CAIE_2022_instances
Description
Test data used in "Scheduling and process planning for the dismantling shop with flexible disassembly mode and recovery level" in: Computers & Industrial Engineering (2022). Disassembly process data was synthesized using the random instance generator presented in Ehm (2019), https://doi.org/10.1007/s13243-018-0058-6. While the format is ".dat" all data can be equally read as ".txt". The files comprise the following instances: a, Data of the end-of-life engine case study: "ELV_engine_testinstance.dat" b, Data of the 24 random instances used in the computational experiments section The notation is as follows: n ... number of jobs/products m ... number of machines/stations p ... precedence degree i.e. probability that a tuple of joint detachment operations is constrained by a directed precedence relation (higher p corresponds to tighter precedence restriction) k ... range for the number of single components or parts a product is composed of