Large-scale energy-conscious bi-objective single-machine batch scheduling under time-of-use electricity tariffs via effective iterative heuristics

Wu, Peng; Cheng, Jiubing

doi:10.1007/s10479-019-03494-7

Cited by 20 publications

(8 citation statements)

References 51 publications

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“…Wu et al [24] An energy-conscious bi-objective single-machine batch scheduling problem under TOU electricity tariffs was proposed, whose objective was to simultaneously minimize total electricity cost and Makespan. e core idea was to transform the bi-objective problem into a series of singleobjective problems that were fast and heuristically solved to obtain an approximate pareto front.…”

Section: Minlp Evtdamentioning

confidence: 99%

“…To overcome the various distortion, steps in the modeling have been taken [61]. For instance, the off-on process is added on the base of the total-Makespan-oriented function to handle the situations that the start/cutoff/restart time cannot be ignored [24]. Or the system covering the blocking area or the shuffle zone, like the off-on-Makespanoriented function, the calculation range takes account all the blocking and shuffle in the whole processing cycle [62].…”

Section: E Makespan-oriented Objective Functionmentioning

confidence: 99%

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Critical Review on the Objective Function of Flexible Job Shop Scheduling

Pei

Zhang

Mei

et al. 2022

Mathematical Problems in Engineering

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The nature of construction and formulation of the multi-objective functions in the flexible job shop (FJS) provides great insights about the study of the technique and the mechanism in scheduling helping to prioritize efforts for optimizing the manufacturing execution performance, which draw the focus of the researchers at home and abroad. From the perspective of the model, the solution method and the objective function, this paper reviews and analyzes the related academic papers and conferences articles during past few years. As a result, the construction forms of the multi-objective function and the scheduling scenarios show strongly positive correlation with the Makespan, the delivery tardiness, the energy consumption or the cost. Consequently, facing with the characteristic in a general way, the detailed construction analysis on the function for the flexible job shop scheduling problem (FJSP) is critical reviewed, and a total 6 types with 49 kinds classification are discussed. Obviously, the main goals are to summarize, analyze, discuss, and synthesize the existing achievements, the current research status, and the ongoing studies on the FJSP functions construction, and additionally to give useful insight into future research. Combined with the development trend of the intelligent manufacturing and the operations research, arguing for the formulation of the multi-obj. function, this review is expected to contribute to the future research of FJSP.

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Section: Minlp Evtdamentioning

confidence: 99%

Section: E Makespan-oriented Objective Functionmentioning

confidence: 99%

Critical Review on the Objective Function of Flexible Job Shop Scheduling

Pei

Zhang

Mei

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

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“…This pricing policy motivates consumers to save cost by shifting their energy consumption from on-peak to off-peak periods. That creates a new research stream called energy-aware production scheduling (Wu et al 2019) where the total energy-cost is minimized in conjunction with other traditional objectives in classical manufacturing environments: single-stage, job-shop, flexible-job-shop, flow-shop, batching, etc.…”

Section: B Scheduling Under Time-of-use Pricingmentioning

confidence: 99%

Electric Vehicle Route Optimization Under Time-of-Use Electricity Pricing

Ham

Park

2021

IEEE Access

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“…Therefore, the corresponding pure machining scheduling and pure assembly scheduling have been deeply studied. Sya et al [4] solved scheduling problem with genetic algorithm, Huang et al[5] and Shen et al [6] applied neural network to solve scheduling problem, Swlab et al[7] solved scheduling problem with simulated annealing method, Mathlouthi et al [8] applied Tabu search method to solve scheduling problem, and Wu et al [9] and Anghinolfi et al [10] solved scheduling problem with heuristic algorithm.…”

mentioning

confidence: 99%

“…[7] solved scheduling problem with simulated annealing method, Mathlouthi et al [8] applied Tabu search method to solve scheduling problem, and Wu et al [9] and Anghinolfi et al [10] solved scheduling problem with heuristic algorithm.…”

mentioning

confidence: 99%

An integrated scheduling algorithm for multi-device-processes with the strategy of exchanging adjacent parallel processes of the same device

Wang

Zhang

Cao

et al. 2021

J Wireless Com Network

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At present, Multi-Devices-Process Integrated Scheduling Algorithm with Time-Selective Strategy for Process Sequence (MISATPS) is an advanced algorithm in the field of integrated scheduling with multi-devices-process problems. This algorithm ignores the influence of the pre-process on the post-process when solving the multi-devices-process integrated scheduling problem, which leads to the problem of poor closeness between serial processes and poor parallelism between parallel processes. This paper points out that there is no restriction of scheduling sequence between parallel processes on the same processing device. It can be scheduled flexibly of the sequence between parallel processes of the same device. Therefore, based on the scheduling scheme of MISATPS, the algorithm is improved by applying the interchange strategy and the interchange adjustment strategy of multi-device adjacent parallel process. In this way, the influence of the pre-process on the post-process is avoided, the compactness of the serial process and the parallelism of the parallel process are improved, and the scheduling result is optimized.

show abstract

Large-scale energy-conscious bi-objective single-machine batch scheduling under time-of-use electricity tariffs via effective iterative heuristics

Cited by 20 publications

References 51 publications

Critical Review on the Objective Function of Flexible Job Shop Scheduling

Critical Review on the Objective Function of Flexible Job Shop Scheduling

Electric Vehicle Route Optimization Under Time-of-Use Electricity Pricing

An integrated scheduling algorithm for multi-device-processes with the strategy of exchanging adjacent parallel processes of the same device

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