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Turnaround maintenance (TAM) is a planned stoppage of production for conducting a comprehensive maintenance of equipment or plant with the purpose of improving plant availability and performance. The purpose of this paper is to investigate trends in the operation and management of TAM, as reported in the literature, and identify gaps, in the context of a system approach that views a plant as part of a network of a supply chain.

This literature review is based on over 80 subject-relevant papers and uses content analysis. The literature subjects are classified into several managerial areas that include organization, planning, scope and risk analysis, execution, performance measurement and learning. The gap in the literature is identified in light of the proposed system view for TAM.

The system view of TAM opens new opportunities for new research areas for improving the operation and management of TAM. These areas include optimizing TAM scheduling and developing methods for managing risks along the entire business supply chain. In addition, new approaches for collaboration, sharing knowledge, best practices and expertise within the supply chain become necessary for effective TAM planning and control.

This paper reviews the literature and provides a new classification of TAM. It adopts the system view for TAM that has brought new insights in the operation and management of TAM. New trends for research in the area of TAM are identified.

The integration between production scheduling and maintenance planning is attracting the attention of planners in the manufacturing sector with the increase in global competitiveness. Researchers have developed various methodologies to optimize integrated decisions in planning and scheduling, including mathematical modeling under different conditions. This paper considers the simultaneous scheduling of production and maintenance activities with the objective of minimizing the expected total tardiness cost on a single machine (production line).

Scheduling in these two types of activities, production and maintenance, are traditionally done independently, causing conflicts between the two functional areas. To eliminate or at least reduce conflicts, the scheduling of both activities can be done simultaneously with the objective of meeting due dates and maintaining maximum machine availability. In this paper, a mathematical model for an integrated problem is developed and demonstrated by an example.

The proposed integrated model shows a high potential for significant improvements in performance with respect to the cost of tardiness in delivery and machine availability. This is demonstrated by an example showing an average savings of approximately 40%.

This substantial saving is owed to the integration of two important decision-making processes in manufacturing systems. Although the integrated problem is complex and difficult to solve, the fact that it is savings driven makes the problem of interest to researchers and practitioners in manufacturing.

Measuring the performance of academic departments received little attention compared to other industries due to their complex nature and difficulty in measuring their outputs. However, measures of performance are needed to assess whether they meet their set objectives and foster an environment of continuous improvement. The objective of this paper is to develop a performance measurement system for educational institutions. It outlines the properties of adequate performance measures and the steps for developing such measures in an educational environment. Three types of performance measures are proposed. These are outcomes, inputs and process measures. Suggestions are made to select the most appropriate and relevant performance measures pertinent to academic departments’ goals and objectives. Also the need, relevance and implementation issues in the context of the Saudi Arabian educational system has been discussed and highlighted in the paper.

The purpose of this study is to introduce a framework for developing a maintenance strategic plan that links the maintenance function with the corporate strategy and integrates it with other functional areas. Within the proposed framework, a systematic process for maintenance strategic planning is described and key success factors that need special attention are identified.

An analytical methodology is adopted to develop a systematic approach for implementing the framework

The study finds that the involvement of major stakeholders as well as top management commitment is essential for the successful development of a maintenance strategic plan. The process of development of the strategic plan in maintenance differs from other areas because of its intangible benefits to the organization and special type of stakeholders. More emphasis should be put into handling senior management and other partners within the organization.

Senior maintenance managers and strategy developers may benefit from this study in developing their own plans. The process of developing the plan is well explained in a systematic manner that will drive the developers throughout the whole process.

The literature of strategic management and strategic issues in maintenance is summarized to set the foundation for the framework and to enrich the process of strategic planning with alternative strategies for different issues that will help in selecting the most appropriate strategy. The value of the paper is in its framework that puts elements of strategic planning together in an integrated framework.

The quality of academic programs is drastically affected by the design of the courses within the program. The design and delivery of courses are the most essential elements for building quality in academic programs. The purpose of this paper is to customize the techniques of quality function deployment (QFD) for designing courses and demonstrate its use in the design of a basic statistics course in the Department of Systems Engineering, King Fahd University of Petroleum and Minerals. In this study, organizations from industry are used as external customers. Faculty members and students are utilized as internal customers to identify the course technical requirements. Then QFD process planning matrices are used for developing several alternative course design concepts. Then based on a simple decision criterion the design concept that closely meets customer requirements is identified. The result of the analysis is a balanced basic statistics course.

The purpose of this paper is to compare the effectiveness of two meta‐heuristics in solving the problem of scheduling maintenance operations and jobs processing on a single machine.

The two meta‐heuristic algorithms, tabu search and simulated annealing are hybridized using the properties of an optimal schedule identified in the existing literature to the problem. A lower bound is also suggested utilizing these properties.

In a numerical experimentation with large size problems, the best‐known heuristic algorithm to the problem is compared with the tabu search and simulated annealing algorithms. The study shows that the meta‐heuristic algorithms outperform the heuristic algorithm. In addition, the developed meta‐heuristics tend to be more robust against the problem‐related parameters than the existing algorithm.

A future work may consider the possibility of machine failure along with the preventive maintenance. This relaxes the assumption that the machine cannot fail but it is rather maintained preventively. The multi‐criteria scheduling can also be considered as an avenue of future work. The problem can also be considered with stochastic parameters such that the processing times of the jobs and the maintenance related parameters are random and follow a known probability distribution function.

The usefulness of meta‐heuristic algorithms is demonstrated for solving a large scale NP‐hard combinatorial optimization problem. The paper also shows that the utilization of the directed search methods such as hybridization could substantially improve the performance of a meta‐heuristic.

This research highlights the impact of utilizing the directed search methods to cause hybridization in meta‐heuristic and the resulting improvement in their performance for large‐scale optimization.

The purpose of this paper is to demonstrate the use of two general purpose decision‐making techniques in selecting the most appropriate maintenance strategy for organizations with critical production requirements.

The Analytical Hierarchical Process (AHP) and the Analytical Network Process (ANP) are used for the selection of the most appropriate maintenance strategy in a local newspaper printing facility in Turkey.

The two methods were shown to be effective in choosing a strategy for maintaining the printing machines. The two methods resulted in almost the same results. Both methods take into account the specific requirements of the organization through its own available expertise.

The techniques demonstrated in this paper can be used by all types of organizations for selecting and adopting maintenance strategies that have higher impact on maintenance performance and hence overall business productivity. The two methods are explained in a step‐by‐step approach for easier adaptation by practitioners in all types of organizations.

The value of the paper is in applying AHP and ANP decision‐making methodologies in maintenance strategy selection. These two methods are not very common in the area of maintenance, and hence add to the pool of techniques utilized in selecting maintenance strategies.

The purpose of this study is to examine the legal paradigm of multiple Sharia' board directorship practice from the Sharia' law concept of Maslahah Al-Mursalah (public interest).

It uses a doctrinal research method that relies on the commonly referred sources of Quran and Sunnah, with a specific focus on Maslahah Al-Mursalah and, where applicable, commentaries by contemporary scholars, academics and practitioners as well as translations of classical book of Fiqh. This study scrutinises the polarity of views concerning the distinct Masyaqqah (necessity) surrounding the practice in discussion: the Masyaqqah that encourages and one that discourages the application of the practice.

This study is keen to suggest the industry to adopt a cautious approach and consider exploring a corporate governance framework that appraises the theoretical and practical Sharia' issues concerning its application in cognisance of its adversarial influence towards the sustainability of Islamic banking industry.

Since Murat Unal’s study of multiple Sharia' board directorships in 2009 and 2011, empirical works that scrutinise the practice from the Sharia' law perspective have remained limited or almost non-existent. It is aspired that this study may assist fellow readers and future researchers alike in evaluating and appreciating the divergent views surrounding the application of this practice in Islamic banking.