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In the field of inventory management, it is a well‐known fact that centralisation, by sharing the risk between several entities, helps reduce the inventory required to provide a certain level of service. In practice, centralisation can be difficult to accomplish, because improvements to the system’s general performance may be achieved at the expense of some of the entities involved. This paper describes a simulation‐based methodology used to study the impacts of equipment pooling on a group of local community service centres (CLSCs) in the Montreal (Canada) region. In addition to quantifying the benefits of the pooling process, the approach allowed the stakeholders to reach an agreement by appraising various pooling scenarios and identifying the conditions that would help ensure fairness.

This paper aims to explore the relationship between quality management practices and their impact on performance.

First, critical quality management practices are identified and classified in three main categories: management, infrastructure, and core practices. Then, a model linking these practices and performance is proposed and empirically tested. The empirical data were obtained from a survey of 133 Tunisian companies from the plastic transforming sector.

The results reveal a positive relationship between quality management practices and organizational performance. Moreover, the findings show a significant relationship between management and infrastructure practices. In addition, the results illustrate a direct effect of infrastructure practices on operational performance and of core practices on product quality.

The conceptual model proposed and tested in this study can be used by researchers for developing quality management theory. In addition, this model may offer a flow chart to practitioners for effective quality management implementation.

The proposed model is the first one to distinguish the direct effects of infrastructure practices on performance from the indirect effects of these practices through the core practices. Besides, the use of path analysis method to study the direct and indirect relationships between quality management practices and their effect on performance dimensions.

In industrial management, the 1980s marked the end of the twentieth century, an epoch dominated by US manufacturers, the alleged masters of mass production. This system has now been outstripped in several dynamic sectors by flexible/agile production. Increases in the pace of technological progress, training and aspirations have made the modern context so dynamic that firms which manage to harness the creativity and initiative of a good part of their workforce have an advantage over those that can only count on the input of their experts and managers. In sectors undergoing relatively broad and rapid change, twenty‐first century firms must adopt a more flexible and innovative type of organization to achieve manufacturing excellence.