2 resultados para Production strategies

em QSpace: Queen's University - Canada


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This dissertation examines the livelihood strategies of African dock workers in Durban, South Africa, between the Anglo-Boer War and the 1959 strikes. These labourers did not conform to common conceptions of radical dock workers or conservative African migrant workers. While Marxist scholars have been correct to stress the working class consciousness of Durban’s dock workers, this consciousness was also more ambiguous. These workers and their leaders displayed a peculiar mix of concern for workers’ issues and defences of the rights and interests of African traders. Many of Durban’s dock workers were not only wage labourers. In fact, only a minority had wages as their only source of income. The Reserve economy played a role in sustaining the consumption levels of their households and, more importantly, more than half of the former dock workers interviewed for this research engaged in some form of commercial enterprise, often based on the pilferage and sale of cargoes. Some also teamed up with township women who sold pilfered goods while the men were at work. This combination of commercial strategies and wage labour has often been overlooked in the literature. By looking at these livelihood strategies, this dissertation considers how rural and urban economies interacted in households’ strategies and reinterprets the reproduction of labour and the household in order to move beyond dichotomies of proletarian versus rural consciousness. The dock workers’ households were neither proletarian households that were forced to reside in the countryside because of apartheid, nor traditional rural homesteads with a missing migrant member. The households were reproduced in three geographically separate spheres of production and consumption, none of which could reproduce the household on its own. These spheres were dependent on each other, but also separate, as physical distance gave the different household members some autonomy. Such multi-nodal households not only bridged the rural and the urban, but equally straddled the formal/informal divide. For many, their employment on the docks made their commercial enterprises possible, which allowed them to retire early from urban wage labour. Consequently, the interests of wage labourers could not be divorced from those of African small-scale entrepreneurs.

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A scenario-based two-stage stochastic programming model for gas production network planning under uncertainty is usually a large-scale nonconvex mixed-integer nonlinear programme (MINLP), which can be efficiently solved to global optimality with nonconvex generalized Benders decomposition (NGBD). This paper is concerned with the parallelization of NGBD to exploit multiple available computing resources. Three parallelization strategies are proposed, namely, naive scenario parallelization, adaptive scenario parallelization, and adaptive scenario and bounding parallelization. Case study of two industrial natural gas production network planning problems shows that, while the NGBD without parallelization is already faster than a state-of-the-art global optimization solver by an order of magnitude, the parallelization can improve the efficiency by several times on computers with multicore processors. The adaptive scenario and bounding parallelization achieves the best overall performance among the three proposed parallelization strategies.