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The purpose of this paper is to investigate the influence of question type (open-ended, prompted, reverse order and chronological order recall) on children’s ability to maintain a truth or a lie in a two-part mock-courtroom study.

In total, 96 children (M _age=131.00 months) between 9 and 12 years of age were asked to testify about an interaction with a research assistant the week prior. They were assigned to one of four conditions (true/false×assertion/denial).

Results indicate that question type has an influence on children’s ability to maintain their condition. Results also indicate that regardless of question type, children have difficulty recalling information sequentially.

Implications of the current research support the use of various question types, including increasing the cognitive load demands, when interviewing children.

To date, this is the first study to investigate the use of reverse order questioning in a courtroom study with children.

Precise and logical plant maintenance evaluation, which enables enterprise to distinguish its most suitable maintenance pattern for application, is the base of improvement in plant maintenance. In this paper a new method based on data envelopment analysis (DEA) is proposed to evaluate the relative efficiency of plant maintenance. In this method, a systematic functional model is built to analyze the input/output of plant maintenance, which is processed as a service system, and DEA is applied as a calculate model for plant maintenance evaluation. Practical implications. The aim of this work is to provide management with a method to evaluate and quantify the relative efficiency of plant maintenance among a group of units. The maintenance pattern, scheme and experience of the relatively effective unit are guidance to others in improving themselves in plant maintenance and the quantified evaluation result points out the detailed maintenance limitation of relatively less efficient units so that the management can make corresponding improvement scheme.

With the shift of manufacture to mainland China, the utility and building services industries in Hong Kong have become dominant. To ensure adherence to proper routine operations and the provision of quality services, the equipment of these sectors must be maintained in good condition. The results of a recently conducted survey indicate that equipment failure‐driven and time‐based maintenance are most commonly used in Hong Kong. Only a few companies use condition‐based preventive maintenance. This paper presents an overview of maintenance practice in Hong Kong, and introduces the novel concept of intelligent predictive maintenance. In this maintenance system, the seriousness of the damage that is caused by faults in equipment can be determined, and the remnant life of the defective equipment can be predicted. Moreover, the system can automatically schedule maintenance activities in an efficient manner. With such abilities in equipment prognosis and automatic maintenance scheduling, the “fire‐fighting” situations that often occur in failure‐driven and time‐based maintenance can be avoided. Hence, any waste of resources and loss of production that are due to the mismanagement of maintenance can be substantially reduced.

The purpose of this paper is to develop a stochastic detailed schedule for a preventive/scheduled/periodic maintenance program of a military aircraft, specifically a rotorcraft or helicopter.

The new model, entitled the military “periodic aviation maintenance stochastic schedule” (PAM-SS), develops a stochastic detailed schedule for a PUMA SA 330SM helicopter for the 50-h periodic inspection, using cyclic operation network (CYCLONE) and Monte Carlo simulation (MCS) techniques. The PAM-SS model identifies the different periodic inspection tasks of the maintenance schedule, allocates the resources required for each task, evaluates a stochastic duration of each inspection task, evaluates the probability of occurrence for each breakdown or repair, develops the CYCLONE model of the stochastic schedule and simulates the model using MCS.

The 50-h maintenance stochastic duration follows a normal probability distribution and has a mean value of 323 min and a standard deviation of 23.7 min. Also, the stochastic maintenance schedule lies between 299 and 306 min for a 99 per cent confidence level. Furthermore, except the pilot and the electrical team (approximately 90 per cent idle), all other teams are around 40 per cent idle. A sensitivity analysis is also performed and yielded that the PAM-SS model is not sensitive to the number of technicians in each team; however, it is highly sensitive to the probability of occurrence of the breakdowns/repairs.

The PAM-SS model is specifically developed for military rotorcrafts, to manage the different resources involved in the detailed planning and scheduling of the periodic/scheduled maintenance, mainly the 50-h inspection. It evaluates the resources utilization (idleness and queue), the stochastic maintenance duration and identifies backlogs and bottlenecks.

The PAM-SS tackles military aircraft planning and scheduling in a stochastic methodology, considering uncertainties in all inspection task durations and breakdown or repair durations. The PAM-SS, although developed for rotorcrafts can be further developed for any other type of military aircraft or any other scheduled maintenance program interval.

The vast majority of contemporary social scientists have distanced themselves from moral reflection and the academic disciplines that engage in it. Throughout his long career Philip Selznick took a different path, engaging deeply with the moral content of the concepts he employed. This paper argues that he had good reasons to do so. Value neutrality in social research can fatally sever inquiry’s connection to the practical concerns that originally motivated it, and it can distort our understanding of those concerns by recasting them in a scientific mold. To make this case I draw from a long tradition of philosophical thought about the relationship between facts and values, and I illustrate it by examining the limitations of recent social science research about procedural justice in organizations and the order maintenance function of the police.

Maintenance management information technology (MMIT) systems have existed for some 40 years. The purpose of this paper is to investigate the advancement of these systems and compares the development of MMIT with other corporate information technology (IT) systems.

This paper is a literature study of 97 scientific papers within the topic of MMIT in the period 1988 to 2003. Additional readings have been made in books covering MMIT.

The paper finds that the focus of MMIT has changed in several aspects during the 40 years that have been investigated; from technology to use; from maintenance function to maintenance as an integrated part of the business; from supporting reactive maintenance to proactive maintenance; and from operative to strategic maintenance considerations. Advancements in MMIT have in general followed the development of corporate IT.

Further studies to cover application‐specific development, for instance the use of decision support systems within maintenance management and to cover literature after 2003, are of interest.

Knowledge about the development of MMIT adds to the understanding of today's computer applications for maintenance management, which is crucial for every maintenance manager using or purchasing MMIT. The findings could be used as a means to identify the future trends of MMIT, as well as possibilities and problems with the new technology, tools, techniques and methods.

Papers dealing with the development of maintenance management IT are scarce and this paper represents the first full review of MMIT so far.

Suggests that maintenance should be proactive and that a modern maintenance department should be a leader in the management team. Considers factors such as scheduling and capacity planning. Looks at traditional maintenance and reliability‐centred maintenance as well as factors relating to people, e.g. teamwork. Focuses on asset management and the various elements involved. Considers how availability based maintenance links with factors such as asset management and makes recommendations for good practice.

Maintenance represents a significant proportion of the overall operating costs in the mining industry. Despite the large cost of maintenance, management has only given passing attention to the optimization of the maintenance process. The focus has remained on the optimization of mine planning and operations where all the low hanging fruit was picked years ago. Recent initiatives in the field of mobile equipment maintenance have been in the area of remote condition monitoring. In order for an advanced maintenance technology to succeed it must have a strong philosophical basis and the supporting hardware and software infrastructure. A high bandwidth radio network, reliable interfaces, and a real‐time maintenance management system will enable remote condition monitoring systems. Explores reliability centered maintenance, remote condition monitoring, and the use of production and maintenance data for real‐time interactive maintenance management.

There are limited studies addressing how choosing a maintenance strategy can contribute towards maximising outputs from given inputs, thereby minimising costs and improving a company’s competitiveness. The analytic hierarchy constant sum method (AHCSM) is used to access the appropriateness of maintenance strategies for improving the overall efficiency of a structural steel fabrication construction company.

A semi-structured interview was formulated with the stakeholders of the quality department to understand the company’s maintenance portfolio and its current functional capability. The information from this case study was then dissected to represent the factors that the company deemed appropriate for evaluating their maintenance strategy. The AHCSM approach provided a framework, which ranked the importance of factors that are sensitive to the construction industry and rank the suitability of maintenance strategies.

Factors affecting the selection of maintenance strategies to improve business efficiency are productivity, quality, reliability, cost, safety and work environment, morale, inventory and flexibility. Total productive maintenance strategy produces the most desirable outcome; however, the predictive or condition-based maintenance strategy provides an optimum solution for the case study company while considering the equipment usage, frequency of production and the current economic climate.

The approach presented allows practitioners to consider ways to increase the level of production and improve the efficiency of construction businesses without a high increase in investment. The findings can inform gaps in existing maintenance approaches in achieving business objectives.

The purpose of the paper is to find out the knowledge requirements and its effect on both onsite and offshore project work division for development, re-engineering and maintenance projects in Indian outsourcing software industry in different phases of software development.

This study employs an expert interview approach in Indian software industry to find out knowledge requirement for project execution and division of work between onsite and offshore locations. The requisite data were collected through expert interviews and direct observations.

The study found that the development projects require higher level of domain, strategic, business process and operation process knowledge in comparison to re-engineering and maintenance projects. So there is a need of higher onsite presence in development projects. The maintenance work is taken up at the offshore location in a phase-wise manner.

The implication of the study is in the development of a broad framework of knowledge requirements and work division in on-shore and offshore locations for Indian software outsourcing projects. As the study is based on expert opinion in the context of India, it cannot be generalized for outsourcing scenarios elsewhere.

The software project manager can use the findings to get more insight into the project and divide the software team between onsite and offshore location.

The study is novel, as there is little attempt at finding the knowledge requirement to execute various kinds of business software development in outsourcing environment in the context of India.