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The space of solution alternatives in the optimal lotsizing problem for general assembly systems applying MRP theory

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  • Grubbström, Robert W.
  • Tang, Ou

Abstract

MRP Theory combines the use of Input–Output Analysis and Laplace transforms, enabling the development of a theoretical background for multi-level, multi-stage production–inventory systems together with their economic evaluation, in particular applying the Net Present Value principle (NPV).

Suggested Citation

  • Grubbström, Robert W. & Tang, Ou, 2012. "The space of solution alternatives in the optimal lotsizing problem for general assembly systems applying MRP theory," International Journal of Production Economics, Elsevier, vol. 140(2), pages 765-777.
    • Handle: RePEc:eee:proeco:v:140:y:2012:i:2:p:765-777
    DOI: 10.1016/j.ijpe.2011.01.012
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    2. Grubbstrom, Robert W. & Tang, Ou, 2000. "Modelling rescheduling activities in a multi-period production-inventory system," International Journal of Production Economics, Elsevier, vol. 68(2), pages 123-135, November.
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    15. Horvat, Liljana & Bogataj, Ludvik, 1999. "A market game with the characteristic function according to the MRP and input-output analysis model," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 281-288, March.
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    Cited by:

    1. Germán Herrera Vidal & Danilo Abril Hernandez & Edgar Fernando Eslava & Jairo R. Coronado-Hernández & Samir F. Umaña Ibáñez, 2024. "Mathematical modelling of purchasing optimization for an MRP system with containerization constraints," OPSEARCH, Springer;Operational Research Society of India, vol. 61(3), pages 1108-1130, September.
    2. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Reprint of “Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 113-125.
    3. Grubbström, Robert W., 2014. "Cumulative staircase considerations for dynamic lotsizing when backlogging is allowed," International Journal of Production Economics, Elsevier, vol. 157(C), pages 201-211.
    4. Alireza Pooya & Morteza Pakdaman, 2019. "Optimal control model for finite capacity continuous MRP with deteriorating items," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2203-2215, June.
    5. Grubbström, Robert W., 2014. "Dynamic lotsizing with a finite production rate," International Journal of Production Economics, Elsevier, vol. 149(C), pages 68-79.
    6. Sagawa, Juliana Keiko & Mušič, Gašper, 2019. "Towards the use of bond graphs for manufacturing control: Design of controllers," International Journal of Production Economics, Elsevier, vol. 214(C), pages 53-72.
    7. Bogataj, David & Bogataj, Marija & Hudoklin, Domen, 2017. "Mitigating risks of perishable products in the cyber-physical systems based on the extended MRP model," International Journal of Production Economics, Elsevier, vol. 193(C), pages 51-62.

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