The Distributed No-Idle Flowshop Scheduling Problem with Due Windows Dataset

Published: 8 January 2024| Version 4 | DOI: 10.17632/yr5tyyk8ds.4
Kasra Mousighichi,


"The Distributed No-Idle Flowshop Scheduling Problem with Due Windows (DNIFSPDW)" addresses an extension of the Distributed Permutation Flowshop Scheduling Problem with No-Idle and Due Window constraints. The objective of DNIFSPDW is to determine the optimal sequence of job assignments to factories and the sequence in which they should be performed in each factory. This optimal sequence should ensure the minimum total weighted earliness and tardiness (TWET) penalties while also taking into account the due windows. The enclosed document comprises four distinct files: Small, Large, Readme, and Supplementary Material. Within the Small and Large files, you will find the data that was developed and utilized for assessing the problem of distributed no-idle flowshop scheduling with due windows. The Readme file provides a comprehensive account of the contents of both the Small and Large files, including a detailed description of the data that is contained within them. The Supplementary Material Excel file contains all instances, along with the best complete solutions found, and their objective value.



Dokuz Eylul Universitesi Fen Bilimleri Enstitusu


Flowshop Scheduling