Intelligent Control and Automation

Volume 6, Issue 1 (February 2015)

ISSN Print: 2153-0653   ISSN Online: 2153-0661

Google-based Impact Factor: 2.22  Citations  

No-Wait Flowshops to Minimize Total Tardiness with Setup Times

HTML  XML Download Download as PDF (Size: 2552KB)  PP. 38-44  
DOI: 10.4236/ica.2015.61005    4,030 Downloads   5,272 Views  Citations

ABSTRACT

The m-machine no-wait flowshop scheduling problem is addressed where setup times are treated as separate from processing times. The objective is to minimize total tardiness. Different dispatching rules have been investigated and three were found to be superior. Two heuristics, a simulated annealing (SA) and a genetic algorithm (GA), have been proposed by using the best performing dispatching rule as the initial solution for SA, and the three superior dispatching rules as part of the initial population for GA. Moreover, improved versions of SA and GA are proposed using an insertion algorithm. Extensive computational experiments reveal that the improved versions of SA and GA perform about 95% better than SA and GA. The improved version of GA outperforms the improved version of SA by about 3.5%.

Share and Cite:

Aldowaisan, T. and Allahverdi, A. (2015) No-Wait Flowshops to Minimize Total Tardiness with Setup Times. Intelligent Control and Automation, 6, 38-44. doi: 10.4236/ica.2015.61005.

Cited by

[1] A reactive iterated greedy algorithm for the no-wait flowshop to minimize total tardiness
Journal of Industrial and …, 2024
[2] A novel iterated greedy algorithm for no-wait permutation flowshop scheduling to minimize weighted quadratic tardiness
Engineering Optimization, 2022
[3] Research on optimization method of routing buffer linkage based on Q-learning
Journal of Physics …, 2022
[4] Minimization of total tardiness in no-wait flowshop production systems with preventive maintenance
2021
[5] An energy-efficient bi-objective no-wait permutation flowshop scheduling problem to minimize total tardiness and total energy consumption
2020
[6] Minimization of Penalties for Tardiness in a Flow Shop Systems
2020
[7] A genetic algorithm for a flow shop scheduling problem with breakdown interval, transportation time and weights of jobs
2019
[8] Scheduling of Multi-variety and Small-Batch Motor Manufacturing Based on Simulated Annealing Adaptive Genetic Algorithms
2019
[9] Solving the no-wait job shop scheduling problem with due date constraints: A problem transformation approach
2019
[10] Dimensionamento de buffers em linhas de produção
2019
[11] Six sigma for gamma-distributed processes: a case study in oil and gas
International Journal of Quality & Reliability Management, 2018
[12] Minimizing Total Number of Tardy Jobs in Two-Stage Flow Shop Using Simulated Annealing and Column Generation
2018
[13] On the exact solution of the no-wait flow shop problem with due date constraints
Computers & Operations Research, 2017
[14] An Enumeration Algorithm for the No-Wait Flow Shop Problem with Due Date Constraints
2016
[15] Minimization of weighted sum of total tardiness and make span in no wait flow shop scheduling Using different heuristic algorithm: A Review
International Journal of Advances in Engineering Sciences, 2015

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.