Instance data for "Scheduling Trucks on Factory Premises"

<p>Instance data for the paper</p> <ul> <li>Wirth, M., &amp; Emde, S. (2018). Scheduling trucks on factory premises. <em>Computers &amp; Industrial Engineering</em>, <em>126</em>, 175-186.</li> </ul> <p>Every instance is in a separate text file, of which there are 54 in total (18 small, medium, and large instances, respectively). The data format is as follows.</p> <p>&lt;num&gt; is the running index of the instance.</p> <p>&lt;NumTrucks&gt; is the total number of trucks (jobs).</p> <p>&lt;NumDoors&gt; is the total number of dock doors (machines) on the factory premises.</p> <p>&lt;MaxDoors&gt; denotes the maximum number of doors to be visited per truck.</p> <p>&lt;FactoryLength&gt; denotes the size of the factory premises in meters (used to calculate the distances).</p> <p>&lt;Distribution&gt; is the type of probability distribution used for generating the processing and transfer times.</p> <p>&lt;Processing&gt; is a binary matrix signalling if a truck requires processing at a door: if and only if the entry in line i and column j is 1, truck j requires processing at door i.</p> <p>&lt;ProcessingTime&gt; is the processing time matrix: the entry in line i and column j is the processing time of truck j at door i.</p> <p>&lt;DoorDistance&gt; is the distance matrix between doors. The entrance / exit dummy door is the first line / column.</p> <p>&lt;ReleaseDate&gt; is the release date vector for the trucks.</p> <p>&lt;DueDate&gt; are the due dates of the trucks.</p> <p>&lt;Cost&gt; are the weights in the objective for each truck.</p>