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This study aims to discover the impact of failure factors on stakeholder coordination performance (SCP) in the finishing phase of high-rise building projects.

Firstly, this study identifies potential failure factors affecting coordination performance as well as criteria for measuring SCP in the finishing phase of high-rise building projects. Afterwards, a survey questionnaire is designed to collect data from high-rise building projects in Vietnam. Using the factor analysis method, the study discovers the failure constructs. A structural equation model is then built to uncover the relationships between failure constructs and SCP.

The study identified four failure constructs which could significantly affect SCP, namely traditional adversarial relationship (TAR), incompetent parties (IP), poor project planning and organization (PPO) and delays of parties toward construction works (DP). The developed model indicated that TAR, PPO and IP significantly affected stakeholders' coordination performance in the finishing phase of high-rise building projects.

The results of the study fill the gap in knowledge by discovering the causal relationships between failure constructs and SCP in high-rise building projects. The results might provide an initial guideline for stakeholders during the finishing phase of high-rise building projects to enhance their coordination performance.

The purpose of this paper is to illustrate how the introduction of new technologies can lead to reconsidering the division of the production process as well as the location of each stage, which may mean reshoring some of them.

The research is based on the analysis of the consequences of new technologies developed and introduced in the market to be applied in the final stage of jeans manufacturing. The paper presents the relevance of this technology, based on an in-depth interview with the representatives of the firm as well as firm and press reports, specialised websites and so on. The information of the reshoring company has been confirmed by its press releases.

The results show that a new technology justifies the reconsideration of the stages in which the production process can be divided and, once this division is considered viable, the drivers for reshoring can become more/less important in the reshoring decision.

Firms that previously offshored should consider that new technological processes may lead them to slice their value chains differently, causing them to seek the optimal location for each of the stages.

Most of the reshoring literature is based on a static framework where the production process is considered stable and the reasons for reshoring must reside in the change of relevant parameters (such as cost differentials, need to be more flexible, monitoring costs higher than expected, etc.). This paper reveals that changes in the production process, even in traditional sectors, may lead to reshoring/backshoring.

The capability to overcome tradeoffs among costs, quality and time has become a must in high-margin businesses too. Lean thinking may be a solution, but applications in the luxury-fashion market are still rare. In order to shed light on this apparent contradiction, the purpose of this paper is to identify the key features of the luxury-fashion market that may act as barriers for the adoption of lean principles. Next, based on the results of this preliminary analysis, the paper tries to verify, if and how, lean principles can be properly reinterpreted, so as to properly fit the requirements of this market.

Due to the operating nature of lean, an empiric approach was followed. From the evidences gathered during a lean project of a world-wide company, critical elements of the luxury-fashion market were identified and used as criteria to select, among lean tools, the most appropriate ones. Lastly, selected tools were integrated in a structured framework (for lean implementation) that was used to analyze and to improve many logistics and manufacturing processes.

Developed solutions were implemented as pilot projects, with outstanding preliminary result. Results are case specific and trying to infer general considerations may be hazardous. Nonetheless, due to the relevant dimension of the project, they can be considered more than a clue concerning the robustness of the framework and, most of all, concerning the real potentialities of lean in the luxury-fashion market.

The framework is extremely operational and, together with the proposed industrial cases, can be used as a guideline to support practitioners during the implementation of similar projects.

Lean thinking is relatively new in the luxury-fashion market, where the focus on operational costs has been traditionally considered as a marginal issue. Thus, the application of lean principles in this market is the innovative element of the paper.

This study aims to propose and evaluate a searching scheme for a bichromatic reverse k-nearest neighbor (BRkNN) that has objects and queries in spatial networks. In this proposed scheme, the author’s search for the BRkNN of the query using an influence zone for each object with a network Voronoi diagram (NVD).

The author’s analyze and evaluate the performance of the proposed searching scheme.

The contribution of this paper is that it confirmed that the proposed searching scheme gives shorter processing time than the conventional linear search.

A future direction of this study will involve making a searching scheme that reduces the processing time when objects move automatically on spatial networks.

In BRkNN, consider two groups in a convenience store, where several convenience stores, which are constructed in Groups A and B, operate in a given region. The author’s can use RNN is RkNN when k = 1 (RNN) effectively to set a new store considering the Euclidean and road distances among stores and the location relationship between Groups A and B.

In the proposed searching scheme, the author’s search for the BRkNN of the query for each object with an NVD using the influence zone, which is the region where an object in the spatial network recognizes the nearest neighbor for the query.

The purpose of this paper is to propose a novel improved teaching and learning-based algorithm (TLBO) to enhance its convergence ability and solution accuracy, making it more suitable for solving large-scale optimization issues.

Utilizing multiple cooperation mechanisms in teaching and learning processes, an improved TBLO named CTLBO (collectivism teaching-learning-based optimization) is developed. This algorithm introduces a new preparation phase before the teaching and learning phases and applies multiple teacher–learner cooperation strategies in teaching and learning processes. Applying modularization idea, based on the configuration structure of operators of CTLBO, six variants of CTLBO are constructed. For identifying the best configuration, 30 general benchmark functions are tested. Then, three experiments using CEC2020 (2020 IEEE Conference on Evolutionary Computation)-constrained optimization problems are conducted to compare CTLBO with other algorithms. At last, a large-scale industrial engineering problem is taken as the application case.

Experiment with 30 general unconstrained benchmark functions indicates that CTLBO-c is the best configuration of all variants of CTLBO. Three experiments using CEC2020-constrained optimization problems show that CTLBO is one powerful algorithm for solving large-scale constrained optimization problems. The application case of industrial engineering problem shows that CTLBO and its variant CTLBO-c can effectively solve the large-scale real problem, while the accuracies of TLBO and other meta-heuristic algorithm are far lower than CLTBO and CTLBO-c, revealing that CTLBO and its variants can far outperform other algorithms. CTLBO is an excellent algorithm for solving large-scale complex optimization issues.

The innovation of this paper lies in the improvement strategies in changing the original TLBO with two-phase teaching–learning mechanism to a new algorithm CTLBO with three-phase multiple cooperation teaching–learning mechanism, self-learning mechanism in teaching and group teaching mechanism. CTLBO has important application value in solving large-scale optimization problems.

In a supply chain, an order often connects a number of companies whose schedules affect the success of the order. This paper proposes distributed supply chain scheduling in the agent architecture instead of centralised supply chain scheduling. The companies communicate through their agents that share only the information relevant to the supply chain scheduling. This scheduling relies on distributed parallel forward simulation in which simple messages are exchanged between the agents periodically. According to these messages, each agent simulates the production orders of its company and receives and sends messages about the purchase and sale orders. This synchronises the simulation of the agent with the simulations of the other agents. Distributed simulation reduces the competitor's opportunities to manipulate the company's performance through the schedules of its suppliers and customers. Although distributed simulation does not optimise the schedules, it is capable of finding feasible schedules.

The Energy Performance of Buildings Directive (EPBD) 2002/91/EC introduced various obligatory requirements intended to achieve the reduction of use of energy resources in buildings. This directive had to be transposed into national legislation by the EU member states. Concurrently the European Committee for Standardisation developed a number of technical standards to assist member states to define the methodology for the calculation of the energy performance of buildings. The purpose of this paper is to present a comparative review of the relationship between the European directive and the standards, and the different country legislation and methodologies that have been implemented in Malta, Italy, Spain and Cyprus.

The analysis is based on a review of national legislation in the four states. Reference is also made to publications by the Concerted Action for the EPBD and to related publications by the national bodies responsible for the implementation of the EPBD. These include the Ministry for Economic Development in Italy, the Ministry of Commerce, Industry and Tourism in Cyprus, the Ministry for Resources and Rural Affairs in Malta, and the Ministries of Industry Tourism and Commerce and of Housing in Spain.

This paper analyses and compares the implementation of the directive using the above‐mentioned sources. In so doing, it focuses on general principles rather than on the specific technical requirements for the calculation method in the various states. The paper then considers the implementation of these general principles within each state before finally drawing conclusions about whether legislation relating to the original Directive 2002/91/EC is meeting its objectives and the implications relating to the requirements of the recast Directive 2010/31/EC.

The introduction of the directive in the states considered has taken place slowly and gradually over the last three to four years. There are few publications relating to the actual implementation of the directive, and this limits the possibility of comparison of sources.

The relationship between the EPBD and the milder climate experienced in the Mediterranean is considered to be of great importance, particularly since world temperatures are slowly rising. However, it is acknowledged that insufficient research has been carried out on the energy performance of buildings in this region. This paper investigates the existing legal structures that have been put into place to implement the EPBD and the effectiveness of this implementation to date.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

In the era of industry 4.0, managing the design is a challenging mission. Within a dynamic environment, several disciplines have adopted the complex adaptive system (CAS) perspective. Therefore, this paper aims to explore how we may deepen our understanding of the design process as a CAS. In this respect, the key complexity drivers of the design process are discussed and an organizational decomposition for the simulation of the design process as CAS is conducted.

The proposed methodology comprises three steps. First, the complexity drivers of the design process are presented and are matched with those of CAS. Second, an analysis of over 111 selected papers is presented to choose the appropriate model for the design process from the CAS theory. Third, the paper provides methodological guidelines to develop an organizational decision support system that supports the complexity of the design process.

An analysis of the key drivers of design process complexity shows the need to adopt the CAS theory. In addition to that, a comparative analysis between all the organizational methodologies developed in the literature leads the authors to conclude that agent-oriented Software Process for engineering complex System is the appropriate methodology for simulating the design process. In this respect, a system requirements phase of the decision support system is conducted.

The originality of this paper lies in the fact of analysing the complexity of the design process as a CAS. In doing so, all the richness of the CAS theory can be used to meet the challenges of those already existing in the theory of the design.

The authors detail how strategists can identify key areas for economic leverage in the development cycle and what can be done to exploit them.