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Relevant bibliographies by topics / Flexible manufacturing systems, simulation methods, production scheduling

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Journal articles

Academic literature on the topic 'Flexible manufacturing systems, simulation methods, production scheduling'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Flexible manufacturing systems, simulation methods, production scheduling"

1

Wu, Kuo-Yang, Sendren Sheng-Dong Xu, and Tzong-Chen Wu. "Optimal Scheduling for Retrieval Jobs in Double-Deep AS/RS by Evolutionary Algorithms." Abstract and Applied Analysis 2013 (2013): 1–17. http://dx.doi.org/10.1155/2013/634812.

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We investigate the optimal scheduling of retrieval jobs for double-deep type Automated Storage and Retrieval Systems (AS/RS) in the Flexible Manufacturing System (FMS) used in modern industrial production. Three types of evolutionary algorithms, the Genetic Algorithm (GA), the Immune Genetic Algorithm (IGA), and the Particle Swarm Optimization (PSO) algorithm, are implemented to obtain the optimal assignments. The objective is to minimize the working distance, that is, the shortest retrieval time travelled by the Storage and Retrieval (S/R) machine. Simulation results and comparisons show the

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Li, Yuanyuan, Stefano Carabelli, Edoardo Fadda, Daniele Manerba, Roberto Tadei, and Olivier Terzo. "Machine learning and optimization for production rescheduling in Industry 4.0." International Journal of Advanced Manufacturing Technology 110, no. 9-10 (2020): 2445–63. http://dx.doi.org/10.1007/s00170-020-05850-5.

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Abstract Along with the fourth industrial revolution, different tools coming from optimization, Internet of Things, data science, and artificial intelligence fields are creating new opportunities in production management. While manufacturing processes are stochastic and rescheduling decisions need to be made under uncertainty, it is still a complicated task to decide whether a rescheduling is worthwhile, which is often addressed in practice on a greedy basis. To find a tradeoff between rescheduling frequency and the growing accumulation of delays, we propose a rescheduling framework, which int

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Zywicki, K., and P. Rewers. "A simulation-based approach to study the influence of different production flows on manufacturing of customized products." Advances in Production Engineering & Management 15, no. 4 (2020): 467–80. http://dx.doi.org/10.14743/apem2020.4.379.

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Manufacturing products tailored to the individual requirements of customers is a must if companies want to compete effectively on the market. The production of customized goods poses new challenges for all areas of functioning of production systems. It is necessary to adopt such rules and methods that will allow a flexible response to product design changes and their demand In the organization of production flow (materials and information). The article presents research carried out in the SmartFactory laboratory of the Poznań University of Technology regarding the impact of the structure of pr

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Zeng, Bin, Rui Wang, and Hong Yu Chen. "Design of Simulation Model for Production Scheduling in Flexible Manufacturing Systems." Advanced Materials Research 230-232 (May 2011): 814–18. http://dx.doi.org/10.4028/www.scientific.net/amr.230-232.814.

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The complex interaction and the high costs of modern manufacturing systems make it necessary to evaluate their use performance. Production scheduling problem is one of the key problems of research of manufacturing systems since with a proper scheduling, the utilization of resources is optimized and orders are produced on time which improves the shop performance and associated cost benefits. However the complexity of modern production systems makes the use of analytical tools more difficult. Thus a computer simulation model of the existing computer integrated manufacturing system based on the c

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5

Sharafali, Moosa, Henry C. Co, and Mark Goh. "Production scheduling in a flexible manufacturing system under random demand." European Journal of Operational Research 158, no. 1 (2004): 89–102. http://dx.doi.org/10.1016/s0377-2217(03)00300-x.

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Ghosh, Soumen, and Cheryl Gaimon. "Routing flexibility and production scheduling in a flexible manufacturing system." European Journal of Operational Research 60, no. 3 (1992): 344–64. http://dx.doi.org/10.1016/0377-2217(92)90086-o.

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7

Setiawan, Ari, Luthfan Qashmal, Rachmawati Wangsaputra, Yatna Yuwana Martawirya, and Abdul Hakim Halim. "An Object-Oriented Modelling of Production Scheduling for Flexible Manufacturing System." Applied Mechanics and Materials 842 (June 2016): 345–54. http://dx.doi.org/10.4028/www.scientific.net/amm.842.345.

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This paper presents an object-oriented modelling approach to production scheduling for FMS. The purpose of this study is to prepare a simulation tool to try a method of production scheduling that allocates jobs to the machines and cutting tools in an FMS. This model is developed by using Pharo as the language software for object-oriented programming through UML system design. This model consists of three types of classes. The first type is the Equipment-class, which related to the physical equipment in the FMS, for example machining-centers, cutting tools, pallet stocker, stacker crane. The se

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Rodrigues, Renato Pontes, Alexandre Ferreira de Pinho, and David Custódio Sena. "Application of Hybrid Simulation in production scheduling in job shop systems." SIMULATION 96, no. 3 (2019): 253–68. http://dx.doi.org/10.1177/0037549719861724.

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This work seeks to study one of the most complex and important issues in production scheduling research: flexible job shop systems. These systems are extremely important for industry, which uses the make-to-order strategy and seeks mix and volume flexibility. The model system will use agents within discrete-event simulation models, generating a Hybrid Simulation model. The agent will sequence the production orders at the beginning of the process and re-sequence them, when necessary, in order to achieve a multi-objective optimization. For this, the agent will bring together two different logics

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Han, Han, Lin, Dong, and Shi. "Flexible Flow Shop Scheduling Method with Public Buffer." Processes 7, no. 10 (2019): 681. http://dx.doi.org/10.3390/pr7100681.

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Actual manufacturing enterprises usually solve the production blockage problem by increasing the public buffer. However, the increase of the public buffer makes the flexible flow shop scheduling rather challenging. In order to solve the flexible flow shop scheduling problem with public buffer (FFSP–PB), this study proposes a novel method combining the simulated annealing algorithm-based Hopfield neural network algorithm (SAA–HNN) and local scheduling rules. The SAA–HNN algorithm is used as the global optimization method, and constructs the energy function of FFSP–PB to apply its asymptotically

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10

Kück, Mirko, Jens Ehm, Michael Freitag, Enzo M. Frazzon, and Ricardo Pimentel. "A Data-Driven Simulation-Based Optimisation Approach for Adaptive Scheduling and Control of Dynamic Manufacturing Systems." Advanced Materials Research 1140 (August 2016): 449–56. http://dx.doi.org/10.4028/www.scientific.net/amr.1140.449.

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The increasing customisation of products, which leads to higher numbers of product variants with smaller lot sizes, requires a high flexibility of manufacturing systems. These systems are subject to dynamic influences and need increasing effort for the generation of the production schedules and for the control of the processes. This paper presents an approach that addresses these challenges. First, scheduling is done by coupling an optimisation heuristic with a simulation model to handle complex and stochastic manufacturing systems. Second, the simulation model is continuously adapted by real-

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