Log in

Relevant bibliographies by topics / Scheduling objectives / Journal articles

To see the other types of publications on this topic, follow the link: Scheduling objectives.

Journal articles on the topic 'Scheduling objectives'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Scheduling objectives.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Castillo, Ignacio, Tarja Joro, and Yong Yue Li. "Workforce scheduling with multiple objectives." European Journal of Operational Research 196, no. 1 (2009): 162–70. http://dx.doi.org/10.1016/j.ejor.2008.02.038.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Epstein, Sheldon, Yonah Wilamowsky, and Bernard Dickman. "Deterministic multiprocessor scheduling with multiple objectives." Computers & Operations Research 19, no. 8 (1992): 743–49. http://dx.doi.org/10.1016/0305-0548(92)90013-u.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Franke, Carsten, Joachim Lepping, and Uwe Schwiegelshohn. "Greedy scheduling with custom-made objectives." Annals of Operations Research 180, no. 1 (2008): 145–64. http://dx.doi.org/10.1007/s10479-008-0491-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Važan, Pavel, Michal Škamla, Dominika Jurovatá, and Vladimír Ľupták. "Effect of Selected Priority Rules on Manufacturing Objectives in Scheduling." Advanced Materials Research 488-489 (March 2012): 1125–29. http://dx.doi.org/10.4028/www.scientific.net/amr.488-489.1125.

Full text

Abstract:

In this paper, the effect of selected priority rules of scheduling is presented. This effect has been studied for chosen scheduling objectives by simulation method. The authors used the simulator Witness to experimentation with priority rules in a designed manufacturing system. The results of experiments have been processed into the synthesis of knowledge. The implementation of scheduling procedure is described in this paper.

APA, Harvard, Vancouver, ISO, and other styles

5

Brezoňáková, Andrea. "Realistic scheduling agreement: Defining principles and objectives." Transportation Research Procedia 43 (2019): 156–64. http://dx.doi.org/10.1016/j.trpro.2019.12.030.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Monteiro, Thibaud, Nadine Meskens, and Tao Wang. "Surgical scheduling with antagonistic human resource objectives." International Journal of Production Research 53, no. 24 (2015): 7434–49. http://dx.doi.org/10.1080/00207543.2015.1082040.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Ozturkoglu, Yucel. "An efficient time algorithm for makespan objectives." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 5, no. 2 (2015): 75–80. http://dx.doi.org/10.11121/ijocta.01.2015.00260.

Full text

Abstract:

This paper focuses on a single machine scheduling subject to machine deterioration with rate-modifying activities (RMA). The motivation for this study stems from the automatic-production line problem with one machine. The main question is to find the sequence in which jobs should be scheduled, how many maintenance activity (RMA) to use, if any, and where to insert them in the schedule during the time interval with optimal makespan objective. This problem is known to be NP-hard and we give concise analyses of the problem and provide polynomial time algorithms to solve the makespan problem. We a

APA, Harvard, Vancouver, ISO, and other styles

8

Bhattacharyya, Siddhartha, and Gary J. Koehler. "Learning by Objectives for Adaptive Shop-Floor Scheduling." Decision Sciences 29, no. 2 (1998): 347–75. http://dx.doi.org/10.1111/j.1540-5915.1998.tb01580.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Salman, Saad Mohsin. "Scheduling Critical Activities on Multi-objectives Stochastic Projects." Journal of Al-Nahrain University Science 16, no. 3 (2013): 246–51. http://dx.doi.org/10.22401/jnus.16.3.34.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Hellerstein, J. L. "Achieving service rate objectives with decay usage scheduling." IEEE Transactions on Software Engineering 19, no. 8 (1993): 813–25. http://dx.doi.org/10.1109/32.238584.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Rajendran, Chandrasekharan. "Heuristics for scheduling in flowshop with multiple objectives." European Journal of Operational Research 82, no. 3 (1995): 540–55. http://dx.doi.org/10.1016/0377-2217(93)e0212-g.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Lebacque, Vassilissa, Vincent Jost, and Nadia Brauner. "Simultaneous optimization of classical objectives in JIT scheduling." European Journal of Operational Research 182, no. 1 (2007): 29–39. http://dx.doi.org/10.1016/j.ejor.2006.07.019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Elmaghraby, Salah. "Mathematical Programming and Financial Objectives for Scheduling Projects." Journal of Scheduling 8, no. 6 (2005): 543–46. http://dx.doi.org/10.1007/s10951-005-4783-y.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Chandrasekharam, R., V. V. Vinod, and S. Subramanian. "Genetic algorithm for test scheduling with different objectives." Integration 17, no. 2 (1994): 153–61. http://dx.doi.org/10.1016/0167-9260(94)00009-3.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Johnston, Mark D., and Mark E. Giuliano. "Multi-Objective Scheduling for Space Science Missions." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 8 (2011): 1140–48. http://dx.doi.org/10.20965/jaciii.2011.p1140.

Full text

Abstract:

We have developed an architecture called MUSE (Multi-User Scheduling Environment) to enable the integration of multi-objective evolutionary algorithms with existing domain planning and scheduling tools. Our approach is intended to make it possible to reuse existing software, while obtaining the advantages of multi-objective optimization algorithms. This approach enables multiple participants to actively engage in the optimization process, each representing one or more objectives in the optimization problem. As initial applications, we apply our approach to scheduling the James Webb Space Teles

APA, Harvard, Vancouver, ISO, and other styles

16

Liu, Peng Fei, and Shou Bin Dong. "Multi-Objective Scheduling for Parallel Jobs on Grid." Key Engineering Materials 439-440 (June 2010): 1281–86. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1281.

Full text

Abstract:

Focused on the complexity of the parallel job scheduling on heterogeneous Grid, the paper proposes a multi-objective optimization based scheduling algorithm. The algorithm first splits the parallel job up into a series of independent processes with constraints, and then adopts particles to represent the mapping of job-resource. Multi-objective PSO is employed to simultaneously optimize the scheduling objectives of throughput and average turnaround time. Experimental result indicates that the proposed approach is effective while dealing with large scale parallel jobs scheduling on heterogeneous

APA, Harvard, Vancouver, ISO, and other styles

17

Xie, Zhiqiang, Lirong Pei, Qing Jia, and Xu Yu. "A Process Migration Oriented Multi-Shop Integrated Scheduling Algorithm for Double Objectives." International Journal of Cooperative Information Systems 29, no. 01n02 (2020): 2040008. http://dx.doi.org/10.1142/s0218843020400080.

Full text

Abstract:

The characteristic of multi-shop scheduling is that the processing equipment is scattered in multiple workshops in different geographical locations. To solve this problem, a multi-shop comprehensive scheduling algorithm considering migration dual-objective is proposed of migration of a single complex product in multi-shop equipment, and the workpiece is migrated from one device to another during the processing. The algorithm first uses the leaf nodes of the process tree as a set of schedulable operations; second, the pre-scheduled operation set is determined according to the long path first st

APA, Harvard, Vancouver, ISO, and other styles

18

Nie, Li, Yue Wei Bai, Xin Jiang, and Chang Tao Pang. "An Approach for Level Scheduling Mixed Models on an Assembly Line in a JIT Production System." Applied Mechanics and Materials 697 (November 2014): 473–77. http://dx.doi.org/10.4028/www.scientific.net/amm.697.473.

Full text

Abstract:

A mixed-model assembly line (MMAL) is a type of production system that is capable of producing different models of a common base product simultaneously. Mixed-model assembly line level scheduling problem (MMALSP) is a challenge for Just-in-time (JIT) production systems. In the paper, a mixed-model assembly line level scheduling model is proposed which considers multiple objectives simultaneously. The considered objectives include the variation in parts consumption considering the batch part supply, inventory cost and maximum transportation load. An approach based on genetic algorithm is propos

APA, Harvard, Vancouver, ISO, and other styles

19

Ze, Tao, Di Liang, and Zhou Qun. "Study on Job Shop Scheduling Optimization with Multi-Objective." Advanced Materials Research 217-218 (March 2011): 326–29. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.326.

Full text

Abstract:

A new multi-objective scheduling method based on the GA is proposed to the job-shop scheduling problem (JSP) constrained by machines, workers. Function objectives of the proposed method are to minimize the completion time, the maximum load of machines and the total expense of machines and workers. Firstly, the mathematical model is constructed. Then, on the basis of the mathematical model, the genetic algorithm (GA) based on Pareto is applied, and an optimal or suboptimal scheduling plan can be obtained. The optimal solutions are not unique due to the multi-objective of JSP. Finally, a schedul

APA, Harvard, Vancouver, ISO, and other styles

20

Zhang, Lianmin, Lei Guan, and Ke Zhou. "Stochastic Machine Scheduling to Minimize Waiting Time Related Objectives with Emergency Jobs." Discrete Dynamics in Nature and Society 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/837910.

Full text

Abstract:

We consider a new scheduling model where emergency jobs appear during the processing of current jobs and must be processed immediately after the present job is completed. All jobs have random processing times and should be completed on a single machine. The most common case of the model is the surgery scheduling problem, where some elective surgeries are to be arranged in an operation room when emergency cases are coming during the operating procedure of the elective surgeries. Two objective functions are proposed to display this practice in machine scheduling problem. One is the weighted sum

APA, Harvard, Vancouver, ISO, and other styles

21

Vakhania, Nodari. "Scheduling a Single Machine with Primary and Secondary Objectives." Algorithms 11, no. 6 (2018): 80. http://dx.doi.org/10.3390/a11060080.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Ji, Haoran, Weidong Bao, and Xiaomin Zhu. "Adaptive workflow scheduling for diverse objectives in cloud environments." Transactions on Emerging Telecommunications Technologies 28, no. 2 (2015): e2941. http://dx.doi.org/10.1002/ett.2941.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Oyetunji, E. O. "Assessing solution methods to mixed multi-objectives scheduling problems." International Journal of Industrial and Systems Engineering 9, no. 2 (2011): 213. http://dx.doi.org/10.1504/ijise.2011.042836.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Hof, John, and Michael Bevers. "Optimal timber harvest scheduling with spatially defined sediment objectives." Canadian Journal of Forest Research 30, no. 9 (2000): 1494–500. http://dx.doi.org/10.1139/x00-065.

Full text

Abstract:

This note presents a simple model formulation that focuses on the spatial relationships over time between timber harvesting and sediment levels in water runoff courses throughout the watershed being managed. A hypothetical example is developed to demonstrate the formulation and show how sediment objectives can be spatially defined anywhere in the watershed. Spatial sensitivity in the example is shown, indicating that, at least in some cases, tracking sediment levels below a watershed may be inadequate for achieving sediment objectives within the watershed itself.

APA, Harvard, Vancouver, ISO, and other styles

25

Boros, Endre, Lei Lei, Yao Zhao, and Hua Zhong. "Scheduling vessels and container-yard operations with conflicting objectives." Annals of Operations Research 161, no. 1 (2007): 149–70. http://dx.doi.org/10.1007/s10479-007-0260-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Gupta, Amit Kumar, and Appa Iyer Sivakumar. "Single machine scheduling with multiple objectives in semiconductor manufacturing." International Journal of Advanced Manufacturing Technology 26, no. 9-10 (2004): 950–58. http://dx.doi.org/10.1007/s00170-004-2074-y.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Low, Chinyao, Yukling Yip, and Tai-Hsi Wu. "Modelling and heuristics of FMS scheduling with multiple objectives." Computers & Operations Research 33, no. 3 (2006): 674–94. http://dx.doi.org/10.1016/j.cor.2004.07.013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Prasad, S. Deva. "A genetic algorithm for flowshop scheduling with multiple objectives." OPSEARCH 44, no. 1 (2007): 1–16. http://dx.doi.org/10.1007/bf03398787.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Cao, Ya, Zhenzhong Zhang, and Zhaoxia Guo. "Multi-objective flexible job shop scheduling problem with triple bottom line theory-based sustainable objectives." Journal of Physics: Conference Series 1633 (September 2020): 012151. http://dx.doi.org/10.1088/1742-6596/1633/1/012151.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Wang, W. L., S. X. Chen, Yan Wei Zhao, J. L. Zhang, and H. Y. Wang. "Bi-Level Quantum Evolutionary Algorithm for Scheduling of Dynamic Alliance." Materials Science Forum 626-627 (August 2009): 783–88. http://dx.doi.org/10.4028/www.scientific.net/msf.626-627.783.

Full text

Abstract:

The plan scheduling is an important part for forming a dynamic alliance on the ASP platform. In order to solve this problem, in the first place, a scheduling model of multi-objectives and multi-enterprise has been developed. The scheduling objectives of this model considered the enterprise credibility, production tasks, production process and the relationship between them. Secondly, a bi-level quantum evolutionary algorithm is provided for this model. One level is the coding of processes that determines the sequence of process. The other level is the coding of bidding enterprise that chooses e

APA, Harvard, Vancouver, ISO, and other styles

31

Horng, Sophea, and Pisal Yenradee. "Multi-Objectives Finite Capacity Scheduling of Make-and-Pack Production with Options to Adjust Processing Time." Journal of Engineering, Project, and Production Management 5, no. 1 (2015): 48–58. http://dx.doi.org/10.32738/jeppm.201501.0006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Kumar, Sampath, and M. Sushama. "Strategic demand response framework for energy management in distribution system based on network loss sensitivity." Energy & Environment 31, no. 8 (2020): 1385–402. http://dx.doi.org/10.1177/0958305x19893041.

Full text

Abstract:

This paper discusses an energy management system–based demand response scheduling strategy in distribution system. The proposed strategy includes customer payment minimization and network loss minimization as responsive load scheduling objectives through centralized approach. Two types of optimization strategies each based on payment minimization and network loss sensitivity are discussed in this paper. Thus, the proposed scheduling strategy can effectively resolve the optimality issue between different objectives of the distribution system scheduling under demand response penetration. The dem

APA, Harvard, Vancouver, ISO, and other styles

33

Xhafa, Fatos, Junzi Sun, Admir Barolli, Alexander Biberaj, and Leonard Barolli. "Genetic Algorithms for Satellite Scheduling Problems." Mobile Information Systems 8, no. 4 (2012): 351–77. http://dx.doi.org/10.1155/2012/717658.

Full text

Abstract:

Recently there has been a growing interest in mission operations scheduling problem. The problem, in a variety of formulations, arises in management of satellite/space missions requiring efficient allocation of user requests to make possible the communication between operations teams and spacecraft systems. Not only large space agencies, such as ESA (European Space Agency) and NASA, but also smaller research institutions and universities can establish nowadays their satellite mission, and thus need intelligent systems to automate the allocation of ground station services to space missions. In

APA, Harvard, Vancouver, ISO, and other styles

34

Rosemarin, Hanan, Ariel Rosenfeld, and Sarit Kraus. "Emergency Department Online Patient-Caregiver Scheduling." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 10013–14. http://dx.doi.org/10.1609/aaai.v33i01.330110013.

Full text

Abstract:

Emergency Departments (EDs) provide an imperative source of medical care. Central to the ED workflow is the patientcaregiver scheduling, directed at getting the right patient to the right caregiver at the right time. Unfortunately, common ED scheduling practices are based on ad-hoc heuristics which may not be aligned with the complex and partially conflicting ED’s objectives. In this paper, we propose a novel online deep-learning scheduling approach for the automatic assignment and scheduling of medical personnel to arriving patients. Our approach allows for the optimization of explicit,

APA, Harvard, Vancouver, ISO, and other styles

35

Rosemarin, Hanan, Ariel Rosenfeld, and Sarit Kraus. "Emergency Department Online Patient-Caregiver Scheduling." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 21, 2019): 695–701. http://dx.doi.org/10.1609/aaai.v33i01.3301695.

Full text

Abstract:

Emergency Departments (EDs) provide an imperative source of medical care. Central to the ED workflow is the patientcaregiver scheduling, directed at getting the right patient to the right caregiver at the right time. Unfortunately, common ED scheduling practices are based on ad-hoc heuristics which may not be aligned with the complex and partially conflicting ED's objectives. In this paper, we propose a novel online deep-learning scheduling approach for the automatic assignment and scheduling of medical personnel to arriving patients. Our approach allows for the optimization of explicit, hospi

APA, Harvard, Vancouver, ISO, and other styles

36

Salido, Miguel A., Joan Escamilla, Federico Barber, Adriana Giret, Dunbing Tang, and Min Dai. "Energy efficiency, robustness, and makespan optimality in job-shop scheduling problems." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 3 (2015): 300–312. http://dx.doi.org/10.1017/s0890060415000335.

Full text

Abstract:

AbstractMany real-world problems are known as planning and scheduling problems, where resources must be allocated so as to optimize overall performance objectives. The traditional scheduling models consider performance indicators such as processing time, cost, and quality as optimization objectives. However, most of them do not take into account energy consumption and robustness. We focus our attention in a job-shop scheduling problem where machines can work at different speeds. It represents an extension of the classical job-shop scheduling problem, where each operation has to be executed by

APA, Harvard, Vancouver, ISO, and other styles

37

Thenata, Angelina Pramana, and Andhika Galuh Prabawati. "EVALUATION INFORMATION TECHNOLOGY UTILIZATION OF SCHOOL SUBJECT SCHEDULING USING PIECES FRAMEWORK." Jurnal Terapan Teknologi Informasi 2, no. 1 (2018): 53–63. http://dx.doi.org/10.21460/jutei.2018.21.97.

Full text

Abstract:

Abstract— Information technology has been widely used by several aspects, such as in the scope of business, industry, government, education, and service. The use of information technology in various aspects of spatial planning can help in its business process. One of the use of information technology in the field of education is e-learning, scheduling, financial information systems, and others. SMK N 1 Kaliwungu is one of the schools that already utilize information technology, such as Program Scheduling Subject Schedule. The program helps scheduling in its implementation need to be evaluated

APA, Harvard, Vancouver, ISO, and other styles

38

Shu, Jian, Hemant Jain, and Changyong Liang. "Business Process Driven Trust-Based Task Scheduling." International Journal of Web Services Research 16, no. 3 (2019): 1–28. http://dx.doi.org/10.4018/ijwsr.2019070101.

Full text

Abstract:

The demand for agile and flexible business application systems has sparked interest in using cloud computing technology to respond quickly and effectively to a dynamic business environment. The authors classify the appropriate cloud services as a multi-objectives task scheduling problem in a hybrid cloud service system. In this article, the authors propose a business process (BP) driven task scheduling system that supports multiple clouds, including private ones. A trust-based non-dominated sorting genetic algorithm (NSGA2) is developed to solve the multi-objective task scheduling problem. By

APA, Harvard, Vancouver, ISO, and other styles

39

Almeida, Ana, and Goreti Marreiros. "An Approach to Collaborative Scheduling Through Group Decision Support." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 4 (2006): 479–85. http://dx.doi.org/10.20965/jaciii.2006.p0479.

Full text

Abstract:

The model we present supporting collaborative scheduling in complex dynamic manufacturing environments, considers the interaction between an agent-based scheduling module (ASM) and a group decision support module (GDSM). The ASM outputs a set of candidate scheduling solutions, each generated based on specific criteria and/or by a particular method. Scheduling is a multicriteria decision problem in practice where different schedulers may agree on key objectives but differ greatly on their relative importance in any given situation. Interaction among scheduling actors is supported by the GDSM se

APA, Harvard, Vancouver, ISO, and other styles

40

Alabbadi, Afra A., and Maysoon F. Abulkhair. "Multi-Objective Task Scheduling Optimization in Spatial Crowdsourcing." Algorithms 14, no. 3 (2021): 77. http://dx.doi.org/10.3390/a14030077.

Full text

Abstract:

Recently, with the development of mobile devices and the crowdsourcing platform, spatial crowdsourcing (SC) has become more widespread. In SC, workers need to physically travel to complete spatial–temporal tasks during a certain period of time. The main problem in SC platforms is scheduling a set of proper workers to achieve a set of spatial tasks based on different objectives. In actuality, real-world applications of SC need to optimize multiple objectives together, and these objectives may sometimes conflict with one another. Furthermore, there is a lack of research dealing with the multi-ob

APA, Harvard, Vancouver, ISO, and other styles

41

Hwang, Wook-Yeon, and Jong-Seok Lee. "Compromising Multiple Objectives in Production Scheduling: A Data Mining Approach." Management Science and Financial Engineering 20, no. 1 (2014): 1–9. http://dx.doi.org/10.7737/msfe.2014.20.1.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Angel, Eric, Evripidis Bampis, and Aleksei V. Fishkin. "A note on scheduling to meet two min-sum objectives." Operations Research Letters 35, no. 1 (2007): 69–73. http://dx.doi.org/10.1016/j.orl.2006.01.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Koulamas, Christos, and George J. Kyparisis. "Single machine scheduling with release times, deadlines and tardiness objectives." European Journal of Operational Research 133, no. 2 (2001): 447–53. http://dx.doi.org/10.1016/s0377-2217(00)00207-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Golenko-Ginzburg, Dimitri, and Aharon Gonik. "Optimal job-shop scheduling with random operations and cost objectives." International Journal of Production Economics 76, no. 2 (2002): 147–57. http://dx.doi.org/10.1016/s0925-5273(01)00140-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Canca, David, Alejandro Zarzo, Encarnación Algaba, and Eva Barrena. "Confrontation of Different Objectives in the determination of train scheduling." Procedia - Social and Behavioral Sciences 20 (2011): 302–12. http://dx.doi.org/10.1016/j.sbspro.2011.08.036.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Rachuba, Sebastian, and Brigitte Werners. "A robust approach for scheduling in hospitals using multiple objectives." Journal of the Operational Research Society 65, no. 4 (2014): 546–56. http://dx.doi.org/10.1057/jors.2013.112.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Maigha and Mariesa L. Crow. "Electric Vehicle Scheduling Considering Co-optimized Customer and System Objectives." IEEE Transactions on Sustainable Energy 9, no. 1 (2018): 410–19. http://dx.doi.org/10.1109/tste.2017.2737146.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

OSMAN, Hesham, Marwan AMMAR, and Moheeb EL-SAID. "OPTIMAL SCHEDULING OF WATER NETWORK REPAIR CREWS CONSIDERING MULTIPLE OBJECTIVES." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 23, no. 1 (2017): 28–36. http://dx.doi.org/10.3846/13923730.2014.948911.

Full text

Abstract:

Water main breaks disrupt water services and impact traffic flow along congested city roads. Dispatching water pipe repair crews needs to consider several factors that include: 1) the priority of repair site; 2) the suitability and efficiency of the construction crew in repairing a particular break type; and 3) the time required for crews to travel between break sites. This paper presents a simulation-based multi-objective optimization model to schedule repair crews across water network break sites in an urban setting. Discrete-event simulation models for the water pipe repair process are dev

APA, Harvard, Vancouver, ISO, and other styles

49

Gupta, A. K., and A. I. Sivakumar. "Optimization of due-date objectives in scheduling semiconductor batch manufacturing." International Journal of Machine Tools and Manufacture 46, no. 12-13 (2006): 1671–79. http://dx.doi.org/10.1016/j.ijmachtools.2005.08.017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Pandelis, Dimitrios G. "Optimal preemptive scheduling on uniform machines with discounted flowtime objectives." European Journal of Operational Research 177, no. 1 (2007): 630–37. http://dx.doi.org/10.1016/j.ejor.2005.09.039.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!