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Journal articles on the topic 'Ordonnancement de job shop'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

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.

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2

Harrath, 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.

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3

Haït, 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.

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4

Schauer, 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.

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5

Brucker, 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.

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6

Kuroda, 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.

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7

Pruett, 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.

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8

Heitz, 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.

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9

Raue, 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.

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Energiepolitische Veränderungen erhöhen den Druck auf Produktionsunternehmen, erneuerbare Energiequellen zu nutzen. Deren Einbindung erfordert die Entwicklung neuer Ansätze zur Produktionsplanung und -steuerung (PPS). Dazu wird ein mehrstufiges simulationsbasiertes Verfahren für ein reales Job-Shop-Problem vorgeschlagen, welches die Shifting-Bottleneck-Heuristik zur Findung einer kundenorientierten Ausgangslösung auf Basis des prognostizierten Energieangebots nutzt. Vom resultierenden Lastprofil ausgehend wird eine Feinterminierung zur Optimierung von Lastspitzen unter Beachtung der Ergebnisse der Vorplanung durchgeführt. Auswirkungen kurzfristiger stochastischer Einflüsse werden überdies durch intelligente Produktionssteuerung, aber auch durch aktives Energie- und Lastmanagement kompensiert. Im vorliegenden Beitrag werden für das Anwendungsszenario Flexibilitätspotentiale abgeleitet und das Konzept des „ZIEL“-Systems erläutert. Darüber hinaus wird der aktuelle Bearbeitungsstand abgegrenzt und weiterführende Arbeiten vorgestellt.   Taking responsibility for a sustained energy policy the industry is more and more forced to enhance their engagement in the use of renewable energy. To go beyond energy efficient equipment new approaches in production planning and control tailored to meet both economic and ecological goals are needed. Hence, a multistage simulation based procedure for a real-life oriented job shop production scenario is proposed. It combines a modified version of the Shifting Bottleneck Heuristic for gaining a production plan with energy supply constraints and a sophisticated energy simulation with Matlab Simulink. Short-term and stochastic effects are tackled with suited production control strategies as well as active energy- and load-management. In this paper flexibility options for the use case are derived and the concept of the „ZIEL“ system explained. The current work and the ongoing research are shown.

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10

Parveen, 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.

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Scheduling is widely studied and complex combinatorial optimization problems. A vast amount of research has been performed in this particular area to effectively schedule jobs for various objectives. The multi-criteria scheduling problem is one of the main research subjects in the field of modern manufacturing where most of them are considered as NP-hard. This paper discusses the more recent literature on scheduling using multi criteria decision making (MCDM). This article addresses both job-shop and flow-shop scheduling problem.DOI: http://dx.doi.org/10.3329/jme.v41i2.7508

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11

HUTCHISON, J., and Y. L. CHANG. "Optimal nondelay job shop schedules." International Journal of Production Research 28, no. 2 (February 1990): 245–57. http://dx.doi.org/10.1080/00207549008942707.

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12

Serafini, P., and W. Ukovich. "A Periodic Job Shop Model." IFAC Proceedings Volumes 22, no. 14 (September 1989): 89–94. http://dx.doi.org/10.1016/s1474-6670(17)54331-1.

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13

Barker, Jeffrey R., and Graham B. McMahon. "Scheduling the General Job-Shop." Management Science 31, no. 5 (May 1985): 594–98. http://dx.doi.org/10.1287/mnsc.31.5.594.

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14

Musser, K. L., J. S. Dhingra, and G. L. Blankenship. "Optimization based job shop scheduling." IEEE Transactions on Automatic Control 38, no. 5 (May 1993): 808–13. http://dx.doi.org/10.1109/9.277252.

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15

Mauergauz, Yuri. "Dynamic group job shop scheduling." International Journal of Management Science and Engineering Management 10, no. 1 (September 9, 2014): 41–49. http://dx.doi.org/10.1080/17509653.2014.952360.

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16

Lei, Deming. "Interval job shop scheduling problems." International Journal of Advanced Manufacturing Technology 60, no. 1-4 (September 8, 2011): 291–301. http://dx.doi.org/10.1007/s00170-011-3600-3.

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17

LIU, S. Q., and H. L. ONG. "METAHEURISTICS FOR THE MIXED SHOP SCHEDULING PROBLEM." Asia-Pacific Journal of Operational Research 21, no. 01 (March 2004): 97–115. http://dx.doi.org/10.1142/s0217595904000072.

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In this paper, three metaheuristics are proposed for solving a class of job shop, open shop, and mixed shop scheduling problems. We evaluate the performance of the proposed algorithms by means of a set of Lawrence's benchmark instances for the job shop problem, a set of randomly generated instances for the open shop problem, and a combined job shop and open shop test data for the mixed shop problem. The computational results show that the proposed algorithms perform extremely well on all these three types of shop scheduling problems. The results also reveal that the mixed shop problem is relatively easier to solve than the job shop problem due to the fact that the scheduling procedure becomes more flexible by the inclusion of more open shop jobs in the mixed shop.

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18

Guinet, Alain. "Efficiency of reductions of job-shop to flow-shop problems." European Journal of Operational Research 125, no. 3 (September 2000): 469–85. http://dx.doi.org/10.1016/s0377-2217(99)00389-6.

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19

Smunt, Timothy L., Arnold H. Buss, and Dean H. Kropp. "Lot Splitting in Stochastic Flow Shop and Job Shop Environments." Decision Sciences 27, no. 2 (June 1996): 215–38. http://dx.doi.org/10.1111/j.1540-5915.1996.tb01716.x.

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20

Cheng, T. C. E. "Analysis of Job Flow-Time in a Job Shop." Journal of the Operational Research Society 36, no. 3 (March 1985): 225. http://dx.doi.org/10.2307/2582253.

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21

Cheng, T. C. E. "Analysis of Job Flow-Time in a Job Shop." Journal of the Operational Research Society 36, no. 3 (March 1985): 225–30. http://dx.doi.org/10.1057/jors.1985.40.

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22

JANG, Yang-Ja, Ki-Dong KIM, Seong-Yong JANG, and Jinwoo PARK. "Flexible Job Shop Scheduling with Multi-level Job Structures." JSME International Journal Series C 46, no. 1 (2003): 33–38. http://dx.doi.org/10.1299/jsmec.46.33.

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23

Bürgy, Reinhard, and Heinz Gröflin. "Optimal job insertion in the no-wait job shop." Journal of Combinatorial Optimization 26, no. 2 (March 16, 2012): 345–71. http://dx.doi.org/10.1007/s10878-012-9466-y.

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24

Holthaus, Oliver, and Hans Ziegler. "Look ahead job demanding for improving job shop performance." Operations-Research-Spektrum 19, no. 1 (March 1997): 23–29. http://dx.doi.org/10.1007/bf01539802.

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25

Zribi, Nozha, Luminița Duță, and A. El Kamel. "MPM Job-shop under Availability Constraints." International Journal of Computers Communications & Control 4, no. 4 (December 1, 2009): 439. http://dx.doi.org/10.15837/ijccc.2009.4.2459.

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A large part of scheduling literature assumes that machines are available all the time. In this paper, the MPM Job-shop scheduling problem, where the machine maintenance has to be performed within certain time intervals inducing machine unavailability, is studied. Two approaches to solve the problem are proposed. The first is a two-phase approach where the assignment and the sequencing are solved separately. The second is an integrated approach based on the exact resolution of the 2-job problem using the geometric approach.

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26

XIE, Zhiqiang. "NEW NONSTANDARD JOB SHOP SCHEDULING ALGORITHM." Chinese Journal of Mechanical Engineering (English Edition) 21, no. 04 (2008): 97. http://dx.doi.org/10.3901/cjme.2008.04.097.

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27

Kimbrel, Tracy, and Maxim Sviridenko. "High-multiplicity cyclic job shop scheduling." Operations Research Letters 36, no. 5 (September 2008): 574–78. http://dx.doi.org/10.1016/j.orl.2008.06.005.

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28

Watanabe, T., H. Tokumaru, and Y. Hashimoto. "Job-Shop Scheduling Using Neural Networks." IFAC Proceedings Volumes 26, no. 2 (July 1993): 485–88. http://dx.doi.org/10.1016/s1474-6670(17)48515-6.

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29

Kis, Tamás. "Job-shop scheduling with processing alternatives." European Journal of Operational Research 151, no. 2 (December 2003): 307–32. http://dx.doi.org/10.1016/s0377-2217(02)00828-7.

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30

Kopecek, Pavel. "JOB SHOP SCHEDULING IN MECHANICAL ENGINEERING." MM Science Journal 2011, no. 02 (June 27, 2011): 239–42. http://dx.doi.org/10.17973/mmsj.2011_07_201104.

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31

Mahdavinejad, Ramezan Ali. "Job Shop-Scheduling Problems- Single Process." Applied Mechanics and Materials 44-47 (December 2010): 330–34. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.330.

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In this paper, single-processors jobshop scheduling problems are solved by a heuristic algorithm based on the hybrid of priority dispatching rules according to an ant colony optimization algorithm. The objective function is to minimize the makespan, i.e. total completion time, in which a simultanous presence of various kinds of ferons is allowed. The process of finding the best solution will be improved by using the suitable hybrid of priority dispatching rules. Ant colony optimization algorithm, not only promote the ability of this proposed algorithm, but also decreases the total working time because of decreasing in setup times and modifying the working production line. By solving some problems as samples (i.e. Fisher's & Thomson's problems), this algorithm is compared with the others. The results show that when the size of the problem becomes lorger, the deviation from lower limit increases, but its rate decreases with the size of the problems, so that it reaches to its limit.

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32

Sabuncuoglu, I., and M. Bayiz. "Job shop scheduling with beam search." European Journal of Operational Research 118, no. 2 (October 1999): 390–412. http://dx.doi.org/10.1016/s0377-2217(98)00319-1.

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33

Seidel, R. H. A., and G. Arndt. "Productivity Improvement in Job Shop Production." CIRP Annals 37, no. 1 (1988): 421–24. http://dx.doi.org/10.1016/s0007-8506(07)61668-0.

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34

BENHABIB, B., M. CHARANIA, A. CUPILLARI, R. G. FENTON, and I. B. TURKSEN. "CIM implementation for job-shop environments." Production Planning & Control 1, no. 4 (October 1990): 235–50. http://dx.doi.org/10.1080/09537289008919321.

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35

YAMASHITA, Satoshi, Toru EGUCHI, and Takeshi MURAYAMA. "Job shop scheduling with capacity adjustment." Proceedings of Mechanical Engineering Congress, Japan 2019 (2019): S14212P. http://dx.doi.org/10.1299/jsmemecj.2019.s14212p.

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36

Yongsuo, Zi, Zhang Caimeng, Hong Yinsheng, Qiu Pengrui, and Shu Wangjiao. "Research on JOB SHOP Scheduling Problem." Journal of Physics: Conference Series 1607 (August 2020): 012050. http://dx.doi.org/10.1088/1742-6596/1607/1/012050.

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37

EGUCHI, Toru, Mitsunobu YODA, Takeshi MURAYAMA, and Fuminori OBA. "Job Shop Scheduling with Capacity Adjustment." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2007.4 (2007): 8F619. http://dx.doi.org/10.1299/jsmelem.2007.4.8f619.

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38

EGUCHI, Toru, Satoshi YAMASHITA, and Takeshi MURAYAMA. "Job shop scheduling with capacity adjustment." Proceedings of Mechanical Engineering Congress, Japan 2018 (2018): S1420006. http://dx.doi.org/10.1299/jsmemecj.2018.s1420006.

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39

Sherwood, Bert J. "Survival of the fittest job shop." Metal Finishing 106, no. 10 (October 2008): 58–60. http://dx.doi.org/10.1016/s0026-0576(08)80207-3.

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40

Schartner, Andreas, and James M. Pruett. "Interactive Job Shop Scheduling: An Experiment." Decision Sciences 22, no. 5 (November 12, 1991): 1024–46. http://dx.doi.org/10.1111/j.1540-5915.1991.tb01905.x.

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41

Vaessens, R. J. M., E. H. L. Aarts, and J. K. Lenstra. "Job Shop Scheduling by Local Search." INFORMS Journal on Computing 8, no. 3 (August 1996): 302–17. http://dx.doi.org/10.1287/ijoc.8.3.302.

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42

NASR, NABIL, and E. A. ELSAYED. "Job shop scheduling with alternative machines." International Journal of Production Research 28, no. 9 (September 1990): 1595–609. http://dx.doi.org/10.1080/00207549008942818.

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43

Jain, A. S., and S. Meeran. "Job-shop scheduling using neural networks." International Journal of Production Research 36, no. 5 (May 1998): 1249–72. http://dx.doi.org/10.1080/002075498193309.

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44

Smith, J. S., B. A. Peters, and A. Srinivasan. "Job shop scheduling considering material handling." International Journal of Production Research 37, no. 7 (May 1999): 1541–60. http://dx.doi.org/10.1080/002075499191120.

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45

Kathawala, Yunus, and William R. Allen. "Expert Systems and Job Shop Scheduling." International Journal of Operations & Production Management 13, no. 2 (February 1993): 23–35. http://dx.doi.org/10.1108/01443579310025286.

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46

Singh, Manjeet, Gürsel A. Süer, and Feyzan Arikan. "Multi-objective fuzzy job shop scheduling." International Journal of Fuzzy Computation and Modelling 1, no. 1 (2014): 15. http://dx.doi.org/10.1504/ijfcm.2014.064225.

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47

Liljenvall, Torbjörn. "Job-Shop Scheduling with Limited Buffers." IFAC Proceedings Volumes 30, no. 3 (April 1997): 301–2. http://dx.doi.org/10.1016/s1474-6670(17)44508-3.

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48

Kolharkar, Shantanu. "“Scheduling in Job Shop Process Industry”." IOSR Journal of Mechanical and Civil Engineering 5, no. 1 (2013): 1–17. http://dx.doi.org/10.9790/1684-0510117.

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49

Dubois, Didier, H�l�ne Fargier, and Henri Prade. "Fuzzy constraints in job-shop scheduling." Journal of Intelligent Manufacturing 6, no. 4 (August 1995): 215–34. http://dx.doi.org/10.1007/bf00128646.

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50

van Laarhoven, Peter J. M., Emile H. L. Aarts, and Jan Karel Lenstra. "Job Shop Scheduling by Simulated Annealing." Operations Research 40, no. 1 (February 1992): 113–25. http://dx.doi.org/10.1287/opre.40.1.113.

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