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Journal articles on the topic 'Schedule theory'

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Published: 30 May 2022

Last updated: 31 May 2022

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1

Pérez, Omar D., Michael RF Aitken, Peter Zhukovsky, Fabián A. Soto, Gonzalo P. Urcelay, and Anthony Dickinson. "Human instrumental performance in ratio and interval contingencies: A challenge for associative theory." Quarterly Journal of Experimental Psychology 72, no. 2 (January 1, 2018): 311–21. http://dx.doi.org/10.1080/17470218.2016.1265996.

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Associative learning theories regard the probability of reinforcement as the critical factor determining responding. However, the role of this factor in instrumental conditioning is not completely clear. In fact, free-operant experiments show that participants respond at a higher rate on variable ratio than on variable interval schedules even though the reinforcement probability is matched between the schedules. This difference has been attributed to the differential reinforcement of long inter-response times (IRTs) by interval schedules, which acts to slow responding. In the present study, we used a novel experimental design to investigate human responding under random ratio (RR) and regulated probability interval (RPI) schedules, a type of interval schedule that sets a reinforcement probability independently of the IRT duration. Participants responded on each type of schedule before a final choice test in which they distributed responding between two schedules similar to those experienced during training. Although response rates did not differ during training, the participants responded at a lower rate on the RPI schedule than on the matched RR schedule during the choice test. This preference cannot be attributed to a higher probability of reinforcement for long IRTs and questions the idea that similar associative processes underlie classical and instrumental conditioning.

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2

Sotskov, Yuri N., Natalja M. Matsveichuk, and Vadzim D. Hatsura. "Two-Machine Job-Shop Scheduling Problem to Minimize the Makespan with Uncertain Job Durations." Algorithms 13, no. 1 (December 20, 2019): 4. http://dx.doi.org/10.3390/a13010004.

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We study two-machine shop-scheduling problems provided that lower and upper bounds on durations of n jobs are given before scheduling. An exact value of the job duration remains unknown until completing the job. The objective is to minimize the makespan (schedule length). We address the issue of how to best execute a schedule if the job duration may take any real value from the given segment. Scheduling decisions may consist of two phases: an off-line phase and an on-line phase. Using information on the lower and upper bounds for each job duration available at the off-line phase, a scheduler can determine a minimal dominant set of schedules (DS) based on sufficient conditions for schedule domination. The DS optimally covers all possible realizations (scenarios) of the uncertain job durations in the sense that, for each possible scenario, there exists at least one schedule in the DS which is optimal. The DS enables a scheduler to quickly make an on-line scheduling decision whenever additional information on completing jobs is available. A scheduler can choose a schedule which is optimal for the most possible scenarios. We developed algorithms for testing a set of conditions for a schedule dominance. These algorithms are polynomial in the number of jobs. Their time complexity does not exceed O ( n 2 ) . Computational experiments have shown the effectiveness of the developed algorithms. If there were no more than 600 jobs, then all 1000 instances in each tested series were solved in one second at most. An instance with 10,000 jobs was solved in 0.4 s on average. The most instances from nine tested classes were optimally solved. If the maximum relative error of the job duration was not greater than 20 % , then more than 80 % of the tested instances were optimally solved. If the maximum relative error was equal to 50 % , then 45 % of the tested instances from the nine classes were optimally solved.

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3

Takahashi, Masaharu. "Schedule segmentation and delay-reduction theory." Behavioural Processes 36, no. 3 (June 1996): 263–75. http://dx.doi.org/10.1016/0376-6357(95)00066-6.

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4

Jiang, Yang, Qiulei Ding, Junhu Ruan, and Wenjuan Wang. "Combining prospect theory with fuzzy theory to handle disruption in production scheduling." Filomat 32, no. 5 (2018): 1649–56. http://dx.doi.org/10.2298/fil1805649j.

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This paper focuses on revising a production scheduling that an unpredictable disruption happens after a subset of jobs has been processed. Under these circumstances, continuing with the original schedule will not be optimal. This paper combines prospect theory and fuzzy theory to present a recovery model to handle the disruption. The proposed model is different from most rescheduling approaches in that the difference between the original schedule and the recovery schedule is contained by taking human behavior into consideration. The computational result demonstrates that due to the tradeoff between all participators involved in production scheduling, our model is more effective than existing rescheduling approaches.

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5

Wicaksono, Pramitha Shafika, and Kartono Kartono. "ANALISIS PENJADWALAN MATA PELAJARAN MENGGUNAKAN ALGORITMA WELCH-POWELL." Prismatika: Jurnal Pendidikan dan Riset Matematika 3, no. 1 (October 27, 2020): 1–21. http://dx.doi.org/10.33503/prismatika.v3i1.1008.

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At the beginning of each semester, subjects scheduling is always carried out by the curriculum representatives and academic staff. There were several problems that must be avoided in subjects scheduling, these problems were the schedule of teachers who teach one subject at the same time are scheduled in different classes, teachers who teach more than one subject are scheduled in the same class at the same time, teachers who are lack of scheduled for teaching. In the subject of graph theory, there is a concept of graph coloring, one of which is vertex coloring. In vertex coloring, there is a Welch-Powell Algorithm application which produces a color for each vertex. In subject scheduling, it is assumed that the vertex is the subject and the teacher, while the edge is the class. In vertex coloring, graph vertices are colored so that there's no two neighboring vertices have the same color. The aim of this research was to arrange a lesson schedule so that problems do not occur such as clashes between teachers, subjects, and teaching hours. The method used in arranging this lesson schedule used the Welch-Powell Algorithm. The results obtained were using the Welch-Powell Algorithm to produce a lesson schedule every day where if there are two classes that have the same subject, they can meet the same day requirements but come in different hours and get a lesson schedule that has no clash between teachers, subjects, and teaching hours.

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6

Moro, K., and Y. Sugai. "Evaluation of train schedule by using information theory." International Journal of Transport Development and Integration 1, no. 3 (January 15, 2017): 460–70. http://dx.doi.org/10.2495/tdi-v1-n3-460-470.

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7

Kariuki,, S., and J. Efstathiou,. "Information Theory as a Measure of Schedule Complexity." Journal for Manufacturing Science and Production 5, no. 1-2 (June 2003): 37–40. http://dx.doi.org/10.1515/ijmsp.2003.5.1-2.37.

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8

Kossek, Ellen Ernst, Lindsay Mechem Rosokha, and Carrie Leana. "Work Schedule Patching in Health Care: Exploring Implementation Approaches." Work and Occupations 47, no. 2 (April 8, 2019): 228–61. http://dx.doi.org/10.1177/0730888419841101.

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The authors propose a typology of “work schedule patching,” the ongoing adjustments made to plug scheduling holes after employers post schedules. Patching occurs due to changes in employer work demands, or employee nonwork demands necessitating scheduling adjustments, which are reactive or proactive. Using qualitative data from eight health-care facilities, the authors identified three narratives justifying schedule patching implementation approaches (share-the-pain, work-life-needs, and reverse-status-rotation) with variation in formalization and improvisation. Exploratory analysis showed a suggestive link between improvised work–life scheduling and lower pressure ulcers. This article advances theory on balancing the “service triangle” of scheduling in-service economies including health care.

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9

Dzendolet, Ernest. "On the Theory of Behavioral Mechanics." Psychological Reports 85, no. 3 (December 1999): 707–42. http://dx.doi.org/10.2466/pr0.1999.85.3.707.

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The Theory of Behavioral Mechanics is the behavioral analogue of Newton's laws of motion, with the rate of responding in operant conditioning corresponding to physical velocity. In an earlier work, the basic relation between rate of responding and sessions under two FI schedules and over a range of commonly used session values had been shown to be a power function. Using that basic relation, functions for behavioral acceleration, mass, and momentum are derived here. Data from other laboratories also support the applicability of a power function to VI schedules. A particular numerical value is introduced here to be the standard reference value for the behavioral force under the VI-60-S schedule. This reference allows numerical values to be calculated for the behavioral mass and momentum of individual animals. A comparison of the numerical values of the momenta of two animals can be used to evaluate their relative resistances to change, e.g., to extinction, which is itself viewed as a continuously changing behavioral force being imposed on the animal. This overall numerical approach allows behavioral force-values to be assigned to various experimental conditions such as the evaluation of the behavioral force of a medication dosage.

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10

Hammad, Mohammed Wajdi, Alireza Abbasi, and Michael J. Ryan. "Developing a Novel Framework to Manage Schedule Contingency Using Theory of Constraints and Earned Schedule Method." Journal of Construction Engineering and Management 144, no. 4 (April 2018): 04018011. http://dx.doi.org/10.1061/(asce)co.1943-7862.0001178.

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11

Zhang, Guo Hai, Guang Hui Zhou, and Xue Qun Su. "A Game Theory Approach for Multiple Design Tasks Schedule." Applied Mechanics and Materials 26-28 (June 2010): 163–66. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.163.

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This paper presents a new kind of scheduling solution for multiple design tasks in networked developing environments. The main contributions of this study can be focused on three points: The first is to distinguish the concepts and contents of the task scheduling in the networked developing environments. The second is to construct a game-theory mathematical model to deal with this new multiple design tasks scheduling problem. In the presented mathematical model, the players, strategies and payoff are given separately. Therefore, obtaining the optimal scheduling results is determined by the Nash equilibrium (NE) point of this game. In order to find the NE point, a genetic algorithm (GA)-based solution algorithm to solve this mathematical model is proposed. Finally, a numerical case study is presented to demonstrate the feasibility of the methods.

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12

Korotkova, Yulia L., and Yury A. Mesentsev. "A risk-based approach to solving the problem of airline schedule operational management." Analysis and data processing systems, no. 4 (December 27, 2021): 19–36. http://dx.doi.org/10.17212/2782-2001-2021-4-19-36.

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The paper discusses the problem of optimal regulation of aircraft assignments for airline flights. Due to the fact that the activities of the airline are subject to changes caused by both external and internal environment, the planned schedule needs continuous management and control. In the event when the actual flight schedule deviates from the planned one, it is necessary to promptly make a decision on adjusting (restoring) the schedule and reassigning aircraft. Operational schedule management involves making adjustments to the current schedule from a depth of several hours to several days. The solution to the problem is to determine the unambiguous correspondence of flights and specific aircraft subject to maximizing the likelihood of meeting production targets and observing a number of restrictions. The task of managing airline schedules belongs to the class of scheduling optimization problems for parallel-sequential systems studied within the scheduling theory. It is NP-hard and requires the development of computationally efficient solution algorithms. However, the issue of choosing criteria for the optimization problem deserves special attention, since the correct choice plays an essential role in terms of assessing the effectiveness of decision-making. In the theory of decision-making, no general method for choosing the optimality criteria has been found. The definition of the target criterion depends on the expectations of the production. Within the framework of this paper, an original criterion is proposed for constructing an optimal solution to the discrete problem of managing aircraft assignments, the main idea of which is to find a balance between the duration of the schedule and the number of flights with a negative deviation from the planned schedule by assessing the level of punctuality violation risk. The paper gives a detailed concept of punctuality, describes an approach to assessing the level of risk, and also proposes an original formal formulation of the task of operational management of aircraft assignments based on the criterion of minimizing the risk of violation of flight punctuality.

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13

Barlow, Sheila. "Drawing up a schedule for observation." Nurse Researcher 2, no. 2 (December 1994): 22–29. http://dx.doi.org/10.7748/nr.2.2.22.s4.

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14

Heirman, Ann. "Time Schedule of thekathinaPeriod." Acta Orientalia Academiae Scientiarum Hungaricae 56, no. 2-4 (November 2003): 309–16. http://dx.doi.org/10.1556/aorient.56.2003.2-4.15.

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15

Jin, Jun Yan. "Application of the Last Planner System in Schedule Management of Construction Projects." Applied Mechanics and Materials 438-439 (October 2013): 1777–81. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.1777.

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Schedule control is one of the main tasks of engineering project management, and effective schedule management is an important means of realization of project objectives. The traditional project schedule management is lack of dynamic adjustment and update, and various drawbacks of the method have been appeared. Last planner system (LPS) is a kind of schedule management of project based TFV theory of lean thinking, which transfers the traditional "push" system into "pull" system for schedule management. Based on the master schedule, look-ahead schedule and weekly work plan, schedule management with LPS will facilitate the realization the projects schedule objective.

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16

Zheng, Xi Jian, Lei Ma, and Yu Fei Zhu. "Analysis of Influence of the Roller Number and Rolling Schedule to Straighten Quality of the Project Steel Bar." Applied Mechanics and Materials 437 (October 2013): 590–96. http://dx.doi.org/10.4028/www.scientific.net/amm.437.590.

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Roll number and rolling schedule are the important parameters affecting the quality of steel bar straightening，when domestic manufacturer design the straightening equipment, these two parameters design basic is by analogy, so it is necessary to study these two parameters. This paper calculated the straightening roller to obtain reasonable roll number; next step quantitative calculate to obtains the theory rolling schedule, in the meantime actual measurement to obtains the practical rolling schedule of the same equipment；then based on rigid-flexible virtual prototype technology to build straightening system dynamics model. At the theory rolling schedule, and the practical rolling schedule for steel bar straighten emulation, obtained straightness and deviation of different diameter steel bar after straightening. By comparison and analysis the simulation results, we obtain the reasonable roll number and rolling schedule. In this paper, this method have reference value to design the roll number and rolling schedule for similar straightening equipment.

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17

Dow, S. M., and S. E. G. Lea. "Sampling of schedule parameters by pigeons: tests of optimizing theory." Animal Behaviour 35, no. 1 (February 1987): 102–14. http://dx.doi.org/10.1016/s0003-3472(87)80215-4.

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18

Liu, Xun, Le Shen, and Kun Zhang. "Estimating the Probability Distribution of Construction Project Completion Times Based on Drum-Buffer-Rope Theory." Applied Sciences 11, no. 15 (August 2, 2021): 7150. http://dx.doi.org/10.3390/app11157150.

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Various factors affecting the construction progress are regarded as bottlenecks giving rise to the project duration overrun. The contractor should combine the project schedule with the plan in order to reduce the uncertainty of the project activities. The present research describes the method derived from the theory of constraints (TOC) attempts to enhance the relationship among activities, to revise and further reduce the uncertainty of construction activities to improve the reliability of project progress. The elements of drum, buffer and rope (DBR) in TOC are added to PERT network schedule; through the identification of schedule in the bottleneck process, the implementation plan of the bottleneck is obtained. By measuring buffer time and calculating network schedule buffer time as well as feeding time, the relationship among activities and uncertainty of duration are also improved. To illustrate the impact of DBR applications on improving project schedule reliability, a case of hydropower station as an example is illustrated to show enhanced reliability of scheduling. As compared to program evaluation and review technique network (PERT) simulation, the simulation results showed that the uncertainty of construction progress could be reduced if the DBR are well cooperated mutually.

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19

Zhang, Ai Lin, and Ting Ting Geng. "Study on the Schedule Management Methods of Projects Based on Critical Chain Technology." Applied Mechanics and Materials 488-489 (January 2014): 1454–57. http://dx.doi.org/10.4028/www.scientific.net/amm.488-489.1454.

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In view of the deficiency of the traditional schedule management methods in dealing with practical problems, on the basis of Dr. Goldratt s critical chain project management theory, the thesis optimizes his theory so as to build the critical chain schedule management model according to the actual needs of the program.

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20

Dobrynin, Alexey Sergeyevich, Stanislav Matveevich Kulakov, and Alexander Sergeyevich Koynov. "BUILDING UP SCHEDULES IN MULTIPROJECT DESIGN MANAGEMENT SYSTEMS." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 3 (July 30, 2021): 105–14. http://dx.doi.org/10.24143/2072-9502-2021-3-105-114.

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The article focuses on the problem of algorithmizing the process of building schedules in various spheres of human activity by using the modern mathematical apparatus, as well as achievements in the field of systems analysis, game theory, and graph theory. Nowadays, there have been analyzed and determined the boundaries of the effective application of many well-known heuristic and metaheuristic algorithms, which have shown good results in practice. However, despite the achievements in the discrete optimization, scheduling and network planning, the new problems of drawing up so-called coordinated schedules in the field of multi-project planning, which take into account the preferences (requests, wishes) of specific schedule executors, are still of practical interest. There have been considered the approaches and main stages of solving the problems of constructing coordinated schedules in multi-project planning, which is relevant for the development of new generation software and tools

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21

Christensen, Samuel, Yitong Huang, Olivia J. Walch, and Daniel B. Forger. "Optimal adjustment of the human circadian clock in the real world." PLOS Computational Biology 16, no. 12 (December 28, 2020): e1008445. http://dx.doi.org/10.1371/journal.pcbi.1008445.

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Which suggestions for behavioral modifications, based on mathematical models, are most likely to be followed in the real world? We address this question in the context of human circadian rhythms. Jet lag is a consequence of the misalignment of the body’s internal circadian (~24-hour) clock during an adjustment to a new schedule. Light is the clock’s primary synchronizer. Previous research has used mathematical models to compute light schedules that shift the circadian clock to a new time zone as quickly as possible. How users adjust their behavior when provided with these optimal schedules remains an open question. Here, we report data collected by wearables from more than 100 travelers as they cross time zones using a smartphone app, Entrain. We find that people rarely follow the optimal schedules generated through mathematical modeling entirely, but travelers who better followed the optimal schedules reported more positive moods after their trips. Using the data collected, we improve the optimal schedule predictions to accommodate real-world constraints. We also develop a scheduling algorithm that allows for the computation of approximately optimal schedules "on-the-fly" in response to disruptions. User burnout may not be critically important as long as the first parts of a schedule are followed. These results represent a crucial improvement in making the theoretical results of past work viable for practical use and show how theoretical predictions based on known human physiology can be efficiently used in real-world settings.

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22

Guo, Yan Yong, Yao Wu, Yao Yu, and Xin Xu. "Development of a Model for Urban Rail Transit Construction Schedule." Applied Mechanics and Materials 361-363 (August 2013): 2075–78. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.2075.

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This paper developed a model for urban rail transit lines construction schedule based on cumulative prospect theory. Firstly, six typical influencing factors of urban rail transit construction schedule were proposed and analyzed. Secondly, the decision matrix was build and standardized. In addition, the prospect value function was defined based on the cumulative prospect theory and gray correlation analysis, and an optimization model was constructed. Thirdly, the optimal weight vector was solved and the construction schedule was determined. Finally, a case study of Xian rail transit was conducted to verify the feasibility and effectiveness of the model.

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23

Yuan, Huan, Xiao Jie Wang, and Yu Chuan Yan. "Risk Analysis of Rapid Construction Schemes Based on the Fuzzy Theory." Advanced Materials Research 838-841 (November 2013): 259–64. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.259.

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In the engineering project in Contemporary, Rapid construction is an advanced managing concept which core is fast. On the basis of the fuzzy risk, risk degree and fuzzy probability and risk analysis, this paper analyze the factors affecting rapid construction, and with different construction project factors fuzzy risk evaluation set is established. From the Angle of quantitative the risk analysis of hydraulic engineering in the influencing factors of construction schedule. On the impact of factors on construction schedule to different schemes are obtained quantitative values. We can choose the optimum construction scheme reduces risk.

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24

Lee, Timothy D., Richard A. Magill, and Daniel J. Weeks. "Influence of Practice Schedule on Testing Schema Theory Predictions in Adults." Journal of Motor Behavior 17, no. 3 (September 1985): 283–99. http://dx.doi.org/10.1080/00222895.1985.10735350.

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25

Brueckner, Jan K., Achim I. Czerny, and Alberto A. Gaggero. "Airline mitigation of propagated delays via schedule buffers: Theory and empirics." Transportation Research Part E: Logistics and Transportation Review 150 (June 2021): 102333. http://dx.doi.org/10.1016/j.tre.2021.102333.

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26

Liu, Gehui, Shaokuan Chen, Hua Jin, and Shuang Liu. "Optimum opportunistic maintenance schedule incorporating delay time theory with imperfect maintenance." Reliability Engineering & System Safety 213 (September 2021): 107668. http://dx.doi.org/10.1016/j.ress.2021.107668.

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27

Liberatore, Matthew J. "Project Schedule Uncertainty Analysis using Fuzzy Logic." Project Management Journal 33, no. 4 (December 2002): 15–22. http://dx.doi.org/10.1177/875697280203300403.

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There is continuing interest by academics and practitioners alike in measuring and coping with project schedule uncertainty. Fuzzy logic has been proposed as an alternate approach to probability theory for quantifying uncertainty related to activity duration. However, the fuzzy logic approach is not widely understood, and generally accepted computational approaches are not available. This paper describes the differences between the probabilistic and fuzzy approaches and the advantages of the latter. The paper also illustrates a straightforward approach for applying fuzzy logic to assess project schedule uncertainty.

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28

Lu, Fuqiang, Hualing Bi, Min Huang, and Shupeng Duan. "Simulated Annealing Genetic Algorithm Based Schedule Risk Management of IT Outsourcing Project." Mathematical Problems in Engineering 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/6916575.

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IT outsourcing is an effective way to enhance the core competitiveness for many enterprises. But the schedule risk of IT outsourcing project may cause enormous economic loss to enterprise. In this paper, the Distributed Decision Making (DDM) theory and the principal-agent theory are used to build a model for schedule risk management of IT outsourcing project. In addition, a hybrid algorithm combining simulated annealing (SA) and genetic algorithm (GA) is designed, namely, simulated annealing genetic algorithm (SAGA). The effect of the proposed model on the schedule risk management problem is analyzed in the simulation experiment. Meanwhile, the simulation results of the three algorithms GA, SA, and SAGA show that SAGA is the most superior one to the other two algorithms in terms of stability and convergence. Consequently, this paper provides the scientific quantitative proposal for the decision maker who needs to manage the schedule risk of IT outsourcing project.

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29

Yeh, Yi-Shiung, Ting-Yu Huang, I.-Te Chen, and Shih-Chin Chou. "Analyze SHA-1 in message schedule." Journal of Discrete Mathematical Sciences and Cryptography 10, no. 1 (February 2007): 1–7. http://dx.doi.org/10.1080/09720529.2007.10698105.

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30

Huang, Jun, and Hai Bo Wang. "A Graph Partition Model for Cross Docking Schedule Problem." Advanced Materials Research 601 (December 2012): 470–75. http://dx.doi.org/10.4028/www.scientific.net/amr.601.470.

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Cross docking has been received a great attention in logistics field. This study uses graph theory to solve cross docking schedule problem. A specific example is given and a node oriented, graph partition model is introduced to exploit a new way in dealing with the cross docking schedule problem.

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31

Tong, Da Wei. "Construction Schedule Real-Time Control Coupling Construction Quality in Large Scale Underground Powerhouse." Applied Mechanics and Materials 256-259 (December 2012): 1320–24. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.1320.

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Underground powerhouse of hydraulic and hydroelectric engineering is a large cavern group structure. Construction process of underground powerhouse is a complex system, whose construction schedule is associated with construction quality. It is necessary to arrange construction schedule adopting construction simulation method and combining with tunnel stability analysis, which can advance the level of construction organization design. By using real-time control theory and methodology, the real-time control model of construction schedule and quality was established, considering construction procedure, geological conditions and resource limitation. The real-time control method of construction schedule and quality was presented, and the practical control procedure was studied. Good effect is obtained through the application of the real-time control method for construction schedule and quality in one real underground powerhouse.

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32

Lan, Dun Chen. "Research on Canal System Automation Control Based on Adaptive Parameters Fuzzy." Applied Mechanics and Materials 373-375 (August 2013): 1529–32. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.1529.

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Automated control can improve the canal system to scheduler run levels, improve water efficiency and reduce operating costs schedule. In order to improve the accuracy and reliability of the control, the paper combines fuzzy control theory and PID control technology, Can give full play to the intelligence technology characteristics of the fuzzy control and can effectively improve the limitations of the traditional PID control, realize real-time self-tuning of PID control parameters, This ensures stable operation of drainage systems, can greatly improve the overall control performance of the canal, canal system automatic control development provides new ideas and approaches. Finally respectively for three kinds of operation mode of the single systems simulation, analysis of the superiority of the fuzzy theory combined with PID control.

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33

Sivasubramanian, R., V. Selladurai, and A. Gunasekaran. "Optimum production schedule and profit maximisation using the concept: theory of constraints." International Journal of Manufacturing Technology and Management 5, no. 4 (2003): 325. http://dx.doi.org/10.1504/ijmtm.2003.003459.

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34

Rigsby, K. J. "The Schedule of the Eleusinia." Mnemosyne 63, no. 2 (2010): 289–97. http://dx.doi.org/10.1163/156852510x495991.

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35

Müller, Dieter. "Simulated annealing without a cooling schedule." International Journal of Computer Mathematics 66, no. 1-2 (January 1998): 9–20. http://dx.doi.org/10.1080/00207169808804621.

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36

Qin, Song Xiang, and Yang Lin Li. "Stress Analysis of the Working Device of Multi-Functional Excavator." Advanced Materials Research 314-316 (August 2011): 2499–503. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.2499.

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According to the working characteristics of working device of WDJ25 multi-functional undercover excavator, the study had calculated and analyzed the mining force of bucket rod oil cylinder and crushing force of bucket oil cylinder of full schedule theory .The force change curve accurately described full schedule working ability of bucket rod and the bucket.

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37

Wittmer, Jenell L. S., Agnieszka K. Shepard, and James E. Martin. "Schedule preferences, congruence and employee outcomes in unionized shift workers." American Journal of Business 30, no. 1 (April 7, 2015): 92–110. http://dx.doi.org/10.1108/ajb-01-2014-0001.

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Purpose – Employees working nonstandard schedules outside the daytime hours of the Monday-Friday work week are increasing. Using Social Exchange Theory (SET), the purpose of this paper is to hypothesize relationships between scheduling preferences, attitudes, and retention indicators. Design/methodology/approach – Survey data were collected from 343 US Postal Service mail processors (day, evening, or night shift; all shifts working weekends) from three cities. Multivariate analysis of covariance and multiple linear regression were used to test hypotheses related to participants’ perceptions of scheduling preferences and attitudes. Findings – The authors found that preferences and attitudes toward shift worked had stronger relationships with each other and employee retention indicators for the night and evening shifts than the day shift, and these same relationships were stronger for the day shift when focussing on days of the week worked. Research limitations/implications – Although limited by generalizability concerns, this study provides a distinctive application of SET to work schedules and offers a unique perspective on how working nonstandard days and nonstandard times, individually, impact the employment relationship. Practical implications – Better work schedule management, with increased flexibility and control, may be one way of reducing negative employee reactions to nonstandard schedules. Originality/value – This study goes beyond the typical examinations of standard vs nonstandard shifts, to study multiple nonstandard shifts and examines the relationships of these schedules on employee retention variables, focussing on both shift and weekend work.

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38

Han, Yi, Chu Na Wu, and Kang Zhao. "Research on Multi-Thread Schedule Algorithm of the Adjusted Pressure Casting Control System." Advanced Materials Research 462 (February 2012): 246–51. http://dx.doi.org/10.4028/www.scientific.net/amr.462.246.

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Research and analyze the multi-thread schedule methods of the adjusted pressure casting control system deeply. Present an analysis method of related slice graphs based on the code slice and a theory of code subdivision based on the slice granularity and time slice. Then strictly divide the program of control system based on the time slice and obtain the strategies of event driven schedule and time slice schedule by analyzing the casting system. Subsequently, subdivide and recombine the multi-thread program slices based on the priority of the schedule strategies in control system. The control system was applied to the TYM-1 adjusted pressure casting system and the preferable effect is acquired.

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Kalay, Avner, and Avi Wohl. "Detecting Liquidity Traders." Journal of Financial and Quantitative Analysis 44, no. 1 (February 2009): 29–54. http://dx.doi.org/10.1017/s0022109009090085.

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AbstractWe develop a measure (based on the relative slopes of the demand and supply schedules) quantifying the asymmetric presence of liquidity traders in the market: a steeper slope of the demand (supply) schedule indicates a concentration of liquidity traders on the demand (supply) side. Using the opening session of the Tel Aviv Stock Exchange, we demonstrate the predictive power of our measure. Consistent with theory, we find that the concentration of liquidity traders on the demand (supply) side is negatively (positively) correlated with future returns. We find that liquidity traders are likely to arrive at the market together (commonality).

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Xia, Jian Sheng. "Study on Mechanical Processing Workshop Production Information and Management System." Applied Mechanics and Materials 713-715 (January 2015): 2352–55. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2352.

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Based on management theory of the manufacture and execution system (MES), a method of mechanical processing workshop production schedule management was discussed. The concrete planning was realized to manage the workshop production schedule by using the bar code technology. The system can increase product assembly query sub module, query information of one or more parts missing in equipment product.

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Iyer, K. Chandrashekhar, and Partha S. Banerjee. "Project ambidexterity: case of recovering schedule delay in a brownfield airport project in India." Organization, Technology and Management in Construction: an International Journal 8, no. 1 (December 1, 2016): 1464–81. http://dx.doi.org/10.1515/otmcj-2016-0012.

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Abstract Planning deficiencies and consequent execution delays are likely to persist in infrastructure development projects. However, recovery of schedule delay is a less researched area. This case research, using a two-stage inquiry modeled on the grounded theory, studied the schedule delay recovery during the execution phase of a brownfield airport construction project. The analyses generated contextual evidence and ambidexterity was found to be the key underlying phenomenon for successful recovery measures. The empirical learning was validated with literature and can be used by practitioners looking to institute schedule recovery measures.

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Li, Wan Qing, Zhe Zhao, and Ling Yu Meng. "Approach for Setting Project Buffer with Engineering Materials Based on the Theory of Unascertained Rational Number." Advanced Materials Research 459 (January 2012): 364–67. http://dx.doi.org/10.4028/www.scientific.net/amr.459.364.

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The paper proposes an approach for setting the size of project buffer based on the theory of unascertained rational numbers and critical chain management. This method applies the optimistic time into programming schedule plan and using the addition operation of unascertained rational numbers to obtain the unascertained schedule plan, to finish and generate cumulative reliability. This technique is applied to calculate the buffer time by using the optimistic construction period and total project period when finishing reliability is 90%. This feasibility of the model has been proved by an example

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Kumar Mishra, Anjay, and Kailash Kumar Moktan. "IDENTIFICATION OF CONSTRAINTS IN PROJECT SCHEDULE MANAGEMENT." International Journal of Research -GRANTHAALAYAH 7, no. 2 (March 31, 2019): 18–35. http://dx.doi.org/10.29121/granthaalayah.v7.i2.2019.990.

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Theory of Constraints (TOC) is new concept of project management. Every project has some constraints. This study explores the constraints to improve the project performance dealing with time constraint with a case of Sankosh-Tipling Road project and Bhimdhunga-Lamidanda Road Project of Dhading District. Questionnaire survey, Project report analysis, Key informant interview and case studies were the methods used for the data collection and content analysis, S-Curve and interim payment assessment were done to process the data. The major constraint among several other constraints in Bhimdhunga-Lamidanda Road project, legal constraint which is restriction of District Coordination Committee (DCC) to collect gravel and boulders from river and quarry sites was found as major constraint in the project. Constraint has affected with time extension for total 309 days with progress of only 34.76% till 13 june, 2017. Thus, this study has assumed that project could be completed within previously proposed deadline if different counter measures which have been suggested with consideration of TOC.

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Tam, Vincent H., Sandra L. Preston, and G. L. Drusano. "Optimal Sampling Schedule Design for Populations of Patients." Antimicrobial Agents and Chemotherapy 47, no. 9 (September 2003): 2888–91. http://dx.doi.org/10.1128/aac.47.9.2888-2891.2003.

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ABSTRACT Generation of pharmacodynamic relationships in the clinical arena requires estimation of pharmacokinetic parameter values for individual patients. When the target population is severely ill, the ability to obtain traditional intensive blood sampling schedules is curtailed. Population modeling guided by optimal sampling theory has provided robust estimates of individual patient pharmacokinetic parameter values. Because of the wide range of parameter values seen in this circumstance, it is important to know how the range of parameter values in the population affects the timing of the optimal samples. We describe a new, simple technique to obtain optimal samples for a population of patients. This technique uses the nonparametric distribution associated with a nonparametric adaptive grid population pharmacokinetic analysis. We used the distribution from an analysis of 58 patients receiving levofloxacin for nosocomial pneumonia at a dose of 750 mg. The collection of parameter vectors and their associated probabilities were entered into a D-optimal design evaluation by using ADAPT II. The sampling times, weighted for their probabilities, were displayed in a frequency histogram (an expression of how system information varies with time for the population). Such an explicit expression of the time distribution of information allows rational sampling design that is robust not only for the population mean vector, as in traditional D-optimal design theory, but also for large portions of the total population. For levofloxacin, one reasonable six-sample design would be 1.5, 2, 2.25, 4, 4.75, and 24 h after starting a 90-min infusion. Such sampling designs allow informative population pharmacokinetic analysis with precise and unbiased estimates after the maximal a posteriori probability Bayesian step. This allows the highest probability of delineating a pharmacodynamic relationship.

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Biederman, Lucy. "Program Schedule, Society for Early American Literature Biannual Conference." Early American Literature 53, no. 1 (2018): 289–92. http://dx.doi.org/10.1353/eal.2018.0031.

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Salama, Tarek, and Osama Moselhi. "Multi-objective optimization for repetitive scheduling under uncertainty." Engineering, Construction and Architectural Management 26, no. 7 (August 19, 2019): 1294–320. http://dx.doi.org/10.1108/ecam-05-2018-0217.

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Purpose The purpose of this paper is to present a newly developed multi-objective optimization method for the time, cost and work interruptions for repetitive scheduling while considering uncertainties associated with different input parameters. Design/methodology/approach The design of the developed method is based on integrating six modules: uncertainty and defuzzification module using fuzzy set theory, schedule calculations module using the integration of linear scheduling method (LSM) and critical chain project management (CCPM), cost calculations module that considers direct and indirect costs, delay penalty, and work interruptions cost, multi-objective optimization module using Evolver © 7.5.2 as a genetic algorithm (GA) software, module for identifying multiple critical sequences and schedule buffers, and reporting module. Findings For duration optimization that utilizes fuzzy inputs without interruptions or adding buffers, duration and cost generated by the developed method are found to be 90 and 99 percent of those reported in the literature, respectively. For cost optimization that utilizes fuzzy inputs without interruptions, project duration generated by the developed method is found to be 93 percent of that reported in the literature after adding buffers. The developed method accelerates the generation of optimum schedules. Originality/value Unlike methods reported in the literature, the proposed method is the first multi-objective optimization method that integrates LSM and the CCPM. This method considers uncertainties of productivity rates, quantities and availability of resources while utilizing multi-objective GA function to minimize project duration, cost and work interruptions simultaneously. Schedule buffers are assigned whether optimized schedule allows for interruptions or not. This method considers delay and work interruption penalties, and bonus payments.

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Zhang, Jing Yang, and Song Jiang Wang. "The Application of Earned Value Management in Small and Medium-Sized Hydropower Stations Project." Applied Mechanics and Materials 357-360 (August 2013): 2371–78. http://dx.doi.org/10.4028/www.scientific.net/amm.357-360.2371.

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Earned value management is a prerequisite for the wide range of applications in the practice of project management at home and abroad. In this paper, As to the quality of the target cost and schedule goal, To the project cost and schedule performance evaluation, On the basis of reading the relevant literature and researching at home and abroad. Using theory and method, which cost and schedule performance evaluation of earned value management as the research object. Application of project management software, It is greatly meaningful to applying earn value management model to small and medium-sized hydropower stations project.

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Kotenko, Alexey, Andrey Grachev, and Timofey Shmanev. "Train traffic control at suburban sections." Bulletin of scientific research results, no. 3 (October 17, 2017): 149–58. http://dx.doi.org/10.20295/2223-9987-2017-3-149-158.

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Objective: There is a necessity to determine an approach to the development of train traffic control theory at suburban sections, on the basis of the analysis of conventional methods of train traffic control and service situations. Methods: Simulation methods, design theory and train traffic graphing were applied in the study. Results: The possibility of developing the conventional method of commuter service organization on railroads was demonstrated by means of a new data modeling approach, underlying the system of traffic handling capacity of suburban districts. It was shown, that the basis of such a technology is a train schedule modification. It was established that the schemes on selecting schedule modification, compiled in accordance with the standard methodology, may in some cases present the solutions different from conventional. It was concluded that an unexpected result might be achieved in case of simultaneous alteration of both the initial length of suburban zones and initial number of zone trains, that is zone schedule modeling, and elements of traffic schedule within regions, assigned in accordance with its periods and called configurations. The necessity in determination and modeling of configurations was justified by practical demand in traffic volume account of different types of trains at suburban sections. The simplest example of schedule modification and capacity values response to mutual position of trains and schedule elements in configurations was introduced. Practical importance: New theoretical conclusions, obtained as a result of the analysis of suburban areas’ length modeling results, the number of zone suburban trains and their position in configurations along with freight and passenger trains, provide justification of and scientific background for efforts of creating a new methodology of train traffic control at suburban sections. Such a methodology, built on the principles of zone schedule integrated modeling and the introduced traffic schedule configurations, makes it possible to considerably increase the flexibility of commuter service organization, achieve the reduction of passenger time spent on a trip and train expectation with guaranteed execution of the fixed schedule. According to the conducted analysis, the introduced approach may have positive influence on the capacity of suburban sections as well.

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Moon, Jayet. "An Investigation into the Use of Laney U Chart as a Visual Schedule Tracker to Graphically Monitor the Schedule Performance Index." Journal of Engineering, Project, and Production Management 10, no. 1 (January 1, 2020): 35–41. http://dx.doi.org/10.2478/jeppm-2020-0005.

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AbstractThe intent of this article is to explore a mathematically sound method to graphically monitor schedule performance index (SPI) such that it enables the project manager to take objective data based decisions regarding the progress of the project schedule. The article aims to leverage the theory and application of control charts, specifically the U chart and Laney U chart and test its applicability to earned value management by trending schedule performance index on a time series chart. Off the shelf software, MinitabTM was used to generate the control charts based on earned value and planned value. While this paper proves that the Laney U chart, with correct interpretation, acts as an effective trigger-based tool for schedule risk management, it also generates further avenues for research into similar use of control charts for cost performance and other quality indices.

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Pupeikienė, Lina, and Eugenijus Kurilovas. "Optimalaus mokyklos tvarkaraščio sudarymo problema." Informacijos mokslai 50 (January 1, 2009): 69–73. http://dx.doi.org/10.15388/im.2009.0.3303.

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Straipsnyje aprašomas profi linių klasių tvarkaraščio sudarymas. Šio tipo uždaviniams spręsti nėra sukurta polinominio sudėtingumo algoritmų, todėl naudojami euristiniai optimizavimo metodai. Šiame straipsnyje aprašomi rezultatai, gauti naudojant lokalios paieškos metodus – lokalų determinuotą, lokalų atsitiktinį, atkaitinimo modeliavimo ir Bayeso – siekiant palengvinti profi linių klasių uždavinio sprendimą. Straipsnyje aprašoma nauja metodika tokio tipo uždaviniams spręsti. Tai Atkaitinimo modeliavimo parametrų optimizavimas naudojant Bayeso metodus. Kitas naujumas, aprašomas šiame straipsnyje, yra vektorinis optimizavimas naudojant tokius Pareto optimalius tvarkaraščius, kurie tenkintų individualius euristinius mokyklos kriterijus. Sukurtoje programoje „Optima“ yra įdiegti keturi optimizavimo metodai. Analizuojami rezultatai gauti taikant šiuos metodus.Optimal School Scheduling ProblemLina Pupeikienė, Eugenijus Kurilovas SummaryThe main problem investigated in the paper is optimization of the profi led school schedule. This kind of task does not have any algorithms of polynomial complexity therefore the principal attention is paid to heuristic methods. The paper reports on the results of experimentation with the local search techniques – such as Local, Local Random, Simulated Annealing and Bayes – for optimization of the profi led school schedule. A new element of this work is optimization of Simulated Annealing (SA) parameters using special Bayes (BA) methods. Another new element is application of vectorial optimization theory by fi xing Pareto optimal schedules such that would satisfy the subjective criteria of a concrete school. The created “Optima” program has four optimization algorithms for making the best school schedule. The results of application of each technique are analyzed.

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