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.

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

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This research designs a purchasing decision support system (PDSS) to assist real-world decision makings on whether to purchase or to sub-hire for equipment shortfalls problem, and to avoid shortage loss for rental business. Research methodology includes an extensive literature review on decision support systems, rental industry, and forecasting methods. A case study was conducted in a rental company to learn the real world problem and to develop the research topics. A data converter is developed to recover the missing data and transform data sets to the accumulative usage data for the forecasting model. Simulations on a number of forecasting methods was carried out to select the best method for the research data based on the lowest forecasting errors. A hybrid forecasting approach is proposed by adding company revenue data as a parameter, in addition to the selected regression model to further reduce the forecasting error. Using the forecasted equipment usage, a two stage PDSS model was constructed and integrated to the forecasting model and data converter. This research fills the gap between decision support system and rental industry. The PDSS now assists the rental company on equipments buy or hire decisions. A hybrid forecasting method has been introduced to improve the forecasting accuracy significantly. A dada converter is designed to efficiently resolve data missing and data format problems, which is very common in real world.

Spatial decision support systems (SDSS) integrate the state of the art technology, such as GIS, database and distributed models into decision support systems to support geospatial analysis that is particularly useful for watershed management, such as TMDL development on watersheds required by the Clean Water Act. This dissertation focuses on the development of a SDSS to assess the economic and environmental impacts from various best management practices (BMPs) in reducing sediment yield on rangeland watersheds.The SDSS included three major parts: the models, database and web-based interfaces. The model part is the core of the SDSS that provides the functionality of watershed economic analysis. The model maximized the profit of a representative ranch assumed to cover the whole watershed with the constraints of production technology, resource, sediment control objectives and sustainable utilization. A watershed was spatially segmented into basic units, each unit with similar plant growth and forage utilization. There are two major types of models, static and dynamic. Each model type supported variations in plant growth, grazing and ranch operations. Upland erosion was estimated through RUSLE2 and the sediment yield of a watershed was estimated from upland erosion and sediment delivery ratios for each basic unit. GAMS programs were used to solve the optimization models. The SDSS provides a platform to automatically implement the models. The database was the major tool in managing spatial and non-spatial data. A series of customized web pages were developed to support users' inputs, watershed analysis and result visualization. The embedded procedures were integrated into the SDSS to support analytical functionality, including geospatial analysis, model parameterization and web page generation.The SDSS was used to assess sediment control on the Walnut Gulch Experimental Watershed. The SDSS was parameterized primarily using publicly available data and a preliminary validation was made. The SDSS functionality was illustrated through eight applications. The results showed that given recent prices, new infrastructure practices would cause a financial burden to ranches. Better grazing management may provide an economic alternative to meet the sediment control objective and cost sharing could provide ranchers the incentives to participate in conservation plans.

Landscape Character Assessment (LCA) provides a structured approach to identifying the character and distinctiveness about the landscape. It is a tool used to identify what makes a location unique, a set of techniques and procedures used to map differences between landscapes based on their physical, cultural and historical characteristics. Although the UK has committed to assessing all of its landscapes by signing the European Landscape Convention in 2006, only 60% of coverage has been achieved. The majority of LCAs are carried out by professional environment or landscape consultancies rather than ‘in-house’. Geographical Information Systems are increasingly being used to collate and analyse data and produce character maps. This research presents a Spatial Decision Support System (LCA-SDSS) based in ArcGIS 9.3 that can be used to support decision makers in conducting a LCA. The LCA-SDSS provides a method for storing data, a model base for the assessment of Landform, Ground Type, Land Cover & Cultural attributes and a method for the user to interact with the resulting maps. Using the Tamar Valley Area of Outstanding Natural Beauty (AONB) as a study area the SDSS was developed and tested, resulting in character maps for each stage of the modelling and a final characterisation map. These maps were compared to a LCA conducted by a professional environmental consultant and were found to have produced a good quality assessment as verified by the end user at the Tamar Valley AONB Partnership.