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Multiproduct production planning in the presence of work-force learning

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  • Mazzola, Joseph B.
  • Neebe, Alan W.
  • Rump, Christopher M.

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  • Mazzola, Joseph B. & Neebe, Alan W. & Rump, Christopher M., 1998. "Multiproduct production planning in the presence of work-force learning," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 336-356, April.
    • Handle: RePEc:eee:ejores:v:106:y:1998:i:2-3:p:336-356
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    1. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    2. Eginhard J. Muth & Klaus Spremann, 1983. "Note---Learning Effects in Economic Lot Sizing," Management Science, INFORMS, vol. 29(2), pages 264-269, February.
    3. Gerchak, Yigal & Parlar, Mahmut & Sengupta, S. Sankar, 1990. "On manpower planning in the presence of learning," Engineering Costs and Production Economics, Elsevier, vol. 20(3), pages 295-303, December.
    4. Joseph B. Mazzola, 1989. "Generalized Assignment with Nonlinear Capacity Interaction," Management Science, INFORMS, vol. 35(8), pages 923-941, August.
    5. Ronald J. Ebert, 1976. "Aggregate Planning with Learning Curve Productivity," Management Science, INFORMS, vol. 23(2), pages 171-182, October.
    6. Kirk R. Karwan & Joseph B. Mazzola & Richard C. Morey, 1988. "Production lot sizing under setup and worker learning," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(2), pages 159-175, April.
    7. Maqbool Dada & K. N. Srikanth, 1990. "Monopolistic Pricing and the Learning Curve: An Algorithmic Approach," Operations Research, INFORMS, vol. 38(4), pages 656-666, August.
    8. Joseph B. Mazzola & Kevin F. McCardle, 1996. "A Bayesian Approach to Managing Learning-Curve Uncertainty," Management Science, INFORMS, vol. 42(5), pages 680-692, May.
    9. E. C. Keachie & Robert J. Fontana, 1966. "Effects of Learning on Optimal Lot Size," Management Science, INFORMS, vol. 13(2), pages 102-108, October.
    10. Joseph B. Mazzola & Kevin F. McCardle, 1997. "The Stochastic Learning Curve: Optimal Production in the Presence of Learning-Curve Uncertainty," Operations Research, INFORMS, vol. 45(3), pages 440-450, June.
    11. Michal Tzur, 1996. "Learning in Setups: Analysis, Minimal Forecast Horizons, and Algorithms," Management Science, INFORMS, vol. 42(12), pages 1732-1743, December.
    12. Suresh Chand & Suresh P. Sethi, 1990. "A Dynamic Lot Sizing Model with Learning in Setups," Operations Research, INFORMS, vol. 38(4), pages 644-655, August.
    13. Gary R. Reeves & James R. Sweigart, 1981. "Product-Mix Models When Learning Effects are Present," Management Science, INFORMS, vol. 27(2), pages 204-212, February.
    14. John F. Muth, 1986. "Search Theory and the Manufacturing Progress Function," Management Science, INFORMS, vol. 32(8), pages 948-962, August.
    15. Egon Balas, 1965. "An Additive Algorithm for Solving Linear Programs with Zero-One Variables," Operations Research, INFORMS, vol. 13(4), pages 517-546, August.
    16. Randall S. Hiller & Jeremy F. Shapiro, 1986. "Optimal Capacity Expansion Planning When There are Learning Effects," Management Science, INFORMS, vol. 32(9), pages 1153-1163, September.
    17. Gary R. Reeves & James R. Sweigart, 1982. "Multiperiod Resource Allocation with Variable Technology," Management Science, INFORMS, vol. 28(12), pages 1441-1449, December.
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    Cited by:

    1. Manda, A.B. & Uzsoy, Reha, 2021. "Managing product transitions with learning and congestion effects," International Journal of Production Economics, Elsevier, vol. 239(C).
    2. Viana, Ana & Pinho de Sousa, Jorge, 2000. "Using metaheuristics in multiobjective resource constrained project scheduling," European Journal of Operational Research, Elsevier, vol. 120(2), pages 359-374, January.
    3. S C H Leung & Y Wu & K K Lai, 2006. "A stochastic programming approach for multi-site aggregate production planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(2), pages 123-132, February.
    4. Leung, Stephen C.H. & Tsang, Sally O.S. & Ng, W.L. & Wu, Yue, 2007. "A robust optimization model for multi-site production planning problem in an uncertain environment," European Journal of Operational Research, Elsevier, vol. 181(1), pages 224-238, August.
    5. Cavagnini, Rossana & Hewitt, Mike & Maggioni, Francesca, 2020. "Workforce production planning under uncertain learning rates," International Journal of Production Economics, Elsevier, vol. 225(C).
    6. Marco Trost & Thorsten Claus & Frank Herrmann, 2023. "Master Production Scheduling with Consideration of Utilization-Dependent Exhaustion and Capacity Load," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    7. Mirzapour Al-e-hashem, S.M.J. & Malekly, H. & Aryanezhad, M.B., 2011. "A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty," International Journal of Production Economics, Elsevier, vol. 134(1), pages 28-42, November.
    8. Mirzapour Al-e-hashem, S.M.J. & Baboli, A. & Sazvar, Z., 2013. "A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions," European Journal of Operational Research, Elsevier, vol. 230(1), pages 26-41.

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