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Improving Just-in-Time Delivery Performance of IoT-Enabled Flexible Manufacturing Systems with AGV Based Material Transportation

Fengjia Yao, Bugra Alkan, Bilal Ahmad, Robert Harrison
2020 Sensors  
The results showed that the developed system can find the near-optimal solutions for production schedules subjected to production anomalies in a negligible time, thereby supporting shop-floor decision-making  ...  The proposed system uses discrete event simulation (DES) models enhanced by the Internet-of-Things (IoT) enabled digital integration and employs a nonlinear mixed integer programming Genetic Algorithm  ...  Dang and Nielsen [23] presented a genetic algorithm-based scheduling optimisation approach for AGV based FMSs. Nageswararao et al.  ... 
doi:10.3390/s20216333 pmid:33171979 fatcat:usqyt42grremjeutedbgmxipxi

Applications of computational intelligence for design and operations decisions in manufacturing

Wen-Chyuan Chiang, Chao-Hsien Chu, Timothy L. Urban
2011 International Journal of Production Research  
Wang and Choi consider the makespan optimisation of a flexible flow-shop scheduling problem with stochastic machine breakdown.  ...  A double-layered heuristic optimisation algorithm is presented for solving this problem.  ... 
doi:10.1080/00207543.2011.571439 fatcat:d2z4gci25jh5blhtaehcvjfxxm

Review on Integration of Process Planning and Scheduling [chapter]

R.K. Phanden, A. Jain, R. Verma
2011 DAAAM International scientific book 2011  
Several researchers have focussed on the need for integration of process planning and scheduling functions in order to facilitate flexibility and for improving profitability of manufacturing a product,  ...  Process planning and scheduling are two most important tasks in a manufacturing company.  ...  Planning and scheduling in an FMS. Eng. Costs Prod. Econ., 17 (1-4), 89-97  ... 
doi:10.2507/daaam.scibook.2011.49 fatcat:g57yne23dndavhylflrfy2cw5q

Pollux: a dynamic hybrid control architecture for flexible job shop systems

Jose-Fernando Jimenez, Abdelghani Bekrar, Gabriel Zambrano-Rey, Damien Trentesaux, Paulo Leitão
2016 International Journal of Production Research  
The proposed approach was tested in a real flexible job shop to demonstrate the applicability and efficiency of including an optimisation algorithm in the switching process of a dynamic hybrid control  ...  Nowadays, manufacturing control systems can respond more effectively to exigent market requirements and real-time demands.  ...  The application in this paper concerns production scheduling in a real flexible job shop system (type of manufacturing system).  ... 
doi:10.1080/00207543.2016.1218087 fatcat:2iaty5clhzgcfey7l5mw7mdvhu

A survey of dynamic scheduling in manufacturing systems

Djamila Ouelhadj, Sanja Petrovic
2008 Journal of Scheduling  
The problem of scheduling is concerned with searching for optimal (or near-optimal) schedules subject to a number of constraints.  ...  Scheduling research has largely ignored this problem, focusing instead on optimisation of static schedules.  ...  Chryssolouris and Subramaniam (2001) used genetic algorithms for dynamic scheduling of manufacturing job shops in the presence of machine breakdown and alternate job routine.  ... 
doi:10.1007/s10951-008-0090-8 fatcat:ey7we6uyq5azdi2lcruqlxiqje

Application of Genetic Algorithm into Multicriteria Batch Manufacturing Scheduling

Aleš Slak, Jože Tavčar, Jože Duhovnik
2011 Strojniski vestnik  
An update was required for the whole lifecycle of products and means of work. The article presents information and an algorithm for a dynamic scheduling model, based on a genetic algorithm.  ...  The orders on the machines are scheduled on the basis of a genetic algorithm, according to the target function criteria.  ...  [24] developed a simple genetic algorithm for a job-shop problem. Makespan as a target function was used and the solution was found without the help of heuristic rules.  ... 
doi:10.5545/sv-jme.2010.122 fatcat:nyxcb53qajglxa5fb4l5ldkr3i

Trends and topics in IJPR from 1961 to 2017: a statistical history

Rodrigo Romero-Silva, Erika Marsillac
2018 International Journal of Production Research  
Analyses suggest that the triad of scheduling/optimisation/simulation and supply-chain-related topics have been IJPR's mainstays, but valuable opportunities remain for relevant topics that have not yet  ...  IJPR stands as one of the most prestigious and established journals in its field and the results from this study indicate the evolving interests of the field for over half a century.  ...  Supplementary material The supplementary material for this article is available online at https://doi.org/10.1080/00207543.2018.1551638.  ... 
doi:10.1080/00207543.2018.1551638 fatcat:qli3e75pgbftdisslidmzbc55q

Hybrid Flow Shop Management: Multi Objective Optimisation

Lorenzo Lassig, Fabio Mazzer, Marino Nicolich, Carlo Poloni
2017 Procedia CIRP  
production Hybrid Flow-Shops lines are several: optimal numbers of machines, shifts, product priority and time-period scheduling.  ...  selection of the preferred solution via post-processing; 4) A mono-objective optimisation of each cluster; and 5) creation of weekly scheduling with optimal results.  ...  Many types of optimisation algorithm are used, for example: Simulated Annealing-SA, Tabu Search-TS, Genetic Algorithms-GA, Ant Colony Optimisation-ACO, Neural Networks-NN, etc.  ... 
doi:10.1016/j.procir.2016.06.007 fatcat:eah6yopuzfhutayzbzlygqrz34

Integration of process planning and scheduling: a state-of-the-art review

Rakesh Kumar Phanden, Ajai Jain, Rajiv Verma
2011 International journal of computer integrated manufacturing (Print)  
Several researchers have addressed the need for integration of process planning and scheduling (IPPS) functions to facilitate flexibility and for improving profitability of manufacturing a product, delivery  ...  Process planning and scheduling functions strongly influence profitability of manufacturing a product, resource utilisation and product delivery time.  ...  We would like to thank the anonymous referees, reviewers and editor for their valuable comments and recommendations for improving the content of this paper.  ... 
doi:10.1080/0951192x.2011.562543 fatcat:lxyewoshcnhidcx6xpagaspvjm

Agent Cooperation Mechanism for Decentralized Manufacturing Scheduling

Guiovanni Jules, Mozafar Saadat
2017 IEEE Transactions on Systems, Man & Cybernetics. Systems  
ACKNOWLEDGMENT The authors would like to acknowledge with thanks GFM S.r.l. for the use case. The authors would also like to thank the anonymous reviewers for their constructive comments.  ...  For optimising a manufacturer agent, its operation plan is passed via the parameter, for manufacturer pair agent, a pair of operation plans is passed and for manufacturing network agent, a list of linked  ...  The MT10 problem is a flow shop scheduling problem and involves 10 manufacturers, 10 jobs and 100 operations as shown in Table 1 .  ... 
doi:10.1109/tsmc.2016.2578879 fatcat:o5mldsquybdavcdt5gs2mh2xra

Agent-based distributed manufacturing scheduling: an ontological approach

Salman Saeidlou, Mozafar Saadat, Ebrahim Amini Sharifi, Guiovanni D. Jules, Tao Peng
2019 Cogent Engineering  
These allow resolution of combinatorial optimisation of a global schedule, which consists of the fixed process plan jobs and which requires operations offered by manufacturers.  ...  The research has achieved a novel ontology-based optimisation algorithm to allow agents to schedule operations whilst cutting down on the duration of the computational analysis, as well as improving the  ...  Funding The authors received no direct funding for this research. Author details  ... 
doi:10.1080/23311916.2019.1565630 fatcat:5wd257ygyjfdppzaw4uuwlaj6i

Genetic programming for production scheduling: a survey with a unified framework

Su Nguyen, Yi Mei, Mengjie Zhang
2017 Complex & Intelligent Systems  
Genetic programming has been a powerful technique for automated design of production scheduling heuristics.  ...  In this paper, a unified framework for automated design of production scheduling heuristics with genetic programming is developed.  ...  [90] developed a multi-objective genetic programming-based hyper-heuristic (MO-GPHH) for dynamic job shop scheduling.  ... 
doi:10.1007/s40747-017-0036-x fatcat:jyqymikcqvgndojckycnfzjs2y

Solving the Multi-objective Flexible Job-Shop Scheduling Problem with Alternative Recipes for a Chemical Production Process [chapter]

Piotr Dziurzanski, Shuai Zhao, Jerry Swan, Leandro Soares Indrusiak, Sebastian Scholze, Karl Krone
2019 Lecture Notes in Computer Science  
This paper considers a new variant of a multi-objective flexible job-shop scheduling problem, featuring multisubset selection of manufactured recipes.  ...  We propose a novel associated chromosome encoding and customise the classic MOEA/D multi-objective genetic algorithm with new genetic operators.  ...  Numerous versions of this problem have been proposed, starting from an original Job-shop Scheduling Problem (JSP) coined by R.L.  ... 
doi:10.1007/978-3-030-16692-2_3 fatcat:474pry3ftrhnnmnqym4uvkavqq

Digital Manufacturing and Flexible Assembly Technologies for Reconfigurable Aerospace Production Systems

Keith Jackson, Konstantinos Efthymiou, John Borton
2016 Procedia CIRP  
Reconfigurability is an important aspect of modern manufacturing systems as it facilitates the seamless introduction of new products to production and the adaptation to demand volatility.  ...  This paper discusses a framework of key technologies ranging from digital manufacturing concepts to flexible fixturing that enable reconfigurability in aerospace manufacturing systems.  ...  A heuristic approach, in particular genetic algorithm is used in order to generate an optimised schedule that will be visualized in the form of a traditional Gantt chart.  ... 
doi:10.1016/j.procir.2016.07.054 fatcat:ns6e3a2zinbkpdrrermoryieju

Hybrid Multi-agent System for Cooperative Dynamic Scheduling Through Meta-Heuristics

Ana Madureira, Joaquin Santos, Nuno Gomes
2007 Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007)  
In this paper we will model a Manufacturing System by means of a Multi-Agent Systems, where each agent may represent a processing entity.  ...  This is the case with most algorithms for solving the so-called static scheduling problem for different setting of both single and multimachine systems arrangements.  ...  Each machine agent is able to obtain schedules for manufacturing orders based on Meta-Heuristics (e.g. Genetic Algorithms or Tabu Search).  ... 
doi:10.1109/isda.2007.50 dblp:conf/isda/MadureiraSG07 fatcat:el2spssmkbat7oovzoo6ekgznm
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