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Although the hospitality sector is considered the most active and profitable sector in the Egyptian economy, it suffers from the non-stop immigration of skilled manpower and the high rates of labor turnover. One of the apparent solutions for this problem that could be implemented is empowering Egyptian females to play an active role in the success of this sector. Females faced many obstacles while working in hospitality, including prevailing social perception, the culture of shame, the traditional negative view of feminine hoteliers, long working hours and the shift system, which led to weak females' desire to enroll in the hospitality field. The study aims to determine how empowering Egyptian women in the hospitality industry affects staff turnover.

To achieve the aim of the study, a sample of four- and five-star resorts in Red Sea, Egypt, was under study. A self-administrated questionnaire was addressed to female hotel employees, and 140 forms were statistically analyzed in addition to 14 semi-structured interviews with hospitality experts.

The study recommends that hotels should start re-tailoring policies to activate Egyptian females' role in reducing the high rate of hospitality labor turnover through increasing their work engagement (WENG) (as a mediator) by adopting a decent work environment and motivating them to get promoted to hold senior positions.

In spite of some noteworthy contributions, the authors would like to point out certain shortcomings. The sample was homogeneous, consisting of female hotels employees in Egypt, but the findings are generalizable to other Arabian communities. Nonetheless, the authors feel that they have supplied some suggestive evidence, even for the most careful reader who wants to further study these elements of working attitudes in the hotel business.

According to the authors' knowledge, this study is among the few studies covering females' reluctance to continue working in the hospitality field.

The purpose of the study is to examine the moderating effects of support service quality (SSQ) on marketing information services sophistication (MISS) and bank’s core competencies within banking sector.

To collect the data, the questionnaire approach and random sampling are chosen. The survey sample consisted of 180 banking branches information technology managers in Sudan’s banking industry.

The study evidenced that the effect of SSQ on the relationship between MISS and bank’s core competencies is a quasi-moderator and also indicate that the two components of MISS are positively and significantly associated with bank’s core competencies.

The study is conducted in Sudan banking industry and generalization could be limited. Future studies will replicate the study in different industries or countries.

For the managers’ practice, the findings showed that MISS can deliver superior performance and efficiency (such as proper work flow, employee satisfaction, reducing complaints or enquiries and competitive capabilities) if it reinforced or strengthened by SSQ.

Empirical results support the positive link between MISS, SSQ and top core competencies. The benefit of that contribution is performance excellence competencies at the market.

The aim of this paper is to present a synthetic chart based on the non‐central chi‐square statistic that is operationally simpler and more effective than the joint X¯ and R chart in detecting assignable cause(s). This chart will assist in identifying which (mean or variance) changed due to the occurrence of the assignable causes.

The approach used is based on the non‐central chi‐square statistic and the steady‐state average run length (ARL) of the developed chart is evaluated using a Markov chain model.

The proposed chart always detects process disturbances faster than the joint X¯ and R charts. The developed chart can monitor the process instead of looking at two charts separately.

The most important advantage of using the proposed chart is that practitioners can monitor the process by looking at only one chart instead of looking at two charts separately.

Sets out to develop an integrated model that considers simultaneously inventory production decisions, PM schedule, and warranty policy for a deteriorating system that experiences shifts to an out of control state. The time to shift follows a general probability distribution with increasing hazard rate, so that time‐based PM is effective in improving the system reliability.

A profit function is used to model the production system. Optimization techniques are used to generate optimal solutions for the problem. Although global optimality cannot be guaranteed, empirical results show that global optimal solutions are obtained.

The integrated model provides decisions on inventory levels, production run length, and PM schedule simultaneously. It is illustrated through numerical examples that investment in PM can lead to savings in warranty claims for repairable products. As a result, the overall profit per unit, in certain cases, is higher with PM than without PM.

The production system is taken, numerical examples are presented and a sensitivity analysis is conducted to gain more insight into the developed model. In particular, the numerical analysis shows that a better PM program reduces warranty claims.

In addition to the joint optimization of production/inventory decisions and PM schedule, such models can be very useful in making resource allocation decisions between warranty and PM programs. It is clear from the numerical analysis that a better PM program reduces warranty claims.

The paper provides a joint optimization of production inventory decisions and the PM schedule for a system subject to a time to shift that follows a general probability distribution. Previous research considered only an exponential distribution and did not consider PM.

The purpose of this paper is to develop a procedure for deciding on the limits of initial clearance to which tubesheet holes can be enlarged before replacement in heat exchanger maintenance.

An empirical model that relates the hardness of roller expanded tubes and ligaments to initial clearance is developed from experimental data to predict the extent of tolerable levels of over‐enlargement of tubesheet holes before the joint loses its structural integrity. The developed model serves as an additional criterion to decide whether to keep or discard a tubesheet having over‐enlarged holes during heat exchanger maintenance.

The current industrial criterion does not directly include the effect of material degradation for over‐enlarged holes. The empirical models indicate that both tubes and ligaments suffer strain hardenings. A new procedure is proposed to supplement the current industrial criterion.

The procedure will assist maintenance managers/engineers in deciding on the replacement of heat exchanger tubesheets. The combined criteria will have an impact on the cost of heat exchanger maintenance and plant downtime.

The procedure proposed in this paper adds to the industrial criterion another one that caters for the degradation in properties that the tube, tubesheet, and surrounding ligaments will be subjected to during roller expansion. In other words, it considers the strain hardening of the tube and tubesheet materials in setting the initial clearance between the tube and tubesheet that ensures adequate joint integrity.

The aim of this research is to determine the optimal upgrade and preventive maintenance actions that minimize the total expected cost (maintenance costs+penalty costs).

The problem is a four‐parameter optimization with two parameters being k‐dimensional. The optimal solution is obtained by using a four‐stage approach where at each stage a one‐parameter optimization is solved.

Upgrading action is an extra option before the lease of used equipment, in addition to preventive maintenance action. Upgrading action makes equipment younger and preventive maintenance action lowers the ROCOF.

There is a growing trend towards leasing equipment rather than owning it. The lease contract contains penalties if the equipment fails often and repairs are done within reasonable time period. This implies that the lessor needs to look at optimal preventive maintenance strategies in the case of new equipment lease, and upgrade actions plus preventive maintenance in the case of used equipment lease. The paper deals with this topic and is of great significant to business involved with leasing equipment.

Nowadays many organizations are interested in leasing equipment and outsourcing maintenance. The model in this paper addresses the preventive maintenance problem for leased equipment. It provides an approach to dealing with this problem.

This paper aims to discuss and bring to the attention of researchers and practitioners the data management issues relating to condition‐based maintenance (CBM) optimization.

The common data quality problems encountered in CBM decision analyses are investigated with a view to suggesting methods to resolve these problems. In particular, the approaches for handling missing data in the decision analysis are reviewed.

This paper proposes a data structure for managing the asset‐related maintenance data that support CBM decision analysis. It also presents a procedure for data‐driven CBM optimization comprising the steps of data preparation, model construction and validation, decision‐making, and sensitivity analysis.

Analysis of condition monitoring data using the proportional hazards modeling (PHM) approach has been proved to be successful in optimizing CBM decisions relating to motor transmission equipment, power transformers and manufacturing processes. However, on many occasions, asset managers still make sub‐optimal decisions because of data quality problems. Thus, mathematical models by themselves do not guarantee that correct decisions will be made if the raw data do not have the required quality. This paper examines the significant issues of data management in CBM decision analysis. In particular, the requirements of data captured from two common condition monitoring techniques – namely vibration monitoring and oil analysis – are discussed.

This paper offers advice to asset managers on ways to avoid capturing poor data and the procedure for manipulating imperfect data, so that they can assess equipment conditions and predict failures more accurately. This way, the useful life of physical assets can be extended and the related maintenance costs minimized. It also proposes a research agenda on CBM optimization and associated data management issues.

The aim of the paper is to present the impact of human errors in maintenance as found in the literature in order for practitioners to be aware of their impact and develop actions to mitigate their effect.

The paper systematically categorizes the published literature and then analyzes and reviews it methodically.

Human error in maintenance is a pressing problem.

A maintenance person plays an important role in the reliability of equipment. It is also a well‐known fact that a significantly large proportion of total human errors occur during the maintenance phase. Human error in maintenance is a subject which in the past has not been given the amount of attention that it deserves. This paper will be useful to people working in the area of maintenance engineering, as it presents a general review of literature published on maintenance errors in various sectors of industry.

The paper contains a comprehensive listing of publications on the field in question and their classification according to industry. The paper will be useful to researchers, maintenance professionals and others concerned with maintenance to understand the importance of human error in maintenance.

To provide a framework that can identify and evaluate the effectiveness of a given maintenance strategy in a company. This can help in the strategic management of maintenance.

The framework is developed using Hayes and Wheelwright's four‐stage framework on manufacturing strategy as a guideline. To gain a clearer understanding of the framework and its usefulness the subject topic is elaborated in two phases: definition of maintenance strategy, framework description and operationalization using case examples. The scope of the paper is limited to performance measurement of maintenance strategies.

It is found that the framework is applicable and useful for the strategic management of the maintenance function. The case example depicting the fourth stage shows that maintenance can also contribute to enhancing the competitive advantage of a company.

Given the current position of maintenance, the framework used in this paper also suggests the strategic direction to progress for long‐term effectiveness. It helps in stimulating practising managers to manage maintenance with a strategic thinking and mindset. It also helps them to visualize the capabilities of maintenance in enhancing the competitive advantage of a company.

Unlike other functions like manufacturing and business, the strategic literature on maintenance is meagre. Many tools and techniques have been developed and applied in other fields. However, the applicability of those tools to maintenance function has never been tried. In that respect this topic is new. It helps in managing maintenance more effectively, given its growing technical and technological complexity.