Given the impact of increasing customer choice on operations, this thesis clarifies the role of customer preferences and its impact on the operations of a company in the house building industry. In doing so, an empirical investigation into customer choice requirements is offered and a framework that helps to align customer preferences with the product and processes is presented. A prioritisation of components is provided which ultimately helps to design houses that meet buyer requirements. Furthermore a method is presented that helps in prioritising problem areas. This study is built on two empirical pillars and the evidence drawn from these sources. First, on the basis of a case study a view of the house as a system of components and sub-components has been developed. This resulted in the set-up of a product architecture in which the Customer Order Decoupling Point (CODP) could be positioned. Second, a preference measurement task applying a pairwise comparison questionnaire was conducted so as to define the level of choice expected by customers for the components. An important outcome of the survey was to identify how customers actually prioritise categories and components in a prefabricated housing design. Combining the results of these two research exercises helps in making the correct decisions about the level of variety to offer. The generalisability of the findings is limited. However, the process of conducting the case study as well as the preference measurement is generalisable in research that concentrates on products with a complex product architecture. The framework can thus be adopted by practitioners manufacturing multi-attribute products seeking to pursue a mass customisation strategy. This research contributes by highlighting the importance of integrating process and product development in order to design a value chain that meets customer needs.

Amidst intense port competition in Northeast Asia, competitiveness in port operations is a critical issue in adopting and implementing sustainability practice that incorporate economic, environmental, social and operational perspectives. Notwithstanding the importance of sustainability practice for sustainable port operations, very few studies have investigated its links with operational sustainability and competitiveness. For this reason, in order to encourage the proactive adoption and implementation of sustainability practice in port operations, this study aims to analyse the role of sustainability practice in managing competitiveness and continuous improvements in operational performance, based on mega container ports operations. To address this issue, this study adopted a two-phase research design which incorporates a preliminary field study and empirical research. At first, to understand the specific and general features of sustainability practice in commercial port operations, preliminary field work through semi-structured face-to-face interviews were undertaken. Interviews validated the attributes of sustainability practice in the container port operational context, investigating the relevant issues. Thereafter, based on data collected from 203 organisations engaged in container port operations in Northeast Asia, the feasible relationships among sustainability practice, competitiveness and performance were analysed using hierarchical moderator regression analysis in SPSS 21. Finally, the results revealed that sustainability practice has a significant contribution as a moderator to the relationship between competitiveness, particularly in operational efficiency and service quality, and operational performance. The two-phase research design made it possible to define and validate the role of sustainability practice in managing the relationship between competitiveness and performance. With regard to theory, this study has placed the case of Northeast Asia in a global context. Secondly, the direct relationships between determinants of megaport competitiveness and performance in the context of container port operations were verified. Thirdly, the specific routes, what is achievable and how sustainability practice contributes to enhancing the relationships between determinants of megaport competitiveness and operational performance, were revealed in a container port operational context. For the ports industries, this study has provided useful insights to establish strategies for sustainable port operations and a strategic agenda to assist ports to incorporate sustainability practice, providing evidence that this will contribute to enhancing their overall competitiveness. The findings are expected to be utilised further in future studies on sustainable port development and operations, as well as to provide guidance for port operators in its future improvement strategy.

Sustainable Supply Chain Management (SSCM) is an evolving discipline, and incorporates the environmental and social performance dimensions of sustainability with the traditional measure of economic performance; current SSCM research indicates a skew towards economic performance and its interaction with environmental performance, while social performance is underrepresented (Pagell and Wu, 2009, Schaefer, 2004, Sharma and Ruud, 2003). The UK clothing industry represents a relevant research focus due to its supply chain complexity, and scale and scope of its environmental and social impacts; this thesis further recognises the tendency for academic research to focus on Large Enterprises (LE) (Curran and Blackburn, 2001) and investigates how SSCM is implemented in UK SME clothing supply chains to understand how and why they address economic, environmental and social performance and the potential contribution to developing the SSCM concept. An inductive case study methodology is employed and the research focuses on 4 UK clothing SMEs with primary data collection a series of semi-structured interviews, supported by observation, company documentation and archival data. Three theoretical lenses are applied and the findings indicate that SMEs manage their supply chains for sustainability in ways that strongly align with their specific characteristics and apply a greater emphasis on long-term, trust-based and mutually beneficial supplier relationships. A rich view of SSCM practice in SMEs is developed, which reflects the more intangible and human components of sustainability and supply chain relationships, and how these can be harnessed to achieve firm specific commitments. This thesis fulfils an identified need to study how sustainability is addressed in SME supply chains within a single industry; SSCM research to date has focused on large organisations and multiple industry perspectives. It contributes to knowledge in both the SSCM and SME research fields by identifying key gaps within the combined literature, critiquing sustainability models and developing a conceptual framework from the findings, which aims to embed social performance and offer a more integrated approach to SSCM in this context.

The aim of this research project is to develop an innovative framework to implement lean principles in Product-Service System (PSS) with the capability of assessing the leanness level of the services offering process. The framework comprises three implementation phases namely: assessment of the current state, developing a future state, and stabilising the new way of operations. Additionally, the framework covers the enablers, factors, and appropriate lean tools required for the successful implementation of lean practices in Product-Service System (PSS), as well as, the challenges that may obstacle the implementation process. The proposed framework has integrated an assessment model that provides a quantifiable measure of the leanness level of Product-Service System (PSS). Five main enablers and thirty three factors emerging from these main enablers deemed to be critical for the successful implementation of lean practices in Product-Service System (PSS). Moreover, a series of eight inhibitors appeared to block the implementation process. The Product-Service System leanness assessment model was developed upon three main levels, namely: enablers, criteria, and attributes. The first level contains five enablers. These enablers are supplier relationship, management leanness, workforce leanness, process excellence, and customer relationship. In the second level there are twenty one criteria such as: supplier delivery, culture of management and process optimisation. Finally, the third level consists of seventy three attributes. By using multi-grade fuzzy approach the PSS leanness index was computed and areas for further improvement were identified. A combination of research methodology approaches has been employed in this research. Firstly, an extensive literature review related to lean and PSS was conducted. Secondly, the qualitative approach and the case study were selected as an appropriate methodology for this research, using semi-structured and structured interview techniques to gather the required data from experts who are involved in lean projects in their companies. Finally, validation of the results was carried out using real life industrial case studies and experts judgment. Case studies demonstrate that the framework provides guidelines for manufacturing companies that aim to implement lean principles in Product-Service System (PSS). The framework enables manufacturing companies to better satisfy their customers’ needs through responding quickly to their changing demands; to improve the service offering process through reducing the creation of wastes and non-value added activities; and to improve competitiveness through increasing customers’ value. Additionally, the PSS leanness index is useful for improving the service offering process. The index provides manufacturing companies with a real insight into the leanness level of their service offering, as well as, it provides managers with a quantifiable measure of how lean their PSS is. The index identifies the gap between the current state and the future state and this helps in determining areas for further improvement.

Modern enterprise organisations rely on dynamic processes. Generally these processes cannot be modelled once and executed repeatedly without change. Enterprise processes may evolve unpredictably according to situations that cannot always be prescribed. However, no mechanism exists to ensure an updated process does not violate any compliance requirements. Typical workflow processes may follow a process definition and execute several thousand instances using a workflow engine without any changes. This is suitable for routine business processes. However, when business processes need flexibility, adaptive features are needed. Updating processes may violate compliance requirements so automatic verification of compliance checking is necessary. The research work presented in this Thesis investigates the problem of current workflow technology in defining, managing and ensuring the specification and execution of business processes that are dynamic in nature, combined with policy standards throughout the process lifycle. The findings from the literature review and the system requirements are used to design the proposed system architecture. Since a two-tier reference process model is not sufficient as a basis for the reference model for an adaptive and compliance workflow management system, a three-tier process model is proposed. The major components of the architecture consist of process models, business rules and plugin modules. This architecture exhibits the concept of user adaptation with structural checks and dynamic adaptation with data-driven checks. A research prototype - Adaptive and Compliance Workflow Management System (ACWfMS) - was developed based on the proposed system architecture to implement core services of the system for testing and evaluation purposes. The ACWfMS enables the development of a workflow management tool to create or update the process models. It automatically validates compliance requirements and, in the case of violations, visual feedback is presented to the user. In addition, the architecture facilitates process migration to manage specific instances with modified definitions. A case study based on the postgraduate research process domain is discussed.

This study has quantitatively explored the relationships between investment, the use oftechnology and manufacturing perfonnance in UK manufacturing industry from 1979 to 1995. The exploration ofthe relationships is based on the review and the meta-analysis ofmanufacturing practice and performance relationships in the past along with the related theories and economic factors. The review of the operational management theory and the economic factors, which may influence manufacturing performance and practice relationship, helps to establish the wide context for this research and also contributes to the identified gaps. The meta-analysis ofthe relationships between practice and performance in the published studies has also contributed to the identified gaps in this research area. After the consideration ofthe discovered gaps and the availability of the database, the relationship between investment, the use oftechnology and manufacturing performance has been explored in this research. In order to quantitatively evaluate the relationships between investment, the use of technology, their interaction and manufacturing perfonnance, econometric modelling techniques have been used as methodological approaches. Two types ofmethods have been developed based on the review ofthe econometric techniques used in the past and the exploration of relevant econometric literature. The first method uses multiplicative interaction regression models combined with the centralisation method and ordinary least square estimation technique to investigate the relationship between investment, technology usage and their interaction and one dimensional perfonnance. The second method employs multiple-output models using the maximum correlation estimation technique to investigate the relationships between investment, technology usage and their interaction and two dimensional performance measures. A UK manufacturing database including two time periods, the 1980s and the early 1990s, covering seventeen years has been used to test the hypothesised relationships between investment in several forms, technology usage, their interaction and financial performance. The research discovers that it was difficult for investment to bring benefits for performance improvement at the year ofinvestment. The results support the hypotheses that a long-term planned investment brought benefits for manufacturing companies in the 1980s, however was not the case in the early 1990s. Technology usage was very important for performance improvement in the 1980s but the benefits brought by technology were diminishing as the mature stage ofsome key technologies was reached in the early 1990s. The analysis of the data suggests that the economic recession in the early 1990s was an important factor in explaining the phenomena and other economic factors might playa role as well. Investment and technology did interact with each other to contribute to performance improvement but it was not always the case. The results of the multiple-outputs model support the hypothesis that profitability and growth were two joint products of investment, the use oftechnology and their interaction in the immediate year or two after investment. This research also demonstrates the values of mUltiplicative interaction regression modelling and multiple-outputs modelling for manufacturing relationship studies.

Western manufacturing companies are facing a challenging environment fraught with strong competition from India, China and other emerging economies. In this context, the effectiveness of the traditional production concepts of leanness and agility is being challenged. Against this background, the need for new manufacturing paradigms is set to provide new knowledge, techniques, and concepts useful for managers to address the difficulties of today’s business environment. This work extends the concept of production management beyond the achievement of efficiency short-term goals into the realms of strategic thinking by creating both the framework and the indices for an integrated production system. This research presents fit manufacturing as a new production model for a holistic manufacturing strategy that links the short-term goals of manufacturing effectiveness and efficiency embodied in lean and agile production strategies with the long-term objective of sustainable enterprise management. The research extends the concept of integration beyond ordinary manufacturing functions into the realms of strategic thinking. The thesis gives an operational definition for the concept of fit manufacturing by describing the structural and operational characteristics of the production philosophy. It proposes the central theme of fit xxiii manufacturing as a manufacturing strategy essential to creating an integrated view of the factory – inside out and vice-versa. The idea of an overall fitness index combining measures of leanness, agility and economic sustainability is put forward and justified and the necessary conditions for fitness are derived. A case study showing an application of these different measures and the overall production fitness index is presented. This research has shown that the fit production model combines the strengths of lean and agile manufacturing, with the long-term sustainability and viability of the enterprise. The model can be used to assess the performance of the production process, to evaluate investment proposals such as adding a new product line or increasing the overall capacity of the factory, and to build the enterprise of the future.

Based on the fundamentals of visual art and function, this research has developed a product design methodology capable of quantification of the aesthetic qualities and proposing objective solutions to enhance the appearance related variables and characteristics of a product. The objective evaluation has been done via analysis of involuntary responses using eye-tracking data based on the visual perceiving process of design. The result confirmed the reliability of the methodology by generating constant results and a good match between the measured values and declared preference. In addition, the aesthetic enhancement methods based on quantified metrics with the sample designs have been provided. The result of the research suggests that eye-tracking technology is a reliable tool in aesthetic evaluation and has potential for further development.

Innovation is of increasing importance for raising the productivity, competitiveness and growth potential of modern economies (BIS 2010). New products are a form of innovation and New Product Development (NPD) is the term used to describe the innovation process of commercialising a new product idea. Due to the nature of innovation small-medium sized enterprises (SMEs) produce, typically ‘novel’ new-to-the world offerings that provide the highest potential contribution to the economy and businesses themselves, there is an increasing emphasis on NPD within SMEs. Despite this, there is a gap between existing knowledge of the requirements of success and their application in practice. Furthermore, there is increasing recognition within the literature that the process of innovation requires on-going maintenance, disciplined audit and renewal (Leonard-Barton 1995). SMEs in particular are finding the implementation of NPD success factors challenging(Humphreys, McAdam et al. 2005; Owens 2007) and there are limited in-depth studies on how this is achieved in practice. The research provides an understanding of the challenges SMEs face in adopting NPD success factors and develops an approach to overcome these challenges and support sustained success. The research consists of two cycles of action research involving active engagement within two independent SME contexts. The first cycle provided practical insights into challenges including factors relating to: people, process, politics and technology within SMEs. As a result the research focus was refined to consider learning as a mechanism to support the implementation and the renewal of successful NPD practices. A new model is developed, namely Logical Learning, which facilitates the development of: knowledge, skills and attitude within SMEs, for this purpose. The second cycle of action research developed a unique NPD programme that implemented the Logical Learning model within SMEs. Moreover, a comprehensive and rigorous framework for learning evaluation is developed and formally validated the significance of the model. Evidence has been generated that links the application of the model to learning within SMEs, learning to changes in behaviour and NPD practices, and changes in behaviour to organisation results. Logical Learning was initially applied through a regional programme in the West Midlands, UK, which supported innovation within SMEs. Following success over an 18 month period, the programme competed for and won a national contract to continue to deliver this support. Therefore a nationwide roll-out is currently planned. The implementation of the model has impacted on the commercial success of SMEs, so far resulting in 8 new product introductions to market. These product innovations have generated actual sales of between £50,000 and £14 million within individual SMEs for the period 2011-2012, with businesses forecasting significant increases of over 400% in the year ahead. Collectively these SMEs have generated 93 additional jobs within the West Midlands, which contribute to economic development within the UK. Additionally the SMEs have developed NPD capabilities including the implementation of more formalised approaches and effective resource management. Moreover, these SMEs report further business development achievements including establishing partnerships with marketleading organisations, international distribution agreements and further private investment to support business growth. The research proves how learning is at the heart of these achievements and provides a new perspective on how it is facilitated, to successfully improve: knowledge, skills and attitudes and ensure SMEs are better equipped to sustain NPD success.

The term 'crossmodal correspondence' refers to the tendency for people to match information across the senses. In this thesis, the associations between taste/flavour (tastants and words) information with shapes and colours is investigated. Furthermore, such correspondences are addressed in the context of multisensory packaging design. The focus in this thesis is on the way in which taste/flavour information can be communicated by means of the visual elements of product packaging. Through a series of experiments, I demonstrate that people associate tastes and the roundness/angularity of shapes, and that taste quality, hedonics, and intensity influence such correspondences. However, packaging roundness/angularity does not seem to drive these associations. Additionally, I demonstrate that culture and context systematically influence colour/flavour associations. Importantly, the results reported in this thesis suggest that taste/shape correspondences can influence taste expectations as a function of the visual attributes of product packaging. The results reported here also reveal that colour can influence the classification of, and search for, flavour information on a product’s packaging. It turns out that the strength of the association between a flavour category and a colour is crucial to such an effect. The implications of these findings are discussed in light of the theories of crossmodal correspondences, its applications, and directions for future research.