Job Block Scheduling in a Two-Stage, No-Idle Flow Shop with Job Weighting to Reduce Total Machine Rental Costs

Shakuntla Singla, Harshleen Kaur, Deepak Gupta, Jatinder Kaur

2023

Abstract

The handling interval of the jobs is connected with likelihoods and the two of the jobs have stood together as a block in the current paper’s study of a flow shop scheduling model in two stages under no idle restriction. Weight of Jobs is also introduced due to its practicality and significance value in the actual world scenarios. The objective of the study is to present a heuristic algorithm that, when used, provides an ideal or nearly optimal schedule to reduce the amount of downtime and lower rental prices. The effectiveness of the proposed approach is demonstrated through a numerical sample. This work can also be extended by considering various parameters like breakdown effect, fuzzy trapezoidal numbers, set up time etc.

Paper Citation

in Harvard Style

Singla S., Kaur H., Gupta D. and Kaur J. (2023). Job Block Scheduling in a Two-Stage, No-Idle Flow Shop with Job Weighting to Reduce Total Machine Rental Costs. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 185-188. DOI: 10.5220/0012609800003739

in Bibtex Style

@conference{ai4iot23,
author={Shakuntla Singla and Harshleen Kaur and Deepak Gupta and Jatinder Kaur},
title={Job Block Scheduling in a Two-Stage, No-Idle Flow Shop with Job Weighting to Reduce Total Machine Rental Costs},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={185-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012609800003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Job Block Scheduling in a Two-Stage, No-Idle Flow Shop with Job Weighting to Reduce Total Machine Rental Costs
SN - 978-989-758-661-3
AU - Singla S.
AU - Kaur H.
AU - Gupta D.
AU - Kaur J.
PY - 2023
SP - 185
EP - 188
DO - 10.5220/0012609800003739
PB - SciTePress