CAIE_2022_instances

Published: 14 June 2022| Version 1 | DOI: 10.17632/jtkgz3yfzg.1
Contributor:
Franz Ehm

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

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Institutions

Technische Universitat Dresden Fakultat Wirtschaftswissenschaften

Categories

Combinatorial Optimization, Job Shop Scheduling, Remanufacturing

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