Scheduling the availability of order pickers is crucial for effective operations in a distribution facility with manual pickers. When order-picking activities can only be performed specific time windows, it essential to jointly solve picker shift scheduling problem and planning assigning sequencing individual orders This requires decisions regarding number schedule, start end times, break as we...

Production and distribution are fundamental operational functions in supply chains. The main challenge is to design algorithms that optimize operational performance by jointly scheduling production and delivery of customer orders. In this paper we study a model of scheduling customer orders on multiple identical machines and their distribution to customers afterwards. The goal is to minimize th...

The increasing penetration of distributed energy resources based on renewable energy sources in distribution systems leads to a more complex management of power systems. Consequently, ancillary services become even more important to maintain the system security and reliability. This paper proposes and evaluates a generic model for day-ahead, intraday (hour-ahead) and real-time scheduling, consi...

A probabilistic scheduling model for software projects is presented. The model explicitly takes a scheduling strategy as input. When the scheduling strategy is fixed, the model outputs a probability distribution for the project completion time or cost. By applying stochastic optimization techniques, schedules for software projects can be computed which minimize the development time or cost with...

abstract forecasting electrical energy demand and consumption is one of the important decision-making tools in distributing companies for making contracts scheduling and purchasing electrical energy. this paper studies load consumption modeling in hamedan city province distribution network by applying esn neural network. weather forecasting data such as minimum day temperature, average day temp...

In this paper, we propose a resource management system in Grid computing in order to specify system Quality of Service (QoS) requirements for dynamic and complex emerging applications. Our approach is based on the functional dependency among application components to specify the probability of system QoS requirements for the emerging application. Experimental results show that our application s...