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The performance of the facilities management supply chain (FMSC) in the hotel sector is challenged by the diverse nature of parties involved, their relationships and the flows of services and products. Although performance measurement systems have been endorsed by researchers worldwide as a mechanism to evaluate and improve performance, there seems lack of mechanisms to evaluate the FMSC performance in hotels. Hence, this paper aims to develop a framework that would enable to evaluate FMSC performance in hotels.

A case study strategy was used, where 3 five-star hotels in Sri Lanka were studied for the purpose. The data was collected through semi-structured interviews conducted with 21 professionals involved in FMSC and through document reviews. A content analysis was performed and the framework was developed. This was validated with 3 subject matter experts in the field.

The study findings revealed that the FMSC process is different from manufacturing and service supply chain (SC) processes as it comprises both product and service elements and incorporates internal, as well as external customers. The developed FMSC process comprises seven sub-processes as follows: delivery of products, delivery of services, sourcing, make/fulfil, delivery of FM services and products, receipt of FM services and receipt of products by customers. Based on the derived FMSC process and the key activities, 38 key performance indicators were developed and used in the framework to evaluate the performance of FMSC.

The developed performance evaluation framework is expected to facilitate performance measurement of the SC and enhance its performance. Further, it would enhance cooperation among FMSC partners and assist in achieving FMSC excellence.

Rising energy costs and increasing environmental concerns are catalysts for introducing sustainable design features in buildings. Incorporating sustainable design features in commercial buildings cannot be overstated because it could confer benefits to the investor (owners) and occupants. This study aims to develop a model that could aid in the prediction of operation and maintenance (O&M) costs from the knowledge of building-design variables. There is little evidence that design variables influence the O&M costs of buildings. Therefore, this study investigates the relationship between design variables and O&M costs in commercial buildings with the intent of developing a cost model for estimating O&M costs at the early design phase.

The study was approached quantitatively using a survey strategy. Data for the study were obtained from 30 randomly selected commercial buildings in the CBD in Colombo, Sri Lanka. Pareto's 80/20 rule, correlation and regression analysis were performed on the data to prove the statistical relationships between the buildings' O&M costs and their design variables.

The study found that 12 significant O&M costs elements contribute to about 82% of total O&M costs. Repairs and decoration had a strong correlation with building shape. Furthermore, the regression analysis found that O&M costs values were primarily dependent on the building size (the gross floor area and height of the buildings). The gross floor area and height handled over 73% of the variance in the O&M costs of commercial buildings in Sri Lanka.

These findings are a useful insight into the principles for design economies that could contribute to more sustainable commercial buildings.

Green walls are vertical structures with various plant species that contribute to achieving sustainability in terms of environmental, economic and social aspects. A comparison of green wall performance with a similar type of conventional wall would be the most convincing way of promoting green wall applications than comparing the performance within types of green walls. Hence, this study evaluated the life cycle cost (LCC) of an indirect green facade with a conventional wall in the Sri Lankan tropical climate towards enhancing the adaptation of the green wall concept as an energy-saving solution.

The study involved two stages: (1) assessing the thermal performance and (2) calculating the LCC of the indirect green facade and the conventional wall. On-site temperature measurements were taken from various spots on the exterior and interior wall surfaces of each building in different time intervals per day for 21 days from the end of May to the beginning of July. The LCC analysis was performed using the cost data collected through the market survey and document review.

The temperature difference between the external and internal wall surfaces of the conventional wall (1.06⁰C) is higher than the green wall (0.32⁰C). This implies that green walls help retain 2/3 of the temperature transferred through a conventional wall, thereby reducing the energy requirement for cooling purposes by 70%. Though the initial cost of a green wall is 19% higher than a conventional wall, maintenance costs of green walls result in 29% savings. This results in a 55% overall annual LCC savings compared to conventional walls.

There is a dearth of studies to evidence that the cost performance of green walls is more effective than conventional walls in tropical climates, and this study fulfils this research gap. Thus, the findings would be more convincing to clients towards enhancing green wall applications.

Health-care (HC) is one of the most polluting industries and recognised as the second energy-intensive sector, emitting 8 per cent out of total 40 per cent of total carbon emissions. Integrating sustainability to facilities management operations is imperative and could significantly contribute to reducing energy consumption, waste and day-to-day operational costs of buildings. The integration of sustainability into FM practices depends on factors such as facility type, organisational scale, business sector and organisation characteristics. This paper aims to explore the SFM practice with a specific focus on HC-specific FM services and respective sustainable practice that could be integrated into FM operations.

A Delphi survey was administered to ten experts in two rounds, who are specialised in FM and sustainable practices in the HC sector. Data gathered from the survey were analysed using the Relative Importance Index to identify the most significant FM services and sustainable practices.

The study found 9 significant FM services and 49 sustainable in HC. The top three significant FM services include “building services (BS)”, “space planning (SP)” and “quality management (QM)”. Further, “identifying applications for energy-saving measures” and “ensure onsite, off-site storage and transport of wastes” were found as the topmost significant sustainable practices. The relevancy of these identified sustainable practices to the principles of sustainability was determined. The results showed that 22, 18 and 09 sustainable practices were relevant to environmental, social and economic principles of sustainability, respectively.

There is a dearth of literature that integrates sustainable FM practices in HC sector, and this study fulfills this research gap. The study is novel in offering a framework to integrate sustainability into FM practice in HC sector.

Traditionally, early-stage investment decisions on buildings purely based initial capital costs and simply ignored running costs and total lifecycle cost. This was basically due to the absence of estimating models that yield running costs at the early design stage. Often, when the design of a building, which is responsible for 10–15% of its total cost, is completed, 80% of the total cost is committed. This study aims to develop a building characteristic-based model, which is an early-stage determinant of running costs of buildings, to predict the running costs of commercial buildings.

A desk study was carried out to collect running costs data and building characteristics of 35 commercial buildings in Sri Lanka. A Pareto analysis, bivariate correlation analysis and hedonic regression modelling were performed on collected data.

According to Pareto analysis, utilities, services, admin work and cleaning are four main cost constituents, responsible for 80% of running costs, which can be represented by highly correlated building characteristics of building height, number of floors and size. Approximately 94% of the variance in annual running costs/sq. m is expressed by variables of number of floors, net floor area and working hours/day together with a mean prediction accuracy of 2.89%.

The study has utilised a sample of 35 commercial buildings due to non-availability and difficulty in accessing running cost data.

Early-stage supportive running costs estimation model proposed by the study would enable construction professionals to benchmark the running costs and thereby optimise the building design. The developed hedonic model illustrated the variance of running costs concerning the changes in characteristics of a building.

In Sri Lanka, a limited number of buildings have been certified for incorporation of green features and the reasons are attributed to green building investors who continue to perceive that green buildings are expensive. Further, the green building investors fail to appreciate the subsequent benefits received by those buildings during the operational phase. Therefore, the purpose of this paper is to compare the life cycle cost (LCC) of green certified industrial manufacturing buildings with a similar form of the conventional buildings to establish the economic sustainability of green buildings.

The study involved a comparative case study analysis of two green buildings and a similar natured conventional building. The data required to perform the LCC analysis were extracted through documentary analysis.

The comparative analysis shows that the construction cost of a green industrial manufacturing building is 37 per cent higher than that of a similar natured conventional building while operation, maintenance and the end life cost of green buildings result in 28, 22 and 11 per cent savings, respectively. This results in an overall cost saving of 21 per cent in green buildings.

The current study provides an assessment of the total LCC of green industrial manufacturing buildings. In Sri Lanka, green industrial manufacturing buildings offer LCC saving of 21 per cent over its lifetime compared to similar natured conventional buildings. Thus, comparative analyses would enable green investors to make informed decisions before commissioning their investment in green facilities and thereby promote sustainable construction in Sri Lanka.

The construction industry suffers from significantly large number of insolvencies than other industries due to its inherent characteristics and these have dire consequences on project participants and the industry at large. The purpose of this paper is to determine both the causes of liquidation and the distribution of losses to construction parties through an analysis of liquidators' reports on some construction firms based in New Zealand.

The study collates primary information from Liquidators' reports for firms operating within three main sub‐sectors of the construction industry. The information was then analysed using simple interpretative techniques for the period covering 2005 to 2009. Altogether the data set used for the analyses included 65 construction firms.

The major reasons for construction insolvencies are found to be: financial difficulties due to non‐payment, poor debt management, drop in property prices, and the liquidation of related companies. Other reasons are discussed within the paper. The paper also illustrates that liquidation of construction firms causes payment delays and consequential losses to project stakeholders. The results show that settlements of trade creditors take an average of 18 months and payment is usually not received fully after liquidation proceedings. It is apparent that there is little security for payment losses in construction insolvencies.

In this paper, information on reasons for and the consequences of liquidation provide a valuable thought‐starter for managing payment problems in the construction industry. The paper extends knowledge on possible security to payment losses experienced by lower tier project participants when the upper tiers become illiquid.