this paper presents a multi-objective linear programming model for disaster blood supply chain in some periods of time after disaster. this model assist to determine the quantity and location of facilities and also how to allocate blood to facilities. in this study, a three-level model is described, while blood is collected from temporary and permanent facilities and sent to blood center. blood...

Coordination plays crucial role in supply chain scheduling. In this paper, we extend the existing body of literature on supply chain scheduling by representing the robust schedule coordination approach. A hybrid discrete/continuous flow shop supply chain with job shop processes at each supplier stage is studied with dynamic optimal control models. We consider operations, channel, resource and f...

emission trading is one of the famous mechanisms under kyoto protocol to control environmental pollution. the aim of this paper is to design a strategic supply chain network under emission trading scheme with inclusion of stochastic parameters and budget limitation. demand and price of carbon credits are considered as the important stochastic parameters influencing the supply chain network. in ...

this research provides an optimization tool for use by supply chain managers in the design and operation of manufacturing- distribution networks under uncertain demand conditions. the problem under consideration consists of determining the supply chain infrastructure; raw material purchases, shipments, and inventories; and finished product production quantities, inventories, and shipments neede...

This paper considers the use of multi-objective genetic algorithms for solving a typical production chain problem, in which two consecutive production stages have to schedule their internal work while taking into account each other’s requirements. We focus on a multi-objective genetic algorithm recently proposed in the related literature, i.e. IGA (Intelligent Genetic Algorithm), comparing the ...

it is necessary to consider the impact of demand uncertainty to model the comprehensive approach for supply chain network design. this paper presents four echelons, multiple commodity, and strategic–tactical model for designing supply chain network. uncertain demand, transportation mode selection with lead time configuration has been considered. a numerical example has been implemented to verif...

Simulation provides an alternative method for detailed analysis of the complex real world systems such as the supply chain. Given that a simulation model is well-suited for evaluating dynamic decision rules under ‘what-if ‘ scenarios, a few attempts have been made to develop simulation models to improve supply chain performances. The modelling of supply chains dynamics adopted to simulation app...