[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v29y2018i2p241-269.html
   My bibliography  Save this article

A collaborative inventory model for vendor-buyer system with stochastic demand, defective items and carbon emission cost

Author

Listed:
  • Wakhid Ahmad Jauhari
Abstract
This paper develops a joint economic lot-sizing problem (JELP) involving of a vendor and a buyer under defective products. The vendor's production process is assumed to be imperfect, hence the lot delivered to the buyer may contain a certain number of imperfect products with known probability density function. The carbon emissions are considered in the model and are calculated from both transportation and production activities. The model also considers a situation in which the vendor has an opportunity to adjust the production rate. The objective of the model is to minimise total cost by simultaneously determining the shipment size, number of deliveries, production rate and safety factor. An iterative procedure is suggested for solving the model. Numerical examples are used to illustrate the application of the model.

Suggested Citation

  • Wakhid Ahmad Jauhari, 2018. "A collaborative inventory model for vendor-buyer system with stochastic demand, defective items and carbon emission cost," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 29(2), pages 241-269.
  • Handle: RePEc:ids:ijlsma:v:29:y:2018:i:2:p:241-269
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=89173
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Basim S. O. Alsaedi & Marwan H. Ahelali, 2024. "A Sustainable Supply Chain Model with Low Carbon Emissions for Deteriorating Imperfect-Quality Items under Learning Fuzzy Theory," Mathematics, MDPI, vol. 12(8), pages 1-38, April.
    2. Yosef Daryanto & Hui Ming Wee & Gede Agus Widyadana, 2019. "Low Carbon Supply Chain Coordination for Imperfect Quality Deteriorating Items," Mathematics, MDPI, vol. 7(3), pages 1-24, March.
    3. Dipak Barman & Gour Chandra Mahata & Barun Das, 2021. "Advance payment based vendor–buyer production inventory model with stochastic lead time and continuous review policy," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 1217-1237, December.
    4. Dwi Iryaning Handayani & Ilyas Masudin & Ahmad Rusdiansyah & Judi Suharsono, 2021. "Production-Distribution Model Considering Traceability and Carbon Emission: A Case Study of the Indonesian Canned Fish Food Industry," Logistics, MDPI, vol. 5(3), pages 1-21, September.
    5. Glock, Christoph H. & Grosse, Eric H., 2021. "The impact of controllable production rates on the performance of inventory systems: A systematic review of the literature," European Journal of Operational Research, Elsevier, vol. 288(3), pages 703-720.

    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:ids:ijlsma:v:29:y:2018:i:2:p:241-269. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=134 .

    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.