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This study was initiated in order to develop a system for made‐to‐measure (MTM) pattern generation with special reference to computer‐aided design (CAD) applications. Recognition of the relationship between body figuration and pattern construction is essential for the production of MTM clothing with good fit. By linking theory and practice, a methodology has been developed for research in this field from female figure typing through sizing, pattern design construction and grading to pattern alteration. The study is divided into three parts. In the first part, the background to women's sizing systems and categorisation of female figure types is discussed, and a new system of size codes and size charts is proposed.

When N.J. Habraken proposed the conception of support-infill in housing construction in 1960s, housing issues was centered by drawn material construction and consumption, although the needs of involving in the final occupants' participation emerged. It reflected a transition from the industrial economy to the post-industrial economy. Since the rapid development and evolution in the field of technology and social culture in the last several decades, both the social structure and ideology have been changing. The consumption conception of dwelling has also shifted from physical substance to some invisible items, such as knowledge and service. Therefore, open building, as an architectural design method, should adapt to this situation in its future development. This paper firstly describes the characteristics of the post-industry society. Based on analyzing and summarizing the theories and some examples, this paper tries to re-explain the definition of “flexibility” in the context of the post-industrial society. It concludes that the possible tendency of open building is to establish a service system for future occupants to adapt to the changing living environment in addition to physical changeability of the building.

The purpose of this study was to investigate and propose the appropriate K‐mapping models as an approach to integrating key project components and technologies for the effective improvement of project performance within and across construction projects.

In this holistic, single‐case study, one of the largest construction consulting firms in South Korea has been studied by conducting 15 semi‐structured interviews and the different loci for each of the K‐mapping components are identified and analyzed. Based on the different loci, four types of the K‐mapping model are provided and elucidated.

Research findings indicate that these four types of the K‐mapping model provide the criteria to identify the appropriate types of K‐map for construction project organizations, according to the characteristics and conditions of their own construction personnel, construction processes, and K‐transfer technologies. With the K‐mapping models, an appropriate knowledge management system (KMS) can be developed more effectively.

First, as interpretivism was adopted as the research philosophy, the case study findings were subjective and qualitative to both the interviewees in the case study company and the researchers, though this study provided an important underpinning for future research on K‐mapping within construction project organizations. Second, the theory developed in this study was based on an investigation of the appropriate K‐mapping models with only a single case study. Nevertheless, this case study provided sufficient data and information to develop and propose a theory for successful K‐mapping model development within construction project organizations.

In the KM area, the definition, benefits, purposes, principles and types of K‐map have been already provided by many KM researchers and practitioners. However, no industry (practical)‐based K‐mapping model has been developed and proposed, especially in the construction industry. Accordingly, the originality of this study to be presented in one of the paper's conclusions: construction processes must be considered and adopted as a key component in the K‐mapping process, and the discussion of the four types of K‐map this research have generated, which significantly expands the existing literature on K‐mapping.

The purpose of this paper is to demonstrate the impact of the component assemblies redesign on the material handling costs associated with the facility layout and also, on the productivity of the assembly process. Component assemblies are the sub‐assemblies that are incorporated into the manufactured house as it progresses on the assembly line.

Floor assembly is used as an example to demonstrate the impact of the component assembly redesign process. A step‐by‐step process of assembling a floor in the case study factory is described and changes to the process are proposed. The existing and redesigned floor assemblies are analyzed using the factory layout analysis models and the production simulation models.

The proposed redesign resulted in a small savings of less than 1 per cent in the material handling costs and a substantial savings of around 20 per cent in the production time.

The work described in this paper is based on the existing floor assembly process in a case study factory. Due to the practical limitations, material handling routes and production activities associated with the redesigned assemblies were estimated. The results from this research show that redesign of component assemblies can provide potential avenues of savings for the manufactured housing industry. Such analysis can be performed for any component assembly individually or in combination with other assemblies in order to realize potential savings with relatively minor changes.

Production‐related research in manufactured housing has traditionally focused on either improving the facility layout or the assembly line process but not the combined impact of these two aspects. This paper presents a possible approach to investigating the combined impact by analyzing the impact of redesigned floor assembly.

Contract incompleteness with deficiency, inconsistency, defectiveness, and ambiguity in contract clauses, which can cause misunderstandings and misinterpretations, may result with disputes in projects. This study aims to investigate contract incompleteness factors with a hybrid fuzzy multi-criteria decision approach.

Contract incompleteness factors were ranked by fuzzy VIKOR (Visekriterijumska Optimizacija I Kompromisno Resenje) method, and the most significant factors were subjected to fuzzy decision-making trial and evaluation laboratory (DEMATEL) to examine their causal relationships. The study is not limited to ranking the identified factors solely, since their cause-effect interactions are also essential for proper risk management in construction projects.

Hybrid use of multi-criteria analysis reveals that ambiguity in enforceability including excessive demands and significant amendments in the scope of works are the top two causal contract incompleteness factors, while lack of implementation details and focus of focal point, and insufficient supporting and technical documents are the most affected ones.

Contractual causes of disputes due to contract incompleteness factors other than requirements of the contracts have been rarely investigated in the literature. The research is one of the first studies in the literature investigating the causal relationship among factors in construction contracts, which might lead to project disputes. Findings are expected to improve contract drafting, eventually contributing to effective risk management in construction projects.

The purpose of this paper is to investigate the impact of costs of quality on the present worth (PW) of a new product launch at a North American automobile manufacturer.

The paper is based on the examination of various cash flows associated with a new product launch within an automobile manufacturer. Standard cash flows and a PW analysis were examined and compared to non-standard cash flows which take into consideration post-launch cost of quality (CoQ). A sensitivity analysis was used to determine if any CoQ factors affected the integrity of the product launch.

The paper concludes that there is an impact on the PW of a program when CoQ is considered as a cash flow element. CoQ should be considered in a product launch PW analysis preceding any commitment to invest.

This study suggests that, given data on the costs that will accrue assuming standard quality concerns following product launch, and the occurrence of special cause issues, the business case can establish a better estimate of the costs a program will face under varying levels of post-launch quality. An understanding of the potential cost consequences of quality issues can shape the understanding of the risks in a planned project.

The paper shows that CoQ can have a significant impact on a PW analysis. CoQ concerns should be considered during pre-launch planning of a new product.

The paper satisfies the need to study when a manufacturer considers investment in the launch of a new product with CoQ concerns.

The purpose of this paper is to present a detailed literature review of the recent applications of the analytic hierarchy process (AHP) and analytic network process (ANP) group decision‐making methodologies.

Among more than 600 related papers published in the period 2005‐2009, a total of 232 application articles published in highly reputed international academic journals were selected and referenced in this paper. Papers were categorized according to application areas, subject titles, publication date, country of origin, academic journals, and integrated methodologies, and are summarized herein by various tables and charts.

The findings show that during the years 2005‐2009, use of the AHP technique has continued to increase exponentially. Moreover, it is expected that ANP will gain more popularity in the future, as the benefits of ANP become better understood. Applications of AHP have been dominant in manufacturing, followed by the environmental management and agriculture field, power and energy industry, transportation industry, construction industry, and healthcare. Other remarkable application fields include education, logistics, e‐business, IT, R&D, telecommunication industry, finance and banking, urban management, defense industry and military, government, marketing, tourism and leisure, archaeology, auditing, and the mining industry.

The study does not consider theoretical based AHP or ANP articles. Also the search excluded conference proceedings, masters' theses, and doctoral dissertations.

It is hoped that this study will guide practitioners in future work towards advancement of these techniques and will help the managers to select better decisions by making use of these methodologies.

The paper presents a comprehensive literature review of recent applications of AHP, and also ANP decision tools over the period 2005‐2009. Furthermore, the paper covers fuzzy AHP and fuzzy ANP extensions that are becoming popular methods in some application areas of traditional AHP and ANP.

The purpose of this paper is to develop an analytical decision-support model and a procedure that will help project management team to measure project scope definition, for completeness. The procedure is different from previous studies because the measurement of scope definition completeness accounts for differences in stakeholders’ interest and importance on project.

Data collection and analysis was based on semi-structured interviews in three steps with a total of 46 respondents. The first step identified stakeholders with an interest in public building projects while the second step identified the scope elements that serve as input to defining the project scope as well as elements that each stakeholder should be involved when measuring project scope definition, for completeness. In the third step, AHP was used to identify and prioritise the contributions required from various stakeholders when measuring scope definition completeness for 42 scope elements.

An evaluation framework to measure project scope definition completeness for public building projects in Saudi Arabia based on the input of stakeholders in accordance to their importance weights.

The prioritised weights of stakeholders’ importance in each element can be used by project managers and decision makers to reduce inefficiency and waste of time in the project scope definition process when evaluating scope definition for completeness.

This paper seeks to propose a managerial decision framework for different levels of supply chain, by addressing the strategic importance of competence values in supply chain effectiveness.

A conceptual framework for supply chain effectiveness is defined in levels of supply chain targets, knowledge management dynamics, competence levels and competence success attributes. Analysis of literature in the areas of competence management, knowledge management, supply chain and value chain management resulted in defining the factors of the model. Surveys of industrial practices were used to validate the choice of factors. The analytical network process (ANP) is used to determine the most beneficial competence success attributes in a case study performed for three companies that participate in different stages of the textile supply chain.

Individual competence in continuous learning and networking, as well as innovativeness of the team are found to be the three most important competence attributes in supply chain effectiveness.

The case study is executed in the regional textile industry. New case studies in other industries will help improve the framework. Further international surveys can improve the detail level of factors used.

The study creates awareness of knowledge management dynamics and competence management for companies which are in need of innovation to improve their supply chain competitiveness.

The proposed decision framework is one of the first efforts to consider the importance of competence in supply chain success. The ANP method is used to offer an accurate analysis of interdependent factors observed in management of knowledge dynamics and competence levels.

The study aims to develop a hierarchical model based on the Malcolm Baldrige National Quality Award to enable the ranking of quality dimensions required for achieving business excellence in the hotel industry of Bangladesh.

The study adopted a sequential mix method approach in which semi-structured interviews with 24 participants were initially conducted during the qualitative stage to identify the quality dimensions. Subsequently, a questionnaire survey was conducted among 40 industry experts to prioritise the identified elements using the relative measurement of the analytic hierarchy process (AHP). In total, 32 respondents were further surveyed to evaluate a selected number of hotels in Bangladesh using the absolute measurement of AHP.

The study uncovered eight criteria, together with 23 corresponding sub-criteria during the qualitative stage. Quality management emerged as the most crucial criterion, while health and safety-security measures were the most important sub-criteria in addressing the quality management criterion. In Bangladesh, five-star hotels were observed to be performing better than three-star and four-star hotels.

The developed model is unique and can be used by Bangladeshi practitioners to measure the performance of hotels. Moreover, it can also be applied to measure the performance of hotels in other countries just by incorporating minor modification to the model framework.