13 datasets found

The manufacturing plant has seven AGVs with two slots each and they currently use a greedy strategy similar to the one described in Section 4.2.1 to assign jobs to the AGVs.

The dataset used in this paper for efficient industrial refrigeration scheduling with peak pricing.

The dataset used in the paper is a set of tasks with time constraints, where each task has a unique priority and is repeated indefinitely.

The dataset used in this paper is a positive-sequence power balance (PSPB) model, which is used to generate training data. The PSPB model consists of power variation models for...

The dataset used in this paper is a modified 33-node system, which is a radial 12.66 kV distribution network. The forecast total load and wind power over the 24-hour period are...

The dataset used for field service scheduling, with customer-orders, technician-assignments, and schedule quality.

The dataset used in the paper is a synthetic workload, where clients send requests with different input and output lengths, and with varying request rates.

The dataset used in this paper is a variant of the workforce scheduling problem called TRSP. This variant incorporates several state-of-the-art constraints such as time windows,...

The dataset contains 420 instances with varying number of big trains, each with 1 to 4 unit trains, and different configurations of dumpers, conveyors, and stackers.

The Flexible Job-Shop Scheduling Problem (FJSSP) is a combinatorial optimization problem where the goal is to find the optimal schedule for a set of jobs on a set of machines.

The dataset used in this paper is a collection of instances of the Unrelated Parallel Machine Scheduling Problem (UPMS) with sequence-dependent setup times and different release...

The gasoline blending scheduling problem is a multiobjective optimization problem that involves resource allocation and operation sequencing to meet a refinery's production...

The dataset used in this paper is a community battery model comprising 60 residential homes, each equipped with a 2 kWp solar PV system.