Journal articles: 'Sequencing of the production'

1

SCHRANER, ERIKA, and WARREN H. HAUSMAN. "Optimal production operations sequencing." IIE Transactions 29, no. 8 (August 1997): 651–60. http://dx.doi.org/10.1080/07408179708966375.

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2

Joe, W. Q. "Sequencing and interleaving in routineaction production." Neurocase 8, no. 1 (February 1, 2002): 150. http://dx.doi.org/10.1093/neucas/8.1.150.

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Asad, Mohammad Waqar Ali. "Multi-period quarry production planning through sequencing techniques and sequencing algorithm." Journal of Mining Science 44, no. 2 (March 2008): 206–17. http://dx.doi.org/10.1007/s10913-008-0034-x.

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4

Grabowski, Jozef, and Jaroslaw Pempera. "Sequencing of jobs in some production system." European Journal of Operational Research 125, no. 3 (September 2000): 535–50. http://dx.doi.org/10.1016/s0377-2217(99)00224-6.

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5

KASPI, M., and T. RAZ. "Optimal sequencing of production and inspection operations." International Journal of Production Research 32, no. 1 (January 1994): 209–21. http://dx.doi.org/10.1080/00207549408956924.

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Joe, Wilson Q., Mary Ferraro, and Myrna F. Schwartz. "Sequencing and Interleaving in Routine Action Production." Neurocase 8, no. 1-2 (February 2002): 135–50. http://dx.doi.org/10.1093/neucas/8.1.135.

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7

Puquan Xu, Changyou Liu, and Xinhe Xu. "On sequencing problems of repetitive production systems." IEEE Transactions on Automatic Control 38, no. 7 (July 1993): 1124–28. http://dx.doi.org/10.1109/9.231469.

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Kritikos, Manolis N., and George Ioannou. "Sequencing material handling equipment in production facilities." International Transactions in Operational Research 14, no. 4 (July 2007): 291–307. http://dx.doi.org/10.1111/j.1475-3995.2007.00588.x.

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Yadollahpour, Mohammad Reza, and Behrooz ArbabShirani. "Hot strip mill production planning and sequencing." International Journal of Services and Operations Management 31, no. 1 (2018): 98. http://dx.doi.org/10.1504/ijsom.2018.094179.

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Yadollahpour, Mohammad Reza, and Behrooz ArbabShirani. "Hot strip mill production planning and sequencing." International Journal of Services and Operations Management 31, no. 1 (2018): 98. http://dx.doi.org/10.1504/ijsom.2018.10015166.

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11

Zhou, Fu. "Evaluation Criterion of Hybrid Assembly Production Sequencing Management." Applied Mechanics and Materials 644-650 (September 2014): 5844–47. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.5844.

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Hybrid assembly production sequencing directly affects the continuity, balance and punctuality of production process. First, the sets of sequencing scheme of minimum makespan was selected. Furthermore, workshop simulation models with Flexsim software were established, then obtained the value of makespan, the number of WIP and equipment utilization rate. Finally, according to the evaluation criterion of minimum makespan and number of WIP and maximum equipment utilization rate, evaluation performance function of hybrid assembly sequencing scheme was built and the optimal overall performance sequencing scheme was selected. In this paper, the car seat hybrid assembly production line was employed to analyze the sequencing as an example, and the obtained car seat production line sequencing scheme improves production capacity.

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Zemczak, Marcin, Bożena Skołud, and Damian Krenczyk. "Application of Graph Theory for Production Orders Sequencing in Mixed-Model Production Systems." Applied Mechanics and Materials 809-810 (November 2015): 1343–47. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.1343.

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In this paper, problem of sequencing of production orders in mixed-model assembly systems is being analysed. The sequencing in such system is mostly addressed as a CSP problem (Car Sequencing Problem) and due to the fact that no optimal method of solution has yet been found it belongs to the NP-hard problems [1,2]. The NP-hardness of the problem has been proven in [3]. The problem connected with proper sequencing arises from the fact that nowadays it’s the clients who have the biggest influence on the sellers offer. The possibility to customize almost each and every product complicates the production management, as instead of having 10 different products, the number of them may grow up to few hundreds [4]. The problem may be especially observed in automotive industry, however recently it may be also met in household appliances industry, as mass customization can be also observed on that market. Each product may differ in labor-effectiveness, and due to the fact of carrying the assembly in linear assembly systems, each unevenness, each transgression of takt time on a single work-station may lead to the line stoppage.

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Li, Zhe Kun, Zhao Yang Zhou, Yu Sheng Zou, Ming Yi Wu, and Ge Yi Liu. "Sequencing and Scheduling for Setting up a Flexible Tobacco Production Line." Advanced Materials Research 889-890 (February 2014): 1185–88. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.1185.

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A reasonable scheduling can make tobacco production realize flexibility. That will realize swiftly response to customer's requirements and various batch productions by means of group processing. Ability of flexible production technology will have greatly influences to the tobacco enterprise competitiveness. Under the guidance of flexible tobacco production line control the processing cycle, according to the different characteristics of recipe ingredients and brands to bring about a method of fine tobacco making that can greatly promote the coordination between the tobacco raw materials and processing technology, reduces fluctuations in product quality, maximize the potential of raw materials and improve the quality of product.

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14

Zemczak, Marcin. "Production Orders Sequencing in Mixed-Model Assembly Lines." Applied Mechanics and Materials 657 (October 2014): 359–63. http://dx.doi.org/10.4028/www.scientific.net/amm.657.359.

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The paper presents the production orders sequencing issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature research, the sequencing problem considered in the paper, may be denoted as CSP (Car Sequencing Problem) and belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem [1]. Optimal method of solution has not yet been found, therefore only approximate solutions have been offered [2]. Approximate solutions are based mainly on the evolutionary algorithms. However certain problems, as lack of possibility to check the effectiveness of the solution or the possibility to reach twice the same solution are observed. Regardless of the structure of specific assembly system, while considering reception of new tasks into the execution, current review of the state of the system is obligatory in order to decide whether, when and which new order can be accepted for assembly. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence.

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15

Liu, Jian Feng. "Optimization Simulation of Hybrid Assembly Production Sequencing Management." Advanced Materials Research 850-851 (December 2013): 1008–11. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1008.

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Sequencing of hybrid assembly production directly affects the balancecontinuity and punctuality of production process. First, the mathematical models with MILP of hybrid assembly production are established, and then the sets of sequencing scheme of minimum makespan which meet customers demands are obtained. Furthermore workshop simulation models with Flexsim software are established. In this paper, the painting hybrid assembly production line of some automobile engine manufacturing plant was employed to analyze the sequencing as an example, and the obtained painting production line sequencing scheme is consistent with the actual production of enterprises and it improves production capacity.

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16

Bierbaum, Gabriele, Heike BrÃ¶tz, Klaus-Peter Koller, and Hans-Georg Sahl. "Cloning, sequencing and production of the lantibiotic mersacidin." FEMS Microbiology Letters 127, no. 1-2 (March 1995): 121–26. http://dx.doi.org/10.1111/j.1574-6968.1995.tb07460.x.

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17

Wolters, W. T. M., A. J. D. Lambert, and J. Claus. "Sequencing problems in designing energy efficient production systems." International Journal of Production Economics 41, no. 1-3 (October 1995): 405–10. http://dx.doi.org/10.1016/0925-5273(95)00057-7.

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18

Zemczak, Marcin, and Damian Krenczyk. "A New Procedure of Production Orders Sequencing in Mixed-Model Production Systems." Advanced Materials Research 1036 (October 2014): 864–68. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.864.

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The paper presents the task scheduling issue, which main aim is to establish a proper sequence of tasks, that would maximize the utilization of companys production capacity. According to the literature sources, the presented sequencing problem, denoted as CSP (Car Sequencing Problem) belongs to the NP-hard class, as has been proven by simple reduction from Hamiltonians Path problem. Optimal method of solution has not yet been found, only approximate solutions have been offered, especially from the range of evolutionary algorithms. Regardless of specific production system, while considering reception of new tasks into the system, current review of the state of the system is required in order to decide whether and when a new order can be accepted for execution. In this paper, the problem of task scheduling is limited to the specific existing mixed-model production system. The main goal is to determine the effective method of creation of task sequence. Through the use of computational algorithms, and automatic analysis of the resulting sequence, rates of production are able to be checked in a real time, and so improvements can be proposed and implemented.

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19

Guitar, Barry, Carroll Guitar, Peter Neilson, Nicholas O'Dwyer, and Gavin Andrews. "Onset Sequencing of Selected Lip Muscles in Stutterers and Nonstutterers." Journal of Speech, Language, and Hearing Research 31, no. 1 (March 1988): 28–35. http://dx.doi.org/10.1044/jshr.3101.28.

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The present study examined lip muscle activity during the speech production of stutterers and fluent speakers to provide information about the nature of stuttering blocks. Depressor Anguli Oris (DAO) and Depressor Labii Inferioris (DLI) were recorded, using hooked-wire electromyography (EMG), in 3 stutterers and 3 nonstutterers during productions of the words "peek", "puck", and "pack. " E M G records indicated that nonstutters activated DAO prior to DLI for production of the initial/p/. Stutterers frequently reversed this sequence of onset, particularly when they stuttered. Results are discussed in terms of mistiming versus anticipatory hypertension hypotheses about stuttering.

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20

SALLMANN, H. P., H. FUHRMANN, K. HUTTEL, and H. GELDERMANN. "Production and use of bovine DNA libraries : DNA-sequencing." Revue Scientifique et Technique de l'OIE 9, no. 1 (March 1, 1990): 231–33. http://dx.doi.org/10.20506/rst.9.1.477.

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21

Krampe, Ralf Th, Ulrich Mayr, and Reinhold Kliegl. "Timing, Sequencing, and Executive Control in Repetitive Movement Production." Journal of Experimental Psychology: Human Perception and Performance 31, no. 3 (2005): 379–97. http://dx.doi.org/10.1037/0096-1523.31.3.379.

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22

Caicedo, A. J., J. W. Parra, and L. Rivera. "Mathematical model for production sequencing in a manufacturing company." Journal of Physics: Conference Series 1388 (November 2019): 012001. http://dx.doi.org/10.1088/1742-6596/1388/1/012001.

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23

Shi, Jim Junmin, Xiaohang Yue, and Yao Zhao. "Operations sequencing for a multi-stage production inventory system." Naval Research Logistics (NRL) 61, no. 2 (February 18, 2014): 144–54. http://dx.doi.org/10.1002/nav.21572.

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24

Povinelli, C. M., and R. A. Gibbs. "Large-Scale Sequencing Library Production: An Adapter-Based Strategy." Analytical Biochemistry 210, no. 1 (April 1993): 16–26. http://dx.doi.org/10.1006/abio.1993.1144.

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25

Liu, Lin, Yuling Hong, Xin Ye, Lili Wei, Jie Liao, Xu Huang, and Chaoxiang Liu. "Biodiesel production from microbial granules in sequencing batch reactor." Bioresource Technology 249 (February 2018): 908–15. http://dx.doi.org/10.1016/j.biortech.2017.10.105.

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26

Zhang, Liang, and Xiaohang Yue. "Operations Sequencing in Flexible Production Lines With Bernoulli Machines." IEEE Transactions on Automation Science and Engineering 8, no. 3 (July 2011): 645–53. http://dx.doi.org/10.1109/tase.2011.2109061.

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27

Afentakis, Panos. "Simultaneous Lot Sizing and Sequencing for Multistage Production Systems." IIE Transactions 17, no. 4 (December 1985): 327–31. http://dx.doi.org/10.1080/07408178508975311.

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28

Ben-Arieh, D., and C. L. Moodie. "Knowledge based routing and sequencing for discrete part production." Journal of Manufacturing Systems 6, no. 4 (1987): 287–97. http://dx.doi.org/10.1016/0278-6125(87)90005-7.

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29

Gellert, Torsten, Wiebke Höhn, and Rolf H. Möhring. "Sequencing and scheduling for filling lines in dairy production." Optimization Letters 5, no. 3 (May 17, 2011): 491–504. http://dx.doi.org/10.1007/s11590-011-0336-9.

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30

Lemay, Danielle G., Russell C. Hovey, Stella R. Hartono, Katie Hinde, Jennifer T. Smilowitz, Frank Ventimiglia, Kimberli A. Schmidt, et al. "Sequencing the transcriptome of milk production: milk trumps mammary tissue." BMC Genomics 14, no. 1 (2013): 872. http://dx.doi.org/10.1186/1471-2164-14-872.

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31

Joy, Louis W., and Francis Smith. "Improuing shop floor operations through production sequencing at EMC technology." National Productivity Review 17, no. 2 (1998): 19–28. http://dx.doi.org/10.1002/npr.4040170205.

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32

Kumral, Mustafa. "Production planning of mines: Optimisation of block sequencing and destination." International Journal of Mining, Reclamation and Environment 26, no. 2 (June 2012): 93–103. http://dx.doi.org/10.1080/17480930.2011.644474.

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33

Nyström, Rasmus H., Rüdiger Franke, Iiro Harjunkoski, and Andreas Kroll. "Production campaign planning including grade transition sequencing and dynamic optimization." Computers & Chemical Engineering 29, no. 10 (September 2005): 2163–79. http://dx.doi.org/10.1016/j.compchemeng.2005.07.006.

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34

Stoyancheva, Galina, Marta Marzotto, Franco Dellaglio, and Sandra Torriani. "Bacteriocin production and gene sequencing analysis from vaginal Lactobacillus strains." Archives of Microbiology 196, no. 9 (June 12, 2014): 645–53. http://dx.doi.org/10.1007/s00203-014-1003-1.

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35

Graells, M., A. Espuña, and L. Puigjaner. "Sequencing intermediate products: A practical solution for multipurpose production scheduling." Computers & Chemical Engineering 20 (January 1996): S1137—S1142. http://dx.doi.org/10.1016/0098-1354(96)00197-4.

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36

Piemonte, Vincenzo, Luisa Di Paola, Sudip Chakraborty, and Angelo Basile. "Sequencing batch reactors (SBRs) for BioH2 production: Reactor operation criteria." International Journal of Hydrogen Energy 39, no. 10 (March 2014): 4863–69. http://dx.doi.org/10.1016/j.ijhydene.2014.01.075.

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37

Seitz, M., J. Mayer, A. Mütze, and P. Nyhuis. "Produktivität versus Termintreue*/Productivity versus schedule compliance – Logistics-oriented order sequencing for multi-stage production processes." wt Werkstattstechnik online 109, no. 04 (2019): 206–10. http://dx.doi.org/10.37544/1436-4980-2019-04-4.

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Die logistische Leistungsfähigkeit und Wirtschaftlichkeit einer Produktion werden durch die Auftragsreihenfolgebildung beeinflusst. Mathematische Modelle zur Beschreibung der Auswirkungen verschiedener Reihenfolgeregeln auf logistische Zielgrößen einzelner Arbeitssysteme können zur Ableitung von Reihenfolgestrategien für mehrstufige Produktionen genutzt werden. Die Festlegung der Strategie erfolgt dabei durch eine bewusste Positionierung im Spannungsfeld zwischen Produktivität und Termintreue.   The logistical performance and economic efficiency of a production system are influenced by order sequencing. Mathematical models to describe the effects of different sequencing rules on logistic target variables of individual workstations may be used to derive sequencing strategies for multi-stage productions. The strategy is defined by conscious positioning in the conflicting fields of productivity and schedule compliance.

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38

Ponce de León, F. Abel, and Gustavo A. Gutierrez. "Genomics and animal production." Revista Peruana de Biología 27, no. 1 (March 4, 2020): 015–20. http://dx.doi.org/10.15381/rpb.v27i1.17574.

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Developing countries have the challenge of achieving food security in a world context that is affected by climate change and global population growth. Molecular Genetics and genomics are proposed as technologies that will help to achieve sustainable food security. Technologies that have been developed in the last decade such as the development of genetic markers, genetic maps, genomic selection, next-generation sequencing, and DNA editing systems are discussed. Examples of some discoveries and achievements are provided.

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39

WANG, Binggang. "Sequencing Mixed-model Production Systems by Modified Multi-objective Genetic Algorithms." Chinese Journal of Mechanical Engineering 23, no. 05 (2010): 537. http://dx.doi.org/10.3901/cjme.2010.05.537.

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40

Chan, W. T., and Hao Hu. "Production Scheduling for Precast Plants using a Flow Shop Sequencing Model." Journal of Computing in Civil Engineering 16, no. 3 (July 2002): 165–74. http://dx.doi.org/10.1061/(asce)0887-3801(2002)16:3(165).

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41

Jin, Mingzhou, Yi Luo, and Sandra D. Eksioglu. "Integration of production sequencing and outbound logistics in the automotive industry." International Journal of Production Economics 113, no. 2 (June 2008): 766–74. http://dx.doi.org/10.1016/j.ijpe.2007.11.003.

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42

Sumichrast, Robert T., Keith A. Oxenrider, and Edward R. Clayton. "An Evolutionary Algorithm for Sequencing Production on a Paced Assembly Line." Decision Sciences 31, no. 1 (March 2000): 149–72. http://dx.doi.org/10.1111/j.1540-5915.2000.tb00928.x.

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43

McMullen, P. R. "An objective function to address production sequencing with minimal tooling replacements." International Journal of Production Research 44, no. 12 (June 15, 2006): 2465–78. http://dx.doi.org/10.1080/00207540500478181.

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44

Taherian, Taher, and Samira Bairamzadeh. "Sequencing and scheduling oriented customer driven production planning in CONWIP systems." International Journal of Computer Applications 41, no. 14 (March 31, 2012): 18–24. http://dx.doi.org/10.5120/5608-7876.

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45

Lee, Sang-Un. "Maximum Options-Equiped Class First-Production Algorithm for Car Sequencing Problem." Journal of the Korea Society of Computer and Information 20, no. 9 (September 30, 2015): 105–11. http://dx.doi.org/10.9708/jksci.2015.20.9.105.

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46

Son, Jae-hyup, Sang-Hyeop Cha, Jun-mo Park, and Hung-suck Park. "Production of Polyhydroxyalkanoates (PHAs) from Sequencing Batch Reactor Using Synthetic Wastewater." Journal of Korean Society of Environmental Engineers 37, no. 6 (June 30, 2015): 363–70. http://dx.doi.org/10.4491/ksee.2015.37.6.363.

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47

Dauzere-Peres, Stephane, and Jean-Bernard Lasserre. "On the importance of sequencing decisions in production planning and scheduling." International Transactions in Operational Research 9, no. 6 (November 2002): 779–93. http://dx.doi.org/10.1111/1475-3995.00388.

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48

O'Brien, Kate M., Michael S. Chimenti, Morgan Farnell, Tom Tabler, Thomas Bair, Joey L. Bray, and Matthew W. Nonnenmann. "High throughput genomic sequencing of bioaerosols in broiler chicken production facilities." Microbial Biotechnology 9, no. 6 (July 28, 2016): 782–91. http://dx.doi.org/10.1111/1751-7915.12380.

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49

Kumral, Mustafa, and Yuksel Asli Sari. "An application of possibilistic programming to production sequencing of mining parcels." International Journal of Management Science and Engineering Management 12, no. 2 (April 14, 2016): 79–88. http://dx.doi.org/10.1080/17509653.2016.1159147.

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50

Sari, R. M., A. R. Matondang, K. Syahputri, Anizar, I. Siregar, I. Rizkya, and C. Ursula. "Sequencing of Dust Filter Production Process Using Design Structure Matrix (DSM)." IOP Conference Series: Materials Science and Engineering 288 (January 2018): 012124. http://dx.doi.org/10.1088/1757-899x/288/1/012124.

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Journal articles on the topic 'Sequencing of the production'

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