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Journal articles 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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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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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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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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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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Kück, M., J. Ehm, T. Hildebrandt, M. Prof Freitag, and E. M. Prof Frazzon. "Adaptive PPS durch simulationsbasierte Optimierung*/Adaptive PPC by simulation-based optimization." wt Werkstattstechnik online 107, no. 04 (2017): 288–92. http://dx.doi.org/10.37544/1436-4980-2017-04-92.

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Der Trend zur Fertigung individualisierter Produkte in kleinen Losgrößen erfordert hochflexible Produktionssysteme. Durch die damit verbundene Systemdynamik wird die Reihenfolgeplanung zu einem komplexen Planungsproblem. Der Beitrag beschreibt ein simulationsbasiertes Optimierungsverfahren, welches Echtzeitinformationen zur adaptiven Selektion geeigneter Prioritätsregeln verwendet. Das Potenzial des Ansatzes wird anhand eines Anwendungsfalls aus der Halbleiterindustrie demonstriert. &nbsp; The trend to manufacturing individualized products in small-scale series demands highly flexible prod

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Al-Turki, Umar M., Haitham Saleh, Tamer Deyab, and Yasser Almoghathawi. "Resource Allocation and Job Dispatching for Unreliable Flexible Flow Shop Manufacturing System." Advanced Materials Research 445 (January 2012): 947–52. http://dx.doi.org/10.4028/www.scientific.net/amr.445.947.

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Resource allocation, product batching and production scheduling are three different problems in manufacturing systems of different structures such as flexible flow shop manufacturing systems. These problems are usually dealt with independently for a certain objective function related to production efficiency and effectiveness. Handling all of them in an integrated manner is a challenge facing many manufacturing systems in practice and that challenge increases for highly complicated and stochastic systems. Random arrival of products, machine setup time requirements, unexpected machine breakdown

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Ojstersek, R., M. Tang, and B. Buchmeister. "Due date optimization in multi-objective scheduling of flexible job shop production." Advances in Production Engineering & Management 15, no. 4 (2020): 481–92. http://dx.doi.org/10.14743/apem2020.4.380.

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The manuscript presents the importance of integrating mathematical methods for the determination of due date optimization parameter for maturity optimization in evolutionary computation (EC) methods in multi-objective flexible job shop scheduling problem (FJSSP). The use of mathematical modelling methods of due date optimization with slack (SLK) for low and total work content (TWK) for medium and high dimensional problems was presented with the integration into the multi-objective heuristic Kalman algorithm (MOHKA). The multi-objective optimization results of makespan, machine utilization and

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Rezig, Sadok, Wajih Ezzeddine, Sadok Turki, and Nidhal Rezg. "Mathematical Model for Production Plan Optimization—A Case Study of Discrete Event Systems." Mathematics 8, no. 6 (2020): 955. http://dx.doi.org/10.3390/math8060955.

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This paper proposes an optimal scheduling model under production and maintenance constraints for a real case of a discrete event system. The intent was to use the rich mathematical theory and algorithms of optimization in the study of this important class of systems. The current study detailed firstly a new approach for mapping a simulation event relationship graph into a mixed-integer program, with a flexible workshop real case. Several other potential applications of the mathematical model are examined, thanks to the model constraints flexibility characteristics, including a general case of

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van der Linden, Koos, Natalia Romero, and Mathijs M. de Weerdt. "Benchmarking Flexible Electric Loads Scheduling Algorithms." Energies 14, no. 5 (2021): 1269. http://dx.doi.org/10.3390/en14051269.

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Due to increasing numbers of intermittent and distributed generators in power systems, there is an increasing need for demand responses to maintain the balance between electricity generation and use at all times. For example, the electrification of transportation significantly adds to the amount of flexible electricity demand. Several methods have been developed to schedule such flexible energy consumption. However, an objective way of comparing these methods is lacking, especially when decisions are made based on incomplete information which is repeatedly updated. This paper presents a new be

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Červeňanská, Zuzana, Pavel Važan, Martin Juhás, and Bohuslava Juhásová. "Multi-Criteria Optimization in Operations Scheduling Applying Selected Priority Rules." Applied Sciences 11, no. 6 (2021): 2783. http://dx.doi.org/10.3390/app11062783.

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The utilization of a specific priority rule in scheduling operations in flexible job shop systems strongly influences production goals. In a context of production control in real practice, production performance indicators are evaluated always en bloc. This paper addresses the multi-criteria evaluating five selected conflicting production objectives via scalar simulation-based optimization related to applied priority rule. It is connected to the discrete-event simulation model of a flexible job shop system with partially interchangeable workplaces, and it investigates the impact of three selec

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Sugimura, Nobuhiro, Koji Iwamura, and Tomohiko Maeda. "Special Issue on Production Planning and Scheduling." International Journal of Automation Technology 9, no. 3 (2015): 209. http://dx.doi.org/10.20965/ijat.2015.p0209.

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This issue focuses on production planning and scheduling for production system and the related problems that have arisen in these areas in the last half century as digital computer systems developed. These problems relate to production management, production planning, shop floor control, product design and process planning. In the first stage of production planning and scheduling systems R&D, optimization is a key issue that has been widely discussed and many theories and optimization algorithms proposed. Rule-based methods are discussed as potential solutions to these problems. With rapid

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Ihlenfeldt, Steffen, Tim Wunderlich, Marian Süße, et al. "Increasing Resilience of Production Systems by Integrated Design." Applied Sciences 11, no. 18 (2021): 8457. http://dx.doi.org/10.3390/app11188457.

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The paper presents a framework for considering resilience as an integrated aspect in the design of manufacturing systems. The framework comprises methods for the assessment of resilience, supply chain and production planning, flexible execution and control as well as modular and skill-based methods for automation systems. A basic classification of risk categories and their impacts on manufacturing environments is given so that a concept of reconfigurable and robust production systems can be derived. Based on this, main characteristics and concepts of resilience are applied to manufacturing sys

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Eloundou, José, David Baudry, M’hammed Sahnoun, Abdelaziz Bensrhair, Anne Louis, and Bélahcène Mazari. "Flexible Job Shop Models for Solving Scheduling and Layout Problems Using Coloured Petri Nets." Applied Mechanics and Materials 598 (July 2014): 638–42. http://dx.doi.org/10.4028/www.scientific.net/amm.598.638.

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In this paper we propose models for solving both the layout manufacturing problems and the scheduling manufacturing systems. These models are based on Coloured petri Nets. The particularity of our models is the possibility to include complex programmable functions inside the petri nets models. In our case the programming language is SML/NJ. The advantage of programming language is the possibility to use Heuristics or Meta-heuristic optimization methods inside the Coloured Petri Nets (CPN) model without the necessity to relaunch the simulation of the model at each step of optimization. For desc

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Yao, Fengjia, Bugra Alkan, Bilal Ahmad, and Robert Harrison. "Improving Just-in-Time Delivery Performance of IoT-Enabled Flexible Manufacturing Systems with AGV Based Material Transportation." Sensors 20, no. 21 (2020): 6333. http://dx.doi.org/10.3390/s20216333.

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Autonomous guided vehicles (AGVs) are driverless material handling systems used for transportation of pallets and line side supply of materials to provide flexibility and agility in shop-floor logistics. Scheduling of shop-floor logistics in such systems is a challenging task due to their complex nature associated with the multiple part types and alternate material transfer routings. This paper presents a decision support system capable of supporting shop-floor decision-making activities during the event of manufacturing disruptions by automatically adjusting both AGV and machine schedules in

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Heilala, J., J. Montonen, and O. Väätäinen. "Life cycle and unit-cost analysis for modular reconfigurable flexible light assembly systems." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 222, no. 10 (2008): 1289–99. http://dx.doi.org/10.1243/09544054jem1034.

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The article presents a decision support methodology for the selection of a modular reconfigurable assembly system using three-dimensional visualization, component-based simulation, efficiency, and economic analysis methodology. During the design and selection of an assembly system, measurement schemes should be established for determining and understanding design effectiveness. Measurements can be classed into two categories: cost and performance. Understanding assembly production costs is the first step towards increasing profits. The authors have developed an analysis method that integrates

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Guo, C. F., and C. X. Gu. "Application of Control Algorithms and Statistical Methods for Work-in-Progress Management in Discrete Production Systems." Materials Science Forum 626-627 (August 2009): 723–28. http://dx.doi.org/10.4028/www.scientific.net/msf.626-627.723.

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A new kind of work-in-progress control system (I-WCS) is proposed, in which two control algorithms, the proportional & integral control (PI) and the statistical process control (SPC) are integrated to maintain a reasonable amount of work-in-progress (WIP) in discrete manufacturing systems. Taking the production line of certain motorcycle engines’ crankcases as an example, its I-WCS system is proposed. It consists of two integrated controllers, which are able to collect real-time production data, draw Shewhart control charts, and get these charts analyzed and acquire real production schedul

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Rivera-Gómez, Héctor, Oscar Montaño-Arango, José Corona-Armenta, Jaime Garnica-González, Antonio Ortega-Reyes, and Gustavo Anaya-Fuentes. "JIT Production Strategy and Maintenance for Quality Deteriorating Systems." Applied Sciences 9, no. 6 (2019): 1180. http://dx.doi.org/10.3390/app9061180.

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We study the optimal production planning and major maintenance scheduling for an unreliable manufacturing system. We assume that the production unit experiences progressive deterioration that negatively influences product quality. For the production policy, we extend improve traditional threshold policies with a superior alternative, based on a just-in-time (JIT) strategy. The paper brings a new vision on the importance of implementing more effective production strategies based on JIT methods, instead of traditional threshold policies. When a failure occurs, the production unit is minimally re

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Dornhöfer, Mareike, Simon Sack, Johannes Zenkert, and Madjid Fathi. "Simulation of Smart Factory Processes Applying Multi-Agent-Systems—A Knowledge Management Perspective." Journal of Manufacturing and Materials Processing 4, no. 3 (2020): 89. http://dx.doi.org/10.3390/jmmp4030089.

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The implementation of Industry 4.0 and smart factory concepts changes the ways of manufacturing and production and requires the combination and interaction of different technologies and systems. The need for rapid implementation is steadily increasing as customers demand individualized products which are only possible if the production unit is smart and flexible. However, an existing factory cannot be transformed easily into a smart factory, especially not during operational mode. Therefore, designers and engineers require solutions which help to simulate the aspired change beforehand, thus ru

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Rahimov, Sh R., and A. H. Huseynov. "STRUCTURAL MODELING OF THE DATABASE AND KNOWLEDGE BASE ACTIVE ELEMENTS OF FLEXIBLE MANUFACTURING SYSTEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 193 (July 2020): 15–23. http://dx.doi.org/10.14489/vkit.2020.07.pp.015-023.

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In this paper, using the PROLOG language and logical programming methods, development of databases and knowledge bases for manipulating objects like active elements in a simulation representation is considered. The knowledge presented in the form of facts and rules which are the main part of the PROLOG language, simplifies the creation of a knowledge base in logical terms. A source of information selected in accordance with the professional interests of an user and converted into a logical form is the main part for solving its tasks. Logical programming methods allow building knowledge base fo

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Rahimov, Sh R., and A. H. Huseynov. "STRUCTURAL MODELING OF THE DATABASE AND KNOWLEDGE BASE ACTIVE ELEMENTS OF FLEXIBLE MANUFACTURING SYSTEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 193 (July 2020): 15–23. http://dx.doi.org/10.14489/vkit.2020.07.pp.015-023.

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In this paper, using the PROLOG language and logical programming methods, development of databases and knowledge bases for manipulating objects like active elements in a simulation representation is considered. The knowledge presented in the form of facts and rules which are the main part of the PROLOG language, simplifies the creation of a knowledge base in logical terms. A source of information selected in accordance with the professional interests of an user and converted into a logical form is the main part for solving its tasks. Logical programming methods allow building knowledge base fo

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Holubek, Radovan, and Roman Ruzarovsky. "The Methods for Increasing of the Efficiency in the Intelligent Assembly Cell." Applied Mechanics and Materials 470 (December 2013): 729–32. http://dx.doi.org/10.4028/www.scientific.net/amm.470.729.

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Efficiency of industrial production lines is crucial as it results in an improved production and utilization of available resources. Industry companies are constantly looking for new ways to improve workplace efficiency. Manufacturing industry trends to employ more flexible assembly cells with changes in programs and configurations for robots, and to achieve a high manufacturing efficiency. The various problems inherent in current mechanized product assembly are outlined, and potential organizational, technological, and engineering measures aimed at increasing the efficiency of product assembl

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Sobottka, Thomas, Felix Kamhuber, and Bernhard Heinzl. "Simulation-Based Multi-Criteria Optimization of Parallel Heat Treatment Furnaces at a Casting Manufacturer." Journal of Manufacturing and Materials Processing 4, no. 3 (2020): 94. http://dx.doi.org/10.3390/jmmp4030094.

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This paper presents the development and evaluation of a digital method for multi-criteria optimized production planning and control of production equipment in a case-study of an Austrian metal casting manufacturer. Increased energy efficiency is a major requirement for production enterprises, especially for energy intensive production sectors such as casting. Despite the significant energy-efficiency potential through optimized planning and the acknowledged application potential for sophisticated simulation-based methods, digital tools for practical planning applications are still lacking. The

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Yang, Zimin, Qing Chang, Dragan Djurdjanovic, Jun Ni, and Jay Lee. "Maintenance Priority Assignment Utilizing On-line Production Information." Journal of Manufacturing Science and Engineering 129, no. 2 (2006): 435–46. http://dx.doi.org/10.1115/1.2336257.

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Maintenance management has a direct influence on production performance. Existing works have not systematically taken the on-line production information into consideration in determining maintenance work-order priority, which is often assigned either through an ad hoc approach or using largely heuristic and static methods. In this paper, we first present a metric that can be used to quantitatively evaluate the effects of different maintenance priorities. Based on this index, one can employ a search algorithm to obtain maintenance work-order priorities that will lead to improved productivity wi

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Zhang, Shoujing, Haotian Du, Sebastian Borucki, Shoufeng Jin, Tiantian Hou, and Zhixiong Li. "Dual Resource Constrained Flexible Job Shop Scheduling Based on Improved Quantum Genetic Algorithm." Machines 9, no. 6 (2021): 108. http://dx.doi.org/10.3390/machines9060108.

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Aiming at solving the problem of dual resource constrained flexible job shop scheduling problem (DRCFJSP) with differences in operating time between operators, an artificial intelligence (AI)-based DRCFJSP optimization model is developed in this paper. This model introduces the differences between the loading and unloading operation time of workers before and after the process. Subsequently, the quantum genetic algorithm (QGA) is used as the carrier; the process is coded through quantum coding; and the niche technology is used to initialize the population, adaptive rotation angle, and quantum

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Araúzo, José Alberto, Ricardo Del Olmo, and Juan José Laviós. "Subasta combinatoria para la programación dinámica en sistemas de fabricación distribuidos." Dirección y Organización, no. 51 (December 1, 2013): 55–64. http://dx.doi.org/10.37610/dyo.v0i51.438.

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Los métodos de programación de operaciones tradicionales, estáticos y basados en arquitecturas centralizadas o jerárquicas, no son suficientemente flexibles para adaptarse al dinamismo y complejidad de los sistemas de fabricación actuales. Por ello, la investigación en técnicas dinámicas de programación y control on-line está creciendo rápidamente. En este ar tículo se presenta una técnica de programación dinámica on-line basada en modelos de mercado e implementada sobre un sistema multiagente. Esta propuesta, además de dinámica, es distribuida no jerárquica, lo que aporta al sistema las carac

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K.T., Vinod, S. Prabagaran, and O. A. Joseph. "Dynamic due date assignment method." Journal of Manufacturing Technology Management 30, no. 6 (2019): 987–1003. http://dx.doi.org/10.1108/jmtm-06-2017-0112.

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Purpose The purpose of this paper is to determine the interaction between dynamic due date assignment methods and scheduling decision rules in a typical dynamic job shop production system in which setup times are sequence dependent. Two due date assignment methods and six scheduling rules are considered for detailed investigation. The scheduling rules include two new rules which are modifications of the existing rules. The performance of the job shop system is evaluated using various measures related to flow time and tardiness. Design/methodology/approach A discrete-event simulation model is d

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Rouhani, Hossein, Alireza Fazlirad, Babak N. Araabi, and Caro Lucas. "Optimal design of a flexible transferring system in press automation using fuzzy clustering." Assembly Automation 25, no. 1 (2005): 53–58. http://dx.doi.org/10.1108/01445150510579003.

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PurposeModern day manufacturing has seen the replacement of manual transfer of parts between press machines with automatic transfer systems. Higher automation productivity demands greater flexibility of transfer devices. This paper deals with methods to improve the flexibility of fixtures designed to transfer parts between press machines.Design/methodology/approachDescribes methods to improve the flexibility of fixtures designed to transfer parts between press machines in Press Shop 3 at Iran Khodro Company (IKCO). A fuzzy C means clustering‐based method is developed to optimize the number and

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Rudas, Imre J. "Intelligent Engineering Systems." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 4 (2000): 237–39. http://dx.doi.org/10.20965/jaciii.2000.p0237.

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The "information revolution" of our time affects our entire generation. While a vision of the "Information Society," with its financial, legal, business, privacy, and other aspects has emerged in the past few years, the "traditional scene" of information technology, that is, industrial automation, maintained its significance as a field of unceasing development. Since the old-fashioned concept of "Hard Automation" applicable only to industrial processes of fixed, repetitive nature and manufacturing large batches of the same product1)was thrust to the background by keen market competition, the k

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Shukla, Om Ji, Gunjan Soni, Rajesh Kumar, and Rashpal S. Ahluwalia. "A Review of Multi Agent based Production Scheduling in Manufacturing System." Recent Patents on Engineering 14 (April 23, 2020). http://dx.doi.org/10.2174/1872212114999200423112955.

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Backgrounds: The manufacturing sector has seen dynamic changes during the last few years, namely the move from product-oriented local economy to customer-driven global economy. In this environment, manufacturing systems have been required to deliver highly flexible, demand-driven and customized products. Hence, multi agent system (MAS) technology can play an important role in making highly responsive production scheduling systems in order to meet dynamic and uncertain changes in demand. Methods: This paper offers a review of MAS for production scheduling problems in manufacturing systems. The

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Wang, Yuquan, and Naiming Xie. "Flexible flow shop scheduling with interval grey processing time." Grey Systems: Theory and Application ahead-of-print, ahead-of-print (2020). http://dx.doi.org/10.1108/gs-09-2020-0123.

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Purposepurpose of this paper is providing a solution for flexible flow shop scheduling problem with uncertain processing time in aeronautical composite lay-up workshop.Design/methodology/approachA flexible flow scheduling model and algorithm with interval grey processing time is established. First, according to actual needs of composite laminate shop scheduling process, interval grey number is used to represent uncertain processing time, and interval grey processing time measurement method, grey number calculation and comparison rules, grey Gantt chart, and other methods are further applied. T

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Caldeira, Rylan H., and A. Gnanavelbabu. "A simheuristic approach for the flexible job shop scheduling problem with stochastic processing times." SIMULATION, November 4, 2020, 003754972096889. http://dx.doi.org/10.1177/0037549720968891.

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In this work, we address the flexible job shop scheduling problem (FJSSP), which is a classification of the well-known job shop scheduling problem. This problem can be encountered in real-life applications such as automobile assembly, aeronautical, textile, and semiconductor manufacturing industries. To represent inherent uncertainties in the production process, we consider stochastic flexible job shop scheduling problem (SFJSSP) with operation processing times represented by random variables following a known probability distribution. To solve this stochastic combinatorial optimization proble

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Chiu, Chun-Chih, and James T. Lin. "Hybrid Evolutionary Algorithm with an Optimal Sample Allocation Strategy for Multifidelity Simulation Optimization Problems." Asia-Pacific Journal of Operational Research, October 13, 2020, 2050043. http://dx.doi.org/10.1142/s0217595920500438.

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Abstract:

Simulation has been applied to evaluate system performance even when the target system does not exist in practice. Dealing with model fidelity is required to apply simulation to practice. A high-fidelity (HF) simulation model is generally more accurate and requires more computational resources than a low-fidelity (LF) one. A low-fidelity model may have less accuracy than a HF one, but it can rapidly evaluate a design alternative. Consequently, the performance accuracy of the constructed simulation model and its computational cost involves a tradeoff. In this research, the simulation optimizati

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