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February 12, 2026Journal of Scheduling0 citationsOpen Access

Scheduling cool jobs when processing heats them

RLRoel LambersRPRudi PendavinghFSFrits C. R. Spieksma

Key Points

  • The central aim is to optimize job scheduling processes by minimizing makespan and total completion times, considering thermal dynamics during job processing.
  • Analyzed a one-machine scheduling problem with thermal constraints.
  • Developed a linear programming formulation for minimizing completion times.
  • Proved polynomial time solvability for minimizing completion times.
  • Defined methods for preempting jobs multiple times with job-dependent heating and cooling rates.
  • Showed that minimizing sum of completion times can be achieved in polynomial time.
  • Demonstrated methods to compactly represent optimal solutions.
  • Established that minimum makespan can be determined in O(n) time, even with varying heating and cooling rates.

Abstract

Abstract We consider a one-machine scheduling problem where the temperature of a job rises during processing and cools down when not being processed according to given linear heating and cooling rates. No job’s temperature is allowed to rise above a given threshold, and no job’s temperature can cool below 0. Another crucial property of our problem is that jobs can be preempted an arbitrary number of times, and even more, we allow that a job is processed for an infinitely small amount of time. We consider two objectives: minimize the makespan and minimize the sum of completion times. Our results are as follows. We show how to compactly represent a solution. Further, we prove that the problem of minimizing the sum of completion times can be solved in polynomial time by formulating it as a linear program and deriving a structural property. This result can be extended to hold for any number of machines. Further, we show that a minimum makespan can be found in O ( n ) time, even when heating and cooling rates are job-dependent.

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Cite This Study

Lambers et al. (2026) studied this question.

synapsesocial.com/papers/698d6edc5be6419ac0d54c32https://doi.org/10.1007/s10951-025-00870-z
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