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International Journal of Production Research Volume 44, 2006 - Issue 15
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Original Articles

Optimizing production smoothing decisions via batch selection for mixed-model just-in-time manufacturing systems with arbitrary setup and processing times

Mesut Yavuz Research and Engineering Education Facility, University of Florida, FL, USA
,
Elif AKçali Supply Chain and Logistics Engineering (SCALE) Center, Department of Industrial and Systems Engineering, University of Florida, FL, USACorrespondence[email protected]
&
Süleyman Tüfekçi Department of Industrial and Systems Engineering, University of Florida, FL, USA
Pages 3061-3081 | Received 01 Aug 2006, Published online: 11 Feb 2011

Citations (13)

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Read on this site (5)

M. Karimi-Nasab & S.M.T. Fatemi Ghomi. (2012) Multi-objective production scheduling with controllable processing times and sequence-dependent setups for deteriorating items. International Journal of Production Research 50:24, pages 7378-7400.
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Monami Das Roy, Shib Sankar Sana & Kripasindhu Chaudhuri. (2012) An integrated producer–buyer relationship in the environment of EMQ and JIT production systems. International Journal of Production Research 50:19, pages 5597-5614.
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Patrick R. McMullen. (2010) JIT mixed-model sequencing with batching and setup considerations via search heuristics. International Journal of Production Research 48:22, pages 6559-6582.
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Mesut Yavuz & Suleyman Tufekci. (2007) Analysis and solution to the single-level batch production smoothing problem. International Journal of Production Research 45:17, pages 3893-3916.
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Mesut Yavuz & Elif Akçali. (2007) Production smoothing in just-in-time manufacturing systems: a review of the models and solution approaches. International Journal of Production Research 45:16, pages 3579-3597.
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Articles from other publishers (8)

Felix Kamhuber, Thomas Sobottka, Bernhard Heinzl, Jan Henjes & Wilfried Sihn. (2020) An efficient hybrid multi-criteria optimization approach for rolling production smoothing of a European food manufacturer. Computers & Industrial Engineering 147, pages 106620.
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Felix Kamhuber, Thomas Sobottka, Bernhard Heinzl & Wilfried Sihn. (2019) An Efficient Multi-Objective Hybrid Simheuristic Approach for Advanced Rolling Horizon Production Planning. An Efficient Multi-Objective Hybrid Simheuristic Approach for Advanced Rolling Horizon Production Planning.
K.P. Abdul Nazar & V. Madhusudanan Pillai. (2018) Mixed-model sequencing problem under capacity and machine idle time constraints in JIT production systems. Computers & Industrial Engineering 118, pages 226-236.
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M. Karimi-Nasab & M.B. Aryanezhad. (2011) A multi-objective production smoothing model with compressible operating times. Applied Mathematical Modelling 35:7, pages 3596-3610.
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Ayoegul Ozkavukcu & M. Bulent Durmusoglu. (2010) Production smoothing decisions with seasonal variation through value stream. Production smoothing decisions with seasonal variation through value stream.
Aysegul Yalcinkaya & M. Bulent Durmusoglu. (2009) Production smoothing decisions with seasonal variation through value stream management. Production smoothing decisions with seasonal variation through value stream management.
Nils Boysen, Malte Fliedner & Armin Scholl. (2009) Sequencing mixed-model assembly lines: Survey, classification and model critique. European Journal of Operational Research 192:2, pages 349-373.
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Wieslaw Kubiak & Mesut Yavuz. (2008) Just-in-Time Smoothing Through Batching. Manufacturing & Service Operations Management 10:3, pages 506-518.
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