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Bibliografias temáticas / Mixed-model assembly line balancing

Literatura científica selecionada sobre o tema "Mixed-model assembly line balancing"

Autor: Grafiati

Publicado: 23 de junho de 2021

Última modificação: 6 de fevereiro de 2022

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Artigos de revistas sobre o assunto "Mixed-model assembly line balancing":

1

Xu, Weida, e Tianyuan Xiao. "Robust balancing of mixed model assembly line". COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 28, n.º 6 (13 de novembro de 2009): 1489–502. http://dx.doi.org/10.1108/03321640910992038.

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2

Zheng, Yu Jie, Kai Hu Hou, Jin Yuan Zhong e Wei Zhen Liao. "Research on Uncertainties Influenced the Mixed-Model Assembly Line Balancing". Advanced Materials Research 753-755 (agosto de 2013): 1943–47. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1943.

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For a large number of uncertainties such as suppliers, customer demand and different external uncertainties, as well as workers, machines, environment and other internal uncertainties, they affects the mixed-model assembly line balancing. And these uncertainties can be turned into the changes of demand, operation time and workstation availability, which are relevant to mixed-model assembly line balancing. By solving the three factors influence on the balancing, these uncertainties influence is processed. This paper provides a way to process uncertainties influence on the mixed-model assembly line balancing.

3

Tavakoli, Neda Beitollahi, e Parviz Fattahi. "Sequencing Mixed-Model Assembly Line under a JIT-Approach‌". Applied Mechanics and Materials 110-116 (outubro de 2011): 4324–29. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.4324.

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Mixed-model assembly line is known to be a special case of production lines where various and different models of the same products are inter-mixed to be assembled on the same line. Using mixed model assembly line involves not only the traditional problems of assembly line design (i.e., determining the line cycle time, the number and sequence of stations of the line, and balancing the line) but also determining the sequence in which products will be scheduled for assembly. In each station, some components are assembled in the final products. Under just in time (JIT) approach; an objective is to have a fairly constant usage rate for each component going into final assembly to facilitate the use of Kanban or other JIT shop-floor systems. In this paper, a mixed approach, the sequencing mixed-model assembly line problem with a JIT-supply of required materials, ‌is studied and a mathematical model is proposed for solving it. The results are compared with a traditional approach. Some experiments are used to evaluate the performance of the proposed model.

4

Dziki, K., e D. Krenczyk. "Mixed-model assembly line balancing problem with tasks assignment". IOP Conference Series: Materials Science and Engineering 591 (14 de agosto de 2019): 012013. http://dx.doi.org/10.1088/1757-899x/591/1/012013.

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5

KURASHIGE, Kenji, Shigeji MIYAZAKI e Yoshimasa KAMEYAMA. "A Study on Mixed-Model Assembly Line Balancing Problem." Journal of the Japan Society for Precision Engineering 66, n.º 3 (2000): 393–98. http://dx.doi.org/10.2493/jjspe.66.393.

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6

Kamal Uddin, Mohammad, Marian Cavia Soto e Jose L. Martinez Lastra. "An integrated approach to mixed‐model assembly line balancing and sequencing". Assembly Automation 30, n.º 2 (20 de abril de 2010): 164–72. http://dx.doi.org/10.1108/01445151011029808.

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PurposeDesign, balancing, and sequencing are the key issues associated with assembly lines (ALs). The purpose of this paper is to identify AL design issues and to develop an integrated methodology for mixed‐model assembly line balancing (MMALB) and sequencing. Primarily, mixed‐model lines are utilized for high‐variety, low‐volume job shop or batch production. Variation of a generic product is important for the manufacturers as the demand is mostly customer driven in the present global market.Design/methodology/approachDifferent AL design norms, performance indexes, and AL workstation indexes have been identified in the initial stage of this work. As the paper progresses, it has focused towards an integrated approach for MMALB and sequencing addressed for small‐ and medium‐scale assembly plants. A small‐scale practical problem has been justified with this integrated methodology implemented by MATLAB.FindingsALs execution in the production floor require many important factors to be considered. Different line orientations, production approaches, line characteristics, performance and workstation indexes, problem definitions, balancing and product sequencing in accordance with the objective functions are needed to be taken into account by the line designer.Originality/valueThis paper has highlighted the important AL design characteristics and also provided an integrated approach for balancing mixed‐model assembly lines (MMALs) combined with sequencing heuristic. The findings of this paper can be helpful for the designers while designing an AL. The integrated approach for balancing and sequencing of MMALs can be used as a functional tool for assembly‐based contemporary industries.

7

Wu, Y. M., L. ZH Dai e L. F. Luo. "Evolution Balancing of Mixed Model-Assembly Line Considering Task Reassignment". Journal of Advanced Manufacturing Systems 17, n.º 01 (março de 2018): 3–21. http://dx.doi.org/10.1142/s0219686718500014.

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Market demand and technological progress drive continuous product evolution, upgrade and innovation, which necessitate readjustment and evolution balancing of the mixed model assembly line (MMAL) for improving production efficiency. In the evolution process of MMAL, the rational matching between difficulty of assembly tasks and operating level are mainly considered, the mathematical model of evolution balancing optimization for MMAL is established, and an improved particle swarm optimization algorithm (IPSO) based on leapfrog algorithm is designed. In the process of optimization, the single population is divided into several subgroups for searching, information exchange between species is executed to get better particles and the strategy of returning to the beginning is introduced, in which particle diversity and global search capability are increased and improved, respectively. Finally, the effectiveness and feasibility of the method were validated by evolution balancing planning of MMAL.

8

Tang, Qiu Hua, e Yan Li Liang. "The Improved Genetic Algorithm for Balancing Mixed-Model Assembly Line". Applied Mechanics and Materials 127 (outubro de 2011): 603–8. http://dx.doi.org/10.4028/www.scientific.net/amm.127.603.

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Mixed-model assembly lines are become more and more important by producing different models of the same product on an assembly line. Aiming at the existing mixed-model assembly line balancing problem, first, two important objective functions for minimizing cycle time and workload variance were provided, and mathematical models were established. Furthermore, in order to obtain the optimal or near optimal solutions, an improved genetic algorithm was proposed with combined precedence graph. Finally, the experiment results illustrate the feasibility and validity of the proposed improved genetic algorithm.

9

Roshani, Abdolreza, e Farnaz Ghazi Nezami. "Mixed-model multi-manned assembly line balancing problem: a mathematical model and a simulated annealing approach". Assembly Automation 37, n.º 1 (6 de fevereiro de 2017): 34–50. http://dx.doi.org/10.1108/aa-02-2016-016.

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Purpose This paper aims to study a generalized type of mixed-model assembly line with multi-manned workstations where multiple workers simultaneously perform different tasks on the same product. This special kind of assembly line is usually utilized to assemble different models of large products, such as buses and trucks, on the same production line. Design/methodology/approach To solve the mixed-model multi-manned assembly line balancing problem optimally, a new mixed-integer-programming (MIP) model is presented. The proposed MIP model is nondeterministic polynomial-time (NP)-hard, and as a result, a simulated annealing (SA) algorithm is developed to find the optimal or near-optimal solution in a small amount of computation time. Findings The performance of the proposed algorithm is examined for several test problems in terms of solution quality and running time. The experimental results show that the proposed algorithm has a satisfactory performance from computational time efficiency and solution accuracy. Originality/value This research is the very first study that minimizes the number of workers and workstations simultaneously, with a higher priority set for the number of workers, in a mixed-model multi-manned assembly line setting using a novel MIP model and an SA algorithm.

10

Sivasankaran, Panneerselvam, e Peer Mohamed Shahabudeen. "Heuristics for Mixed Model Assembly Line Balancing Problem with Sequencing". Intelligent Information Management 08, n.º 03 (2016): 41–65. http://dx.doi.org/10.4236/iim.2016.83005.

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Mais fontes

Teses / dissertações sobre o assunto "Mixed-model assembly line balancing":

1

Ucar, Emre. "Mixed-model Two-sided Assembly Line Balancing". Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12611688/index.pdf.

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In this study we focus on two-sided mixed-model assembly line balancing type-I problem. There is a production target for a fixed time horizon and the objective is to produce this amount with the minimum level of workforce. A mathematical model is developed to solve this problem in an optimal manner. For large scale problems, the mathematical model fails to give the optimal solution within reasonable computational times. Thus, a heuristic approach based on threshold accepting algorithm is presented. Both the mathematical model and the heuristic approach are executed to solve several example problems from the literature and a case study problem which is derived from the refrigerator production. Computational experiments are carried out using both approaches. It is observed that the heuristic procedure finds good solutions within very reasonable computational times.

2

Evans, Jonathan D. "Application of genetic algorithm to mixed-model assembly line balancing". Thesis, This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-12302008-063806/.

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3

Pantouvanos, John P. "A computerized methodology for balancing and sequencing mixed model stochastic assembly lines". Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-07212009-040309/.

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4

Al-Said, Dana. "Balansoptimering av monteringslina med mixade produkter : En fallstudie". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54683.

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This is a bachelor thesis which handles a balancing problem in a manual assembly line for mixed models. Many product variations that are assembled in an assembly line have different cycle times in each operation in the process. The products that are assembled in the line have also large variations in their lead times. This leads to large balancing losses leading to reduced productivity and efficiency. Many balancing losses occur due to the inefficient time that one of the products causes. Other balancing losses occur due to bottlenecks that occur in some operations. The purpose of this study is to investigate the balancing losses in a manual assembly line with mixed models. The goal is to develop a proposal for a balanced layout, as well as to minimize balancing losses and waste and maximize productivity as much as possible. Two research questions have been developed as guidelines for the study: RQ1: What factors can lead to balancing losses in a mixed-model assembly line? RQ2: How can a mixed-model assembly line be balanced without leading to other types of losses? The study is a case study that looks for problems in one case company. It is based on a literature study and the collection of real-world data, which has been collected at the case company by observations, interviews and documents that include data about production times and balancing reports. A proposal on how balancing losses can be reduced in the best possible way has been developed. The inefficient time has been reduced and the assembly line has become more efficient and productive. With help of this improvement proposal, other types of losses could be avoided, such as losses of human resources and financial resources. This study aimed to reduce the balancing losses that one product causes in the assembly line. No rebalancing of the other products was done, but other products were considered so that the balancing of the product does not lead to extra imbalance on the other products in the line. It was important for the fall company to be able to implement a solution that does not lead to a lot of other losses. Based on the three solutions proposed, this solution was the most suitable for what the company wants. A new layout for the product’s stations has been proposed. With this layout, efficiency will increase, and downtime will decrease, thus increasing productivity. Proposal three shows that it is possible to balance a mixed-model assembly line, by terminating a product and removing it earlier from the assembly line. Keywords: Line balancing, manual assembly, balancing loss, mixed products, mixed-model assembly
Det här är ett examensarbete på grundnivå, som behandlar ett balanseringsproblem i en manuell monteringslinje för mixade modeller. Det monteras många produktkonfigurationer som har olika cykeltider i varje station i processen. Produkterna som monteras i linan har även stora variationer i deras ledtider. Detta medför stora balanseringsförluster som leder till minskad produktivitet och effektivitet. Många balanseringsförluster uppstår på grund av den ineffektiva tiden som en av produkterna orsakar. Andra balanseringsförluster uppstår på grund av flaskhalsar som förekommer i vissa stationer. Syftet med denna studie är att undersöka balansringsförlusterna i en manuell monteringslinje med mixade modeller. Målet är att ta fram ett förslag på en balanserad layout, samt att minimera balanseringsförlusterna och slöseri och maximera produktiviteten så mycket som möjligt. Två forskningsfrågor har tagits fram som riktlinjer för studien: F1: Vilka faktorer kan leda till balanseringsförluster i en mixad-modellmonteringslinje? F2: Hur kan en mixad-modellmonteringslina balanseras utan att leda till andra typer av förluster? Studien är en fallstudie som undersöker problem hos ett fallföretag. Studien är baserad på en initial litteraturstudie och insamlad data, som har samlats in från fallföretaget via observationer, intervjuer samt dokument med data om produktionstider och balansrapporter. Ett förslag på hur balanseringsförlusterna kan minskas på bästa möjliga sätt har tagits fram. Den ineffektiva tiden har minskats och monteringslinan har blivit effektivare och produktivare. Med hjälp av det här förbättringsförslaget, kunde andra typer av förluster undvikas, som exempelvis förluster av mänskliga resurser och ekonomiska resurser. Denna studie är gjord för att minska balanseringsförlusterna som en av produkterna orsakar i monteringslinjen. Ingen ombalansering på de andra produkterna gjordes, men det togs hänsyn till andra produkter så att balanseringen av den produkten inte leder till extra obalans på de andra produkter i linan. Det var viktigt för fallföretaget att kunna implementera en lösning som inte leder till massa andra förluster. Utifrån de tre lösningarna som föreslagits var denna lösning den mest lämplig för vad företaget önskar sig. En ny layout på produktens stationer har tagits fram. Med denna layout kommer effektiviteten att öka och dötiden minska, och därmed ökas produktiviteten. Förslag tre visar sig att det är möjligt att kunna balansera en mixad-modellmonteringslina, genom att avsluta en produkt och ta ut den tidigare ur monteringslinan. Nyckelord: Line balancing, manuell montering, balanseringsförluster, mixed products, mixed-model assembly line.

5

Edwards, Sherry L. "The application of simulated annealing to the mixed model, deterministic assembly line balancing problem". Thesis, Virginia Tech, 1993. http://hdl.handle.net/10919/42749.

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With the trend towards greater product customization and shorter delivery time, the use of mixed model assembly lines is increasing. A line balancing approach is needed that can address the complex nature of the mixed model line and produce near optimal solutions to problems of realistic size. Due to the combinatorial nature of the line balancing problem, exact solution techniques are limited to small problems. Heuristic methods, on the other hand, are often too simplistic to find good solutions. Furthermore, many of the existing techniques cannot be expanded to handle the mixed model problem.

Simulated Annealing (SA) is a search methodology which has exhibited good results when applied to combinatorial optimization problems. In fact, researchers have found that SA is able to find near-optimal solutions while its processing time increases only as a polynomial function of problem size. However, none of the applications found in the literature fully explore the technique's ability to handle a highly-constrained problem such as line balancing.

Master of Science

6

Kucukkoc, Ibrahim. "Modelling and solving mixed-model parallel two-sided assembly line problems". Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/18917.

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The global competitive environment and the growing demand for personalised products have increased the interest of companies in producing similar product models on the same assembly line. Companies are forced to make significant structural changes to rapidly respond to diversified demands and convert their existing single-model lines into mixed-model lines in order to avoid unnecessary new line construction cost for each new product model. Mixed-model assembly lines play a key role in increasing productivity without compromising quality for manufacturing enterprises. The literature is extensive on assembling small-sized products in an intermixed sequence and assembling large-sized products in large volumes on single-model lines. However, a mixed-model parallel two-sided line system, where two or more similar products or similar models of a large-sized product are assembled on each of the parallel two-sided lines in an intermixed sequence, has not been of interest to academia so far. Moreover, taking model sequencing problem into consideration on a mixed-model parallel two-sided line system is a novel research topic in this domain. Within this context, the problem of simultaneous balancing and sequencing of mixed-model parallel two-sided lines is defined and described using illustrative examples for the first time in the literature. The mathematical model of the problem is also developed to exhibit the main characteristics of the problem and to explore the logic underlying the algorithms developed. The benefits of utilising multi-line stations between two adjacent lines are discussed and numerical examples are provided. An agent-based ant colony optimisation algorithm (called ABACO) is developed to obtain a generic solution that conforms to any model sequence and it is enhanced step-by-step to increase the quality of the solutions obtained. Then, the algorithm is modified with the integration of a model sequencing procedure (where the modified version is called ABACO/S) to balance lines by tracking the product model changes on each workstation in a complex production environment where each of the parallel lines may a have different cycle time. Finally, a genetic algorithm based model sequencing mechanism is integrated to the algorithm to increase the robustness of the obtained solutions. Computational tests are performed using test cases to observe the performances of the developed algorithms. Statistical tests are conducted through obtained results and test results establish that balancing mixed-model parallel two-sided lines together has a significant effect on the sought performance measures (a weighted summation of line length and the number of workstations) in comparison with balancing those lines separately. Another important finding of the research is that considering model sequencing problem along with the line balancing problem helps algorithm find better line balances with better performance measures. The results also indicate that the developed ABACO and ABACO/S algorithms outperform other test heuristics commonly used in the literature in solving various line balancing problems; and integrating a genetic algorithm based model sequencing mechanism into ABACO/S helps the algorithm find better solutions with less amount of computational effort.

7

Dhanpal, Harinath Shravan, e Shakeel Siddique. "Identifying specific line balancing criteria for an efficient line balancing software : A case Study". Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Industriell organisation och produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-38911.

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For any business, surviving in a competitive market while maintaining all the operational performance indices up to mark is very crucial. There are several theories and techniques to improve the efficiency of the operational performances. Line balancing is one of those well practiced techniques used daily in most of the industries. Line balancing helps balance the assembly lines with regards to man, machine, takt times, etc. This thesis research was done with Electrolux laundry systems, Ljungby in Sweden. With the varying customer demands the case company was balancing its line manually using basic methods. As a part of lean development schemes, Electrolux Ljungby, wanted to transform the line balancing techniques from manual to a fully automated software. The purpose of this research is to determine the company-specific line balancing criteria which should be considered before performing line balancing. This research furthermore lays out a guideline to follow a smooth transition from the manual system of LB to an automated software by concluding the features the software must handle to perform the LB according to required objectives. A case study approach was utilized to collect all the required data to achieve the results. Using the data collection techniques such as interviews, observations and historical analysis we arrived at the data required to design the guidelines with regards to line balancing software features. The findings suggest that the desired line balancing constraints which are very important in the multi model single sided straight-line balancing problems are flow of materials, assembly precedence, physical constraints, product demand, bill of materials, restricted processes, man power and desired line balancing objectives. Keeping these constraints into consideration the features which are desired in an onlooking line balancing software are the Integration of data and documents/ maximum control, mixed model and option intelligence and analysis, multiple resources, smart variant management, scenario management, yamazumi chart, constraints and reporting tabs. The findings of this thesis can be used as guidelines by any manufacturing industry while they consider buying a new software which can handle Line balancing problems. This research is one of its kind which talks purely about the constraints and desired features only in a specific line balancing scenario. Practitioners can use this as a base for conducting further research on constraints and features pertaining to it, for different line balancing scenarios.

8

Erel, Erdal. "A methodology to solve single-model, stochastic assembly line balancing problem and its extensions". Diss., Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/82633.

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A methodology for the solution of single-model, stochastic assembly line balancing problem is developed for the objective of minimizing the total labor cost (dictated by the number of stations on the line) and expected incompletion cost arising from tasks not completed within the prespecified cycle time. The proposed procedure is an approximation procedure that divides the problem into subproblems. For each subproblem, an approximate solution is obtained using the dynamic programming procedure developed for the problem. This procedure is incorporated with a special bounding strategy to overcome the rapidly increasing storage and computational requirements as the size of the problem increases. These approximate solutions are further improved by a branch-and-bound type of procedure called the improvement procedure. This procedure uses approximate costs, instead of lower bounds, to fathom the nodes of the enumeration tree constructed; thus, it is not, in the true sense of the word, the branch-and-bound technique. Consequently, the procedure is not guaranteed to result in the optimal solution; however, it is shown to generate solutions within (1 + ε) of the optimal solution. The improvement procedure either improves the approximate solutions obtained using the dynamic programming procedure or determines that they are quite close to the optimal ones. The improved solutions of the subproblems are then appended to each other to produce the solution of the original problem. Some dominance properties that contribute to the effectiveness of the improvement procedure and help in reducing the size of the enumeration tree are developed. Some sequencing and scheduling problems related to the node evaluation scheme of the improvement procedure are also investigated. A single-machine sequencing procedure is developed for the objective of minimizing the expected incompletion cost with tasks having a common due date and stochastic processing times. This procedure is extended to construct a schedule on M parallel machines. In these procedures, in-completion costs of the tasks are independent of their expected performance times; it can be interpreted as relaxing the precedence relations among the tasks. Solution procedures are also developed for the above sequencing and scheduling problems for the case in which the incompletion costs of the tasks are proportional to their expected performance times. Computational results and analyses made indicate that these procedures result in almost optimal solutions.
Ph. D.

9

Oesterle, Jonathan. "Holistic approach to designing hybrid assembly lines A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives Evaluation of the influence of dominance rules for the assembly line design problem under consideration of product design alternatives Hybrid Multi-objective Optimization Method for Solving Simultaneously the line Balancing, Equipment and Buffer Sizing Problems for Hybrid Assembly Systems Comparison of Multiobjective Algorithms for the Assembly Line Balancing Design Problem Efficient multi-objective optimization method for the mixed-model-line assembly line design problem Detaillierungsgrad von Simulationsmodellen Rechnergestützte Austaktung einer Mixed-Model Line. Der Weg zur optimalen Austaktung". Thesis, Troyes, 2017. http://www.theses.fr/2017TROY0012.

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Le travail présenté dans cette thèse concerne la formulation et la résolution de deux problèmes d'optimisation multi-objectifs. Ces problèmes de décision, liés à une approche holistique, ont pour but de sélectionner la meilleure configuration « produit/ligne d’assemblage » à partir d'un ensemble de design produits, et de ressources. Concernant le premier problème, un modèle de coût a été développé afin de traduire les interdépendances complexes entre la sélection d’un design produit et les caractéristiques des ressources. Une étude empirique est proposée et vise à comparer, selon plusieurs indicateurs de qualité multi-objectifs, différentes méthodes de résolution - comprenant des algorithmes génétiques, de colonies de fourmis, d’optimisation par essaims particulaires, des chauves-souris, de recherche du coucou et de pollinisation des fleurs. Plusieurs règles de dominance et une recherche locale spécifique au problème ont été appliquées aux méthodes de résolution les plus prometteuses. Concernant le second problème, qui se penche également sur le dimensionnement des stocks tampons, les méthodes de résolution sont à un modèle de simulation à événements discrets, dont la fonction première est l’évaluation des valeurs des différentes fonctions objectives. L’approche holistique associée aux deux problèmes a été validée avec deux cas industriels
The work presented in this thesis concerns the formulation and the resolution of two holistic multi-objective optimization problems associated with the selection of the best product and hybrid assembly line configuration out of a set of products, processes and resources alternatives. Regarding the first problem, a cost model was developed in order to translate the complex interdependencies between the selection of specific product designs, processes and resources characteristics. An empirical study is proposed, which aimed at comparing, according to several multi-objective quality indicators, various resolution methods – including variants of evolutionary algorithms, ant colony optimization, particle swarm optimization, bat algorithms, cuckoo search algorithms, and flower-pollination algorithms. Several dominance rules and a problem-specific local search were applied to the most promising resolution methods. Regarding the second problem, which also considers the buffer sizing, the developed algorithms were enhanced with a genetic discrete-event simulation model, whose primary function is to evaluate the value of the various objective functions. The demonstration of the associated resolution frameworks for both problems was validated through two industrial-cases

10

Guden, Huseyin. "An Adaptive Simulated Annealing Method For Assembly Line Balancing And A Case Study". Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607478/index.pdf.

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Assembly line balancing problem is one of the most studied NP-Hard problems. NP-Hardness leads us to search for a good solution instead of the optimal solution especially for the big-size problems. Meta-heuristic algorithms are the search methods which are developed to find good solutions to the big-size and combinatorial problems. In this study, it is aimed at solving the multi-objective multi-model assembly line balancing problem of a company. A meta-heuristic algorithm is developed to solve the deterministic assembly line balancing problems. The algorithm developed is tested using the test problems in the literature and the the real life problem of the company as well. The results are analyzed and found to be promising and a solution is proposed for the firm.

Mais fontes

Livros sobre o assunto "Mixed-model assembly line balancing":

1

Rekiek, Brahim. Assembly line design: The balancing of mixed-model hybrid assembly lines with genetic algorithms. London: Springer, 2006.

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2

Balakrishnan, Anantaram. Setup optimization and workload balancing for mixed-model electronics assembly operations. Cambridge, Mass: Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 1993.

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3

Delchambre, Alain, e Brahim Rekiek. Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms. Springer, 2010.

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4

Delchambre, Alain, e Brahim Rekiek. Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms (Springer Series in Advanced Manufacturing). Springer, 2005.

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Capítulos de livros sobre o assunto "Mixed-model assembly line balancing":

1

Scholl, Armin. "Mixed-Model Assembly Lines". In Balancing and Sequencing of Assembly Lines, 77–112. Heidelberg: Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-662-11223-6_3.

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2

Scholl, Armin. "Mixed-Model Assembly Lines". In Balancing and Sequencing of Assembly Lines, 75–110. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-662-00861-4_3.

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Choudhary, Sandeep, e Sunil Agrawal. "Multiobjective Mixed Model Assembly Line Balancing Problem". In Advances in Intelligent Systems and Computing, 655–63. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11218-3_58.

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Scholl, Armin. "Solution Methods for Mixed-Model Balancing and Sequencing Problems". In Balancing and Sequencing of Assembly Lines, 201–30. Heidelberg: Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-662-11223-6_6.

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Scholl, Armin. "Solution Methods for Mixed - Model Balancing and Sequencing Problems". In Balancing and Sequencing of Assembly Lines, 195–224. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-662-00861-4_6.

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Yaphiar, Susanto, Cahyadi Nugraha e Anas Ma’ruf. "Mixed Model Assembly Line Balancing for Human-Robot Shared Tasks". In Lecture Notes in Mechanical Engineering, 245–52. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0950-6_38.

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Kim, Dongwook, Jinwoo Park e Ilkyeong Moon. "Integrated Mixed-Model Assembly Line Balancing with Unskilled Temporary Workers". In Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth, 324–31. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22759-7_38.

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Sgarbossa, Fabio, Daria Battini, Alessandro Persona e Valentina Visentin. "Including Ergonomics Aspects into Mixed-Model Assembly Line Balancing Problem". In Advances in Intelligent Systems and Computing, 991–1001. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41694-6_94.

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Scholl, Armin. "Exact Procedures for Single - Model Assembly Line Balancing Problems". In Balancing and Sequencing of Assembly Lines, 111–72. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-662-00861-4_4.

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Scholl, Armin. "Exact Procedures for Single-Model Assembly Line Balancing Problems". In Balancing and Sequencing of Assembly Lines, 113–78. Heidelberg: Physica-Verlag HD, 1999. http://dx.doi.org/10.1007/978-3-662-11223-6_4.

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Trabalhos de conferências sobre o assunto "Mixed-model assembly line balancing":

1

Al-e-hashem, S. M. J. Mirzapour, M. B. Aryanezhad, H. Malekly e S. J. Sadjadi. "Mixed model assembly line balancing problem under uncertainty". In Industrial Engineering (CIE39). IEEE, 2009. http://dx.doi.org/10.1109/iccie.2009.5223925.

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2

Jonnalagedda, V. L. V., e B. M. Dabade. "Heuristic procedure for Mixed Model Assembly Line Balancing Problem". In EM). IEEE, 2010. http://dx.doi.org/10.1109/ieem.2010.5674505.

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3

Bai, Ying, Hongshun Zhao e Liao Zhu. "Mixed-Model Assembly Line Balancing Using the Hybrid Genetic Algorithm". In 2009 International Conference on Measuring Technology and Mechatronics Automation. IEEE, 2009. http://dx.doi.org/10.1109/icmtma.2009.591.

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Liao, L. M., C. J. Huang e J. H. Huang. "Applying multi-agent approach to mixed-model assembly line balancing". In 2012 IEEE 6th International Conference on Management of Innovation & Technology (ICMIT 2012). IEEE, 2012. http://dx.doi.org/10.1109/icmit.2012.6225889.

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5

"Robust Line Balancing on Mixed-Model Assembly Line under Processing Time Uncertainty". In International Conference on Advanced Computational Technologies and Creative Media. International Institute of Engineers, 2014. http://dx.doi.org/10.15242/iie.e0814505.

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Sun, Qiu-gao, e Ying-de Li. "Study on stochastic mixed-model assembly line balancing based on Arena". In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536800.

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Sun, Qiu-gao. "Mixed-Model Assembly Line Balancing Based on PSO-SA Alternate Algorithm". In 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2010. http://dx.doi.org/10.1109/icicta.2010.9.

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Wu, Yongming, Yanxia Xu, Lifei Luo, Han Zhang e Xudong Zhao. "An improved NSGA - II algorithm for mixed model assembly line balancing". In 6TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2018). Author(s), 2018. http://dx.doi.org/10.1063/1.5039129.

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Liao, L. M., e C. J. Huang. "A multi-agent based rescheduling framework for mixed-model assembly line balancing". In 2012 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2012. http://dx.doi.org/10.1109/ieem.2012.6837784.

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10

Zhang, Ye, Long-feng Tao e Fan Ju. "Balancing of mixed-model assembly line based on ant colony optimization algorithm". In EM 2011). IEEE, 2011. http://dx.doi.org/10.1109/icieem.2011.6035302.

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