Evolutionary multi-objective decision support systems for conceptual design

Merged with duplicate record 10026.1/2328 on 07.20.2017 by CS (TIS)In this thesis the problem of conceptual engineering design and the possible use of adaptive search techniques and other machine based methods therein are explored. For the multi-objective optimisation (MOO) within conceptual design problem, genetic algorithms (GA) adapted to MOO are used and various techniques explored: weighted sums, lexicographic order, Pareto method with and without ranking, VEGA-like approaches etc. Large number of runs are performed for findingZ Dth e optimal configuration and setting of the GA parameters. A novel method, weighted Pareto method is introduced and applied to a real-world optimisation problem. Decision support methods within conceptual engineering design framework are discussed and a new preference method developed. The preference method for translating vague qualitative categories (such as "more important 91 , 4m.9u ch less important' 'etc. ) into quantitative values (numbers) is based on fuzzy preferences and graph theory methods. Several applications of preferences are presented and discussed: * in weighted sum based optimisation methods; s in weighted Pareto method; * for ordering and manipulating constraints and scenarios; e for a co-evolutionary, distributive GA-based MOO method; The issue of complexity and sensitivity is addressed as well as potential generalisations of presented preference methods. Interactive dynamical constraints in the form of design scenarios are introduced. These are based on a propositional logic and a fairly rich mathematical language. They can be added, deleted and modified on-line during the design session without need for recompiling the code. The use of machine-based agents in conceptual design process is investigated. They are classified into several different categories (e. g. interface agents, search agents, information agents). Several different categories of agents performing various specialised task are developed (mostly dealing with preferences, but also some filtering ones). They are integrated with the conceptual engineering design system to form a closed loop system that includes both computer and designer. All thesed ifferent aspectso f conceptuale ngineeringd esigna re applied within Plymouth Engineering Design Centre / British Aerospace conceptual airframe design project.British Aerospace Systems, Warto

A Dynamic Adaptive Approach for Water Distribution Network Design

This is the author accepted manuscript. The final version is available from American Society of Civil Engineers via the DOI in this record In the face of a highly uncertain future, there is a need for water utilities to develop structured approaches for the long-term strategic design of water distribution networks (WDNs). A new conceptual framework for developing an integrative approach based on a multicriteria decision analysis (MCDA), embracing an optimization model to size flexible alternatives, is proposed. The flexible solutions are evaluated through MCDA for all the criteria (investment costs, carbon emissions, resilience, and reliability of WDNs) across all the scenarios generated for the sake of robustness and will help to adapt WDNs to changing conditions over a long planning horizon, divided into phases. The alternatives are ranked through two different MCDA methods, Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), so that decision makers will have more comprehensive information for analyzing highly ranked design solutions and after the first phase, solutions for the other phases can be reassessed by the same dynamic adaptive framework

The relationship between visual interface aesthetics, task performance, and preference

The purpose of this thesis was to develop a conceptual framework that shows the relationship between aesthetics, performance, and preference in computer interface design. To investigate this relationship, the thesis focused on investigating the effect of layout aesthetics on visual search performance and preference. This thesis begins with a literature review of related work followed by the rationale for conducting this research, in particular, defining what it meant by visual aesthetics in the context of interface design. Chapter 4 focused on investigating the effect of layout aesthetics on performance and preference. The results show that response time performance and preference increased with increasing aesthetic level. Preference and performance were found to be highly correlated. Chapter 5 focused on investigating users’ layout preference when they were not involved with a performance-based task. The results showed, surprisingly, that preference was highest with a “moderate” level of layout aesthetics and lowest with “high” and “low” levels of aesthetics. Chapter 6 focused on investigating visual effort by measuring eye movement pattern during task performance. The results showed that visual effort increased with a decreasing level of aesthetics. Chapter 7 extended the experiment in Chapter 4 using more “ecologically valid” stimuli. The results essentially replicated the results produced in Chapter 4. Chapter 8 focused on investigating the relationship between so-called “classical” aesthetics and background “expressive” aesthetics. The results showed that task performance using classical aesthetics was highest with high and low levels of aesthetics and worst with medium levels of aesthetics. Performance with expressive aesthetics increased with decreasing aesthetic levels. This thesis concludes with a conceptual framework for aesthetic design to help interface designers design interfaces that look aesthetically pleasing while at the same time supporting good task performance

Design and Evaluation of Ballast Water Management Systems using Modified and Hybridised Axiomatic Design Principles

There are two major motivations to this research. The first is based on the concerns raised at the International Maritime Organisation (IMO) MEPC 67 and 68 meetings regarding the capacity of some type-approved Ballast Water Management (BWM) Systems to meet the performance standard (D-2) of the BWM Convention at-all-times and in all conditions. The second is based on the reluctance expressed by some ship- owners to install the system onboard their ships as a Lloyd\u27s list survey suggested. In this work, an attempt was made to address these issues and concerns using a set of criteria stipulated in Regulation D-5.2 of the BWM Convention which provides the framework for reviewing and evaluating the practical concepts of managing ballast water, developing a conceptual model for managing ballast water and minimizing the contributions of human-error to BWM System performance by analyzing the associated operational human factors. Firstly, the design of a conceptual model of managing ballast water and the evaluation of some established practical concepts of BWM were achieved by using a suitable technique (Axiomatic Design or AD) which was selected via a robust procedure. The two axioms of Axiomatic Design (information and independence) were used to evaluate four different concepts of managing ballast water as well as develop a BWM Convention-compliant conceptual design matrix model respectively. Based on data collected from ballast water management experts, Post-loading Onshore Ballast Water Management System was shown to be the most appropriate ballast water management concept with respect to the Regulation D-5.2 set of criteria. This presents a paradigm shift in expert preference from traditional shipboard systems to onshore systems with respect to the IMO-criteria. The pathway for improved performance of the Convention-compliant design matrix was subsequently determined and prioritised using Sufield model of Altshuler\u27s theory of inventive problem solving (TRIZ). Lastly, a 5-step algorithm was developed to minimise operator errors in the BWM System’s operation. Fatigue and training were found to have the greatest impact on operator performance

The Specification of Store Environments: the role of store design-architecture in the consumer perception of retail brands

The overall focus of this doctoral thesis is the examination of the role of store design-architecture in consumer perceptions of retail brand loyalty. More specifically, it examines how consumers’ perceptions at the store design-architecture level promote brand loyalty and attachment at the overall retail-level. This research, therefore, aims to address the underdeveloped extant knowledge of the role of the store design-architecture in retail branding. This thesis addresses two research questions: 1) is it possible to improve on the specification or measurement of the store environment beyond the novelty, complexity collative constructs proposed in traditional studies of the store environment?; and 2) what effect, if any, do these improved store environment constructs (from answering research question number one) have in explaining the role of store design-architecture in consumer perceptions of retail brand loyalty? In its examination of the role of store-level design-architecture in overall retail-level branding, the theoretical significance of this thesis is based on two activities. First, this thesis proposes a conceptual framework that draws on multiple, diverse literatures from design-architecture, psychology and marketing. The critical review of pertinent literatures from these three sources then enables the second activity: the generation of novel empirical insights based on surveys of consumer perceptions of store-level design-architecture. A research instrument is developed that compares higher and lower levels of design in two stores of Penneys, a discount fashion retailer. The responses of 145 consumers are examined in an Exploratory Factor Analysis (EFA). A separate dataset of 403 consumer responses are analysed using Confirmatory Factor Analysis (CFA) and Structural Equations Modelling (SEM). Multiple-group invariance testing is also completed on this dataset. The primary theoretical contributions of this thesis to the extant literature are five-fold. First, the principal contribution of this thesis confirms that store aesthetic preference is positively associated with retail brand loyalty. Thus, the second research question is satisfactorily addressed; I explain that there is a mild association between store aesthetic preference and the emotionally valenced retail brand attachment construct in higher-level design contexts. Instead, a store aesthetic preference association is observed with the more behaviourally valenced retail brand loyalty construct in lower-level designs. Consequently, this principal contribution to the extant literature reveals the perceptive dynamic of how consumers processing of store-level design-architecture correspond with their perceptions of retail-level brand loyalty. A host of global-attribute, objective-subjective, and cognitive-emotional perceptive processing at the store and retail levels are observed in the proposed theoretical framework. Second, to confirm the role of store design-architecture in retail brand loyalty, I develop: a new scale for retail brand product; modify scales for store prototype, store novelty, store aesthetic preference, store complexity and retail brand price; and introduce scales for brand attachment and brand loyalty from non-retail contexts into a retail context for the first time. This research, therefore, addresses research question number one by making a notable conceptual and measurement contribution to the specification of the store environment. Third, as a progression from the previous contribution, I use these improved store environments constructs to better specify the store environment, and examine the associations between store prototype, store novelty and store aesthetic preference. I demonstrate that theory such as the preference-for-prototypes literature helps to improve the extant understanding of the associations between store prototype, store novelty and store aesthetic preference. The confirmation of the existence of these associations essentially means that the proposed model is robust, credible and able to account for consumers objective-subjective, global-attribute discriminations of the store-level aesthetic. Fourth, in an effort to explain the relative visual and non-visual contributions to retail brand attachment and retail brand loyalty, I examine associations concerning retail brand product and retail brand price. Retail brand product is confirmed to have stronger associations with retail brand attachment than store aesthetic preference or store prototypicality. Thus, this research extends the extant knowledge of the relative contributions of visual and non-visual constructs to understanding retail brand loyalty. Fifth, this research contributes to the extant understanding of how non-invariance analysis can be employed in Structural Equations Modelling (SEM) to confirm differences between groups. This research examines differences in parameter values to confirm differences in perception of the higher and lower levels of store design-architecture. This type of use of non-invariance analysis is not frequently employed in SEM and I propose that this research instrument can be generalised to other retail contexts also. Finally, this thesis concludes by presenting the limitations of this research. It makes suggestions on potential future research that could be completed, and raises some pertinent implications for practitioners arising from this research

The Epistemology of scheduling problems

Scheduling is a knowledge-intensive task spanning over many activities in day-to-day life. It deals with the temporally-bound assignment of jobs to resources. Although scheduling has been extensively researched in the AI community for the past 30 years, efforts have primarily focused on specific applications, algorithms, or 'scheduling shells' and no comprehensive analysis exists on the nature of scheduling problems, which provides a formal account of what scheduling is, independently of the way scheduling problems can be approached. Research on KBS development by reuse makes use of ontologies, to provide knowledge-level specifications of reusable KBS components. In this paper we describe a task ontology, which formally characterises the nature of scheduling problems, independently of particular application domains and in-dependently of how the problems can be solved. Our results provide a comprehensive, domain-independent and formally specified refer-ence model for scheduling applications. This can be used as the ba-sis for further analyses of the class of scheduling problems and also as a concrete reusable resource to support knowledge acquisition and system development in scheduling applications

Hospitality healthscapes: a conjoint analysis approach to understanding patient responses to hotel-like hospital rooms

In an increasingly competitive market, healthcare providers are incorporating best practices from the hospitality industry to improve the patient experience. The present study offers a model of hospitality healthscapes to provide a patient-based perspective of the infusion of hospitality into healthcare. A study of 406 respondents examined the hotel-like attributes that patients prefer in hospital rooms and the effect of their provision on patients’ well-being and willingness to pay higher out-of-pocket expenses. Using conjoint analysis and 3D visual representations of hospital rooms, the study found that high-end material finishes and hospitality-certified healthcare staff were the two greatest influences on patient choice. The study also found some differences between the preferences of “less healthy” and “more healthy” patients, with the less healthy patients willing to pay, on average, 13% higher out-of-pocket expenses for hotel-like hospital rooms than the more healthy patients. This study represents the first attempt in the evidence-based design literature to holistically and empirically examine the infusion of hospitality into healthcare by emphasizing the “patient as customer.” The findings have important marketing implications for healthcare providers who wish to enhance the patient experience

A framework for green supply chain management in the construction sector: A case study in Indonesia

Purpose: In order to implement green supply chain management (GSCM) to support the effort in reducing the environmental impact of the supply chain processes, a framework needs to be developed. This study aimed to propose a conceptual and holistic GSCM framework that represents a roadmap towards GSCM implementation by integrating all green supply chain practices by various stakeholders of the construction sector in Indonesia. Design/methodology/approach: Green supply chain management practices were obtained from an extensive literature review. A questionnaire survey of GSCM stakeholders in the construction sector was conducted to obtain the preference regarding green supply chain variables as the proxy for variable weighting and ranking. Pairwise comparison (PWC) and technique for others preference by similarity to ideal (TOPSIS) were adopted to analyze the weight and to rank the green practices, respectively. The findings from the PWC and TOPSIS were used to develop the framework. Findings: The framework for GSCM in the construction sector in Indonesia primarily focuses on reducing the use of hazardous materials, the management of waste at the project site, selling products and components that are no longer used, using video conferencing both inter- and intra-organization meetings, and support from the management level in the form EMS and ISO 14001 certification. Research limitations/implications: This study did not include other GSCM performances as criteria, such as operational and logistical performance. Practical implications: An efficient evaluation technique developed through the framework could be used in decision making policies by policy makers and organizational stakeholders that can identify and prioritize the green practices for adoption of GSCM in the construction sector. Social implications: A good framework can connect the benchmarking concept with practical applications because the framework can guide organizations in adopting and implementing benchmarking activities more systematically, comprehensively, and in a timely manner Originality/value: The originality of this research is that the GSCM framework was developed with most relevant green practices based on ranking and weighting criteria, as well as the preferences of the main stakeholdersPeer Reviewe

VR-PMS: a new approach for performance measurement and management of industrial systems

A new performance measurement and management framework based on value and risk is proposed. The proposed framework is applied to the modelling and evaluation of the a priori performance evaluation of manufacturing processes and to deciding on their alternatives. For this reason, it consistently integrates concepts relevant to objectives, activity, and risk in a single framework comprising a conceptual value/risk model, and it conceptualises the idea of value- and risk based performance management in a process context. In addition, a methodological framework is developed to provide guidelines for the decision-makers or performance evaluators of the processes. To facilitate the performance measurement and management process, this latter framework is organized in four phases: context establishment, performance modelling, performance assessment, and decision-making. Each phase of the framework is then instrumented with state of-the-art quantitative analysis tools and methods. For process design and evaluation, the deliverable of the value- and risk-based performance measurement and management system (VR-PMS) is a set of ranked solutions (i.e. alternative business processes) evaluated against the developed value and risk indicators. The proposed VR-PMS is illustrated with a case study from discrete parts manufacturing but is indeed applicable to a wide range of processes or systems

Application of context knowledge in supporting conceptual design decision making

Conceptual design is the most important phase of the product life cycle as the decisions taken at conceptual design stage affect the downstream phases (manufacture, assembly, use, maintenance, and disposal) in terms of cost, quality and function performed by the product. This research takes a holistic view by incorporating the knowledge related to the whole context (from the viewpoint of product, user, product's life cycle and environment in which the product operates) of a design problem for the consideration of the designer to make an informed decision making at the conceptual design stage. The design context knowledge comprising knowledge from these different viewpoints is formalised and a new model and corresponding computational framework is proposed to support conceptual design decision making using this formalised context knowledge. Using a case study, this paper shows the proof of the concept by selecting one concept among different design alternatives using design context knowledge thereby proactively supporting conceptual design decision making for an informed and effective decision making