This paper proposes a model-based predictive control strategy based on mixed-integer linear programming for photovoltaic power plant with battery energy storage. The objective is to maximize the revenues from delivered both panels and batteries grid in deregulated electricity market. For each interval, proposed algorithm incorporates information solar radiation, market prices, state of charge d...

in this paper, we develop a freight transportation model for railway network considering hazmat transportation issue. in the transportation system considered, different customers can request for carrying hazmat and non- hazmat boxes. it is assumed that the sequence of the trains in the network is known. the objective is assigning the non-hazmat boxes and hazmat boxes to wagons of the trains so ...

this paper studies the hybrid flow shop scheduling where the optimization criterion is the minimization of total tardiness. first, the problem is formulated as a mixed integer linear programming model. then, to solve large problem sizes, an artificial immune algorithm hybridized with a simple local search in form of simulated annealing is proposed. two experiments are carried out to evaluate th...

responsibility in demand networks is one of the most important measures of performance. the concept of agility and flexibility in service and production. variety and changes in demand need more flexible network design that can cope with potential shortage and delay. this paper presents new mathematical model to optimize the design of demand network when there are highly variable demands. it als...

The impact of financial challenges on the profit of a supply chain, have caused the researcher to model the supply chain network by considering the operational and financial dimensions. Also, the establishment of a closed loop supply chain (CLSC) network has a high effect on economic profit. So, the purpose of this study is to design a stochastic closed loop supply chain network by considering ...

Abstract A mathematical model is introduced to solve a mobile workforce management problem. In such problem there are number of tasks be executed at different locations by various teams. For example, when an electricity utility company has deal with planned system upgrades and damages caused storms. The aim determine the schedule teams in way that overall cost minimal. involves scheduling. foll...