CAIE_2022_instances

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