Decision support system for light petroleum products supply chain
This paper describes a decision support system that has been developed to manage petroleum deliveries from a bulk terminal to petrol stations using a fleet of petrol tanker trucks. The problem is defined as a petrol station replenishment problem with customer demands determined using a prediction algorithms based on time series of daily sales. The DSS employs a user-defined road network as the underlying transport to meet governmental hazardous goods transport regulations. The system was implemented and has been in operation for over 18 months. Delivery costs per litre delivered have decreased 15% in comparison with those of previous years.
In the article author propose approach to client's base generation based on decision tree method. This approach allows taking into account requirements to optimization of customers' selection based on several criteria. Method is illustrated on Logistics Company.
One of the most important indicators of company's success is the increase of its value. The article investigates traditional methods of company's value assessment and the evidence that the application of these methods is incorrect in the new stage of economy. So it is necessary to create a new method of valuation based on the new main sources of company's success that is its intellectual capital.
For the first time the new approach to effective modification of traditional criteria of multi-criteria optimization in supply chain management and logistics systems is offered. The approach uses processes of analytical hierarchy. It is illustrated as expansion of toolkit of decision-making accessible to the manager, and opening possibilities of elimination of undesirable phenomena of an inadequate choice in a format of multi-criteria problems in logistics.
The authors propose new approach to self-organization of complex distributed systems in logistics. That approach is based on combination of multi-agent paradigm with constraint satisfaction techniques. The proposed solution expresses major features of Swarm Intelligence approach and replaces traditional stochastic adaptation of the swarm of the autonomous agents by constraint-driven adaptation.
Smoking is a problem, bringing signifi cant social and economic costs to Russiansociety. However, ratifi cation of the World health organization Framework conventionon tobacco control makes it possible to improve Russian legislation accordingto the international standards. So, I describe some measures that should be taken bythe Russian authorities in the nearest future, and I examine their effi ciency. By studyingthe international evidence I analyze the impact of the smoke-free areas, advertisementand sponsorship bans, tax increases, etc. on the prevalence of smoking, cigaretteconsumption and some other indicators. I also investigate the obstacles confrontingthe Russian authorities when they introduce new policy measures and the public attitudetowards these measures. I conclude that there is a number of easy-to-implementanti-smoking activities that need no fi nancial resources but only a political will.