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People donate to charities with the aim of improving society. Yet, many charities fail to use donations efficiently or have ineffective interventions. The authors explore the strategic operational priorities and processes that enable charities to efficiently implement their interventions and have a positive impact on society.

The authors first review the literature on charities to gain a deeper understanding of the current state of knowledge on charity operations. The authors then employ the lens of paradox theory and perform a qualitative investigation of six case studies to explore various aspects of the operations of charities that are known for being cost-effective.

The authors reveal how the strategic operational decisions of charities, as well as the processes they implement, help them resolve the tensions arising from the cost-effectiveness paradox. The authors show that cost-effective charities make strategic operational decisions that help maintain two diverging priorities: prioritizing the status quo and prioritizing change in how they deliver value. Another set of strategic decisions helps balance these two diverging priorities. The authors then show how these charities create and then maintain cost-effective operations.

The authors address recent calls for research on non-profit organizations in the field of operations management. To authors’ knowledge, it is the first in-depth study of exemplary charity operations. The results can be used by charity executives as a benchmarking tool when they develop and implement their charitable interventions and by government agencies and potential donors when they select charities for their donations. Finally, the results should have implications for other organizations trying to have a positive societal impact.

The chapter estimates the cost of maintaining a child, at different ages, the cost of being single, and the cost of additional adults present in a family, with the aim of making comparable the income levels of different households. The study investigates the issue of econometric identification of equivalence scales within a demand system modified to include demographic characteristics consistently with economic theory. It shows that a robust estimation of equivalence scales must take into formal consideration the problem of econometric identification. The estimate also puts forward all-encompassing demographic specifications to identify costs due to differences in needs, household lifestyles, and economies of scale.

The purpose of this paper is to present the use of activity-based costing (ABC) approach as an alternative option to the traditional cost accounting system. The contribution of this study is to demonstrate, through a simple example, the application of that costing system in a service (maintenance) industry, i.e. the paper intended to develop a procedure for a cost model that help in calculating any maintenance job cost, to a reasonable degree of accuracy, based on the actual activities performed.

This research uses a simple example whereby hypothetical activities and cost data of maintaining an injector and a pump, of an internal combustion engine, are used, presented and analyzed based on the use of the developed procedure.

ABC system provides more accurate cost estimates rather than the traditional “order costing” methods that uses unit-level costs which are variable in relation to change in service volume. Traditional cost methods distort the costs by applying overhead uniformly over different jobs of varied complexities and activities scope. On the other hand, ABC is a useful means to distribute the overhead costs in proportion (fairly) to the actual activities performed in a specific job and, hence, enhance the rationality of decision making, i.e. will not distort the accounting information used for cost reduction, pricing, and evaluation matters. The results obtained from the analysis showed that allocating costs to the maintained injector decreased from $83.55 to $71.95 and, finally, to $67.57 when using the workshop-wide, two-stage and ABC overhead allocation methods, respectively; while that of the pump increased from $298.90 to $340.34 and, finally, to $359.48 when using the same three methods, in the same order, respectively. The result is quite fair when considering the complexity of the fuel pump, in terms of design and maintenance, when compared with the injector. Notice that using volume to allocate overhead costs results in over costing high-volume products, e.g. injectors (simple in terms of design and operation) and under costing low-volume products, e.g. pumps (more complex in terms of design and operation). The paper recommends to use ABC as a more accurate and fair method when charging maintenance job orders based on the analysis of costing two maintained items in the same premise while consuming different overhead resources.

This study attempts to analyze different methods to calculate a specific corrective maintenance job order. It strives to remedy the drawbacks of the traditional overhead costing of a job order when using principles related to the size of service, such as the direct labor cost/hours, as an allocation base. Consequently, the study proposed a new costing method, i.e. application of ABC. The traditional costing approach is considered by many firms as the best costing method. Nevertheless, it allocates overhead cost over job performed uniformly (equally) not differentiating between the complexity of the job and variety of the activities performed, e.g. using the same allocation base for “oil change” and “fuel pump adjustment” activities. So, ABC prevents cost distortions (unfairness) that could not be prevented by traditional cost accounting system. The author believes that the method presented in this paper will provide a useful management tool for costing maintenance jobs based on the appropriate selected activity drivers in maintenance workshops. The method could be applied for costing maintenance activities in maintenance of all industrial sectors.

The use of traditional costing method has proven to be distorted by applying overhead uniformly over different jobs of varied complexities and activities scope. In this paper the authors strive to present an effective costing alternative that outperforms the traditional ones with regard to overhead allocation. The paper aims to find reliable and fair maintenance costing method, i.e. to find out the relationships between maintenance activities and cost drivers. Although, ABC is widely used in manufacturing industry, no application or current research has presented an applicable thorough worked-out example, with the exception, to the author’s knowledge, of one in the aeronautical industry, to implement ABC method in maintenance industry. The importance of using this method comes from the fact that it provides, relatively, accurate and fair maintenance bills that provide customer satisfaction and firm good image. Hence, the paper is relevant in this respect and intended to contribute to the practice of maintenance management.

In the era of competitive global environment and technology‐based organizations managers are, more than ever, pressured to find ways to maintain their competitive advantage. In order to achieve and sustain a competitive advantage, managers must examine the internal processes of their companies. The firm produces products or provide services by performing a set of activities that create value. Increasing the value of these activities can increase the competitive advantage of a firm. There are several methods that have been developed for adding value to the core activities in the firm. One method that is gaining popularity among companies is activity‐based cost management (ABCM). ABCM as a system can provide managers with a strategic view of the activities that are essential to the competitive nature of the enterprise.

The study sought to determine the direct and indirect costs of hospitalization incurred by the provider and consumer in a public funded tertiary care hospital in Islamabad, Pakistan. The cost per hospital bed per day in both medical and mixed specialty wards was determined in terms of infrastructure, manpower, diagnostic investigations, drugs and utilities, and the cost to the hospitalized individual in terms of transport, food, drugs, investigations, and indirect costs such as time and material requirements of relatives or friends resulting from and associated with the hospitalization. The average daily cost per occupied bed to the institution amounted to Rs. 777 (US $ 18.95) per day. The average cost borne by the patient was Rs. 1,071 (US $ 26.10) per day or 58 percent of the total daily cost of a (medical) bed. A disproportionate share of this expense was under specific subheadings, namely purchase of medicines, laboratory services, transportation and food. Study findings confirm that in contrast to stated national policy, stationary health care is not only not free but that the consumer may end up directly paying more than the state for the services she/he receives.

This article draws from “institutional” labour economics and mainstream industrial relations, but differs from the more usual uses of their ideas in a number of ways. For example, the observation we make, that wages and prices are “sticky” downwards and that labour markets respond to falls in demand by employment and quantity adjustments, is not new. Similarly, the idea that labour markets are different from “normal” commodity markets is not of recent origin Hence, while Clay and Hicks were making such observations and speculating on the labour relations consequences of them, Keynes was using the concept of wage rigidity (stickiness) as a central building block in his General Theory which dealt with the conditions for macro‐economic equilibrium.

Reconfigurable vibrating screen (RVS) is an innovative beneficiation machine designed at Tshwane University of Technology, Republic of South Africa (RSA); with adjustable screen structure to ensure sorting, sizing and screening of varying mineral particles (sizes and quantities) demanded by the customers in a cost-effective manner through the screen structure geometric transformation. In order to ensure that this machine is optimally maintained and managed when utilized in surface and underground mining industries, there is a need to establish or ascertain the best maintenance practices that would be used in optimally managing the RVS machine using decision making techniques. In view of this, the purpose of this paper is to ascertain the best maintenance practices that would be used to optimally maintain and manage the RVS machine when used in surface and underground mines.

Decision making techniques such as weighted decision matrix (WDM) and analytical hierarchy process (AHP) were used in this research work to establish the best maintenance practice for optimally maintaining and managing the RVS machine using relevant literature survey on maintenance management systems as well as the different maintenance criteria decision indices obtained from different conventional vibrating screen machine manufacturers and maintenance experts.

Based on the results obtained from the WDM analysis, it was anticipated that e-maintenance (e-M) system embedded with diagnosing and prognosing algorithms; with a cumulative weight score of 2.37 is the best maintenance practice for managing the RVS machine when used in surface mines, while AHP with deeper decision making analysis anticipated that the robotic-driven maintenance (RM) system with an important decision criteria; safety, and a cumulative hierarchy score of 28.6 percent, supported by e-M management system with a cumulative hierarchy score of 17.6 percent are the best maintenance mix that could be used in optimally maintaining and managing the RVS machine, when used in a craggy and hazardous underground mining environment.

To this effect, it could be anticipated that e-M management system (endowed with the ability to detect fault on the machine, diagnose and prognose the different subsystems of the RVS machine and ascertain the reconfiguration time and process of the RVS machine in recovering production loss during the maintenance of the machine as well as meeting customers demand, etc.) is the best maintenance practice for optimally maintaining the RVS machine when utilized in surface mines while both e-M management system and RM management system (endowed with the ability to carry out automated maintenance tasks achievement under little or no maintenance manager intervention) are also anticipated as the best customized maintenance practices mix that could be used in optimally maintaining the RVS machine, when used in dangerous and hazardous underground mining environment.

This maintenance management system evaluation and selection for optimal RVS machine functionality will serve as a useful information to different mining machines (and other related machines) maintenance managers, in selecting the best maintenance management system for ensuring optimal functionality, reliability and maintainability of machines used in their industries.

The purpose of this paper is to simulate the environmental cost reports preparation used to measure environmental performance in realizing eco-efficiency.

This research uses a descriptive case study by using environmental cost detail data from 2011, 2012, 2013 and 2014. The research object is PT Industri Kereta Api (Persero) located in Madiun, East Java.

The result of the research shows that PT INKA (Persero) has not specifically made environmental cost report. It is found that the percentage of total environmental cost to operational cost tends to increase; the cost which gives the biggest distribution of total environmental cost is the prevention cost. By 2014, the effect of environmental costs on operating costs tended to decrease and during 2012–2014 PT INKA successfully maintained the blue star PROPER and the absence of environmental pollution reports.

PT INKA’s environmental performance is still well controlled and since its inception in 2014 PT INKA has succeeded in realizing the concept of eco-efficiency.

The purpose of this paper is to explore different aggregate production planning (APP) strategies (inventory levelling, validation of the workforce and flexible production alternatives: overtime and/or outsourcing) by using a system dynamics model in a two-level, multi-product, multi-period manpower intensive supply chain (SC). Therefore, the appropriateness of using systems dynamics as a research method, by focusing on managerial applications, to analyse APP policies is proven. From the combination of systems dynamics and APP, recommendations and action strategies are considered for each scenario to understand how the system performs and to improve decision making on APP in the SC context.

The research design analyses a typical factory setting with representative parameter settings for five different conventional APP policies – inventory levelling, workforce variation, overtime, outsourcing and a combination of overtime and outsourcing – through deterministic systems dynamics-based simulation. In order to validate the simulation model, the results from published APP models were replicated. Then, optimisation is conducted for this deterministic setting to determine the performance of all these typical policies with optimal parameter settings. Next, a Monte Carlo stochastic simulation is used to assess the robustness of such performances in a variety of demand settings. Different aggregate plans are tested and the effect that events like demand variability and production times have on the SC performance results is analysed.

The results support the assertion that the greater the demand variability, the higher the flexibility costs (overtime, outsourcing, inventory levelling, and contracts and firings). As greater inter-month oscillations appear, which must be covered with additional alternatives, the optimum number of employees must be determined by analysing the interchanges and marginal costs between capacity oversizing costs (wages, idle time, storage) and the costs to undersize it (penalties for lowering safety stocks, delayed demand, greater use of overtime and outsourcing). Accordingly, controlling the times to avoid increased costs and penalties incurred by delayed demand becomes an essential important task, but one that also depends on the characteristics of this variability.

This paper has developed a modelling approach for APP in a manpower intensive SC by applying system dynamics. It includes a simulation model, the analysis of several scenarios, the impact on performance caused by variability events in the parameters, and some recommendations and action strategies to be subsequently applied. The modelling methodology proposed can be employed to design-specific models for each SC.

This paper proposes an APP system dynamics approach in a two-level, multi-product, multi-period manpower intensive SC for the first time. This model bridges the gap in the literature relating to simulation, specifically system dynamics and its application for APP. The paper also provides a qualitative description of the various pros and cons of each analysed policy and how they can be combined.