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Despite the existence of multiple asset replacement theories, the economic life replacement method remains a major practical technique for making rational machine replacement decisions. The purpose of this paper is to bridge this method with comprehensive data analytic tools and make it applicable it to modern business reality with abundant data on operating and replacement costs.

This study employs operations research, discrete and continuous optimization, applied mathematical modeling, data analytics, industrial economics and real options theory.

Constructed stochastic algorithms extend the deterministic economic life method and are compared to the contemporary theory of stochastic asset replacement based on real options and dynamic programming. It is proven that both techniques deliver similar results when the cost volatility is small. A major theoretic finding is that the cost uncertainty speeds up the replacement decision.

This research suggests that the proposed stochastic algorithms may become an important tool for managerial decisions about replacement of many similar machines with detailed data on operating and replacement costs.

Compared to the real options replacement theory, major advantages of the proposed algorithms are that they work equally well for any distribution of age-dependent stochastic operating cost. The algorithms are tested on a real industrial case about replacement of medical imaging devices. Numeric simulation supports obtained analytic outcomes.

The purpose of this paper is to review maintenance strategies within the healthcare domain and to discuss practical needs as gaps between research and practice.

The paper systematically categorizes the published literature on clinical maintenance optimization and then synthesizes it methodically.

This study highlights the significant issues relevant to the application of dependability analysis in healthcare maintenance, including the quantitative and qualitative criteria taken into account, data collection techniques and applied approaches to find the solution. Within each category, the gaps and further research needs have been discussed with respect to both an academic and industrial perspective.

It is worth mentioning that medical devices are becoming more and more numerous, various and complex. Although, they are often affected by environmental disturbances, sharp technological development, stochastic and uncertain nature of operations and degradation and the integrity and interoperability of the supportability system, the associated practices related to asset management and maintenance in healthcare are still lacking. Therefore, the literature review of applied based research on maintenance subject is necessary to reveal the holistic issues and interrelationships of what has been published as categorized specific topics.

The paper presents a comprehensive review that will be useful to understand the maintenance problem and solution space within the healthcare context.

With ageing hospital facilities spanning the USA, the healthcare construction business continues to grow. Today, questions about replacing existing facilities are becoming more common in hospital boardrooms. Given the above situation, TriBrook Healthcare Consultants were recently retained to determine the market, operational and financial impact which facility redevelopment has had on other hospitals and health systems. Out of that effort came this paper. This paper assesses: the factors which are fuelling replacement facility growth; the impact that redevelopment has on market, operational and financial performance; an integrated development process to help organisations determine the feasibility of designing a new facility; and lessons learned working with clients who have pursued a replacement facility strategy. The objective of this effort is to provide hospital executives and board leaders with information that will be useful in reaching a final decision regarding execution of a replacement strategy.

Studying the availability of medical equipment based on various maintenance types has been a major concern for hospitals. Most of the methodologies used are empirical and few are based on mathematical modelling. The objective of this paper is to present a mathematical maintenance model that analyses the effect of maintenance on the survival probability of medical equipment based on maintenance history and age of that equipment.

A global model is proposed to measure the probability of equipment being available using real data extracted from maintenance history of infusion pumps and ventilators and analysed using Matlab. To confirm the validity of the developed model, the survival analysis approach is used to develop a model that measures the survival of equipment as a function of maintenance and age of equipment. The method is first tested using simulated data and the findings confirm the validity of the proposed approach.

The analysis using survival approach reveals that conducting preventive maintenance (PM) on the selected medical equipment had an impact on survival of equipment. However, the manufacturer's recommended PM intervals do not correlate to the failure rate encountered. This will contribute to the debate on PM manufacturer's recommended intervals and might lead to the revision of maintenance strategies implemented by hospitals and clinical engineering (CE) practitioners.

Although the data collected for the infusion pumps were quite sufficient, that collected for the ventilators were more limited. The major difficulty is that of the availability of historical maintenance data and the effect of user errors may cause uncertainty in the analysis. A closer collaboration with the medical professional should facilitate the recording and access to such information.

The use of mathematical modelling to analyse the effect of maintenance on the survival of medical equipment is a beneficial tool that is not exploited in the medical equipment industry. It will provide CE practitioners with scientific tool to analyse the effect of PM on the survival of medical equipment.

This paper presents a mathematical approach to analyse the effect of maintenance on the survival of medical equipment, which is crucial in the assessment of maintenance strategies implemented in the medical equipment industry.

A replacement model over two cycles, with decision variables based on age at replacement of the current fleet and size of the new fleet is considered. In order to consider both age at replacement and fleet size, the concept of penalty cost for unmet demand is introduced and modelled using results from birth‐and‐death processes. Optimal values for decision variables may be found through minimization of the total discounted cost per unit time or the equivalent rent value. The role of the penalty cost and its influence on decision variables is emphasized. A numerical solution is proposed and illustrated using data on a particular fleet of medical equipment.

The construction industry contributes significantly to national economic growth and offers substantial opportunities for job creation; however, the industry has continually been plagued by workplace accidents. Moreover, employers may not realize the economic magnitude of workplace injury and ill health arising from construction activities. These accidents represent a considerable economic and social burden to employers, employees and to the society as a whole. Despite governments and organisations worldwide maintaining an ongoing commitment towards establishing a working environment free of injury and disease, a great deal of construction accidents continues to frequent our society. The purpose of this study is to conduct an analysis of a sample of 100 construction accident reports to establish, as far as practically reasonable, the total costs of limited types of construction accidents. Costs attributable to each of these accidents were classified either as direct or indirect costs. Through an exhaustive and time-consuming investigation of all available records from various sources and/or kept in various departments, the individual costs were correlated to the various direct and indirect categories.

This particular study is a combination of explanatory and collective case study approaches, whereby causal effects are determined or a course of events is examined from multiple cases. The preferred form of data collection is left to the researcher to decide (Yin, 2003). When a researcher is considering “how” or “why” questions, a contemporary set of events using primary and secondary documents, over which the researcher has little or no control, the case study approach is feasible (Yin, 2009).

The costs of construction accidents for the same sample of 100 construction analysed in this study has been estimated at a staggering R32,981,200. Of this total, R10,087,350 has been attributed to direct costs and R22,893,850 has been attributed to indirect costs. The costs of construction accidents are based on four cost components: sick pay, administrative costs, recruitment costs and compensation and insurance costs. It should be noted that the estimates of the costs to employers presented in this study are reflective of the activities and incidents of the reviewed organisation and may not necessarily represent another organisation. The costs of construction accidents values presented in this study reveal that construction accidents present a substantial cost to employers and to the society at large, inclusive of both the direct and indirect costs. It is therefore in the best interest of the employer to identify progressive and advanced approaches to more effectively manage construction health and safety, consequently society at large will benefit tremendously.

Given the high rate of construction accidents experienced, employers are not entirely mindful of the actual costs of construction accidents, especially when considering the hidden or indirect costs of accidents. Various safety research efforts have attempted to quantify the true costs of worker injuries; however, localised systematic information on cost of construction accidents at work is not readily available from administrative statistical data sources; therefore, this study was carried out to estimate the costs, like lost workdays or lost income, are clearly visible and can readily be expressed in monetary value; for a large part,0 however, economic consequences of accidents are somewhat hidden.

The purpose of this paper is to collect information about barriers and enablers experienced by international experts when transferring medical equipment to countries affected by humanitarian emergencies and to discuss the suitability of the principles of “openness”, “interconnections” and “non-linearity” of systems to understand the nature of the barriers and enablers as described by the international experts.

In this study, six semi-structured interviews were conducted with experts from humanitarian organizations. The interviews were based on a simplified model of the transfer of medical equipment adapted from supply chain literature. The model ensured that all the process steps undertaken by humanitarian organizations were considered. Afterwards, the interviews were transcribed and structurally analysed to derive barriers and enablers. Finally, the results were described in light of three theoretical principles of systems thinking.

In total, 14 types of barriers and 12 types of enablers were uncovered that illustrate the complexity of transferring medical equipment in humanitarian emergencies. The paper concludes with a proposal for future research to investigate if, and how, an approach guided by systems thinking could help to create a designated space for the formulation of original, synergetic solutions that address the identified barriers.

This study is the first to explore the specific logistic challenges implicit in the transfer of medical equipment in humanitarian emergencies with a lifecycle perspective. Furthermore, the concept of systems thinking is rather novel in the field of transfer of medical technology.

Effective maintenance management of medical equipment is one of the major issues for quality of care and cost-effectiveness especially in modern hospitals. An effective medical equipment maintenance management (MEMM) consists of adequate planning, management and implementation. This is essential for providing good health services and saving scarce resources. Considering the importance of the subject, the purpose of this paper is to extract the influential factors on MEMM using a qualitative approach.

Documents review and interviews were main methods for data collection. Semi structured interviews were conducted with a purposive sample of 14 clinical engineers with different degree of education and job levels. Interviews were voice recorded and transcribed verbatim. Qualitative data were analyzed using a content analysis approach (inductive and deductive) to identify the underlying themes and sub-themes.

Factors influencing an effective and efficient MEMM system categorized in seven themes and 19 sub-themes emerged. The themes included: “resources,” “quality control,” “information bank,” “education,” “service,” “inspection and preventive maintenance” and “design and implementation.”

The proposed framework provides a basis for a comprehensive and accurate assessment of medical equipment maintenance. The findings of this study could be used to improve the profitability of healthcare facilities and the reliability of medical equipment.

The Equal Pay Act 1970 (which came into operation on 29 December 1975) provides for an “equality clause” to be written into all contracts of employment. S.1(2) (a) of the 1970 Act (which has been amended by the Sex Discrimination Act 1975) provides:

The authors consider a system which is a part of a complex equipment (e.g. aircraft, automobile, medical equipment, production machine, etc.), and which consists of N independent series subsystems. The purpose of this paper is to determine simultaneously the system design (reliability) and its preventive maintenance (PM) replacements periodicity which minimize the total average cost per time unit over the equipment useful life, taking into account a minimum required reliability level between consecutive replacements.

The problem is tackled in the context of reliability-based design (RBD) considering at the same time the burn-in of components, the warranty commitment and the maintenance strategy to be adopted. A mathematical model is developed to express the total average cost per time unit to be minimized under a reliability constraint. The total average cost includes the cost of acquiring and assembling components, the burn-in of each component, preventive and corrective replacements performed during the warranty and post-warranty periods. A numerical procedure is proposed to solve the problem.

For any given set of input data including components reliability, their cost and the costs of their preventive and corrective replacements, the system design (reliability) and the periodicity of preventive replacement during the post-warranty period is obtained such as the system’s total average cost per time unit is minimized. The obtained results clearly indicate that a decrease in the number of PM actions to be performed during the post-warranty period increases the number of components to be added at each subsystem at the design stage.

Given that the objective function (cost rate function) to be minimized is non-linear and involves several integer variables, it has not been possible to derive the optimal solution. A numerical procedure based on a heuristic approach has been proposed to solve the problem finding a nearly optimal solution for a given set of input data.

This paper offers to manufacturers a comprehensive approach to look for the most economical combination of the reliability level to be given to their products at the design stage, on one hand, and the PM policy to be adopted, on the other hand, given the offered warranty and service for the products and reliability requirements during the life cycle.

While the RBD problem has been largely treated, most of the published works have focussed on the development or the improvement of solving techniques used to find the optimal configuration. In this paper the authors provide a more comprehensive approach that considers simultaneously RBD, the burn-in and warranty periods, along with the maintenance policy to be adopted. The authors also consider the context of products whose component failures cannot be rectified through repair actions. They can only be fixed by replacement.