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Journal articles on the topic 'Two-sided assembly line'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Hu, Xiaofeng, and Chunaxun Wu. "Workload smoothing in two-sided assembly lines." Assembly Automation 38, no. 1 (February 5, 2018): 51–56. http://dx.doi.org/10.1108/aa-09-2016-112.

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Purpose The purpose of this paper is to define new criteria for measuring workload smoothness of two-sided assembly lines and propose an algorithm to solve a two-sided assembly line balancing problem focusing on distributing the idle time and the workload as evenly as possible among the workstations. Design/methodology/approach This paper points out that the mean absolute deviation (MAD) and the smoothness index (SI) used to measure the workload smoothing in one-sided assembly lines are both inappropriate to evaluate the workload balance among workstations in two-sided assembly lines, as the idle time occur at the beginning and in the middle of a cycle within workstations. Then, the finish-time-based SI and MAD (FSI and FMAD) are defined, and a heuristic procedure based on the core mechanism of Moodie and Young method is proposed to smooth the assembly workload in two-sided assembly lines. Findings The computational results indicate that the proposed heuristic algorithm combined with the FMAD is effective in distributing the idle time and the workload among workstations as evenly as possible in two-sided assembly lines. Practical implications The two-sided assembly line balancing problem with the objective of the line efficiency can be effectively solved by the proposed approach. Originality/value The FMAD is proposed to effectively improve the workload smoothing in two-sided assembly lines.

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2

Jawahar, N., S. G. Ponnambalam, K. Sivakumar, and V. Thangadurai. "Heuristics for Multiobjective Optimization of Two-Sided Assembly Line Systems." Scientific World Journal 2014 (2014): 1–16. http://dx.doi.org/10.1155/2014/458959.

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Products such as cars, trucks, and heavy machinery are assembled by two-sided assembly line. Assembly line balancing has significant impacts on the performance and productivity of flow line manufacturing systems and is an active research area for several decades. This paper addresses the line balancing problem of a two-sided assembly line in which the tasks are to be assigned at L side or R side or any one side (addressed as E). Two objectives, minimum number of workstations and minimum unbalance time among workstations, have been considered for balancing the assembly line. There are two approaches to solve multiobjective optimization problem: first approach combines all the objectives into a single composite function or moves all but one objective to the constraint set; second approach determines the Pareto optimal solution set. This paper proposes two heuristics to evolve optimal Pareto front for the TALBP under consideration: Enumerative Heuristic Algorithm (EHA) to handle problems of small and medium size and Simulated Annealing Algorithm (SAA) for large-sized problems. The proposed approaches are illustrated with example problems and their performances are compared with a set of test problems.

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3

Ağpak, Kürşad, M. Fatih Yegül, and Hadi Gökçen. "Two-sided U-type assembly line balancing problem." International Journal of Production Research 50, no. 18 (September 15, 2012): 5035–47. http://dx.doi.org/10.1080/00207543.2011.631599.

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4

Kim, Yeo Keun, Yeongho Kim, and Yong Ju Kim. "Two-sided assembly line balancing: A genetic algorithm approach." Production Planning & Control 11, no. 1 (January 2000): 44–53. http://dx.doi.org/10.1080/095372800232478.

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5

Abdullah Make, Muhammad Razif, Mohd Fadzil Faisae Ab. Rashid, and Muhamad Magffierah Razali. "A review of two-sided assembly line balancing problem." International Journal of Advanced Manufacturing Technology 89, no. 5-8 (August 2, 2016): 1743–63. http://dx.doi.org/10.1007/s00170-016-9158-3.

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6

Yegul, Mustafa Fatih, Kursad Agpak, and Mustafa Yavuz. "A NEW ALGORITHM FOR U-SHAPED TWO-SIDED ASSEMBLY LINE BALANCING." Transactions of the Canadian Society for Mechanical Engineering 34, no. 2 (June 2010): 225–41. http://dx.doi.org/10.1139/tcsme-2010-0014.

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This study introduces a new hybrid design for a specific case of assembly lines, and proposes a multi-pass random assignment algorithm to find the minimum number of stations required. The algorithm also finds the sequence and the schedule of the tasks assigned. The new design is a combination of two-sided lines and U-shaped lines, which benefits from the advantages of both designs at the same time. One side of the line is arranged in U-shape allowing stations with crossovers, and the other side of the line is balanced like a traditional straight flow. Depending on product direction, either Left or Right side of the line can be designed in U-shape. Small and large-sized two-sided assembly line test-bed problems were solved using the algorithm. Optimal results are achieved for all small-sized problems. Due to the novelty of the design, results of largesized problems are compared to findings of studies on simple two-sided balancing. Algorithm produced better results in most of the cases.

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7

Grzechca, Waldemar. "Idle Times Analysis in Two-sided Assembly Line Balancing Problem." IFAC Proceedings Volumes 46, no. 9 (2013): 1720–25. http://dx.doi.org/10.3182/20130619-3-ru-3018.00520.

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8

Özcan, Uğur, and Bilal Toklu. "A tabu search algorithm for two-sided assembly line balancing." International Journal of Advanced Manufacturing Technology 43, no. 7-8 (September 23, 2008): 822–29. http://dx.doi.org/10.1007/s00170-008-1753-5.

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9

Sepahi, Abdollatif, and Seyed Gholamreza Jalali Naini. "Two-sided assembly line balancing problem with parallel performance capacity." Applied Mathematical Modelling 40, no. 13-14 (July 2016): 6280–92. http://dx.doi.org/10.1016/j.apm.2016.02.022.

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10

Khorasanian, Danial, Seyyed Reza Hejazi, and Ghasem Moslehi. "Two-sided assembly line balancing considering the relationships between tasks." Computers & Industrial Engineering 66, no. 4 (December 2013): 1096–105. http://dx.doi.org/10.1016/j.cie.2013.08.006.

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11

Zhang, Yahui, Xiaofeng Hu, and Chuanxun Wu. "Heuristic Algorithm for Type II Two-sided Assembly Line Rebalancing Problem with Multi-objective." MATEC Web of Conferences 175 (2018): 03063. http://dx.doi.org/10.1051/matecconf/201817503063.

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In practical production, the balance of the assembly lines is always destroyed by many factors, e.g., demand fluctuations, disruptions caused by workstation breakdowns or shutdowns, and changes of the work force. Therefore, this paper addresses the type II rebalancing problem for the two-sided assembly lines (TALRBP-II), which are widely utilized to assemble large-size high-volume products. As we all know that TALBP-II (two-sided assembly line balancing problem type-II) is NP-hard, TALRBP-II is its extension and much more complex. In order to solve this problem, a mathematical model with the objectives of minimizing cycle time and rebalancing cost is proposed. Constraint programming (CP) method is applied to optimize the model and a workstation-oriented heuristic algorithm is designed to solve the problem. An example is presented to illustrate the procedure of the proposed algorithm, and the best solution obtained verify the efficiency of the proposed algorithm.

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12

Ab. Rashid, Mohd Fadzil Faisae, Ahmad Nasser Mohd Rose, Nik Mohd Zuki Nik Mohamed, and Fadhlur Rahman Mohd Romlay. "Improved moth flame optimization algorithm to optimize cost-oriented two-sided assembly line balancing." Engineering Computations 37, no. 2 (August 9, 2019): 638–63. http://dx.doi.org/10.1108/ec-12-2018-0593.

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Purpose This paper aims to propose an improved Moth Flame Optimization (I-MFO) algorithm to optimize the cost-oriented two-sided assembly line balancing (2S-ALB). Prior to the decision to assemble a new product, the manufacturer will carefully study and optimize the related cost to set up and run the assembly line. For the first time in ALB, the power cost is modeled together with the equipment, set up and labor costs. Design/methodology/approach I-MFO was proposed by introducing a global reference flame mechanism to guide the global search direction. A set of benchmark problems was used to test the I-MFO performance. Apart from the benchmark problems, a case study from a body shop assembly was also presented. Findings The computational experiment indicated that the I-MFO obtained promising results compared to comparison algorithms, which included the particle swarm optimization, Cuckoo Search and ant colony optimization. Meanwhile, the results from the case study showed that the proposed cost-oriented 2S-ALB model was able to assist the manufacturer in making better decisions for different planning periods. Originality/value The main contribution of this work is the global reference flame mechanism for MFO algorithm. Furthermore, this research introduced a new cost-oriented model that considered power consumption in the assembly line design.

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13

Yadav, Ashish, Ramawatar Kulhary, Rupesh Nishad, and Sunil Agrawal. "Parallel two-sided assembly line balancing with tools and tasks sharing." Assembly Automation 40, no. 6 (November 27, 2019): 833–46. http://dx.doi.org/10.1108/aa-02-2018-025.

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Purpose Parallel two-sided assembly lines are usually designed to produce large-sized products such as trucks and buses. In parallel two-sided assembly lines, both left and right sides of the line are used for manufacturing one or more products on two or more assembly lines located parallel to each other. The purpose of this paper is to develop a new mathematical model for the parallel two-sided assembly line balancing problem that helps to evaluate and validate the balancing operations of the machines such as removal of tools and fixtures and reallocating the operators. Design/methodology/approach The proposed approach is explained with the help of an example problem. In all, 22 test problems are formed using the benchmark problems P9, P12, P16 and P24. The results obtained are compared among approaches of the task(s) shared, tool(s) shared and both tool(s) and task(s) shared for effect on efficiency as the performance measure. The solution presented here follows the exact solution procedure that is solved by Lingo 16 solver. Findings Based on the experiments, line efficiency decreases when only tools are shared and increases when only tasks are shared. Results indicate that by sharing tasks and tools together, better line efficiency is obtained with less cost of tools and fixtures. Practical implications According to the industrial aspect, the result of the study can be beneficial for assembly of the products, where tools and tasks are shared between parallel workstations of two or more parallel lines. Originality/value According to the author’s best knowledge, this paper is the first to address the tools and tasks sharing between any pair of parallel workstations.

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14

Li, Da Shuang, Chao Yong Zhang, Xin Yu Shao, and Zhan Peng Xie. "An Improved TLBO Algorithm for Balancing Stochastic Two-Sided Assembly Line." Applied Mechanics and Materials 610 (August 2014): 345–49. http://dx.doi.org/10.4028/www.scientific.net/amm.610.345.

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The stochastic two-sided assembly line is a special line in which workers perform assembly tasks in both sides of the line and the task time is not deterministic. In the improved teaching-learning-based optimization (ITLBO) algorithm, teacher and learner phases are modified for the discrete problem, a novel merging method is proposed to construct the new evolutionary population and Late Acceptance Hill-Climbing (LAHC) is integrated into the self-learning phase to obtain high quality solutions. The experimental results validate the effectiveness of the proposed algorithm.

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15

Wu, Yi, Qiu Hua Tang, Li Ping Zhang, Zi Xiang Li, and Xiao Jun Cao. "Solving Two–Sided Assembly Line Balancing Problem via Gravitational Search Algorithm." Applied Mechanics and Materials 697 (November 2014): 450–55. http://dx.doi.org/10.4028/www.scientific.net/amm.697.450.

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Two-sided assembly lines are widely applied in plants for producing large-sized high volume products, such as trucks and buses. Since the two-sided assembly line balancing problem (TALBP) is NP-hard, it is difficult to get an optimal solution in polynomial time. Therefore, a novel swarm based heuristic algorithm named gravitational search algorithm (GSA) is proposed to solve this problem with the objective of minimizing the number of mated-stations and the number of stations simultaneously. In order to apply GSA to solving the TALBP, an encoding scheme based on the random-keys method is used to convert the continuous positions of the GSA into the discrete task sequence. In addition, a new decoding scheme is implemented to decrease the idle time related to sequence-dependent finish time of tasks. The corresponding experiment results demonstrate that the proposed algorithm outperforms other well-known algorithms.

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16

Lee, Tae Ok, Yeongho Kim, and Yeo Keun Kim. "Two-sided assembly line balancing to maximize work relatedness and slackness." Computers & Industrial Engineering 40, no. 3 (July 2001): 273–92. http://dx.doi.org/10.1016/s0360-8352(01)00029-8.

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17

Make, Muhammad Razif Abdullah, Mohd Fadzil Faisae Rashid, and Muhamad Magffierah Razali. "Modelling of Two-sided Assembly Line Balancing Problem with Resource Constraints." IOP Conference Series: Materials Science and Engineering 160 (November 2016): 012005. http://dx.doi.org/10.1088/1757-899x/160/1/012005.

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18

Wirawan, A. D., and A. Maruf. "Meta-heuristic algorithm to solve two-sided assembly line balancing problems." IOP Conference Series: Materials Science and Engineering 114 (February 2016): 012057. http://dx.doi.org/10.1088/1757-899x/114/1/012057.

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19

Li, Yuchen, and David Coit. "Priority rules-based algorithmic design on two-sided assembly line balancing." Production Engineering 12, no. 1 (December 27, 2017): 95–108. http://dx.doi.org/10.1007/s11740-017-0786-8.

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20

Baykasoglu, Adil, and Türkay Dereli. "Two-sided assembly line balancing using an ant-colony-based heuristic." International Journal of Advanced Manufacturing Technology 36, no. 5-6 (November 25, 2006): 582–88. http://dx.doi.org/10.1007/s00170-006-0861-3.

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21

Wu, Er-Fei, Ye Jin, Jin-Song Bao, and Xiao-Feng Hu. "A branch-and-bound algorithm for two-sided assembly line balancing." International Journal of Advanced Manufacturing Technology 39, no. 9-10 (November 22, 2007): 1009–15. http://dx.doi.org/10.1007/s00170-007-1286-3.

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22

Tuncel, Gonca, and Dilek Aydin. "Two-sided assembly line balancing using teaching–learning based optimization algorithm." Computers & Industrial Engineering 74 (August 2014): 291–99. http://dx.doi.org/10.1016/j.cie.2014.06.006.

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23

Taha, Raghda B., Amin K. El-Kharbotly, Yomna M. Sadek, and Nahid H. Afia. "A Genetic Algorithm for solving two-sided assembly line balancing problems." Ain Shams Engineering Journal 2, no. 3-4 (September 2011): 227–40. http://dx.doi.org/10.1016/j.asej.2011.10.003.

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24

Hu, Xiaofeng, Erfei Wu, and Ye Jin. "A station-oriented enumerative algorithm for two-sided assembly line balancing." European Journal of Operational Research 186, no. 1 (April 2008): 435–40. http://dx.doi.org/10.1016/j.ejor.2007.01.022.

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25

Rachmawaty, Dina, Putu Dana Karningsih, and Budi Santosa. "Two-Sided assembly line balancing to minimize number of workstation with considering the relationships between tasks." MATEC Web of Conferences 204 (2018): 02015. http://dx.doi.org/10.1051/matecconf/201820402015.

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There are many problems in assembly line. Some of the problems are assembly line reliability which relates to maintenance and unbalance workload. As a result, production line is not efficient and production plan is not fulfilled. Previous research on two-sided assembly line balancing problem has proprosed improvement method by considering index relationship between tasks. There are only two factors that is taken into account in this research, they are: distance factor of the implementation of the task (distance factor) and tools used to perform the task (tool factor). Therefore, this paper aims to develops conceptual model by considering additional factors that affecting Assembly Line Tasks Consistency (ATC). The additional factors that are considered are as follow: distance factor, tool factor, motion factor, layout factor, and skill factor. The purpose of this conceptual model is to increase productivity by minimizing number of workstations. Linear combination are used to find a combination solution of a relationship between task to complete a two-sided assembly line balancing problem. Improvement of proposed assembly line are measured according to Balance Delay (BD) and Line Efficiency (LE).

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26

Delice, Yilmaz. "A genetic algorithm approach for balancing two-sided assembly lines with setups." Assembly Automation 39, no. 5 (November 4, 2019): 827–39. http://dx.doi.org/10.1108/aa-11-2018-0192.

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Purpose This paper aims to discuss the sequence-dependent forward setup time (FST) and backward setup time (BST) consideration for the first time in two-sided assembly lines. Sequence-dependent FST and BST values must be considered to compute all of the operational times of each station. Thus, more realistic results can be obtained for real-life situations with this new two-sided assembly line balancing (ALB) problem with setups consideration. The goal is to obtain the most suitable solution with the least number of mated stations and total stations. Design/methodology/approach The complex structure it possesses has led to the use of certain assumptions in most of the studies in the ALB literature. In many of them, setup times have been neglected or considered superficially. In the real-life assembly process, potential setup configurations may exist between each successive task and between each successive cycle. When two tasks are in the same cycle, the setup time required (forward setup) may be different from the setup time required if the same two tasks are in consecutive cycles (backward setup). Findings Algorithm steps have been studied in detail on a sample solution. Using the proposed algorithm, the literature test problems are solved and the algorithm efficiency is revealed. The results of the experiments revealed that the proposed approach finds promising results. Originality/value The sequence-dependent FST and BST consideration is applied in a two-sided assembly line approach for the first time. A genetic algorithm (GA)-based algorithm with ten different heuristic rules was used in this proposed model.

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27

Gao, Yan, Tian Xiang Chang, Yang Yang Wang, Yao Liu, Hong Yan Quan, and Jian Zhong Xu. "An Improved Two-Sided Assembly Line Balancing Algorithm Based on Heuristic Rules." Applied Mechanics and Materials 404 (September 2013): 758–63. http://dx.doi.org/10.4028/www.scientific.net/amm.404.758.

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According to Assemble line balancing (ALB) problem which is widespread in manufacture, we establish a mathematical model and present our improved algorithm that is based on Heuristic rules, which adopt cumulative ranked positional weight as a basis of task assignments and schedule the orders of branches traversal. After that we can find an optimal solution to the balancing problem efficiently. The result of examples given by this paper shows our algorithm has a good performance.

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28

Roshani, Abdolreza, Parviz Fattahi, Abdolhassan Roshani, Mohsen Salehi, and Arezoo Roshani. "Cost-oriented two-sided assembly line balancing problem: A simulated annealing approach." International Journal of Computer Integrated Manufacturing 25, no. 8 (August 2012): 689–715. http://dx.doi.org/10.1080/0951192x.2012.664786.

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29

Ağpak, Kürşad, and Saeed Zolfaghari. "Mathematical models for parallel two-sided assembly line balancing problems and extensions." International Journal of Production Research 53, no. 4 (September 18, 2014): 1242–54. http://dx.doi.org/10.1080/00207543.2014.955218.

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30

Delice, Yılmaz, Emel Kızılkaya Aydoğan, and Uğur Özcan. "Stochastic two-sided U-type assembly line balancing: a genetic algorithm approach." International Journal of Production Research 54, no. 11 (February 2, 2016): 3429–51. http://dx.doi.org/10.1080/00207543.2016.1140918.

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31

Gansterer, Margaretha, and Richard F. Hartl. "One- and two-sided assembly line balancing problems with real-world constraints." International Journal of Production Research 56, no. 8 (October 31, 2017): 3025–42. http://dx.doi.org/10.1080/00207543.2017.1394599.

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32

Li, Zixiang, Nilanjan Dey, Amira S. Ashour, and Qiuhua Tang. "Discrete cuckoo search algorithms for two-sided robotic assembly line balancing problem." Neural Computing and Applications 30, no. 9 (January 20, 2017): 2685–96. http://dx.doi.org/10.1007/s00521-017-2855-5.

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33

Yadav, Ashish, Pawan Verma, and Sunil Agrawal. "Mixed model two sided assembly line balancing problem: an exact solution approach." International Journal of System Assurance Engineering and Management 11, S2 (February 24, 2020): 335–48. http://dx.doi.org/10.1007/s13198-020-00956-1.

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34

Li, Zixiang, Ibrahim Kucukkoc, and Zikai Zhang. "Branch, bound and remember algorithm for two-sided assembly line balancing problem." European Journal of Operational Research 284, no. 3 (August 2020): 896–905. http://dx.doi.org/10.1016/j.ejor.2020.01.032.

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35

Yang, Zhaoyang, Guojun Zhang, and Haiping Zhu. "Multi-neighborhood based path relinking for two-sided assembly line balancing problem." Journal of Combinatorial Optimization 32, no. 2 (September 23, 2015): 396–415. http://dx.doi.org/10.1007/s10878-015-9959-6.

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36

Özbakır, Lale, and Pınar Tapkan. "Bee colony intelligence in zone constrained two-sided assembly line balancing problem." Expert Systems with Applications 38, no. 9 (September 2011): 11947–57. http://dx.doi.org/10.1016/j.eswa.2011.03.089.

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37

Jie, Zheng Mei, Kai Hu Hou, and Yu Jie Zheng. "Application of AMGA in the Mixed Model Two-Sided Assembly Line Type I Balancing Problem." Applied Mechanics and Materials 635-637 (September 2014): 1916–20. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1916.

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This paper searches mixed model two-sided assembly line type I balancing problem based on Y automobile manufacturing company. According to the characteristics and balance constraints of mixed model two-sided assembly line, the actual problem is abstracted as the mathematical model. The three minimal objectives are the station number, the balance index and the wait time. In this study, an advanced multi-objective genetic algorithm is proposed for analyzing and solving the satisfactory solution set of multi-objective optimization problem and example application shows its validity.

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38

Mohd Azmi, Nur Intan Liyana, Zaitul Marlizawati Zainuddin, Zaitul Marlizawati Zainuddin, Rashidah Ahmad, and Rashidah Ahmad. "MILP model for integrated line balancing and model sequencing problems for Mixed-Model Two-Sided Assembly Line." Malaysian Journal of Fundamental and Applied Sciences 13, no. 4-1 (December 5, 2017): 367–71. http://dx.doi.org/10.11113/mjfas.v13n4-1.893.

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This research explores two interrelated problems in Mixed-Model Two-Sided Assembly Line (MMTSAL), which are line balancing and model sequencing. These two problems are solved simultaneously using Mixed Integer Linear Programming (MILP) with the objectives of minimizing total utility work and idle time by considering various practical constraints. The problem is analyzed using small-size to large-sized test cases using General Algebraic Modelling System (GAMS) with the solver CPLEX. Experimental results indicate that integrating the problems help to minimize the proposed objective function. Also, it is found that the feasible solution for model sequence with the assignment of tasks to assembly line is optimal.

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39

Chutima, Parames, and Watcharawit Tanontong. "Two-sided assembly line car sequencing with a fuzzy adaptive extended coincidence algorithm." International Journal of Industrial and Systems Engineering 32, no. 1 (2019): 71. http://dx.doi.org/10.1504/ijise.2019.099777.

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Chutima, Parames, and Watcharawit Tanontong. "Two-sided assembly line car sequencing with a fuzzy adaptive extended coincidence algorithm." International Journal of Industrial and Systems Engineering 32, no. 1 (2019): 71. http://dx.doi.org/10.1504/ijise.2019.10021310.

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41

Chutima, Parames, and Karn Jitmetta. "Adaptive biogeography-based optimisation for two-sided mixed-model assembly line sequencing problems." International Journal of Operational Research 16, no. 4 (2013): 390. http://dx.doi.org/10.1504/ijor.2013.052712.

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42

Kim, Yeo Keun, Won Seop Song, and Jun Hyuk Kim. "A mathematical model and a genetic algorithm for two-sided assembly line balancing." Computers & Operations Research 36, no. 3 (March 2009): 853–65. http://dx.doi.org/10.1016/j.cor.2007.11.003.

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43

Tapkan, Pinar, Lale Ozbakir, and Adil Baykasoglu. "Modeling and solving constrained two-sided assembly line balancing problem via bee algorithms." Applied Soft Computing 12, no. 11 (November 2012): 3343–55. http://dx.doi.org/10.1016/j.asoc.2012.06.003.

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44

Tapkan, Pınar, Lale Özbakır, and Adil Baykasoğlu. "Bee algorithms for parallel two-sided assembly line balancing problem with walking times." Applied Soft Computing 39 (February 2016): 275–91. http://dx.doi.org/10.1016/j.asoc.2015.11.017.

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45

Aghajani, Mojtaba, Reza Ghodsi, and Babak Javadi. "Balancing of robotic mixed-model two-sided assembly line with robot setup times." International Journal of Advanced Manufacturing Technology 74, no. 5-8 (June 18, 2014): 1005–16. http://dx.doi.org/10.1007/s00170-014-5945-x.

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46

Tapkan, Pınar, Lale Özbakır, and Adil Baykasoğlu. "Bees Algorithm for constrained fuzzy multi-objective two-sided assembly line balancing problem." Optimization Letters 6, no. 6 (June 7, 2011): 1039–49. http://dx.doi.org/10.1007/s11590-011-0344-9.

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47

Xiaofeng, Hu, Wu Erfei, Bao Jinsong, and Jin Ye. "A branch-and-bound algorithm to minimize the line length of a two-sided assembly line." European Journal of Operational Research 206, no. 3 (November 2010): 703–7. http://dx.doi.org/10.1016/j.ejor.2010.02.034.

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48

Li, Zixiang, Mukund Nilakantan Janardhanan, Qiuhua Tang, and S. G. Ponnambalam. "Model and metaheuristics for robotic two-sided assembly line balancing problems with setup times." Swarm and Evolutionary Computation 50 (November 2019): 100567. http://dx.doi.org/10.1016/j.swevo.2019.100567.

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49

Yang, M. S., L. Ba, Y. Liu, H. Y. Zheng, J. T. Yan, X. Q. Gao, and J. M. Xiao. "An Improved Genetic Simulated Annealing Algorithm for Stochastic Two-Sided Assembly Line Balancing Problem." International Journal of Simulation Modelling 18, no. 1 (March 15, 2019): 175–86. http://dx.doi.org/10.2507/ijsimm18(1)co4.

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Li, Zixiang, Mukund Nilakantan Janardhanan, Qiuhua Tang, and Peter Nielsen. "Co-evolutionary particle swarm optimization algorithm for two-sided robotic assembly line balancing problem." Advances in Mechanical Engineering 8, no. 9 (September 2016): 168781401666790. http://dx.doi.org/10.1177/1687814016667907.

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