Task Block in a Multistage Flowshop Scheduling Problem Under Uncertainty Reduces the Waiting Time of Tasks

Authors

  • Malvika Sharma Department of Mathematics and Humanities, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India
  • Deepak Gupta Department of Mathematics and Humanities, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India https://orcid.org/0000-0002-9461-8770

DOI:

https://doi.org/10.26713/cma.v17i1.3554

Keywords:

Flowshop scheduling, Uncertain processing periods, Task block, Complete waiting time of tasks

Abstract

The current paper investigates the scheduling problem for multiple-stations in a taskblock-based model, particularly under conditions of uncertainty in processing times. We propose a framework for task block scheduling that adaptively schedules tasks across multiple stages with the objective of minimizing the total waiting time of tasks in a fuzzy environment. The algorithm is formulated and analyzed using MATLAB and its performance is supported through a numerical example.

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References

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Published

30-03-2026

Issue

Section

Research Article

How to Cite

Sharma, M., & Gupta, D. (2026). Task Block in a Multistage Flowshop Scheduling Problem Under Uncertainty Reduces the Waiting Time of Tasks. Communications in Mathematics and Applications, 17(1), 25-36. https://doi.org/10.26713/cma.v17i1.3554