PLANNING AND CONTROL BY MEANS OF ALTERNATIVE STOCHASTIC NETWORK MODELS PART I

1983 ◽  
Vol 410 (1 Fifth Interna) ◽  
pp. 249-254 ◽  
Author(s):  
Dmitri I. Golyenko
2021 ◽  
pp. 57-70
Author(s):  
Till Becker ◽  
Darja Wagner-Kampik

AbstractThe methodology to model systems as graphs or networks already exists for a long time. The availability of information technology and computational power has led to a renaissance of the network modeling approach. Scientists have collected data and started to create huge models of complex networks from various domains. Manufacturing and logistics benefits from this development, because material flow systems are predetermined to be modeled as networks. This chapter revisits selected advances in network modeling and analysis in manufacturing and logistics that have been achieved in the last decade. It presents the basic modeling concept, the transition from static to dynamic and stochastic models, and a collection of examples how network models can be applied to contribute to solving problems in planning and control of logistic systems.


Author(s):  
D.L. Roke

The growth in horticultural and some industrial development in selected areas of Northland has led to a need for more specific and careful planning and control of limited resources in a number of major catchments. The potential irrigation demands for horhculture comprise over 60% of Northland's potential water requirements. By contrast, farm water supply needs are only 11% of these needs. Because of their importance to the Northland economy, and in the legislation these needs are given a high priority in water resource management planning. Land uses, including pastoral farming, require careful operation to reduce diffuse sources of pollution.


Soviet Review ◽  
1973 ◽  
Vol 14 (2) ◽  
pp. 24-38 ◽  
Author(s):  
N. Fedorenko ◽  
K. Gofman

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