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Manufacturing enterprises must satisfy customers’ needs, in order to sustain their position in the competitive market. This requires the enterprises to continuously design and produce new products. To handle new product introductions or changes to existing product ranges, enterprises must modify or re‐design their processes. Enterprise design and implementation is very expensive and time consuming. Hence, application of modelling techniques can be beneficial, first to avoid mistakes, which may result in loss of market position, and secondly to test alternative designs with minimum cost. Modelling a complex manufacturing enterprise requires a great amount of varied information. Thus, efficient collection and assessment of information are key factors in successful design. This paper introduces a multi‐view support tool, called Factory Design Process Views (FDP Views), which aims to facilitate the capture, evaluation, access and modification of all the information required by designers and management during an enterprise design.

Simulation is a widely used tool in the design of factory systems of almost all kinds and yet seems to be used rarely in the design and analysis of quality management systems. Explores the reported applications of simulation in this and other fields relating to quality and concludes that the benefits of simulation could make a significant contribution to the continuous improvement of the quality management systems themselves.

Simulation is an established method of predicting, in detail, the performance of manufacturing systems at the shop or cell level. Recent developments in computer hardware and software technology, combined with methodologies for approximate modelling, allow the extension of simulation to modelling of complete factories or manufacturing enterprises. Such applications require appropriate performance measures, possibly different from those generated in more detailed simulation, to be derived from the models. Examines the performance measures which can be usefully predicted by such models, their relationship with one another, and their propagation through the hierarchical structure of factory management systems. Applies practically the taxonomy of performance measures derived to industrial case studies, and includes a brief example of application.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Index by subjects, compiled by K.G.B. Bakewell covering the following journals: Facilities Volumes 8‐17; Journal of Property Investment & Finance Volumes 8‐17; Property Management Volumes 8‐17; Structural Survey Volumes 8‐17.

Compiled by K.G.B. Bakewell covering the following journals published by MCB University Press: Facilities Volumes 8‐18; Journal of Property Investment & Finance Volumes 8‐18; Property Management Volumes 8‐18; Structural Survey Volumes 8‐18.