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Books on the topic 'Problemas de Scheduling'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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1

Khodr, Hussein M. Scheduling problems and solutions. Hauppauge, N.Y: Nova Science Publishers, 2011.

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2

Baptiste, Philippe. Constraint-Based Scheduling: Applying Constraint Programming to Scheduling Problems. Boston, MA: Springer US, 2001.

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3

Claude, Le Pape, and Nuijten Wim, eds. Constraint-based scheduling: Applying constraint programming to scheduling problems. Boston: Kluwer Academic, 2001.

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4

Ovacik, Irfan M. Decomposition Methods for Complex Factory Scheduling Problems. Boston, MA: Springer US, 1997.

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5

Sham, Ki Shek. Knowledge based approach to general scheduling problems. (s.l: The Author), 1990.

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6

Ovacik, Irfan M., and Reha Uzsoy. Decomposition Methods for Complex Factory Scheduling Problems. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6329-7.

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7

Eiselt, H. A., and C. L. Sandblom. Decision Analysis, Location Models, and Scheduling Problems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24722-7.

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8

Ovacik, Irfan M. Decomposition methods for complex factory scheduling problems. Boston, Mass: Kluwer Academic Publishers, 1997.

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9

Chiong, Raymond, and Sandeep Dhakal. Natural intelligence for scheduling, planning and packing problems. Berlin: Springer, 2009.

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10

Chiong, Raymond, and Sandeep Dhakal, eds. Natural Intelligence for Scheduling, Planning and Packing Problems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04039-9.

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11

Drozdowski, Maciej. Selected problems of scheduling tasks in multiprocessor computer systems. Poznań: Politechnika Poznańska, 1997.

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12

OmeGA: A competent genetic algorithm for solving permutation and scheduling problems. Boston: Kluwer Academic Publishers, 2002.

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13

Raman, Narayan. Real-time scheduling problems in a general flexible manufacturing system. New York: Garland Pub., 1994.

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14

Heuristics and metaheuristics for heavily constrained hybrid flowshop problems. Amsterdam]: IOS Press, 2011.

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15

Knjazew, Dimitri. OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems. Boston, MA: Springer US, 2002.

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16

Theodoulidou, M. A literature review and classification of scheduling problems and their solution methodologies. Manchester: UMIST, 1992.

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17

Psaraftis, Harilaos N. Analysis and solution algorithms of sealift routing and scheduling problems: Final report. Cambridge, Mass: Massachusetts Institute of Technology, Alfred P. Sloan School of Management, 1985.

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18

Schmider, Bernhard. Solutions of simulating scheduling problems in SIMFactory and in a developed software package. London: University of East London, 1993.

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19

Blackham, R. B. Application of logic and constraint programming techniques for vehicle routing and scheduling problems. Huddersfield: The Polytechnic of Huddersfield. School of Computing and Mathematics, 1990.

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20

Weber, Rolf. Vehicle Routing- und Scheduling-Probleme unter besonderer Berücksichtigung von Dial-a-Ride-Problemen. München: V. Florentz, 1985.

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21

Ob ustoĭchivosti nekotorykh zadach teorii raspisaniĭ. Moskva: Vychislitelʹnyĭ t͡s︡entr AN SSSR, 1987.

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22

Subtour-Eliminations-Verfahren zur Lösung asymmetrischer Routing-Probleme. Göttingen: Vandenhoeck & Ruprecht, 1991.

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23

Cirne, Walfredo. Job Scheduling Strategies for Parallel Processing: 16th International Workshop, JSSPP 2012, Shanghai, China, May 25, 2012. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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24

D, Gupta J. N., and Potts Christopher Nigel, eds. Machine scheduling problems. Amsterdam: North-Holland, 1993.

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25

Algorithms for Scheduling Problems. MDPI, 2018. http://dx.doi.org/10.3390/books978-3-03897-120-7.

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26

Ramli, Razamin, Haslinda Ibrahim, and Tze Shung Lim. Solving a bus driver scheduling problem: A genetic algorithm approach. UUM Press, 2013. http://dx.doi.org/10.32890/9789670474311.

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Many transport companies face problems in regulating their transport services due to various challenges and issues. These problems affect the quality of the services provided especially in a university campus environment, where students heavily depend on the university transport services for their daily commuting.What are the problems faced by the management of the campus transport company? What are the issues raised by the drivers operating the on-campus buses?Hence, in assisting the management of the transport company the authors have identified the inefficiency of their bus driver scheduling system as one of the main problems, which needed to be tackled.For that reason, the authors developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach.The GA model is able to provide some resolutions and insight in relation to these inquiries: What are the constraints being considered in this bus driver scheduling problem?How were the drivers break times being distributed in this GA approach?How was the time taken to generate an efficient schedule?
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27

Corominas, Albert, and Amaia Lusa. Scheduling: Problemes i tècniques. Una Introducció. OmniaScience, 2016. http://dx.doi.org/10.3926/oss.32.

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28

da Rosa Righi, Rodrigo, ed. Scheduling Problems - New Applications and Trends. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.80171.

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29

Eiselt, H. A., and Carl-Louis Sandblom. Decision Analysis, Location Models, and Scheduling Problems. Springer, 2014.

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30

Eiselt, H. A. Decision Analysis, Location Models, and Scheduling Problems. Springer, 2010.

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31

Decision Analysis, Location Models, and Scheduling Problems. Springer, 2004.

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32

Prins, Christian, Caroline Prodhon, and Nacima Labadie. Metaheuristics for Vehicle Routing Problems. Wiley & Sons, Incorporated, John, 2016.

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33

Prins, Christian, Nacima LaBadie, and Caroline Prodhon. Metaheuristics for Vehicle Routing Problems. Wiley & Sons, Incorporated, John, 2016.

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34

Prins, Christian, Caroline Prodhon, and Nacima Labadie. Metaheuristics for Vehicle Routing Problems. Wiley & Sons, Incorporated, John, 2016.

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35

Williams, Elliott F. Solution techniques for problems in lot streaming. 1995.

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36

Kim, Hag-Min. Characterization problems of queueing systems and their applications. 1994.

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37

Herrmann, Jeffrey William. An investigation of production scheduling problems motivated by semiconductor manufacturing. 1993.

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38

Dirk, Cattrysse, ed. Heuristics for the discreet lotsizing and scheduling problems with setup times. Fontainebleau: INSEAD, 1991.

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39

Steven, Minton, and Ames Research Center. Artificial Intelligence Research Branch., eds. Minimizing conflicts: A heuristic repair model for constraint-satisfaction and scheduling problems. [Moffett Field, Calif.]: NASA, Ames Research Center, Artificial Intelligence Research Branch, 1992.

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40

Steven, Minton, and Ames Research Center. Artificial Intelligence Research Branch., eds. Minimizing conflicts: A heuristic repair model for constraint-satisfaction and scheduling problems. [Moffett Field, Calif.]: NASA, Ames Research Center, Artificial Intelligence Research Branch, 1992.

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41

Weiss, Illa. The Resource Transfer Problem: A Framework for Integrated Scheduling and Routing Problems. Springer, 2018.

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42

Baptiste, Philippe, Claude Le Pape, and Wim Nuijten. Constraint-Based Scheduling - Applying Constraint Programming to Scheduling Problems (International Series in Operations Research and Management Science, ... in Operations Research & Management Science). Springer, 2001.

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43

Kamal-Abadi, Isa Nakhai. Flowshop scheduling problems with no=wait and blocking environments: A mathematical programming approach. 1995.

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44

Center, Lewis Research, ed. Application of a hybrid generation/utility assessment heuristic to a class of scheduling problems. Cleveland, Ohio: Lewis Research Center, 1989.

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45

Vehicle Scheduling in Port Automation: Advanced Algorithms for Minimum Cost Flow Problems, Second Edition. Taylor & Francis Group, 2015.

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46

S, Smith Steven, and United States. National Aeronautics and Space Administration., eds. Investigations into generalization of constraint-based scheduling theories with applications to space telescope observation scheduling: Final report for NASA contract # NCC 2-531. [Washington, DC: National Aeronautics and Space Administration, 1996.

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47

A traveling-salesman-based approach to aircraft scheduling in the terminal area. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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48

Eva Maich, Katherine, Jamie K. McCallum, and Ari Grant-Sasson. Time’s Up! Shorter Hours, Public Policy, and Time Flexibility as an Antidote to Youth Unemployment. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190685898.003.0011.

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This chapter explores the relationship between hours of work and unemployment. When it comes to time spent working in the United States at present, two problems immediately come to light. First, an asymmetrical distribution of working time persists, with some people overworked and others underemployed. Second, hours are increasingly unstable; precarious on-call work scheduling and gig economy–style employment relationships are the canaries in the coal mine of a labor market that produces fewer and fewer stable jobs. It is possible that some kind of shorter hours movement, especially one that places an emphasis on young workers, has the potential to address these problems. Some policies and processes are already in place to transition into a shorter hours economy right now even if those possibilities are mediated by an anti-worker political administration.
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49

translator, Chen Huili, ed. Maikenxi de bi ji shu: Ding jian gu wen de si kao, shu xie ji qiao = The McKinsey way : techniques for taking notes on problem-solving = Makkinzē no erīto wa nōto ni nani o kaite iru noka : toppu konsarutanto no kangaeru gijutsu kaku gijutsu. 2015.

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50

Torres-Rojo, Juan Manuel. The use of relaxation to solve harvest scheduling problems with flow, wildlife habitat, and adjacency constraints. 1989.

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