Academic literature on the topic 'Assembly-line balancing. Assembly-line balancing Just-in-time systems. Production management'

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Journal articles on the topic "Assembly-line balancing. Assembly-line balancing Just-in-time systems. Production management"

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Makssoud, Fatme, Olga Battaïa, Alexandre Dolgui, Khumbulani Mpofu, and Olayinka Olabanji. "Re-balancing problem for assembly lines: new mathematical model and exact solution method." Assembly Automation 35, no. 1 (2015): 16–21. http://dx.doi.org/10.1108/aa-07-2014-061.

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Purpose – The purpose of this study is to develop a new mathematical model and an exact solution method for an assembly line rebalancing problem. When an existing assembly line has to be adapted to a new production context, the line balancing, resources allocation and component management solutions have to be revised. The objective is to minimize the number of modifications to be done in the initial line in order to reduce the time and investment needed to meet new production requirements. The proposed model is evaluated via a computational experiment. The obtained results the efficacy of the
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Pinarbasi, Mehmet, Hacı Mehmet Alakas, and Mustafa Yuzukirmizi. "A constraint programming approach to type-2 assembly line balancing problem with assignment restrictions." Assembly Automation 39, no. 5 (2019): 813–26. http://dx.doi.org/10.1108/aa-12-2018-0262.

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Purpose Main constraints for an assembly line balancing problem (ALBP) are cycle time/number of stations and task precedence relations. However, due to the technological and organizational limitations, several other restrictions can be encountered in real production systems. These restrictions are called as assignment restrictions and can be task assignment, station, resource and distance limitations. The purpose of the study is to evaluate the effects of these restrictions on ALBP using constraint programming (CP) model. Design/methodology/approach A novel CP model is proposed and compared to
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Nejad, Mazyar Ghadiri, and Ali Husseinzadeh Kashan. "An Effective Grouping Evolution Strategy Algorithm Enhanced with Heuristic Methods for Assembly Line Balancing Problem." Journal of Advanced Manufacturing Systems 18, no. 03 (2019): 487–509. http://dx.doi.org/10.1142/s0219686719500264.

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Assembly line balancing problem (ALBP) is an allocation of given tasks to the workstations in a way that the number of workstations or the idle times of workstations get minimized. ALBP is a well-known problem in mass-production systems with high production volume and low diversity. In division and grouping allocation problems like ALBP, metaheuristic algorithms based on group structure, i.e. grouping genetic algorithm, are more efficient. The aim of this study is developing a new solution procedure to minimize the number of workstations for a given cycle time based on grouping evolution strat
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Saptari, Adi, Jia Xin Leau, and M. Nor Akramin. "Optimizing Assembly Line Production through Line Balancing: A Case Study." Applied Mechanics and Materials 761 (May 2015): 104–8. http://dx.doi.org/10.4028/www.scientific.net/amm.761.104.

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In Line Balancing principles, the total workload in the assembly process is divided as evenly as possible among the workstations, without violating the sequences and relations in the assembly operations. Line balancing is important in an assembly system as it balances the line and increases the efficiency, as well as the productivity of a system. A case study was conducted in the assembly line of an electrical accessories manufacturer in Malaysia. The cycle time for each station was recorded, and the standard cycle time was estimated. The productivity, as well as the efficiency of the current
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Lerttira, Areeda, and Prasad K. D. V. Yarlagadda. "Assembly Line Balancing the Comparison of COMSOAL and MSNSH Technique in Motorcycle Manufacturing Company." Advanced Materials Research 605-607 (December 2012): 166–74. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.166.

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Today’s highly competitive market influences the manufacturing industry to improve their production systems to become the optimal system in the shortest cycle time as possible. One of most common problems in manufacturing systems is the assembly line balancing problem. The assembly line balancing problem involves task assignments to workstations with optimum line efficiency The most common purposes of Computer Method for Sequencing Operations for Assembly Line (COMSOAL) are to minimise idle time, optimise production line efficiency, and minimise the number of workstations. Therefore, this pape
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Shin, Dooyoung, and Hokey Min. "Uniform Assembly Line Balancing with Stochastic Task Times in Just‐in‐time Manufacturing." International Journal of Operations & Production Management 11, no. 8 (1991): 23–34. http://dx.doi.org/10.1108/eum0000000001278.

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Edokpia, Ralph O., and F. U. Owu. "Assembly Line Re-Balancing Using Ranked Positional Weight Technique and Longest Operating Time Technique: A Comparative Analysis." Advanced Materials Research 824 (September 2013): 568–78. http://dx.doi.org/10.4028/www.scientific.net/amr.824.568.

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Assembly line balancing is an attractive means of mass manufacturing and large-scale serial production systems. Traditionally, assembly lines are arranged in straight single-model lines and the problem is known as Simple Assembly Line balancing problem (SALBP). In this study, two heuristic assembly line balancing techniques known as the Ranked Positional Weight Technique, and the longest operational time technique, were applied to solve the problem of single-model line balancing problem in an assembling company with the aim of comparing the efficiencies of the application of the two algorithms
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Fathi, Masood, Amir Nourmohammadi, Morteza Ghobakhloo, and Milad Yousefi. "Production Sustainability via Supermarket Location Optimization in Assembly Lines." Sustainability 12, no. 11 (2020): 4728. http://dx.doi.org/10.3390/su12114728.

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Manufacturers worldwide are nowadays in pursuit of sustainability. In the Industry 4.0 era, it is a common practice to implement decentralized logistics areas, known as supermarkets, to achieve production sustainability via Just-in-Time material delivery at assembly lines. In this environment, manufacturers are commonly struggling with the Supermarket Location Problem (SLP), striving to efficiently decide on the number and location of supermarkets to minimize the logistics cost. To address this prevalent issue, this paper proposed a Simulated Annealing (SA) algorithm for minimizing the superma
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Serin, Faruk, Süleyman Mete, and Erkan Çelik. "An efficient algorithm for U-type assembly line re-balancing problem with stochastic task times." Assembly Automation 39, no. 4 (2019): 581–95. http://dx.doi.org/10.1108/aa-07-2018-106.

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Purpose Changing the product characteristics and demand quantity resulting from the variability of the modern market leads to re-assigned tasks and changing the cycle time on the production line. Therefore, companies need re-balancing of their assembly line instead of balancing. The purpose of this paper is to propose an efficient algorithm approach for U-type assembly line re-balancing problem using stochastic task times. Design/methodology/approach In this paper, a genetic algorithm is proposed to solve approach for U-type assembly line re-balancing problem using stochastic task times. Findi
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Rahman, Humyun Fuad, Mukund Nilakantan Janardhanan, and Peter Nielsen. "An integrated approach for line balancing and AGV scheduling towards smart assembly systems." Assembly Automation 40, no. 2 (2020): 219–34. http://dx.doi.org/10.1108/aa-03-2019-0057.

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Purpose Optimizing material handling within the factory is one of the key problems of modern assembly line systems. The purpose of this paper is to focus on simultaneously balancing a robotic assembly line and the scheduling of material handling required for the operation of such a system, a topic that has received limited attention in academia. Manufacturing industries focus on full autonomy because of the rapid advancements in different elements of Industry 4.0 such as the internet of things, big data and cloud computing. In smart assembly systems, this autonomy aims at the integration of au
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Dissertations / Theses on the topic "Assembly-line balancing. Assembly-line balancing Just-in-time systems. Production management"

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Sparling, David Hamilton. "Topics in U-line balancing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0020/NQ30170.pdf.

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Chen, Sihua. "Just-in-time U-shaped assembly line balancing /." Diss., 2003. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3086936.

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Book chapters on the topic "Assembly-line balancing. Assembly-line balancing Just-in-time systems. Production management"

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Katiraee, Niloofar, Serena Finco, Olga Battaïa, and Daria Battini. "Assembly Line Balancing with Inexperienced and Trainer Workers." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85902-2_53.

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Kim, Dongwook, Jinwoo Park, and Ilkyeong Moon. "Integrated Mixed-Model Assembly Line Balancing with Unskilled Temporary Workers." In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22759-7_38.

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Yang, Hyungjoon, Je-Hun Lee, and Hyun-Jung Kim. "Assembly Line Worker Assignment and Balancing Problem with Positional Constraints." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85914-5_1.

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Conference papers on the topic "Assembly-line balancing. Assembly-line balancing Just-in-time systems. Production management"

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Chica, Manuel, Oscar Cordon, Sergio Damas, and Joaquin Bautista. "A multiobjective memetic ant colony optimization algorithm for the 1/3 variant of the time and space assembly line balancing problem." In 2011 Ieee Workshop On Computational Intelligence In Production And Logistics Systems - Part Of 17273 - 2011 Ssci. IEEE, 2011. http://dx.doi.org/10.1109/cipls.2011.5953354.

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