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International Journal of Production Research Volume 41, 2003 - Issue 14
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Original Articles

An investigation on selection of simplified aggregate production planning strategies using MADM approaches

Yan-Kwang Chen Department of Business Administration, Ling Tung College, Taichung, Taiwan, (408), Republic of China
&
Hung-Chang Liao Department of Health Services Administration, Chung-Shan Medical University, Taichung, Taiwan, (402), Republic of China
Pages 3359-3374 | Published online: 14 Nov 2010

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Abouzar Jamalnia & Ardalan Feili. (2013) A simulation testing and analysis of aggregate production planning strategies. Production Planning & Control 24:6, pages 423-448.
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Bin Li, Hongwei Wang, Jianbo Yang, Min Guo & Chao Qi. (2013) A belief-rule-based inference method for aggregate production planning under uncertainty. International Journal of Production Research 51:1, pages 83-105.
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Iraj Mahdavi, Kaveh Taghizadeh, Morteza Bagherpour & Maghsud Solimanpur. (2012) Modelling of multi-period multi-product production planning considering production routes. International Journal of Production Research 50:6, pages 1749-1766.
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K. Taghizadeh, M. Bagherpour & I. Mahdavi. (2011) An Interactive Fuzzy Goal Programming Approach for Multi-period Multi-product Production Planning Problem. Fuzzy Information and Engineering 3:4, pages 393-410.
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Zhuo Liu, David Kim Huat Chua & Ker-Wei Yeoh. (2011) Aggregate production planning for shipbuilding with variation-inventory trade-offs. International Journal of Production Research 49:20, pages 6249-6272.
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J.P. Bourrières & T. Lecompte-Alix. (2010) A linear model for production management—optimal solving policies. International Journal of Production Research 48:18, pages 5415-5432.
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R. Venkata Rao & B.K. Patel. (2010) Decision making in the manufacturing environment using an improved PROMETHEE method. International Journal of Production Research 48:16, pages 4665-4682.
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Articles from other publishers (20)

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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Teg Alam. (2023) Sustainable Multi-Objective Production Planning for the Refrigerating and Air Conditioning Industry in Saudi Arabia: A Preemptive Goal Programming Approach. Sustainability 15:4, pages 3346.
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José Emmanuel Gómez-Rocha & Eva Selene Hernández-Gress. (2022) A Stochastic Programming Model for Multi-Product Aggregate Production Planning Using Valid Inequalities. Applied Sciences 12:19, pages 9903.
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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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El-Awady Attia, Ashraf Megahed, Ali AlArjani, Ahmed Elbetar & Philippe Duquenne. (2022) Aggregate production planning considering organizational learning with case based analysis. Ain Shams Engineering Journal 13:2, pages 101575.
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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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I Rizkya, R M Sari, K Syahputri & I Siregar. (2021) The methodology of aggregate planning on lamp production based on transportation model. IOP Conference Series: Materials Science and Engineering 1122:1, pages 012068.
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Rajeev Rathi, Chander Prakash, Sunpreet Singh, Grzegorz Krolczyk & Catalin I. Pruncu. (2020) Measurement and analysis of wind energy potential using fuzzy based hybrid MADM approach. Energy Reports 6, pages 228-237.
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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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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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Erfan Babaee Tirkolaee, Alireza Goli & Gerhard-Wilhelm Weber. 2019. Advances in Manufacturing II. Advances in Manufacturing II 81 96 .
Aboozar Jamalnia, Jian-Bo Yang, Dong-Ling Xu & Ardalan Feili. (2017) Novel decision model based on mixed chase and level strategy for aggregate production planning under uncertainty: Case study in beverage industry. Computers & Industrial Engineering 114, pages 54-68.
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Rajeev Rathi, Dinesh Khanduja & S. K. Sharma. (2016) Efficacy of fuzzy MADM approach in Six Sigma analysis phase in automotive sector. Journal of Industrial Engineering International 12:3, pages 377-387.
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Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo & Seiki Akama. (2015) Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids. Journal of Advanced Computational Intelligence and Intelligent Informatics 19:1, pages 43-50.
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Donya Rahmani, Reza Ramezanian, Parviz Fattahi & Mahdi Heydari. (2013) A robust optimization model for multi-product two-stage capacitated production planning under uncertainty. Applied Mathematical Modelling 37:20-21, pages 8957-8971.
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Tetsuya Murai, Sadaaki Miyamoto, Masahiro Inuiguchi, Yasuo Kudo & Seiki Akama. 2013. Modeling Decisions for Artificial Intelligence. Modeling Decisions for Artificial Intelligence 248 259 .
Charles Sung & Christos T. Maravelias. 2010. Process Systems Engineering. Process Systems Engineering 269 284 .
Charles Sung & Christos T. Maravelias. 2007. Process Systems Engineering. Process Systems Engineering 269 284 .
Geoff Buxey. (2005) Aggregate planning for seasonal demand: reconciling theory with practice. International Journal of Operations & Production Management 25:11, pages 1083-1100.
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