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Possibility and necessity constraints and their defuzzification--A multi-item production-inventory scenario via optimal control theory

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  • Maity, K.
  • Maiti, M.

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  • Maity, K. & Maiti, M., 2007. "Possibility and necessity constraints and their defuzzification--A multi-item production-inventory scenario via optimal control theory," European Journal of Operational Research, Elsevier, vol. 177(2), pages 882-896, March.
    • Handle: RePEc:eee:ejores:v:177:y:2007:i:2:p:882-896
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    References listed on IDEAS

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    1. Goyal, S. K. & Giri, B. C., 2001. "Recent trends in modeling of deteriorating inventory," European Journal of Operational Research, Elsevier, vol. 134(1), pages 1-16, October.
    2. Inuiguchi, Masahiro & Sakawa, Masatoshi & Kume, Yasufumi, 1994. "The usefulness of possibilistic programming in production planning problems," International Journal of Production Economics, Elsevier, vol. 33(1-3), pages 45-52, January.
    3. Salameh, M. K. & Jaber, M. Y., 2000. "Economic production quantity model for items with imperfect quality," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 59-64, March.
    4. Goyal, Suresh Kumar & Cardenas-Barron, Leopoldo Eduardo, 2002. "Note on: Economic production quantity model for items with imperfect quality - a practical approach," International Journal of Production Economics, Elsevier, vol. 77(1), pages 85-87, May.
    5. Evan L. Porteus, 1986. "Optimal Lot Sizing, Process Quality Improvement and Setup Cost Reduction," Operations Research, INFORMS, vol. 34(1), pages 137-144, February.
    6. Hariga, Moncer A. & Benkherouf, Lakdere, 1994. "Optimal and heuristic inventory replenishment models for deteriorating items with exponential time-varying demand," European Journal of Operational Research, Elsevier, vol. 79(1), pages 123-137, November.
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    Cited by:

    1. Ghanbarzadeh-Shams, M. & Ghasemy Yaghin, R. & Sadeghi, A.H., 2022. "A hybrid fuzzy multi-objective model for carpet production planning with reverse logistics under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    2. Kabak, Özgür & Ülengin, Füsun, 2011. "Possibilistic linear-programming approach for supply chain networking decisions," European Journal of Operational Research, Elsevier, vol. 209(3), pages 253-264, March.
    3. Panda, D. & Kar, S. & Maity, K. & Maiti, M., 2008. "A single period inventory model with imperfect production and stochastic demand under chance and imprecise constraints," European Journal of Operational Research, Elsevier, vol. 188(1), pages 121-139, July.
    4. Raghu Nandan Giri & Shyamal Kumar Mondal & Manoranjan Maiti, 2021. "Analysis of strategies for substitutable and complementary products in a two-levels fuzzy supply chain system," Operational Research, Springer, vol. 21(1), pages 485-524, March.
    5. Xu, Ye & Tan, Junyuan & Wang, Xu & Li, Wei & He, Xing & Hu, Xiaoguang & Fan, Yurui, 2022. "Synergetic management of water-energy-food nexus system and GHG emissions under multiple uncertainties: An inexact fractional fuzzy chance constraint programming method," Agricultural Water Management, Elsevier, vol. 262(C).
    6. Totan Garai & Dipankar Chakraborty & Tapan Kumar Roy, 2016. "A multi-item periodic review probabilistic fuzzy inventory model with possibility and necessity constraints," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(3), pages 175-189.
    7. Gour Chandra Mahata, 2017. "A production-inventory model with imperfect production process and partial backlogging under learning considerations in fuzzy random environments," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 883-897, April.

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