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Heritage or historic building information modelling (BIM), often referred to as HBIM, is becoming an established feature in both research and practice. The advancement of data capture technologies such as laser scanning and improved photogrammetry, along with the continued power of BIM authoring tools, has provided the ability to generate more accurate digital representations of heritage buildings which can then be used during renovation and refurbishment projects. Very often these representations of HBIM are developed to support the design process. What appears to be often overlooked is the issue of conservation and how this can be linked to the BIM process to support the conservation management plan for the building once it is given a new lease of life following the refurbishment process. The paper aims to discuss these issues.

The paper presents a review of the context of conservation and HBIM, and then subsequently presents two case studies of how HBIM was applied to high-profile renovation and conservation projects in the UK. In presenting the case studies, a range of issues is identified which support findings from the literature noting that HBIM is predominantly a tool for the geometric modelling of historic fabric with less regard for the actual process of renovation and conservation in historic buildings.

Lessons learnt from the case studies and from existing literature are distilled to develop a framework for the implementation of HBIM on heritage renovation projects to support the ongoing conservation of the building as an integral part of a BIM-based asset management strategy. Five key areas are identified in the framework including value, significance, recording, data management and asset management. Building on this framework, a conceptual overlay is proposed to the current Level 2 BIM process to support conservation heritage projects.

This paper addresses the issue of HBIM application to conservation heritage projects. Whilst previous work in the field has identified conservation as a key area, there is very little work focusing on the process of conservation in the HBIM context. This work provides a framework and overlay which could be used by practitioners and researchers to ensure that HBIM is fully exploited and a more standardised method is employed which could be used on conservation heritage renovation projects.

The aim of this paper is to highlight the application of six sigma, software engineering techniques and simulation to software development with a view to improving the software process and product.

This paper attempts to integrate six sigma and simulation to define, analyse, measure and predict various elements of software development (such as cost, schedule, defects) that influence software quality, thereby helping the software personnel take necessary measures early in the development process to improve the software processes and remove defects. Simulation results provide qualitative and quantitative suggestions on the ways to change the software process to achieve six sigma quality. The integration of six sigma and CMM and the role of knowledge management in software organisations have been taken into account.

Most software organisations operate between 2.3 and 3 sigma level. This paper presents a framework for definition, measurement, and analysis of important elements of the software product and process using six sigma tools and exploits the use of simulation in bringing six sigma improvements. Case studies have been presented to demonstrate the findings.

Application of the techniques presented in this paper would definitely improve software organisations' processes and product.

The adoption of methodologies outlined in this paper in software companies would enable them to attain improvements in terms of cost, schedule and quality.

The integration of simulation with six sigma applied to software development is novel in this paper. This paper will be valuable for quality professionals and management personnel in software organisations.

The purpose of this study is to focus deeply on the short term to explain the relative long-term evolution of the Argentinian economy in the long and the short term.

The study of the long-term evolution of the Argentine economy and identifying the moment in which it began to lose ground compared to other developed economies, such as Australia and Canada, constitutes the central axis of the historiography of this country. However, an additional problem presented by the Argentine economy is its high volatility. For this reason, the long term should be influenced by the short term, an issue that requires a more detailed study of the cyclical behavior and a deep analysis of the relationship between the long and the short term.

The results obtained point to a cyclical development that influences the long-term evolution and, therefore, explains Argentina’s convergence process with Australia and Canada. Frequent deep busts and short booms characterize the Argentine cycle, offsetting its long-term growth potential.

Although the long term has been profusely studied in Argentina, the short term has not been analyzed to the same extent, which is surprising given the extreme volatility of this economy (Prebisch, 1950). The studies performed on economic cycles have always been partial, disconnected from the long term and carried out without much technical rigor.

The purpose of this paper is to introduce a novel approach to studying disaster management operations: the emergence of coordination-clusters in long-term rehabilitation projects and innovation dynamics in coordination-clusters.

The problem addressed is examining the coordination dynamics in long-term rehabilitation operations. A mixed methods research approach was adopted where a combination of qualitative and quantitative techniques was used for data collection and analysis to study the phenomenon of the coordination evolution in long-term rehabilitation projects.

The results indicate resilience in the behavior of involved actors from different organizations as they re-organize into coordination-clusters and collectively work to overcome the unfolding challenges of long-term rehabilitation projects in areas affected by major disaster.

The results provide some answers to the question of how to map and analyze the phenomenon of coordination-clusters and their consequent coordination dynamics, and thereby steps to redesign the approach to execute long-term rehabilitation projects in places affected by major disasters.

The combination of Actor-network theory and critical incident technique with social network analysis and community detection provides an integrated network-based view of coordination dynamics in long-term recovery operations. Such perspective would broaden the empirical basis for the planning and management of complex disaster management operations.

The results of the research offer a new approach to study coordination dynamics in disaster management operations. The proposed method provides a tool to examine the evolution of processes involved with the recovery phase of a disaster management cycle.

When considering an agreeable development a realistic attitude towards presumed options is to be taken. Two prerequisites in particular prove necessary: first, a realistic model of man in his world, and second, a pragmatic philosophy to evaluate the given facts towards an appropriate, sustainable strategy of action. Mere tradition, wishful thinking, emotion, just hopeful illusions or escapism will not help. A responsible, guided attempt to control change is needed. Man, the dominant factor for the evolution of the life sphere has no other choice than consciously using his capacity to understand and to decide responsibly on his future.

The purpose of the paper is to describe and analyse the evolution of the supplier base of a buying firm and the reasons behind these changes.

The paper is based on a case study of the changes over 52 years in a sub-set of the supplier base of a firm manufacturing fork-lifts.

The study shows that some relationships feature substantial longevity. However, the duration of one-third of the total relationships is shorter than five years. There was considerable variation over time in the dynamics of the supplier base in terms of entries and exits of suppliers. Owing to this variation, research findings and conclusions in short-term studies are heavily dependent on the specific conditions at the time of the study. Finally, no less than one-fourth of the terminated supplier relationships were reactivated later.

The study was designed in a time when purchasing was considered entirely from the perspective of the buying firm. Further studies, therefore, must increasingly emphasise the role of suppliers and the interaction in the buyer–supplier relationships, as well as the embeddedness in networks.

The findings of the study are unique in two ways. First, they are based on systematic observations over more than 50 years. Second, the study involves the purchases of 11 components representing different technical and economic features. The (few) previous studies are based on much shorter time periods and involves fewer suppliers/components. Moreover, the findings regarding re-activation of terminated relationships represent unique contributions.

The issue of a balanced development of our earth has been an intriguing research and policy question for several decades. The environmental problems emerging in the 1960s and 1970s have made us aware of antagonistic forces in the evolution of our socio‐economic and environmental system. The dramatic changes — demographic, economic, social and technological — in the post‐war period were not only purely quantitative in nature, but meant also a qualitative change in the structure of this system.

With frequent floods occurring, and the fast economic development in China, attention must be paid to flood prevention, water supply, and forecasting precision. In particular, mid‐ and long‐term runoff prediction is being paid more and more attention by researchers, and it is also the most difficult problem to solve. The purpose of this paper is to apply chaos phase space theory to forecast river run off.

Because the hydrologic system is a complicated huge system, there exist high non‐linear characteristics in the space‐time change of hydrologic factors. According to theory of chaotic phase space, the paper established four models of the single‐point, multi‐point, lineal, and three‐parameter D(m,τ,k) models, they have stronger non‐linear mapping function and much more information in the time series than traditional ways.

The results of calculation show that the models are highly effective and worthy of popularization and application. It is reasonable and superior to use these models in mid‐ and long‐term hydrologic prediction.

The method cannot reduce or eliminate the un‐prediction parts caused by the inner random factors, such as the noise information of the observed data.

The models are applied in the long‐term runoff prediction of Baishan reservoir.

The new approach of hydrology forecasting due to the theory of chaotic phase space. The paper is aimed at hydrology forecasting researches and engineers, especially those who dealt with the mid‐ and long‐term prediction.

This paper aims to analyze the impact of the capabilities and strategies of the actors (micro-dynamics), learning process and networks (meso-dynamics) and institutions (macro-dynamics) in the evolution of the Brazilian ceramic clusters. Based on these experiences, managerial and policy implications are suggested.

Main data were gathered through 22 in-depth face-to-face interviews with managers and industry experts. The data were complemented by documentary analysis, including brand documents, descriptions of internal processes and Brazilian and international ceramics magazines and journals. In addition, the authors also use information from the previous experience of the authors who have been studying the sector for more than 15 years.

The paper provides empirical insights about the main characteristics of the evolution of two main Brazilian ceramic tiles clusters, as well as how there are different patterns of evolution among them. The results of this paper show that Brazilian ceramic tile clusters do not necessarily follow the life cycle model of their dominant industry, by proving evidence that different clusters in the same industry can follow different evolutionary paths.

This paper shed light on a multi-level approach (micro, meso and macro) of dynamics of the clusters and how it impacts the cluster’s life cycle. The micro-dynamics dimension was analyzed by the capabilities and strategies of local ceramic tile manufacturers. The meso-dynamics are being considered the localized learning processes, especially from those that arise from interactions, collaboration and networks carried by local and foreign suppliers. The macro-dynamics were considered by the role of local demand, factors conditions, institutions, historical legacy in the clusters’ emergence along with path dependence mechanisms.

The paper includes implications for both clusters to promote innovation, particularly to keep and create market and technological leadership through the establishment of partnership between firms and clients, regulators and research centers and universities are crucial for innovation.

This paper fulfils an identified lack of attention regarding the under-appreciation of the context-specific issues such as the capabilities of the actors, networks and institutions that may influence the long-term development of clusters.