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Infill materials play a pivotal role in determining buildings’ life cycle costing (LCC) and environmental impacts. International standards prescribe LCC and life cycle assessments (LCA) to assess materials’ economic and environmental sustainability. The existing methods of LCC and LCA are tedious and time-consuming, reducing their practical application. This study sought to integrate LCC and LCA with building information modeling (BIM) to develop a swift and efficient approach for evaluating the life cycle performance of infill materials.

The BIM model for a case study was prepared using Autodesk Revit®, and the study included four infill materials (lightweight aggregate concrete block (LECA), autoclaved cellular concrete (AAC), concrete masonry and bricks). LCC was conducted using Revit® and Autodesk Insight 360® to estimate costs incurred across different project phases. LCA was conducted using “One Click LCA®,” a BIM-based platform featuring a comprehensive material inventory. Carbon emissions, acidification, and eutrophication were chosen as environmental impact factors for LCA.

LECA was the preferred choice due to its lower cost and environmental impact. Its lifetime cost of $440,618 was 5.4% lower than bricks’, with 2.8% lower CO₂ emissions than AAC’s, which were second-place options, respectively. LECA had 6.4 and 27% lower costs than concrete blocks, and AAC’s carbon emissions were 32 and 58% lower than concrete blocks and bricks, respectively.

BIM has been employed for life cycle analysis in existing literature, but its efficacy in evaluating the lifetime costs and environmental impacts of infill materials remains unexplored. The current study presents a BIM-based approach for conducting LCC and LCA of infill materials, facilitating informed decision-making during the planning phase and promoting sustainable construction practices.

This research demonstrates the theoretical merit of a reference architecture-based approach to life cycle cost (LCC) analysis system provision in the built environment. LCC insight is considered fundamental to sustainable decision making by asset managers; however, the current capabilities in practice do not align with the political ambition and the scale of competencies required to realise sectoral emissions–reduction targets.

In pursuing practical outcomes, the study employs a custom design science research-inspired methodology. Domain requirements are gathered via literature research as an initial top-down software reference architecture which is refined, bottom-up, through testing and implementation in a representative case study. A prototype IT system and reference architecture artefact are developed and used to evaluate the concept qualitatively through broad practitioner focus groups.

Sentiment analysis of the expert opinions is broadly positive and helps to substantiate the proposal’s theoretical suitability in addressing the scalability challenge. Additionally, constructive feedback provides guidance towards this trajectory, highlighting the importance of aligning with existing communities and standards, broadening future research scope to consider further scenarios and prioritisation of efforts to build trust around contracts and data quality.

The novelty of the work is the provision of the reusable LCC reference architecture development methodology.

The concept has the potential to provide LCC capabilities to industry at scale while the artefacts developed herein can be appended to existing LCC standards as implementation guidance to support IT system developers. Furthermore, the developed methodology can be employed in harmonisation efforts between policy and practice.

This paper aims to examine the low-cost carriers (LCC) impact on the high-quality carriers (HQC) in the aviation industry. The impact of LCCs on high-quality producers in the aviation industry has been a significant and multifaceted phenomenon.

The study employs a captivating case study approach, investigating into the intricate fabric of the subject matter. Interviews serve as the cornerstone of primary evidence, offering first-hand insights, while secondary data sourced from documents adds depth to the exploration of the challenges encountered by the HQC.

The study concludes that LCCs have disrupted the traditional aviation landscape by offering low fares, simplified service models and aggressive cost-cutting strategies. This disruption has affected both the high-quality producers, such as full-service airlines. Full-service airlines have adopted a strategy of segmenting their market by offering multiple fare classes, with varying levels of service and flexibility. This allows them to target both price-sensitive travelers and those seeking premium services, catering to a broader customer base. The competition from LCCs has spurred innovation within the aviation industry, leading to advancements in technology, digital services and operational efficiency. Airlines, both LCCs and traditional carriers, have had to adapt to evolving consumer preferences and embrace digital solutions for booking, check-in and in-flight services.

While this study provides a valuable cost-benefit analysis of the impact of LCC on high-quality producers in the aviation industry, it is essential to acknowledge its limitations and recognize the avenues for future research to further enhance our understanding of this complex and evolving industry landscape. While this study contributes valuable insights into the impact of LCCs on high-quality producers in the aviation industry, it is essential to recognize its limitations and identify opportunities for future research to expand our understanding of this complex and dynamic landscape. By addressing these limitations and exploring new avenues of inquiry, we can continue to advance our knowledge and inform evidence-based decision-making within the industry.

This study pioneers an exploration into the intricate tapestry of factors molding the future of the aviation sector. Through its groundbreaking analysis, it furnishes indispensable insights for industry stakeholders, policymakers and the discerning traveling public, setting a new benchmark for understanding and navigating the aviation landscape.

The paper presents reliability, maintainability and life cycle cost (LCC) analysis of a computerized numerical control (CNC) turning center which is manufactured and used in India. The purpose of this paper is to identify the critical components/subsystems from reliability and LCC perspective. The paper further aims at improving reliability and LCC by implementing reliability-improvement methods.

This paper uses a methodology for the reliability analysis based on the assessment of trends in maintenance data. The data required for reliability and LCC analysis are collected from the manufacturers and users of CNC turning center over a period of eight years. ReliaSoft’s Weibull++9 software has been used for verifying goodness of fit and estimating parameters of the distribution. The LCC of the system is estimated for five cost elements: acquisition cost, operation cost, failure cost, support cost and net salvage value.

The analysis shows that the spindle bearing, spindle belt, spindle drawbar, insert, tool holder, drive battery, hydraulic hose, lubricant hose, coolant hose and solenoid valve are the components with low reliability. With certain design changes and implementation of reliability-based maintenance policies, system reliability is improved, especially during warranty period. The reliability of the CNC turning center is improved by nearly 45 percent at the end of warranty period and system mean time between failure is increased from 15,000 to 17,000 hours. The LCC analysis reveals that the maintenance cost, operating cost and support costs dominate the LCC and contribute to the tune of 87 percent of the total LCC.

The proposed methodology provides an excellent tool that can be utilized in industries, where safety, reliability, maintainability and availability of the system play a vital role. The approach may be improved by collecting data from more number of users of the CNC turning centers.

The approach presented in this paper is generic and can be applied to analyze the repairable systems. A real case study is presented to show the applicability of the approach.

The proposed methodology provides a practical approach for the analysis of time-to-failure and time-to-repair data based on the assessment of trends in the maintenance data. The methodology helps in selecting a proper approach of the analysis such as Bayesian method, parametric methods and nonparametric methods.

The purpose of this paper is to establish the extent to which life cycle costing (LCC) is used as an early stage project evaluation tool by practitioners in the UK construction industry. The use of this evaluation tool has long been advocated by academics as a means of ensuring best value rather than lowest cost is a driver for business decisions related to potential built environment projects. Therefore there is a need to appraise its current uptake levels amongst built environment professionals and assess whether there are any barriers affecting its use in UK practice.

Using a mixed methods approach, the authors present the findings from a survey of construction professionals located in the UK and the results from a series of follow up semi-structured interviews designed to further explore the factors found to affect the use of LCC in practice.

The study shows that LCC is still not widely used by built environment professionals in the UK. The greatest inhibitor on the take up of the tool is the need of clients to budget on short-term horizons. Other factors such as a lack awareness of the tool by practitioners and clients, unreliability of data into the long term and the overriding need for commercially driven projects to achieve maximum return on investment continue to inhibit the widespread adoption of LCC as an early stage project evaluation tool. These findings have implications for the capability of the UK construction industry to deliver on its commitment to enhance the sustainability of the built environment.

The paper offers insights into the current use of LCC and the factors affecting its use in the UK.

Although life cycle costing (LCC) is well established in theory and practice, little is known about the conditions of its adoption and its impact on the achievement of cost-management goals. Therefore, this paper aims to analyze the adoption and benefits of LCC.

The analyses are based on questionnaires collected from a survey of German firms.

The results demonstrate that the extent of LCC adoption is positively associated with the extent of guarantee and warranty costs, voluntary upfront and follow-up costs for ecological sustainability and the extent of target costing adoption. In contrast, the extent of LCC adoption is negatively associated with the amount of precursors and/or intermediates that are purchased. The results also demonstrate that firms perceive LCC to be beneficial for various aspects of cost management. Firms report that the greatest benefit of LCC is related to the identification of cost drivers.

This investigation provides a starting point for future studies of the conditions of LCC adoption and the benefits of LCC. This study is subject to limitations, particularly with respect to the operationalization of our independent variables, the number of contextual variables and the general limitations of survey research.

The results inform practitioners of the situations in which it is most appropriate to adopt LCC. In addition, this study identifies various cost-management goals that are supported by the use of LCC.

This study provides the first comprehensive analysis of the conditions of LCC adoption and advances the literature regarding the impact of LCC on the achievement of cost-management goals. Furthermore, this study provides a starting point for future research into the implementation of LCC and the effects of LCC on management accounting practices.

Life cycle costing (LCC) has become increasingly important in construction projects over the last decades. However, limited empirical studies have been carried out on the factors influencing its application in building projects, particularly in developing countries. The purpose of this study is to address this gap in knowledge within the Nigerian context.

Primary data were used through the administration of questionnaires to practising quantity surveying firms in Lagos State, Nigeria. The data obtained were analysed using both descriptive and inferential statistical tools including percentages, mean item score and factor analysis.

The study identified 47 barriers to the application of LCC, and the analysis of the ranking revealed that 35 (of 47) identified barriers were considered important. Factor analysis grouped the identified barriers into four key factors namely, professional incompetence; cost implications; administrative factor and procurement options.

This research is important by providing the empirical evidence on the barriers to the application of LCC in developing countries, particularly in Nigeria. For instance, the identification of important barriers to LCC use will enlighten the construction professionals to be trained in the practicalities of LCC. Moreover, the study provides implications for construction stakeholders (including governments) to draw policy recommendations that will positively improve the use of LCC in the construction industry, especially in developing countries.

The study will be beneficial to all the construction stakeholders by broadening their awareness about the barriers to LCC use in Nigeria and developing countries at large.

The purpose of this study is to examine the relationships between the dimensions of sustainable competitive advantages in the Indian low cost airlines.

This study used structural equation modelling methods to identify the factors that significantly affect the sustainable competitive advantages enjoyed by Indian low-cost carriers (LCCs). Specifically, this study is based on the data from 208 airline experts that populate multiple structural equation models.

Results indicate that indigenous efficiency, the LCCs perceptions of threat, dexterity, strategic persuasion and the LCC adopting an enabling role positively affect LCCs’ competitive advantages. These five factors were all correlated with each other. The results also show that relative to an LCC’s dexterity, indigenous efficiency is a stronger predictor of an LCC’s competitive advantages.

This study provides low-cost airlines with valuable information for designing effective strategies for obtaining competitive advantages in the LCC sector. To conclude the paper, the authors offer practical recommendations for managers and suggest some avenues for future research in this area.

The purpose of this paper is to investigate to what extent a consumer’s repair strategy impacts the annual costs of ownership of a washing machine and two types of vacuum cleaner.

The annual cost of ownership is determined by calculating the annual life cycle cost (LCC) for the respective devices. The annual LCCs of the different scenarios allow a comparison of the different repair strategy options. A Monte Carlo simulation is run to introduce parameter variability. The device’s failure rate is estimated by a combination of data sets on the devices’ performance.

Results demonstrate that the repair of the devices considered is a more favourable option over replacement. A consumer who aims for the lowest annual LCC should allow for a high number of repairs per device, without putting a maximum on the cost per repair. However, the consumer should become more cautious when a device approaches the end of its expected lifetime. Finally, the purchase of warranty can be interesting when the warranty covers a sufficiently long proportion of the device’s (expected) lifetime and when its cost does not exceed a threshold proportion of the initial purchase price.

The costs for repair might be overestimated. Future research can focus on the reduction of repair costs following self-repair.

The results provide strong arguments in favour of repair instead of replacement of broken devices.

This is the first research to quantify the influence of consumer behaviour in the context of repair of devices on the ownership costs of these devices.

The purpose of this paper is to demonstrate that the result of an optimisation via life cycle costs (LCC) depends on the assumptions made throughout the process of calculating LCC.

A framework is used to structure the assumptions made in the process of calculating LCC. These include the following three pairs: technical versus economic life‐span, static versus dynamic calculation method or costs only versus income minus costs. In a broader sense, these LCC are referred to as the life cycle economy (LCE). Two case studies form the basis for the LCC calculations. Using different assumptions, the LCC of virtual design variations of these buildings are compared to each other.

The rankings drawn from the calculations differ according to the chosen calculation method, i.e. the chosen variation for the optimisation of a building is not consistent.

This is essentially an exploratory study and the prognosis of future cash flow in relation to certain design variations requires further research.

The credibility of life cycle costing should improve with a greater transparency of assumptions in the context of the outlined framework.

All players in facilities management who support their decisions with LCC will benefit from this quantification of the impact of different calculation methods. The extension of LCC to LCE will help planners, investors and owners of real estate in evaluating building options with respect to quality, image, flexibility or comfort.