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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.

It is essential to track the development of resource and pollution intensive industries such as textile, leather, pharmaceutical, etc., under burgeoning pressure of environmental compliance. Therefore, the purpose of this paper is to analyze the progress of Indian leather industry in terms of individual factors and total factor productivity.

This study applies and examines the various concepts of productivity such as labor productivity, capital productivity, material productivity and energy productivity. Further, it assesses and compares the performance of Indian leather industry in Tamil Nadu (TN), West Bengal (WB) and Uttar Pradesh (UP) based on productivity analysis, spatial variations determinants in productivity and technology closeness ratio.

The findings suggest that as per the productivity analysis, WB leather clusters have performed remarkably better in terms of partial factor productivity and technical efficiency (TE), followed by TN and UP. This can be attributed to shifting of leather cluster of WB to a state-of art leather complex with many avenues for resource conservation. Further, the findings reveal that the firm size and partial factor productivities have significant positive correlation with TE which supports technological theory of the firm.

The results of this study can be useful for the policy makers associated with the Indian leather industry especially to design interventions to support capacity building at individual firm level as well as cluster level to enhance the efficiency and productivity of overall industry.

The findings also support the resource dependence theory of firm according to which the larger size firms should reflect on resource conservation practices, for instance the concept of prevention is better than cure based upon 3R (reduce, recycle and reuse) principles.

The paper gives an explanation of the productivity in the leather industry in terms of its factor productivity and TE.

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.