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The study aims at creating a sequence of implementing supply chain enablers to achieve a greater efficiency in the combination by establishing relationship among them.

To build resilience capability in supply chain, enablers have been first identified through literature review and experts' opinion. The shortlisting of enablers is done in a brainstorming session having experts from academia and industry. The methodology Automated Layout Design Program (ALDEP), which is being used for creating facility layout, is applied to understand the relationship among the enablers for a resilient supply chain.

The methodology ALDEP is applied to explore relationship among five enablers shortlisted after discussion with experts. The layout matrix with the highest score between enablers is taken as a basis to establish relationship between two enablers that an organization can use to build a resilient supply chain.

The study uses a novel method helping organizations to build resilient supply chains. This study will not only provide a starting point but also provide an entire model for building a resilient supply chain.

Computer‐based models for the automatic generation of facility layouts have been shown to provide significant benefits to the industrial community for the planning and development of facilities. In a manufacturing environment, layouts are often needed for the manufacture, storage and shipment of specific product types within specific time periods. This is especially true in metal fabrication plants, as the dynamic nature of product storage and manufacture dictates the need for effective layout generation to achieve cost reductions. The system described in this paper integrates raw material storage, inventory management, scheduling and rack system design with facility layout development for the most satisfactory dynamic response. The research addressed in this paper has resulted in the development of a computer‐based model that focuses on the concept of integrating the domains of plant layout, material handling and warehousing in terms of raising overall effectiveness.

This paper seeks to apply a heuristic approach to solve the facility layout problem and the description of a new computer‐aided layout design system.

The system utilizes a new approach for computing the adjacency scores, stacking of departments, and reserving or changing the department's shapes and dimensions. The system algorithms are based on calculating the minimal distance between departments and modified departmental closeness rating.

The research addressed in this paper has resulted in developing FLASP (Facility LAyout Support Program) software. FLASP could reduce the number of iterations needed to reach the optimal solution of the layout problems by restricting the location for each department depending on the relationships between them.

The system is built on a set of algorithms that are concerned with stacking, calculating the shortest rectilinear distances between departments, adjacency matrix system, modifications capabilities, and plans main aisles surrounding each department.

The program gathers the importance of both the adjacency relationships and the distances between departments in a way that depends on the concept that the adjacency score should not be nullified just because the two departments are no longer strictly adjacent. It rather considers that the adjacency score fades away gradually with the increase of distance between the two departments which leads to a main difference in distance consideration.

Although many new technologies have been developed in facilities design, the systematic layout planning (SLP) procedure is the most widely used among enterprises and the academic world. The practical applications in a traditional SLP require intricate steps yet their results lack stability. It is difficult to attain reasonable results from alternatives derived via traditional SLP. This study proposes concepts and algorithms such as grouping, compounding, and hypothetical distance to modify procedures and enhance practicality in traditional SLP. The proposed modifications were applied to a case study. The results were superior to solutions derived from computer software simulations and by supervisors of the case company. This study believes that the proposed modifications and procedures can enhance the enterprise's ability in facility design.

The design of the emergency department (ED) requires high precision in the process of distributing spaces. An increase in population and continuous development during the past years caused the addition of new services, changes in patients’ numbers, movement flow and treatment procedures which makes the existing layout plan of the ED no longer appropriate for its current needs. Therefore, the purpose of this paper is to generate a process of finding better alternatives for ED’s spatial planning.

The genetic algorithm method as a part of the systematic layout planning strategy was adopted for decision-making in redesigning the ED layout and finding the most appropriate alternative. This methodology was applied to a teaching hospital in Jordan to create layout alternatives with better functional dimensions.

The design that is based on the study of the movement of users and the relationship of spaces increases the layout performance.

The structural method of this study can be adopted for different hospital designs, but the results are limited only to the study case itself because of the different factors and data for each building.

This study demonstrates the process of making the most appropriate decision to redesign the ED in the hospital; therefore, the method can be adopted in restructuring the scheme of different hospitals and evaluated, especially before implementation.

A plant layout in the context of manufacturing facilities design consists of the production areas, manufacturing support areas and personnel areas. In facilities design, plant layout has been determined to be one of the most important elements in the effectiveness of systematic manufacturing operability. This paper describes the development of a split departmental plant layout generation system (LAYSPLIT) in the domain of facilities design to develop layouts that will minimize the material handling costs. The plant layout generation system consists of a data acquisition module, a pair‐wise departmental exchange module, a layout development module, and a graphical representation module. The approach used to develop the system using a split departmental method, and the characteristics of the system are outlined. The advantages of the developed system in terms of facilitating effective operations and increasing productivity in manufacturing environments are discussed. The results obtained from LAYSPLIT are compared with that produced by the MCRAFT system and discussed.

Some of the main features of the major existing approaches designed to solve the multi‐goal layout problem are highlighted. Most of these heuristic approaches are of the improvement type which take account of constraints within areas of departments. Two heuristic approaches of the construction type are outlined. MFLAP (Multi‐goal Facility Layout Planning) is a construction type algorithm based on cell formation technique. MFLAPSA (Multi‐goal Facility Layout Planning under the constraints on Shapes and Areas of Facilities), like MFLAP, is also a construction type heuristic based on cell formation technique but it incorporates additional constraints such as shape, location flexibility and exposure for a department. The procedure and capabilities of MFLAP and MFLAPSA are outlined.

This paper presents a new approach for combining the quantitative and qualitative objectives to resolve the facility layout problem. In previous studies, there are various approaches to generate solutions for the facility layout problem. Suboptimal solutions need to be considered for large layout problems since optimal algorithms are computationally infeasible. Therefore, it is important to set criteria to measure the quality of various solutions. In this paper, a new measure of solution quality, the probability of superiority, is offered for the determination of the probability that one layout is better than the others. An example is presented to illustrate our proposed approach.

Defines an expert system (ES) as a decision‐making tool that captures perishable expertise from an expert and stores this knowledge in the computer, and also as a computer system that can solve problems using human expertise and knowledge of the system environment. Notes that expert systems have found many applications in the area of production and operations management (POM). Explains the key role of the ES as a management tool to enhance productivity, improve quality, increase profits and capture expertise in many business settings. Highlights that the field of POM has a heavy orientation towards problem solving and decision making, hence it is a very fertile area for application for ES. Evaluates the current use of ES in POM and discusses future prospects.

The concrete building products manufacturing industry supplies 2,000‐4,000 precast concrete building products to the construction industry. Owing to seasonal demand, the industry builds up stock in winter to meet the high demand in summer. As concrete products are heavy and vary in shape and size, proper stocking in terms of layout and methods of stocking of products on the yard is essential. Industrial practice suggests that stockyard space management gets less attention during strategic and budget planning as it is left to the stockyard manager. The industry experiences space congestion for both the storage and dispatch of products. During dispatch process, greater retrieval time is required, long queues of lorries (shipping vehicles) are formed and desired level of service cannot be maintained. Presents a review of stockyard operations, analysis of parameters affecting loading and dispatch process on the yard and strategies to optimise the stockyard layout. It is expected that proper layout planning will reduce the cost of delivery of products by 5‐10 per cent in the industry where profit is less than 5‐8 per cent.