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Original Articles

Aggregate production planning using chance-constrained goal programming

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Pages 673-684 | Received 20 Oct 1983, Published online: 30 Mar 2007

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L. Drew Rosen & Cem Canel. (2008) A comparison of mathematical programming techniques for aggregate production planning. Journal of Interdisciplinary Mathematics 11:2, pages 266-274.
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Chia-Chin Wu & Ni-Bin Chang. (2008) Evaluation of environmentally benign production program in the textile-dyeing industry (II): a multi-objective programming approach. Civil Engineering and Environmental Systems 25:1, pages 1-28.
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H. S. LEWIS, J. R. SWEIGART & R. E. MARKLAND. (1996) An interactive decision framework for multiple objective production planning. International Journal of Production Research 34:11, pages 3145-3164.
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R. VENKATARAMAN & S. B. SMITH. (1996) Disaggregation to a rolling horizon master production schedule with minimum batch-size production restrictions. International Journal of Production Research 34:6, pages 1517-1537.
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S. Ali Naji Nasrabadi Yazd, Amirhossein Salamirad, Siamak Kheybari & Alessio Ishizaka. (2023) An efficiency-based aggregate production planning model for multi-line manufacturing systems. Operations Management Research.
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Nadi Serhan Aydin & Erfan Babaee Tirkolaee. (2022) A systematic review of aggregate production planning literature with an outlook for sustainability and circularity. Environment, Development and Sustainability.
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José Emmanuel Gómez-Rocha, Eva Selene Hernández-Gress & Héctor Rivera-Gómez. (2021) Production planning of a furniture manufacturing company with random demand and production capacity using stochastic programming. PLOS ONE 16:6, pages e0252801.
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P K A Tyas, T Bakhtiar & B P Silalahi. (2021) Analysis of Aggregate Production Planning Problem with Goal Programming Model. Journal of Physics: Conference Series 1863:1, pages 012005.
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Alireza Goli, Erfan Babaee Tirkolaee, Behnam Malmir, Gui-Bin Bian & Arun Kumar Sangaiah. (2019) A multi-objective invasive weed optimization algorithm for robust aggregate production planning under uncertain seasonal demand. Computing 101:6, pages 499-529.
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Aboozar Jamalnia, Jian-Bo Yang, Ardalan Feili, Dong-Ling Xu & Gholamreza Jamali. (2019) Aggregate production planning under uncertainty: a comprehensive literature survey and future research directions. The International Journal of Advanced Manufacturing Technology 102:1-4, pages 159-181.
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Sasan Khalifehzadeh, M.B. Fakhrzad, Yahia Zare Mehrjerdi & Hasan Hosseini_Nasab. (2019) Two effective metaheuristic algorithms for solving a stochastic optimization model of a multi-echelon supply chain. Applied Soft Computing 76, pages 545-563.
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Aboozar Jamalnia, Jian-Bo Yang, Dong-Ling Xu, Ardalan Feili & Gholamreza Jamali. (2019) Evaluating the performance of aggregate production planning strategies under uncertainty in soft drink industry. Journal of Manufacturing Systems 50, pages 146-162.
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Shan Lu, Hongye Su, Charlotta Johnsson, Hanshan Shao & Lei Xie. (2015) A chance constrained programming approach for multi-product multi-stage integrated production planning under internal and external uncertainties. A chance constrained programming approach for multi-product multi-stage integrated production planning under internal and external uncertainties.
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Harresh Kasivisvanathan, Aristotle T. Ubando, Denny K. S. Ng & Raymond R. Tan. (2014) Robust Optimization for Process Synthesis and Design of Multifunctional Energy Systems with Uncertainties. Industrial & Engineering Chemistry Research 53:8, pages 3196-3209.
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Andreas WibowoBernd Kochendoerfer. (2011) Selecting BOT/PPP Infrastructure Projects for Government Guarantee Portfolio under Conditions of Budget and Risk in the Indonesian Context. Journal of Construction Engineering and Management 137:7, pages 512-522.
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Carlos Gomes da Silva, José Figueira, João Lisboa & Samir Barman. (2006) An interactive decision support system for an aggregate production planning model based on multiple criteria mixed integer linear programming. Omega 34:2, pages 167-177.
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Zhao Yong-quan, Lu Li-bin & Fang Shu-fen. (2006) Stochastic Linear Optimization for Modeling Uncertainty in Aggregate Production Planning. Stochastic Linear Optimization for Modeling Uncertainty in Aggregate Production Planning.
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