakeholders' decision-making process by exploring the use of shared screens and information in comparison to private displays. We discovered that the use of shared screens with shared information yielded the best results, as opposed to private screens with shared information or private screens with private information. It was observed that sharing information allowed participants to explore more alternative solutions. / Science, Faculty of / Computer Science, Department of / Graduate

In the automotive industry, assembly lines are used to produce vehicles. These assembly lines improve throughput, and need to be carefully planned. Planning, or balancing, an assembly line constitutes identifying precedence relationships between tasks in the assembly line, and assigning tasks to stations to fit some criteria. This procedure is costly to do by hand, and is well-suited for some level of automation. The problem of balancing assembly lines has been researched since the 1950’s, but modern assembly lines largely rely on engineers to balance the line by hand. This thesis proposes that the work flow of engineers planning the assembly line would be improved by a group decision support system. This group decision support system could supply engineers with proposals for assembly lines, which the engineers can choose to modify further, either by hand or with the decision support system. The group decision support system is realized with a distributed system, consisting of a front-end, a back-end, an application programming interface to balance assembly lines, and two databases. The front-end is a website, where the users can create problems with a precedence graph. The back-end allows data to be permanently stored in the two databases, and allows communication with the application programming interface. The contribution of this thesis is a proof of concept of a group decision support system that can solve two basic types of assembly line balancing problems, SALBP-1 and SALBP-2. During development it was found that the developed system was generic enough to support different types of tasks, such as planning cooking. Further development is needed to use the system in an industrial setting, as real assembly lines need more complex models than the current version support.

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