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Original Articles

Production planning for a ramp-up process with learning in production and growth in demand

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Pages 5707-5718 | Received 28 Feb 2011, Accepted 16 Aug 2011, Published online: 17 Oct 2011

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Read on this site (9)

Taebok Kim, Christoph H. Glock & Simon Emde. (2021) Production planning for a ramp-up process in a multi-stage production system with worker learning and growth in demand. International Journal of Production Research 59:19, pages 6002-6021.
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Giulia Bruno, Dario Antonelli & Dorota Stadnicka. (2021) Evaluating the effect of learning rate, batch size and assignment strategies on the production performance. Journal of Industrial and Production Engineering 38:2, pages 137-147.
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Konstantin Biel & Christoph H. Glock. (2018) Governing the dynamics of multi-stage production systems subject to learning and forgetting effects: A simulation study. International Journal of Production Research 56:10, pages 3439-3461.
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W. Patrick Neumann & Per Medbo. (2017) Simulating operator learning during production ramp-up in parallel vs. serial flow production. International Journal of Production Research 55:3, pages 845-857.
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Francesco Lolli, Rita Gamberini, Claudio Giberti, Mauro Gamberi, Marco Bortolini & Emanuele Bruini. (2016) A learning model for the allocation of training hours in a multistage setting. International Journal of Production Research 54:19, pages 5697-5707.
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Christoph H. Glock & Eric H. Grosse. (2015) Decision support models for production ramp-up: a systematic literature review. International Journal of Production Research 53:21, pages 6637-6651.
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Klaus R.N. Hansen & Martin Grunow. (2015) Modelling ramp-up curves to reflect learning: improving capacity planning in secondary pharmaceutical production. International Journal of Production Research 53:18, pages 5399-5417.
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Hui-Hong JK Li, Yong Jiang Shi, Mike Gregory & Kim Hua Tan. (2014) Rapid production ramp-up capability: a collaborative supply network perspective. International Journal of Production Research 52:10, pages 2999-3013.
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Aiping Jiang, Lin Li, Xuemin Xu & David Y. C. Huang. The effects of dynamic learning and the forgetting process on an optimising modelling for full-service repair pricing contracts for medical devices. Journal of the Operational Research Society 0:0, pages 1-15.
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Articles from other publishers (31)

Jaewon Jeong, Christoph H. Glock & Taebok Kim. (2023) Ramp-up planning for alternative product portfolios in a multi-product-multi-stage production system. Computers & Industrial Engineering 182, pages 109390.
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Mariem Belhor, Adnen El-Amraoui, Abderrazak Jemai & Fran鏾is Delmotte. (2023) Learning-Based Metaheuristic Approach for Home Healthcare Optimization Problem. Computer Systems Science and Engineering 45:1, pages 1-19.
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Florian Schmid, Jan Schneidewind, Tobias Wild, Stefan Galka, Lukas Schuhegger & Tobias Vogl. (2022) Simulation Based Approach for Reconfiguration and Ramp Up Scenario Analysis in Factory Planning. Simulation Based Approach for Reconfiguration and Ramp Up Scenario Analysis in Factory Planning.
Chung-Ho Chang & Jen-Ming Chen. (2022) Capacity Policy for an OEM under Production Ramp-Up and Demand Diffusion. Mathematical Problems in Engineering 2022, pages 1-22.
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M.Y. Jaber, J. Peltokorpi & T.L. Smunt. (2022) The lot size problem and the learning curve: A review of mathematical modeling (1950’s -2020). Applied Mathematical Modelling 105, pages 832-859.
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Yongjang Kwon, Tobias Schoenherr, Taebok Kim & Kichun Lee. (2021) Production resource planning for product transition considering learning effects. Applied Mathematical Modelling 98, pages 207-228.
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Sebastiano Di Luozzo, Georgiana Ramona Pop & Massimiliano Maria Schiraldi. (2021) The Human Performance Impact on OEE in the Adoption of New Production Technologies. Applied Sciences 11:18, pages 8620.
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Khaled Medini, David Romero & Thorsten Wuest. (2021) Developing a Multi-Agent System to Support Multi-Variant Production Ramp-Up Management. Smart and Sustainable Manufacturing Systems 5:1, pages 129-147.
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Khaled Medini, Thorsten Wuest, Elham Jelodari, David Romero & Valérie Laforest. (2021) A Decision Support System to Operationalize Customer-Centric Sustainability. Procedia CIRP 103, pages 122-127.
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Lu Wang, Wenqing Ai, Tianhu Deng, Zuo‐Jun M. Shen & Changjing Hong. (2020) Optimal production ramp‐up in the smartphone manufacturing industry. Naval Research Logistics (NRL) 67:8, pages 685-704.
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Stefanos Doltsinis, Pedro Ferreira, Mohammed M. Mabkhot & Niels Lohse. (2020) A Decision Support System for rapid ramp-up of industry 4.0 enabled production systems. Computers in Industry 116, pages 103190.
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Raaid Batarfi, Mohamad Y. Jaber & Christoph H. Glock. (2019) Pricing and inventory decisions in a dual-channel supply chain with learning and forgetting. Computers & Industrial Engineering 136, pages 397-420.
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Ahmet Kolus, Richard Wells & Patrick Neumann. (2018) Production quality and human factors engineering: A systematic review and theoretical framework. Applied Ergonomics 73, pages 55-89.
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Danyu Bai, Mengqian Tang, Zhi-Hai Zhang & Ernesto DR Santibanez-Gonzalez. (2018) Flow shop learning effect scheduling problem with release dates. Omega 78, pages 21-38.
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Ramón Bultó, Elisabeth Viles & Ricardo Mateo. (2016) Overview of ramp-up curves: A literature review and new challenges. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232:5, pages 755-765.
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Frank Meisel & Christoph H. Glock. (2018) Self-induced learning vs. project-based supplier development for production ramp-up with two supply options. International Journal of Production Economics 198, pages 60-69.
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Taebok Kim. (2018) An integrated model for production and batch shipments for ramp-up production. Computers & Industrial Engineering 118, pages 138-152.
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J. Tilindis & V. Kleiza. (2017) Learning curve parameter estimation beyond traditional statistics. Applied Mathematical Modelling 45, pages 768-783.
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Shujin Qin, Shixin Liu & Hanbin Kuang. (2016) Piecewise Linear Model for Multiskilled Workforce Scheduling Problems considering Learning Effect and Project Quality. Mathematical Problems in Engineering 2016, pages 1-11.
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Francesco Lolli, Michael Messori, Rita Gamberini, Bianca Rimini & Elia Balugani. (2016) Modelling production cost with the effects of learning and forgetting. IFAC-PapersOnLine 49:12, pages 503-508.
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El-Awady Attia, Ashraf Megahed & Philippe Duquenne. (2016) Towards a learning curve for electric motors production under organizational learning via shop floor data. IFAC-PapersOnLine 49:12, pages 1086-1091.
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Daniele Scrimieri, Robert F. Oates & Svetan M. Ratchev. (2013) Learning and reuse of engineering ramp-up strategies for modular assembly systems. Journal of Intelligent Manufacturing 26:6, pages 1063-1076.
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Horatio M. Morgan & Ojelanki Ngwenyama. (2015) Real options, learning cost and timing software upgrades: Towards an integrative model for enterprise software upgrade decision analysis. International Journal of Production Economics 168, pages 211-223.
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Mohammadali Pirayesh & Saeed Poormoaied. (2015) GPSO-LS algorithm for a multi-item EPQ model with production capacity restriction. Applied Mathematical Modelling 39:17, pages 5011-5032.
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Yasuo Yamane, Katsuhiko Takahashi, Kunihiro Hamada, Katsumi Morikawa, Senator Nur Bahagia, Lucia Diawati & Andi Cakravastia. (2015) Developing a plant system prediction model for technology transfer. International Journal of Production Economics 166, pages 119-128.
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Stefanos Doltsinis, Pedro Ferreira & Niels Lohse. (2014) An MDP Model-Based Reinforcement Learning Approach for Production Station Ramp-Up Optimization: Q-Learning Analysis. IEEE Transactions on Systems, Man, and Cybernetics: Systems 44:9, pages 1125-1138.
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Christoph H. Glock & Mohamad Y. Jaber. (2014) A group learning curve model with and without worker turnover. Journal of Modelling in Management 9:2, pages 179-199.
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Iman Niroomand, Onur Kuzgunkaya & Akif Asil Bulgak. (2014) The effect of system configuration and ramp-up time on manufacturing system acquisition under uncertain demand. Computers & Industrial Engineering 73, pages 61-74.
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Justinas Tilindis & Vytautas Kleiza. (2014) The Effect of Learning Factors due to Low Volume Order Fluctuations in the Automotive Wiring Harness Production. Procedia CIRP 19, pages 129-134.
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Eric H. Grosse & Christoph H. Glock. (2013) An experimental investigation of learning effects in order picking systems. Journal of Manufacturing Technology Management 24:6, pages 850-872.
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Christoph H. Glock & Mohamad Y. Jaber. (2013) A multi-stage production-inventory model with learning and forgetting effects, rework and scrap. Computers & Industrial Engineering 64:2, pages 708-720.
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