IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/65264.html
   My bibliography  Save this paper

Optimizing inventory and sales decisions in a two-stage supply chain with imperfect quality products and backorders

Author

Listed:
  • Rad, M. A.
  • Khoshalhan, F.
  • Glock, C. H.

Abstract

No abstract is available for this item.

Suggested Citation

  • Rad, M. A. & Khoshalhan, F. & Glock, C. H., 2014. "Optimizing inventory and sales decisions in a two-stage supply chain with imperfect quality products and backorders," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65264, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:65264
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/65264/
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360835214001491#
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Taleizadeh, Ata Allah & Khanbaglo, Mahboobeh Perak Sari & Cárdenas-Barrón, Leopoldo Eduardo, 2016. "An EOQ inventory model with partial backordering and reparation of imperfect products," International Journal of Production Economics, Elsevier, vol. 182(C), pages 418-434.
    2. Almaraj, Ismail I. & Trafalis, Theodore B., 2019. "An integrated multi-echelon robust closed- loop supply chain under imperfect quality production," International Journal of Production Economics, Elsevier, vol. 218(C), pages 212-227.
    3. Biswajit Sarkar & Waqas Ahmed & Seok-Beom Choi & Muhammad Tayyab, 2018. "Sustainable Inventory Management for Environmental Impact through Partial Backordering and Multi-Trade-Credit-Period," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
    4. Biswajit Sarkar & Bikash Koli Dey & Mitali Sarkar & Ali AlArjani, 2021. "A Sustainable Online-to-Offline (O2O) Retailing Strategy for a Supply Chain Management under Controllable Lead Time and Variable Demand," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
    5. Jindai Zhang & Jinlou Zhao, 2022. "Prediction-Driven Sequential Optimization for Refined Oil Production-Sales-Stock Decision-Making," Energies, MDPI, vol. 15(12), pages 1-19, June.
    6. Mohammed Alkahtani & Lofti Hidri & Mehdi Mrad, 2023. "Multi-Stage Production and Process Outsourcing in Automobile-Part Supply Chain Considering a Carbon Tax Strategy Using Sequential Quadratic Optimization Technique," Mathematics, MDPI, vol. 11(5), pages 1-23, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dar:wpaper:65264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.