A novel unit-specific event-based formulation for short-term scheduling of multitasking processes in scientific service facilities

Rakovitis, Nikolaos; Zhang, Nan; Li, Jie

doi:10.1016/j.compchemeng.2019.106626

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…8 Scheduling models have been developed for industries such as petrochemical industry, 16 mining, 18 metallurgy, 19 food processing, 20 agricultural irrigation, 21 and scientific testing services. 22 Water is often the target to be dispatched in industrial scheduling problems. Many researchers have studied the synthesis and optimization of batch water networks.…”

Section: Introductionmentioning

confidence: 99%

Scheduling of Batch Operation for a Wastewater Treatment Plant under Time-of-Use Electricity Pricing

Wang

et al. 2022

ACS Omega

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High operating cost caused by electric energy consumption is a common problem challenging many municipal wastewater treatment plants (WWTPs). Due to the characteristics of intermittent inflow and aeration, WWTPs using sequencing batch reactor technology and its variants can be managed to relieve operating cost through taking advantage of time-of-use electricity pricing. However, little attention has been paid to the scheduling of treatment processes in the context of WWTPs. In this paper, a novel mixed-integer linear programming model is established for scheduling the batch operation of a WWTP under time-of-use electricity pricing, which considers constraints arising from task allocation, processing sequence, and processing duration. The modeling method is developed from the event-based continuous-time approach. The start time and end time of each treatment task are optimized to shift electricity consumption from peak hours to off-peak hours to the greatest extent, thus minimizing electricity cost. A case study demonstrates that the proposed model can quickly generate precise operational plans for the investigated WWTP. By implementing the optimum schedules, the WWTP can save on its electricity bill without changing the treatment capacity or the treatment process. The widening of peak and off-peak electricity pricing gap is favorable for the proposed model to display a more significant effect in reducing electricity cost.

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Section: Introductionmentioning

confidence: 99%

Scheduling of Batch Operation for a Wastewater Treatment Plant under Time-of-Use Electricity Pricing

Wang

et al. 2022

ACS Omega

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“…However, recent work has shown promise in using the unit-specific event-based continuous time formulation for large scale applications. 20 In this work, we limit ourselves to models using a discrete time representation.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the continuous time formulation allowing the model to use precise points in time, multiple works have concluded that using a discrete time representation results in better performance than using a continuous time representation for scheduling multipurpose facilities. ,, Moreover, these works have shown that the continuous time formulation version of the problem may be very computationally expensive to solve beyond using only a few time points, for large scale applications. However, recent work has shown promise in using the unit-specific event-based continuous time formulation for large scale applications . In this work, we limit ourselves to models using a discrete time representation.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Approach to Selecting Time Points for Short-Term Scheduling with Application to Multipurpose Facilities

Stevenson

Fukasawa

Ricardez‐Sandoval

2020

Ind. Eng. Chem. Res.

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Choosing an efficient time representation is an important consideration when solving short-term scheduling problems. Improving the efficiency of scheduling operations may lead to increased yield, or reduced makespan, resulting in greater profits or customer satisfaction. When formulating these problems, one must choose a time representation over which to execute to scheduling operations. We propose in this study an iterative framework to refine an initial coarse discretization, by adding key time points that may be beneficial. This framework is compared against existing static discretizations using computational experiments on a scientific services facility. Using case studies from other applications in chemical engineering, we compare the performance of our framework against a previously reported time-discretization approach in the literature. The results of these experiments demonstrate that when problems are sufficiently large, our proposed dynamic method is able to achieve a better tradeoff between objective value and CPU time than the currently used discretizations in the literature.

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A Multi-task Oriented Optimization Method for Urban Rail Overhaul Workflow Based on Critical Chain Method

Huang,

Luo,

Chen

et al. 2023

Lecture Notes in Civil Engineering

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A novel unit-specific event-based formulation for short-term scheduling of multitasking processes in scientific service facilities

Cited by 5 publications

References 25 publications

Scheduling of Batch Operation for a Wastewater Treatment Plant under Time-of-Use Electricity Pricing

Scheduling of Batch Operation for a Wastewater Treatment Plant under Time-of-Use Electricity Pricing

A Dynamic Approach to Selecting Time Points for Short-Term Scheduling with Application to Multipurpose Facilities

A Multi-task Oriented Optimization Method for Urban Rail Overhaul Workflow Based on Critical Chain Method

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