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Investigating the selection of corresponding support methods for tunnel lining structures with different burial depths under landslide loads has strong practical significance. This paper analyzes the influence of anti-slide piles on the lining support of tunnels at different depths through scaling experiments combined with numerical simulation methods. The conclusions of this study are as follows: Under the same anti-slide pile cross-sectional conditions, when the tunnel is at a shallower depth (above the slip surface), due to the influence of the landslide load, a significant bias stress phenomenon occurs in the tunnel lining. When the tunnel is buried at a greater depth (below the slip surface), the impact of the anti-slide pile cross-sectional shape and landslide load on the tunnel lining diminishes. The bias stress ratio gradually approaches 1. Under the same tunnel lining burial depth conditions, h-type anti-slide piles exhibit the best anti-slide performance, followed by square piles, with circular anti-slide piles demonstrating relatively poorer performance. However, h-type anti-slide piles also have the highest cost, whereas circular piles are the most cost-effective. An analysis based on value engineering theory indicates that when a tunnel is positioned above the slip surface, square piles or h-type anti-slip piles offer the most cost-effective support. When a tunnel is buried at a greater depth, circular anti-slide piles represent a cost-effective solution. This study holds certain reference significance for the selection of tunnel support methods at different burial depths within tunnel landslide systems.

Value engineering (VE), as a conceptual approach and management technique, has allowed enterprises to capture value through mass production and market expansion during the industrial economic era. The VE method has enabled companies to produce products that meet user needs at a lower cost, leading to success. However, as the complexity of society and industry development increases, the lack of theoretical expansion in VE has limited its application in today’s more complex and macro management systems. With the development and evolution of vehicle–road collaborative intelligence, the intelligent automotive industry has become a complex system with multiple entities and interwoven values across different dimensions. Intelligent connected vehicles (ICVs), along with the external intelligent environment, will jointly participate in the realization of system functions. It is no longer sufficient to apply VE methods to analyze ICVs from a single product perspective. The pursuit of “maximizing value” is always the core driving force of industrial development. This study, building on the fundamental ideas of VE, expands and extends the connotation and theory of VE in three aspects: research objects, value dimensions, and associated entities, to adapt to the current situation. It also provides a new analysis process for the VE theory to better address systemic and complex issues. Taking the intelligent automotive industry as a case study, this study analyzes it based on the expanded VE theory. It considers not only the cost of system function realization and the product value of ICVs but also the external benefits of the system across different dimensions. The social value, user value, enterprise value are introduced in entity value analysis, and the relevant indicators are organized. This approach can better guide the collaboration and division of labor among multiple participating entities such as governments, enterprises, and users, achieving overall value maximization.

The development of product concept is a crucial task which cannot leave aside value assessment and product cost management. Value engineering is in charge of ensuring that key operations are performed at the lowest possible cost while still meeting performance, reliability, availability, quality, and safety requirements. This paper aims to describe a systematic approach for comparing design options created during the conceptual design stage of gas turbine components, based on cost evaluation and value analysis. The method allows designers to define design concepts for achieving target costs by combining functional decomposition, conceptual cost modelling, and the Value Analysis Value Engineering (VAVE) method. Functional decomposition allows identifying gas turbine modules and related components providing the main features to develop. Conceptual cost modelling is used as a decision-making design tool to predict the overall cost of gas turbine modules, and VAVE is adopted to find disruptive ideas and design changes whenever the gap between the estimated cost and the target cost is not compliant with the company requirements. The main outcome of the proposed methodology is to anticipate the cost of projects since the very conceptual stages with an acceptable level of accuracy compared with the target cost. The feasibility and the effectiveness of the proposed approach in value assessment, cost estimate, and optimization are demonstrated through a case study related to gas turbine blades. In the presented example, product value has been increased by lowering the manufacturing cost of key components while maintaining the same functions. Results highlight how the application of the proposed approach allows to reduce the overall cost of approximately 25% compared with the original design solution and to increase the product value up to 33%.

Process industry renovation is mostly driven by business objectives like productivity enhancement and cost reduction, which hinder the “shift towards a sustainable manufacturing” called by political and academic institutions. In this paper, the project management methodology of Value Engineering, used for cost reduction in large capital projects, is extended to improve not only economic figures, but also environmental sustainability indicators. The methods can guide project design to reduce the consumption of natural resources and the generation of waste, closing a gap between sustainability targets and production needs. Sustainability metrics derived from a simplified life cycle assessment approach are used to achieve quick but reliable estimates of the environmental impact reductions against a base scenario. The project governance is thus supported when assessing potential trade-offs between environmental and economic advantage, encouraging shared and de-risked decisions. Even though limited by the project boundaries of time and budget and by the simplified impact assessment approach, the method promotes a lean and incremental implementation of sustainable manufacturing practices, applicable also to routinary interventions. The methodology is illustrated through application examples from a real case study, an EUR 100 M chemical plant expansion project for a pharmaceutical company in Italy.

The integration of sustainability standards and value engineering methods in public education projects is a significant concern, as it ensures the well-being and sustainability goals of students, lecturers, and employees. This study aims to enhance sustainability within public education campuses by utilizing value engineering processes that establish a balanced correlation between the available budget costs and the sustainability costs that affect educational objectives, strategies, and the overall sustainability of the environment. In order to evaluate the integration of value engineering and the sustainability rating system “LEED protocols” for schools, the study utilized HAP (Hourly Analysis Program) software to perform numerical analysis, with the objective of improving environmental efficiency and cost-effectiveness in school buildings from the perspective of both male and female students. By applying this approach to all engineering disciplines, systems, and materials involved in the project, the study achieved impressive results, including a reduction in energy usage by 53.67%, a cost reduction of 27.48% from the total project budget, and 13 points earned in credit C1 and credit C2 in the Energy and Atmosphere EA category in LEED 2009. These findings are of great importance for the planning and execution of construction projects, specifically in the context of educational infrastructure, and provide valuable insights into the construction and renovation of school buildings, which can be used to enhance the safety, functionality, and aesthetic appeal of these facilities.

Autonomous vehicle solutions (AVS) are regarded as a major enabling technology to support the realization of 'total site solutions' in the construction equipment industry. Their full-scale deployment is hindered today by the need to test autonomous driving capabilities against the varying conditions an AVS is expected to be exposed to during its lifetime. Therefore, using virtual simulation environments is common to overcome the cost and time limitations of physical testing. A caveat in this virtual verification and validation (V&V) work is how to trade off the ‘realism’ of the V&V output (using high-fidelity models across many scenarios) against computational time. This research investigates expectations and needs for value-driven decision support in the virtual V&V process, proposing an approach and a tool to raise awareness among decision-makers about the value associated with using selected simulation models/components in the virtual verification and validation task for AVS. Verification activities performed on the initial prototype show that its main benefit lies in facilitating cross-domain negotiations and knowledge sharing when negotiating the desired features of the virtual simulation environment.

The Architecture, Engineering, and Construction (AEC) industry faces significant global challenges, including frequent project delays, budget overruns, and inadequate stakeholder collaboration. To address these issues, Value Engineering (VE) and Building Information Modeling (BIM) have been increasingly used in large-scale, complex construction projects. Although many studies highlight the benefits of integrating VE with BIM, its full practical potential has not yet been realized. This study aims to investigate the integration of VE and BIM within a Common Data Environment (CDE) to improve decision making and project outcomes. A comprehensive framework was developed, consisting of four interconnected modules: (1) Creating the CDE, (2) Developing the BIM Model, (3) Implementing Value Engineering, and (4) Conducting a Value Engineering Study. Central to this framework is the introduction of the VEIDEA” data bank, a structured system based on the OmniClass classification, which stores and organizes VE ideas. Additionally, the framework incorporates the Analytical Hierarchy Process (AHP) to automate the evaluation phase, assisting designers and VE teams in making data-driven decisions on design alternatives. Empirical results from a case study of an office building show significant cost savings, with a 20% reduction in reinforced concrete (RC) slab costs and a 39% reduction in flooring material costs. These findings demonstrate the potential for integrating VE and BIM to enhance cost-effectiveness and overall project performance. This study offers a novel approach to optimizing project collaboration, decision making, and efficiency in the AEC industry.

Methods and approaches for teaching engineering disciplines are evolving to adapt to the needs of companies and society. Engineering Design is one of the areas most influenced by such changes and constantly striving to develop more effective and efficient strategies to prepare the soon-to-be engineers to face the challenges of a real working environment. This paper presents an approach used to teach the use of value models for concept trade-off in the preliminary design phase, in line with the industrial challenges highlighted by the literature on Value Driven Design. The approach is based on realistic design sessions assigning to master students a value assessment challenge. The paper describes the rationale of the approach, its set-up, and a validation activity run to compare the performances of the students with those of industrial practitioners. The results of the study show that the students taking part in the design sessions can produce results that do not statistically differ from those of industrial practitioners. Moreover, the students’ self-reflection on the achievement of the intended learning outcomes show a high satisfaction toward the achievement of the educational objectives.

PurposeIncreasing demand for the best value for client’s money necessitates waste reduction while enhancing the project functionality in construction industry. The purpose of this paper is to propose Lean integrated Value Engineering (LiVE) approach by establishing the synergy between Lean and Value Engineering (VE) concepts for construction industry.Design/methodology/approachA literature survey and in-depth un-structured interviews with six subject matter experts in three steps were used to investigate the synergy between Lean principles and VE job plan to develop LiVE approach for the construction industry. The gathered data were analysed using code-based content analysis and the LiVE approach was finally validated using interviews by two additional subject matter experts representing industry and academia.FindingsResearch findings established that there is a synergy between Lean principles and VE job plan. Accordingly, the study developed a LiVE approach, which specify client’s value, identify the value stream, make value flow without interruption, let the client pull functional requirements and pursue perfection during “value establishment”, “value analysis of functional requirements”, “value creativity”, “value evaluation”, “value development”, “value verification” and “value achievement” phases.Originality/valueThe novel LiVE approach will guide construction industry practitioners on how to integrate Lean concept with VE in order to reduce unnecessary costs and wastes, to enhance project functionality and ultimately to achieve value for client’s money.

Purpose The purpose of this study is how to use the quality function deployment (QFD) in the construction industry. The study was performed for the owners and decision-makers of a construction company in Egypt, as a sample, and the owners’ requirements. Design/methodology/approach The data collection process and the type of data collected are described in this section. The data used in this study was collected from a questionnaire survey and was quantitatively analyzed using statistical analysis to identify the practices that have a statistically significant correlation with the performance of the design in the structural system of multistory buildings. A structured questionnaire five points Likert scaled based was adopted in this study; the questionnaires were distributed to experts, managers in real estate companies, construction industry-academic experts and advisors. The resulting list of factors, issues and knowledge gaps was subjected to a questionnaire survey for quantitative confirmation and identification of the most important factors, issues and knowledge gaps by distributing the questionnaires to experts, managers in real estate companies, construction industry-academic experts, and advisor to identify ambiguous questions/items and to test the techniques used to collect data. Findings The effect of many internal and external factors that affect on value engineering and decision support systems, such as schedule time, cost, the purpose of the building, availability of materials and environmental, needs to be considered in the structural system for multi-story buildings. The final proposal for the house of quality-chart helps designers and decision-makers in the preliminary phase and feasibility study stage for choosing the structural system using value engineering analysis for multi-story buildings. Also, construction and engineering industries can use the findings from this study as a basis for selecting the optimal structural system for multi-story buildings. The estimating team will be able to accurately make decisions and give recommendations regarding an optimal structural system for multi-story buildings for different activities. Practical implications The proposed approach enables decision-makers and designers to select the optimum system for multi-story buildings according to the key performance indicators (KPIs) toward client satisfaction and conduct analytical investigations to facilitate decision-making in a structural system for the multi-story building in Egypt. The proposed approach enables decision-makers and designers to select the optimum system for multi-story buildings according to the KPIs toward client satisfaction and conduct analytical investigations to facilitate decision-making in the structural system for the multi-story building in Egypt. Originality/value QFD is a technique that availed in many industries and it is used in evaluating the customer expectations, reflecting this evidence on the product specifications. In recent years, this technique is used also in construction industry projects. It is will help designers and decision-makers in the preliminary phase and feasibility study stage for choosing the structural system using value engineering analysis for multi-story buildings.