Planning and re-planning in project and production scheduling

Calhoun, Kevin M.; Deckro, Richard F.; Moore, James T.; Chrissis, James W.; Hove, John C. Van

doi:10.1016/s0305-0483(02)00024-5

Cited by 41 publications

(14 citation statements)

References 10 publications

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“…In [7] the number of tasks that receives a new start time, after rescheduling, is minimized. Another approach [8] proposes to reschedule the remaining tasks, such that the sum of deviations of the new finishing times from the original ones is minimized.…”

Section: Related Workmentioning

confidence: 99%

Synthesis of Power Aware Adaptive Schedulers for Embedded Systems using Developmental Genetic Programming

Deniziak

Ciopinski

2015

Annals of Computer Science and Information Systems

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Abstract-In this paper we present a method of synthesis of adaptive schedulers for real-time embedded systems. We assume that the system is implemented using multi-core embedded processor with low-power processing capabilities. First, the developmental genetic programming is used to generate the scheduler and the initial schedule. Then, during the system execution the scheduler modifies the schedule whenever execution time of the recently finished task occurred shorter or longer than expected. The goal of rescheduling is to minimize the power consumption while all time constraints will be satisfied. We present real-life example as well as some experimental results showing advantages of our method.

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Section: Related Workmentioning

confidence: 99%

Synthesis of Power Aware Adaptive Schedulers for Embedded Systems using Developmental Genetic Programming

Deniziak

Ciopinski

2015

Annals of Computer Science and Information Systems

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“…Multi-mode problems with generalized precedence constraints have been considered by Barrios et al [14], Brucker and Knust [30], Calhoun et al [34], de Reyck and Herroelen [47], Drexl et al [64], Heilmann [82,83], Nonobe and Ibaraki [141], and Sabzehparvar and Seyed-Hosseini [156] (see also Section 3). Zhu et al [198] employ a multi-mode problem with generalized resource constraints (see also Section 4).…”

Section: Multiple Modesmentioning

confidence: 99%

“…The concepts of minimal and maximal time lags has also been considered within the multi-mode RCPSP, see Barrios et al [14], Brucker and Knust [30], Heilmann [82,83], de Reyck and Herroelen [47] and Calhoun et al [34]. Sabzehparvar and Seyed-Hosseini [156] consider minimal and maximal mode-dependent time lags, i.e.…”

Section: Maximal Time Lagsmentioning

confidence: 99%

A survey of variants and extensions of the resource-constrained project scheduling problem

Hartmann

Briskorn

2010

European Journal of Operational Research

745

356

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“…In this research, four heuristic methods were developed based on GA and Simulated Annealing (SA). Calhoun, Dekcro, Moore, Chrissis and Van Hove [5] used Taboo search method for solving the scheduling problem. They used Java programming language for implementing the proposed model for 100 numbers of jobs over four numbers of machines.…”

Section: Related Workmentioning

confidence: 99%

A Multi-objective Mathematical Model for Job Scheduling on Parallel Machines Using NSGA-II

Saeidi¹

2016

IJITCS

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Abstract-In the current industrial world, Time and cost are two the most important concepts affecting whole our planning, activit ies and scheduling. Effective use of these factors, will lead to increasing performance and profit. Solving the parallel-mach ine problem is one of the basic and important problems in industrial and service delivery systems. In this paper, a new mathematical mult iobjective linear p rogramming model is proposed for scheduling the parallel machines to minimize the total make-span and total mach ines cost. The proposed model is imp lemented in Matlab using the NSGA -II 1 approach and the results are co mpared with MOPSO 2 approach. The computational results show the effectiveness and superiority of the proposed model.

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Planning and re-planning in project and production scheduling

Cited by 41 publications

References 10 publications

Synthesis of Power Aware Adaptive Schedulers for Embedded Systems using Developmental Genetic Programming

Synthesis of Power Aware Adaptive Schedulers for Embedded Systems using Developmental Genetic Programming

A survey of variants and extensions of the resource-constrained project scheduling problem

A Multi-objective Mathematical Model for Job Scheduling on Parallel Machines Using NSGA-II

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