Customer Order Scheduling in Additive Manufacturing

Published: 30 September 2022| Version 2 | DOI: 10.17632/vntcx6zfc7.2
Contributor:
Benedikt Zipfel

Description

The data published here is used in the computational experiments of the paper "An Iterated Local Search for Customer Order Scheduling in Additive Manufacturing" (submitted to International Journal of Production Research, Submission: 221059951). We want to make the data accessible to other researchers for use in their studies. The data is json-format and provides in each instance file the necessary information to generate all problem specific parameters.

Files

Institutions

Technische Universitat Dresden

Categories

Parallel Machine Scheduling, Batch Scheduling Scheduling

Licence