Suchergebnisse

Solutions to old problems are sometimes found in new paradigms and models which provide alternative means of approach and analysis. It is suggested here that South Africa's socio-economic and political problems, stemming from the country's multi-ethnic structure, may be viewed within a conceptual framework that emphasises the spatial dimensions of the associated conflict. A model suitable for understanding this will stress the many disparities and tensions between the white core élites and those black counter-élites – including the leaders in the Homelands – who are emerging from the subdominant peripheral groups. Moreover, an analysis of the interaction between core and periphery will highlight the transformation necessary to reduce and resolve the conflict between whites and blacks in the South African spatial system and so promote their more equitable development?

ABSTRACTThe classical stochastic joint replenishment problem (SJRP) often assumes uncapacitated batch size, and identical items. However, real problems encountered relate to the truck , or the container which has limited capacity. When the shipping capacity is limited, and the items are dissimilar in size, the problem becomes more challenging. By defining a class of order‐up‐to policies, we formulate the SJRP of this kind as a combinatorial optimization problem. To solve the problem, a data structure and an algorithm are developed. Based on the algorithm, we also suggest several heuristics including the (U, S) policy—a generalization of the well‐known (Q, S) policy for dissimilar items. The numerical study shows the (U, S) policy is robust and efficient. It performs well, especially when the items become more dissimilar, in terms of shipping size and inventory velocity.