Academic literature on the topic 'Ordonnancement de job shop'
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Journal articles on the topic "Ordonnancement de job shop"
Zribi, Nozha, Abdelkader El Kamel, and Pierre Borne. "Ordonnancement dans un job-shop flexible sous contraintes de disponibilité des machines." Journal Européen des Systèmes Automatisés 41, no. 6 (September 30, 2007): 651–71. http://dx.doi.org/10.3166/jesa.41.651-671.
Full textHarrath, Youssef, Brigitte Chebel-Morello, and Nourredine Zerhouni. "Ordonnancement conjoint de la production et de la maintenance systématique dans un Job Shop Approche génétique Pareto optimale." Journal Européen des Systèmes Automatisés 37, no. 5 (June 30, 2003): 621–40. http://dx.doi.org/10.3166/jesa.37.621-640.
Full textHaït, Alain, and Pierre Baptiste. "Ordonnancement d'atelier et ressources humaines. Affectation des opérateurs dans un flow-shop." Journal Européen des Systèmes Automatisés 39, no. 8 (October 30, 2005): 897–923. http://dx.doi.org/10.3166/jesa.39.897-923.
Full textSchauer, Joachim, and Cornelius Schwarz. "Job-shop scheduling in a body shop." Journal of Scheduling 16, no. 2 (November 28, 2012): 215–29. http://dx.doi.org/10.1007/s10951-012-0300-2.
Full textBrucker, P., B. Jurisch, and B. Sievers. "Job-shop (C codes)." European Journal of Operational Research 57, no. 1 (February 1992): 132–33. http://dx.doi.org/10.1016/0377-2217(92)90312-w.
Full textKuroda, Mitsuru, and Zeng Wang. "Fuzzy job shop scheduling." International Journal of Production Economics 44, no. 1-2 (June 1996): 45–51. http://dx.doi.org/10.1016/0925-5273(95)00091-7.
Full textPruett, James M., and Andreas Schartner. "JOB: An Instructive Job Shop Scheduling Environment." International Journal of Operations & Production Management 13, no. 11 (November 1993): 4–34. http://dx.doi.org/10.1108/01443579310046427.
Full textHeitz, Christoph, and Tobias Roithner. "ESTIMATION OF JOB COMPLETION TIMES IN A DYNAMIC SHOP JOB BASED ON STATIC JOB SHOP SOLUTION." IFAC Proceedings Volumes 40, no. 3 (2007): 81–86. http://dx.doi.org/10.3182/20070523-3-es-4908.00014.
Full textRaue, C., H. M. Strehle, J. Stoldt, A. Schlegel, M. Richter, and T. Langer. "Mehrstufiges multikriterielles Job-Shop-Scheduling*/Multi-Stage and Multi-Criterial Job-Shop-Scheduling." wt Werkstattstechnik online 108, no. 04 (2018): 210–16. http://dx.doi.org/10.37544/1436-4980-2018-04-16.
Full textParveen, Sultana, and Hafiz Ullah. "REVIEW ON JOB-SHOP AND FLOW-SHOP SCHEDULING USING." Journal of Mechanical Engineering 41, no. 2 (April 16, 2011): 130–46. http://dx.doi.org/10.3329/jme.v41i2.7508.
Full textDissertations / Theses on the topic "Ordonnancement de job shop"
Vilcot, Geoffrey. "Algorithmes approchés pour des problèmes d'ordonnancement multicritères de type job shop flexible et job shop multiressource." Phd thesis, Université François Rabelais - Tours, 2007. http://tel.archives-ouvertes.fr/tel-00198068.
Full textRuhlmann, Carine. "Étude du problème de job shop avec un convoyeur /." Thèse, Chicoutimi : Université du Québec à Chicoutimi, 2007. http://theses.uqac.ca.
Full textLa p. de t. porte en outre: Mémoire présenté à l'Université du Québec à Chicoutimi comme exigence partielle de la maîtrise en informatique. CaQCU Bibliogr.: f. 146-152. Document électronique également accessible en format PDF. CaQCU
Benbrahim, Mohammed. "Ordonnancement de la production dans un atelier du type "job shop"." Doctoral thesis, Universite Libre de Bruxelles, 1998. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/212055.
Full textPeridy, Laurent. "Le problème de job-shop : arbitrages et ajustements." Compiègne, 1996. http://www.theses.fr/1996COMP0951.
Full textThe job-shop scheduling problem J//Cmax (rn machines, n jobs) is a very hard problem. So, we have developed some technics which permit to reduce the size of the search space. The basic idea is to prove that some configurations can not produce a schedule with a makespan smaller or equal than an upper bound UB. We have applied this concept at two level : on the machine (local operations) by using the relaxation of the job-shop tom one-machine scheduling problem 1/ri qi/Cmax, and on the job-shop (global operations). In the first part, we present a general framework for a large class of immediate selections. This scheme is based on the study of the positioning of two sets of tasks. By studying the different configurations, we caracterise some constant positioning in all the schedule of makespan smaller or equal than UB. The new information obtained with this model is not sufficient to solve some instances like LA21 or LA29. So we have tried to introduce the interactions between the machines. In the second part, the objective is to impose a condition and to verity if it is valid with the rest of the job-shop. If it is not, the negation of the condition is true in all schedule with makespan smaller or equal than UB. We have used different conditions based on the start time to test this concept. With these, we are able to reduce the size of the search tree for the problems of the literature and to find the best lower bound for the problem LA29
Gorine, Ali. "Ordonnancement des systèmes flexibles avec contrainte de blocage." Thesis, Metz, 2011. http://www.theses.fr/2011METZ013S/document.
Full textThe research in this thesis ; focus on the scheduling problems encountered in automated production systems and takes into account new constraints, such as buffer stocks of limited capacity, flexibility of resources, etc.. Two main objectives are set, namely the proposal of new models of scheduling, development of approaches and lower bounds for scheduling systems studied (classical job shop and hybrid job shop with blocking Rcb). The lower bounds are developed for the problems of job-shop classic and hybrid with Rcb blocking constraint. Heuristics based on simulated annealing have been developed for the job-shop problems subject to the Rcb blocking constraint. Results of experiments conducted on instances of small and medium sizes show the effectiveness of lower bounds and heuristics developed
Knopp, Sebastian. "Complex Job-Shop Scheduling with Batching in Semiconductor Manufacturing." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEM014/document.
Full textThe integration of batching machines within a job-shop environment leads to a complex job-shop scheduling problem. Semiconductor manufacturing presumably represents one of the most prominent practical applications for such problems. We consider a flexible job-shop scheduling problem with p-batching, reentrant flows, sequence dependent setup times and release dates while considering different regular objective functions. The scheduling of parallel batching machines and variants of the job-shop scheduling problem are well-studied problems whereas their combination is rarely considered.Existing disjunctive graph approaches for this combined problem rely on dedicated nodes to explicitly represent batches. To facilitate modifications of the graph, our new modeling reduces this complexity by encoding batching decisions into edge weights. An important contribution is an original algorithm that takes batching decisions “on the fly” during graph traversals. This algorithm is complemented by an integrated move to resequence and reassign operations. This combination yields a rich neighborhood that we apply within a GRASP based metaheuristic approach.We extend this approach by taking further constraints into account that are important in the considered industrial application. In particular, we model internal resources of machines in detail and take maximum time lag constraints into account. Numerical results for benchmark instances of different problem types show the generality and applicability of our approach. The conciseness of our idea facilitates extensions towards further complex constraints needed in real-world applications
Niu, Ganggang. "Decomposition-based job-shop scheduling with discretely controllable processing times." Troyes, 2012. http://www.theses.fr/2012TROY0001.
Full textJob-shop scheduling is the process of selecting and assigning manufacturing resources for specific time periods to the set of manufacturing processes in the plan. Effective scheduling of job sequences and operation processing modes plays an important role in improving productivity, as well as reducing production cost. This thesis studies job-shop scheduling problem with discretely controllable processing times (JSP-DCPT) that widely arises in aeronautics and astronautics industries. JSP-DCPT is a generalization of the classical job-shop scheduling problem (JSP), to which the operation processing time can be reduced at additional cost by assigning a different processing mode to the operation. This research has made significant contributions to handle JSP-DCPT by using hybrid metaheuristics incorporating decompositions. In Chapter 1, various decompositions to production scheduling problems and the literature on JSP-DCPT are firstly reviewed. A disjunctive graph-based modeling approach and a mathematical model for bicriteria JSP-DCPT are then presented. Ac-cording to different logical sequences of sub problem solving, two decompositions are pro-posed and the superiority of the sequencing-first decomposition (SFD) is verified analytically and experimentally. After that, based on partition of tradeoff space by using SFD and appliance of set dominance, an upper bound for cutting the search space is determined. Finally, a hybrid metaheuristic incorporating SFD is proposed and its effectiveness is also validated by computational results
Tamssaouet, Karim. "Multiobjective Complex Job-Shop Scheduling : Application to Semiconductor Manufacturing." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEM016.
Full textThis work deals with a real-life complex scheduling problem arising in semiconductor manufacturing where dispatching rules are still widely used. Optimization algorithms are a promising alternative to dispatching rules, provided that the solved problem encompasses the rich set of complex constraints and criteria. We consider a flexible job-shop scheduling problem with p-batching, reentrant flows, sequence-dependent setup times, unavailability periods, time lags and release dates. Different criteria must be considered to optimize the different operational performances: Overall throughput, target satisfaction, machine utilization and cycle time.The proposed heuristic approach relies on the adaptation of the disjunctive graph that was introduced in a previous thesis, called batch-oblivious where batching decisions are encoded in the arc weights. This graph is extended to allow the modeling of the internal resources of complex batching machines. An efficient algorithm is proposed to simultaneously compute start times and improve the solution during the graph traversal by filling underutilized batches. In addition to this integrated algorithm, the solution is improved within a simulated annealing metaheuristic. Depending on whether the preferences of the decision-maker are given before the search process, different approaches to handle the multiobjective aspect of the problem are studied and compared. The different components are embedded within a parallelized implementation of the GRASP metaheuristic. Different experiments on large size industrial instances show the significant improvement that can be brought by the proposed approach in computational times of several minutes
Baudet, Philippe. "Ordonnancement à court terme d'un atelier discontinu de chimie : cas du fonctionnement job-shop." Toulouse, INPT, 1997. http://www.theses.fr/1997INPT010G.
Full textLamoudan, Tarik. "Algorithmes métaheuristiques pour l'ordonnancement des systèmes de production de type job shop et flow shop." Le Havre, 2011. http://www.theses.fr/2011LEHA0009.
Full textThe thesis concerns two scheduling problems, job shop scheduling and flow scheduling problem. Our contribution focuses on taking account transportation constraints of tasks between machines using a finite number of vehicles. For both problems we have given a new mathematical formulation that includes additional constraints about transportation time and different characteristics of resources (capacity, number, time availability, etc. ). We also give a new resolution algorithm based on ant colonies
Books on the topic "Ordonnancement de job shop"
Siedentopf, Jukka. Job-Shop-Scheduling. Wiesbaden: Deutscher Universitätsverlag, 2002. http://dx.doi.org/10.1007/978-3-322-81417-3.
Full textChakraborty, Uday K., ed. Computational Intelligence in Flow Shop and Job Shop Scheduling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02836-6.
Full textGeorgi, Gerhard. Job Shop Scheduling in der Produktion. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-642-51530-9.
Full textMattfeld, Dirk C. Evolutionary Search and the Job Shop. Heidelberg: Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-662-11712-5.
Full textSong, Yingsheng. Genetic algorithms for job shop scheduling. [S.l: The Author], 2002.
Find full textSmunt, Timothy L. Lot splitting in stochastic flow shop and job shop environments. Champaign: University of Illinois at Urbana-Champaign, 1993.
Find full textYe, Peng. An object-oriented architecture for job shop scheduling. [s.l: The Author], 1996.
Find full textYe, Minghua. An integrated approach to job shop control problems. Birmingham: University of Birmingham, 1990.
Find full textKuhpfahl, Jens. Job Shop Scheduling with Consideration of Due Dates. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-10292-0.
Full textCopyright Paperback Collection (Library of Congress), ed. Shop till you drop: A dead-end job mystery. New York: Signet, 2003.
Find full textBook chapters on the topic "Ordonnancement de job shop"
Tanaev, V. S., Y. N. Sotskov, and V. A. Strusevich. "Job Shop." In Scheduling Theory. Multi-Stage Systems, 128–78. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1192-8_3.
Full textAnsari, Nirwan, and Edwin Hou. "Job Shop Scheduling." In Computational Intelligence for Optimization, 189–201. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6331-0_11.
Full textRabelo, Luis C., and Albert Jones. "Job Shop Scheduling." In Encyclopedia of Operations Research and Management Science, 817–30. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_490.
Full textKomm, Dennis. "Job Shop Scheduling." In Texts in Theoretical Computer Science. An EATCS Series, 155–82. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42749-2_5.
Full textPesch, Erwin. "Job Shop Scheduling." In Learning in Automated Manufacturing, 58–134. Heidelberg: Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-49366-9_3.
Full textLenstra, J. K. "Job Shop Scheduling." In Combinatorial Optimization, 199–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77489-8_10.
Full textToomey, John W. "Job-Shop Execution." In Mrp II, 128–45. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4615-4117-2_9.
Full textBagchi, Tapan P. "Job Shop Scheduling." In Multiobjective Scheduling by Genetic Algorithms, 109–35. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5237-6_5.
Full textMattfeld, Dirk C. "Job Shop Scheduling." In Evolutionary Search and the Job Shop, 7–26. Heidelberg: Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-662-11712-5_2.
Full textSiedentopf, Jukka. "Motivation." In Job-Shop-Scheduling, 1–2. Wiesbaden: Deutscher Universitätsverlag, 2002. http://dx.doi.org/10.1007/978-3-322-81417-3_1.
Full textConference papers on the topic "Ordonnancement de job shop"
Nevitt, Mark, David A. Belforte, and Morris R. Levitt. "Job Shop Market." In Medical Imaging. SPIE, 1989. http://dx.doi.org/10.1117/12.971035.
Full textBelforte, David A. "Job shop market." In Chicago - DL tentative, edited by David A. Belforte and Morris R. Levitt. SPIE, 1991. http://dx.doi.org/10.1117/12.49091.
Full textZhang Shuli and Liu Shenghui. "Nonstandard Job Shop Scheduling Algorithm." In International Conference on Software Intelligence Technologies and Applications & International Conference on Frontiers of Internet of Things 2014. Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1585.
Full textXinyi, Shen, Wang Aimin, Ge Yan, and Ye Jieran. "Job Shop Scheduling Problem with Job Sizes and Inventories." In 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT). IEEE, 2020. http://dx.doi.org/10.1109/icmimt49010.2020.9041174.
Full textToader, Florentina Alina. "Evolutionary algorithms for job shop scheduling." In 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2016. http://dx.doi.org/10.1109/ecai.2016.7861098.
Full textArfi, Farid, Djamel Eddine Saidouni, and Jean-Michel Ilie. "A model for job-shop problem." In 2012 International Conference on Information Technology and e-Services (ICITeS). IEEE, 2012. http://dx.doi.org/10.1109/icites.2012.6216644.
Full textVakhania, Nodari. "Global Estimations for Multiprocessor Job-Shop." In 2007 IEEE Symposium on Computational Intelligence in Scheduling. IEEE, 2007. http://dx.doi.org/10.1109/scis.2007.367671.
Full textHow, W. C., and K. E. Chong. "POLCA simulation game for job shop." In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2016. http://dx.doi.org/10.1109/ieem.2016.7798046.
Full textBozejko, Wojciech, and Mieczyslaw Wodecki. "On Cyclic Job Shop Scheduling Problem." In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES). IEEE, 2018. http://dx.doi.org/10.1109/ines.2018.8523910.
Full textKunnathur, Anand S., Sriram Sampath, and P. S. Sundararagharan. "Dynamic rescheduling of a job shop." In the 28th conference. New York, New York, USA: ACM Press, 1996. http://dx.doi.org/10.1145/256562.256915.
Full textReports on the topic "Ordonnancement de job shop"
Pasch, Kenneth A. Heuristics for Job-Shop Scheduling. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada198192.
Full textCheng, Cheng-Chung, and Stephen F. Smith. Applying Constraint Satisfaction Techniques to Job Shop Scheduling. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada293583.
Full textSadeh, Norman, Katia Sycara, and Yalin Xiong. Backtracking Techniques for the Job Shop Scheduling Constraint Satisfaction Problem. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada289435.
Full textPelkey, Ryan. Coordinating Job Release Dates with Workdays: A Job Shop Application to Utilities Field Service Scheduling. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1510.
Full textSadeh, Norman M., and Mark S. Fox. Variable and Value Ordering Heuristics for the Job Shop Scheduling Constraint Satisfaction Problem. Fort Belvoir, VA: Defense Technical Information Center, November 1995. http://dx.doi.org/10.21236/ada311303.
Full textGuliashki, Vassil, and Leoneed Kirilov. Algorithm Generating Initial Population of Schedules for Population-based Algorithms Solving Flexible Job Shop Problems. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, June 2019. http://dx.doi.org/10.7546/crabs.2019.06.01.
Full textSaha, Amrita, Jodie Thorpe, Keir Macdonald, and Kelbesa Megersa. Linking Business Environment Reform with Gender and Inclusion: A Study of Business Licensing Reform in Indonesia. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/k4d.2021.001.
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