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Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

《信息与电子工程前沿（英文）》 2015年 第16卷 第7期   页码 519-531 doi: 10.1631/FITEE.1400399

摘要： With the increasing energy consumption of computing systems and the growing advocacy for green computing, energy efficiency has become one of the critical challenges in high-performance heterogeneous computing systems. Energy consumption can be reduced by not only hardware design but also software design. In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEF, for parallel applications on heterogeneous computing systems. The EASEF approach aims to minimize the finish time and overall energy consumption. First, EASEF extracts the set of paths from an application. Then, it reconstructs the application based on the extracted set of paths to achieve a reasonable schedule. Finally, it adopts a progressive way to equalize the frequency of tasks to reduce the total energy consumption of systems. Randomly generated applications and two real-world applications are examined in our experiments. Experimental results show that the EASEF algorithm outperforms two existing algorithms in terms of makespan and energy consumption.

关键词： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

《机械工程前沿（英文）》 2019年 第14卷 第4期   页码 474-488 doi: 10.1007/s11465-019-0560-z

摘要： The rise of the engine remanufacturing industry has resulted in increased possibilities of energy conservation during the remanufacturing process, and scheduling could exert significant effects on the energy performance of manufacturing systems. However, only a few studies have specifically addressed energy-efficient scheduling for remanufacturing. Considering the uncertain processing time and routes and the operation characteristics of remanufacturing, we used the crankshaft as an illustrative case and built a fuzzy job-shop scheduling model to minimize the energy consumption during remanufacturing. An improved adaptive genetic algorithm was developed by using the hormone modulation mechanism to deal with the scheduling problem that simultaneously involves parallel machines, batch machines, and uncertain processing routes and time. The algorithm demonstrated superior performance in terms of optimal value, run time, and convergent generation in comparison with other algorithms. Computational results indicated that the optimal scheduling scheme is expected to generate 1.7 kW∙h of energy saving for the investigated problem size. In addition, the scheme could improve the energy efficiency of the crankshaft remanufacturing process by approximately 5%. This study provides a basis for production managers to improve the sustainability of remanufacturing through energy-aware scheduling.

关键词： remanufacturing scheduling     adaptive genetic algorithm     energy efficiency     sustainable remanufacturing     hormone modulation mechanism    

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Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

《工程管理前沿（英文）》 2018年 第5卷 第4期   页码 487-498 doi: 10.15302/J-FEM-2018042

摘要：

This study investigates an energy-aware flow shop scheduling problem with a time-dependent learning effect. The relationship between the traditional and the proposed scheduling problem is shown and objective is to determine a job sequence in which the total energy consumption is minimized. To provide an efficient solution framework, composite lower bounds are proposed to be used in a solution approach with the name of Bounds-based Nested Partition (BBNP). A worst-case analysis on shortest process time heuristic is conducted for theoretical measurement. Computational experiments are performed on randomly generated test instances to evaluate the proposed algorithms. Results show that BBNP has better performance than conventional heuristics and provides considerable computational advantage.

关键词： flow shop     energy-aware scheduling     learning effect     nested partition     worst-case error bound    

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Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

《能源前沿（英文）》 2023年 第17卷 第2期   页码 251-265 doi: 10.1007/s11708-022-0857-1

摘要： Advances in natural gas-fired technologies have deepened the coupling between electricity and gas networks, promoting the development of the integrated electricity-gas network (IEGN) and strengthening the interaction between the active-reactive power flow in the power distribution network (PDN) and the natural gas flow in the gas distribution network (GDN). This paper proposes a day-ahead active-reactive power scheduling model for the IEGN with multi-microgrids (MMGs) to minimize the total operating cost. Through the tight coupling relationship between the subsystems of the IEGN, the potentialities of the IEGN with MMGs toward multi-energy cooperative interaction is optimized. Important component models are elaborated in the PDN, GDN, and coupled MMGs. Besides, motivated by the non-negligible impact of the reactive power, optimal inverter dispatch (OID) is considered to optimize the active and reactive power capabilities of the inverters of distributed generators. Further, a second-order cone (SOC) relaxation technology is utilized to transform the proposed active-reactive power scheduling model into a convex optimization problem that the commercial solver can directly solve. A test system consisting of an IEEE-33 test system and a 7-node natural gas network is adopted to verify the effectiveness of the proposed scheduling method. The results show that the proposed scheduling method can effectively reduce the power losses of the PDN in the IEGN by 9.86%, increase the flexibility of the joint operation of the subsystems of the IEGN, reduce the total operation costs by $32.20, and effectively enhance the operation economy of the IEGN.

关键词： combined cooling     heating     and power (CCHP)     integrated energy systems (IES)     natural gas     power distribution system     gas distribution system    

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Thermal-aware relocation of servers in green data centers

Muhammad Tayyab CHAUDHRY,T. C. LING,S. A. HUSSAIN,Xin-zhu LU

《信息与电子工程前沿（英文）》 2015年 第16卷 第2期   页码 119-134 doi: 10.1631/FITEE.1400174

摘要： Rise in inlet air temperature increases the corresponding outlet air temperature from the server. As an added effect of rise in inlet air temperature, some active servers may start exhaling intensely hot air to form a hotspot. Increase in hot air temperature and occasional hotspots are an added burden on the cooling mechanism and result in energy wastage in data centers. The increase in inlet air temperature may also result in failure of server hardware. Identifying and comparing the thermal sensitivity to inlet air temperature for various servers helps in the thermal-aware arrangement and location switching of servers to minimize the cooling energy wastage. The peak outlet temperature among the relocated servers can be lowered and even be homogenized to reduce the cooling load and chances of hotspots. Based upon mutual comparison of inlet temperature sensitivity of heterogeneous servers, this paper presents a proactive approach for thermal-aware relocation of data center servers. The experimental results show that each relocation operation has a cooling energy saving of as much as 2.1 kW·h and lowers the chances of hotspots by over 77%. Thus, the thermal-aware relocation of servers helps in the establishment of green data centers.

关键词： Servers     Green data center     Thermal-aware     Relocation    

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A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

《能源前沿（英文）》 2023年 第17卷 第2期   页码 198-210 doi: 10.1007/s11708-023-0874-8

摘要： The increasing use of distributed energy resources changes the way to manage the electricity system. Unlike the traditional centralized powered utility, many homes and businesses with local electricity generators have established their own microgrids, which increases the use of renewable energy while introducing a new challenge to the management of the microgrid system from the mismatch and unknown of renewable energy generations, load demands, and dynamic electricity prices. To address this challenge, a rank-based multiple-choice secretary algorithm (RMSA) was proposed for microgrid management, to reduce the microgrid operating cost. Rather than relying on the complete information of future dynamic variables or accurate predictive approaches, a lightweight solution was used to make real-time decisions under uncertainties. The RMSA enables a microgrid to reduce the operating cost by determining the best electricity purchase timing for each task under dynamic pricing. Extensive experiments were conducted on real-world data sets to prove the efficacy of our solution in complex and divergent real-world scenarios.

关键词： energy management systems     demand response     scheduling under uncertainty     renewable energy sources     multiple-choice secretary algorithm    

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Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

《工程管理前沿（英文）》 2020年 第7卷 第3期   页码 373-383 doi: 10.1007/s42524-020-0123-3

摘要： Production planning and scheduling are becoming the core of production management, which support the decision of a petrochemical company. The optimization of production planning and scheduling is attempted by every refinery because it gains additional profit and stabilizes the daily production. The optimization problem considered in industry and academic research is of different levels of realism and complexity, thus increasing the gap. Operation research with mathematical programming is a conventional approach used to address the planning and scheduling problem. Additionally, modeling the processes, objectives, and constraints and developing the optimization algorithms are significant for industry and research. This paper introduces the perspective of production planning and scheduling from the development viewpoint.

关键词： planning and scheduling     optimization     modeling    

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Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

《工程管理前沿（英文）》 2017年 第4卷 第3期   页码 325-337 doi: 10.15302/J-FEM-2017033

摘要： An increasing number of novel and highly specialized computer-aided decision-making technologies for short-term production scheduling in oil refineries has emerged and evolved over the past two decades, thereby encouraging refiners to permanently rethink the way the refining business is operated and managed. In this report, we discuss the key lessons learned from one of the pioneering, yet daring, enterprise-wide programs entirely implemented in an energy company devoted to developing and implementing an advanced refinery production scheduling (RPS) technology, i.e., the RPS system of Petrobras. Apart from mathematical and information technology issues, the long-term sustainability of a successful RPS project is, we argue, the outcome of a virtuous cycle grounded on permanent actions devoted to improving technical education inside the organization, reinspecting organizational cultures and operational paradigms, and developing working processes.

关键词： automation     decision making     oil refinery     optimization     production scheduling    

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A review of intelligent optimization for group scheduling problems in cellular manufacturing

《工程管理前沿（英文）》   页码 406-426 doi: 10.1007/s42524-022-0242-0

摘要： Given that group technology can reduce the changeover time of equipment, broaden the productivity, and enhance the flexibility of manufacturing, especially cellular manufacturing, group scheduling problems (GSPs) have elicited considerable attention in the academic and industry practical literature. There are two issues to be solved in GSPs: One is how to allocate groups into the production cells in view of major setup times between groups and the other is how to schedule jobs in each group. Although a number of studies on GSPs have been published, few integrated reviews have been conducted so far on considered problems with different constraints and their optimization methods. To this end, this study hopes to shorten the gap by reviewing the development of research and analyzing these problems. All literature is classified according to the number of objective functions, number of machines, and optimization algorithms. The classical mathematical models of single-machine, permutation, and distributed flowshop GSPs based on adjacent and position-based modeling methods, respectively, are also formulated. Last but not least, outlooks are given for outspread problems and problem algorithms for future research in the fields of group scheduling.

关键词： cellular manufacturing     group scheduling     flowshop     literature review    

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A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

《机械工程前沿（英文）》 2020年 第15卷 第2期   页码 338-350 doi: 10.1007/s11465-019-0572-8

摘要： Low-carbon manufacturing (LCM) is increasingly being regarded as a new sustainable manufacturing model of carbon emission reduction in the manufacturing industry. In this paper, a two-stage low-carbon scheduling optimization method of job shop is presented as part of the efforts to implement LCM, which also aims to reduce the processing cost and improve the efficiency of a mechanical machining process. In the first stage, a task assignment optimization model is proposed to optimize carbon emissions without jeopardizing the processing efficiency and the profit of a machining process. Non-dominated sorting genetic algorithm II and technique for order preference by similarity to an ideal solution are then adopted to assign the most suitable batch task of different parts to each machine. In the second stage, a processing route optimization model is established to plan the processing sequence of different parts for each machine. Finally, niche genetic algorithm is utilized to minimize the makespan. A case study on the fabrication of four typical parts of a machine tool is demonstrated to validate the proposed method.

关键词： Low-carbon manufacturing     carbon efficiency     multi-objective optimization     two-stage scheduling     job shop    

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Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

《工程管理前沿（英文）》 2018年 第5卷 第2期   页码 202-213 doi: 10.15302/J-FEM-2017024

摘要： Understanding the holistic relationship between refinery production scheduling (RPS) and the cyber-physical production environment with smart scheduling is a new question posed in the study of process systems engineering. Here, we discuss state-of-the-art RSPs in the crude-oil refining field and present examples that illustrate how smart scheduling can impact operations in the high-performing chemical process industry. We conclude that, more than any traditional off-the-shelf RPS solution available today, flexible and integrative specialized modeling platforms will be increasingly necessary to perform decentralized and collaborative optimizations, since they are the technological alternatives closer to the advanced manufacturing philosophy.

关键词： cyber-physical systems     optimization     petrochemical industry     scheduling     smart manufacturing    

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Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

《环境科学与工程前沿（英文）》 2013年 第7卷 第5期   页码 777-786 doi: 10.1007/s11783-013-0537-9

摘要： A hydraulic model-based emergency scheduling Decision Support System (DSS) is designed to eliminate the impact of sudden contamination incidents occurring upstream in raw water supply systems with multiple sources. The DSS consists of four functional modules, including water quality prediction, system safety assessment, emergency strategy inference and scheduling optimization. The work flow of the DSS is as follows. First, the water quality variations on specific cross-sections are calculated given the pollution information. Next, a comprehensive evaluation on the safety of the current system is conducted using the outputs in the first module. This will assist in the assessment of whether the system is in danger of failure, taking both the impact of pollution and system capacity into account. If there is a severe impact of contamination on the reliability of the system, a fuzzy logic based inference module is employed to generate reasonable strategies including technical measures. Otherwise, a Genetic Algorithm (GA)-based optimization model will be used to find the least-cost scheduling plan. The proposed DSS has been applied to a coastal city in South China during a saline tide period as validation. Through scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling for the water company to quickly and effectively respond to sudden contamination incidents.

关键词： decision support system     raw water supply system     contamination incident     emergency scheduling     hydraulic model     safety assessment    

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Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

《工程管理前沿（英文）》 2018年 第5卷 第4期   页码 507-514 doi: 10.15302/J-FEM-2018045

摘要：

The NP-hard scheduling problems of semiconductor manufacturing systems (SMSs) are further complicated by stochastic uncertainties. Reactive scheduling is a common dynamic scheduling approach where the scheduling scheme is refreshed in response to real-time uncertainties. The scheduling scheme is overly sensitive to the emergence of uncertainties because the optimization of performance (such as minimum make-span) and the system robustness cannot be achieved simultaneously by conventional reactive scheduling methods. To improve the robustness of the scheduling scheme, we propose a novel slack-based robust scheduling rule (SR) based on the analysis of robustness measurement for SMS with uncertain processing time. The decision in the SR is made in real time given the robustness. The proposed SR is verified under different scenarios, and the results are compared with the existing heuristic rules. Simulation results show that the proposed SR can effectively improve the robustness of the scheduling scheme with a slight performance loss.

关键词： semiconductor manufacturing system     uncertain processing time     dynamic scheduling     slack-based robust scheduling rule    

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Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

《化学科学与工程前沿（英文）》 2023年 第17卷 第10期   页码 1516-1532 doi: 10.1007/s11705-022-2283-7

摘要： This paper focuses on the integrated problem of long-term planning and short-term scheduling in a large-scale refinery-petrochemical complex, and considers the overall manufacturing process from the upstream refinery to the downstream petrochemical site. Different time scales are incorporated from the planning and scheduling subproblems. At the end of each discrete time period, additional constraints are imposed to ensure material balance between different time scales. Discrete time representation is applied to the planning subproblem, while continuous time is applied to the scheduling of ethylene cracking and polymerization processes in the petrochemical site. An enterprise-wide mathematical model is formulated through mixed integer nonlinear programming. To solve the problem efficiently, a heuristic algorithm combined with a convolutional neural network (CNN), is proposed. Binary variables are used as the CNN input, leading to the integration of a data-driven approach and classical optimization by which a heuristic algorithm is established. The results do not only illustrate the detailed operations in a refinery and petrochemical complex under planning and scheduling, but also confirm the high efficiency of the proposed algorithm for solving large-scale problems.

关键词： planning     scheduling     refinery-petrochemical     convolutional neural network     heuristic algorithm    

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生产调度的稳定性研究

李歧强,史开泉

《中国工程科学》 2001年 第3卷 第3期   页码 75-79

摘要：

生产调度中存在着大量的约束条件，它是否可行完全取决于所有约束条件是否都满足。文章研究了面向约束的调度稳定性问题。给出了硬约束、软约束和约束满意度的定义，提出了调度稳定度的概念，最后给出一个生产调度案例说明了调度稳定度在生产实际中应用的意义。

关键词： 生产调度     约束     满意度     调度稳定度    

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标题 作者 时间 类型 操作

Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

期刊论文

Energy-aware fuzzy job-shop scheduling for engine remanufacturing at the multi-machine level

Jiali ZHAO, Shitong PENG, Tao LI, Shengping LV, Mengyun LI, Hongchao ZHANG

期刊论文

Minimization of total energy consumption in an m-machine flow shop with an exponential time-dependent

Lingxuan LIU, Zhongshun SHI, Leyuan SHI

期刊论文

Active-reactive power scheduling of integrated electricity-gas network with multi-microgrids

期刊论文

Thermal-aware relocation of servers in green data centers

Muhammad Tayyab CHAUDHRY,T. C. LING,S. A. HUSSAIN,Xin-zhu LU

期刊论文

A rank-based multiple-choice secretary algorithm for minimising microgrid operating cost under uncertainties

期刊论文

Development and challenges of planning and scheduling for petroleum and petrochemical production

Fupei LI, Minglei YANG, Wenli DU, Xin DAI

期刊论文

Lessons learned from developing and implementing refinery production scheduling technologies

Marcel JOLY, Mario Y. MIYAKE

期刊论文

A review of intelligent optimization for group scheduling problems in cellular manufacturing

期刊论文

A carbon efficiency upgrading method for mechanical machining based on scheduling optimization strategy

Shuo ZHU, Hua ZHANG, Zhigang JIANG, Bernard HON

期刊论文

Refinery production scheduling toward Industry 4.0

Marcel JOLY, Darci ODLOAK, Mario Y. MIYAKE, Brenno C. MENEZES, Jeffrey D. KELLY

期刊论文

Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

期刊论文

Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

期刊论文

Enterprise-wide optimization of integrated planning and scheduling for refinery-petrochemical complex

期刊论文

生产调度的稳定性研究

李歧强,史开泉

期刊论文