IDEAS home Printed from https://ideas.repec.org/a/beo/journl/v58y2013i198p137-164.html
   My bibliography  Save this article

Optimization Models Of The Supply Of Power Structures’ Organizational Units With Centralized Procurement

Author

Listed:
  • Volodymyr Sysoiev

Abstract

Management of the state power structures’ organizational units for materiel and technical support requires the use of effective tools for supporting decisions, due to the complexity, interdependence, and dynamism of supply in the market economy. The corporate nature of power structures is of particular interest to centralized procurement management, as it provides significant advantages through coordination, eliminating duplication, and economy of scale. This article presents optimization models of the supply of state power structures’ organizational units with centralized procurement, for different levels of simulated materiel and technical support processes. The models allow us to find the most profitable options for state power structures’ organizational supply units in a centre-oriented logistics system in conditions of the changing needs, volume of allocated funds, and logistics costs that accompany the process of supply, by maximizing the provision level of organizational units with necessary material and technical resources for the entire planning period of supply by minimizing the total logistical costs, taking into account the diverse nature and the different priorities of organizational units and material and technical resources.

Suggested Citation

  • Volodymyr Sysoiev, 2013. "Optimization Models Of The Supply Of Power Structures’ Organizational Units With Centralized Procurement," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(198), pages 137-164, July - Se.
    • Handle: RePEc:beo:journl:v:58:y:2013:i:198:p:137-164
    as

    Download full text from publisher

    File URL: http://www.ekof.bg.ac.rs/wp-content/uploads/2014/06/273.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Xiuhui & Wang, Qinan, 2007. "Coordination mechanisms of supply chain systems," European Journal of Operational Research, Elsevier, vol. 179(1), pages 1-16, May.
    2. Sarmah, S.P. & Acharya, D. & Goyal, S.K., 2006. "Buyer vendor coordination models in supply chain management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 1-15, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Janosch Brinker & Hans-Dietrich Haasis, 2022. "Power in the Context of SCM and Supply Chain Digitalization: An Overview from a Literature Review," Logistics, MDPI, vol. 6(2), pages 1-19, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Halati, Abolhassan & He, Yuanjie, 2010. "Analysis of supply chains with quantity based fixed incentives," European Journal of Operational Research, Elsevier, vol. 202(1), pages 214-222, April.
    2. Darwish, M.A. & Odah, O.M., 2010. "Vendor managed inventory model for single-vendor multi-retailer supply chains," European Journal of Operational Research, Elsevier, vol. 204(3), pages 473-484, August.
    3. Faranak Emtehani & Nasim Nahavandi & Farimah Mokhatab Rafiei, 2021. "A joint inventory–finance model for coordinating a capital-constrained supply chain with financing limitations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-39, December.
    4. Kovács, András & Egri, Péter & Kis, Tamás & Váncza, József, 2013. "Inventory control in supply chains: Alternative approaches to a two-stage lot-sizing problem," International Journal of Production Economics, Elsevier, vol. 143(2), pages 385-394.
    5. Khouja, Moutaz & Rajagopalan, Hari K. & Zhou, Jing, 2013. "Analysis of the effectiveness of manufacturer-sponsored retailer gift cards in supply chains," European Journal of Operational Research, Elsevier, vol. 230(2), pages 333-347.
    6. Beullens, Patrick, 2014. "Revisiting foundations in lot sizing—Connections between Harris, Crowther, Monahan, and Clark," International Journal of Production Economics, Elsevier, vol. 155(C), pages 68-81.
    7. Chan, Chi Kin & Lee, Y.C.E., 2012. "A co-ordination model combining incentive scheme and co-ordination policy for a single-vendor–multi-buyer supply chain," International Journal of Production Economics, Elsevier, vol. 135(1), pages 136-143.
    8. Yang, Yu-Chen & Cheng, Hsing Kenneth & Ding, Chao & Li, Shengli, 2017. "To join or not to join group purchasing organization: A vendor's decision," European Journal of Operational Research, Elsevier, vol. 258(2), pages 581-589.
    9. Lee, Sangjoon & Sheu, Jiuh-Biing & Yoo, Seung Ho, 2024. "Multi-period quality and pricing decision in production-focused and market-focused supply chains: How to manage a long-term contractual relationship," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    10. Siao-Leu Phouratsamay & Safia Kedad-Sidhoum & Fanny Pascual, 2021. "Coordination of a two-level supply chain with contracts," 4OR, Springer, vol. 19(2), pages 235-264, June.
    11. Yan, Xiaoming & Zhang, Minghui & Liu, Ke, 2010. "A note on coordination in decentralized assembly systems with uncertain component yields," European Journal of Operational Research, Elsevier, vol. 205(2), pages 469-478, September.
    12. Beatriz Andres & Vicente Javier Blanes, 2020. "A Negotiation Approach to Support the Strategies Alignment Process in Collaborative Networks," Sustainability, MDPI, vol. 12(7), pages 1-30, April.
    13. Ventura, José A. & Bunn, Kevin A. & Venegas, Bárbara B. & Duan, Lisha, 2021. "A coordination mechanism for supplier selection and order quantity allocation with price-sensitive demand and finite production rates," International Journal of Production Economics, Elsevier, vol. 233(C).
    14. Bylka, StanisLaw, 2011. "Non-cooperative strategies for production and shipment lot sizing in one vendor-multi-buyer system," International Journal of Production Economics, Elsevier, vol. 131(1), pages 372-382, May.
    15. Mutlu, Fatih & Çetinkaya, Sıla, 2020. "Supplier–carrier–buyer channels: Contractual pricing for a carrier serving a supplier–buyer partnership," International Journal of Production Economics, Elsevier, vol. 230(C).
    16. Preil, Deniz & Krapp, Michael, 2022. "Bandit-based inventory optimisation: Reinforcement learning in multi-echelon supply chains," International Journal of Production Economics, Elsevier, vol. 252(C).
    17. Cao, Zong-Hong & Zhou, Yong-Wu & Zhao, Ju & Li, Chang-Wen, 2015. "Entry mode selection and its impact on an incumbent supply chain coordination," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 1-13.
    18. Sher, Mikhail M. & Kim, Seung-Lae & Banerjee, Avijit & Paz, Michael T., 2018. "A supply chain coordination mechanism for common items subject to failure in the electronics, defense, and medical industries," International Journal of Production Economics, Elsevier, vol. 203(C), pages 164-173.
    19. Zare, Marjan & Esmaeili, Maryam & He, Yuanjie, 2019. "Implications of risk-sharing strategies on supply chains with multiple retailers and under random yield," International Journal of Production Economics, Elsevier, vol. 216(C), pages 413-424.
    20. Marjia Haque & Sanjoy Kumar Paul & Ruhul Sarker & Daryl Essam, 2022. "A combined approach for modeling multi-echelon multi-period decentralized supply chain," Annals of Operations Research, Springer, vol. 315(2), pages 1665-1702, August.

    More about this item

    Keywords

    supply; logistics processes; model; optimization; centralized procurement; organizational units of the power structures;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • H44 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Goods: Mixed Markets
    • H57 - Public Economics - - National Government Expenditures and Related Policies - - - Procurement

    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:beo:journl:v:58:y:2013:i:198:p:137-164. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Goran Petrić (email available below). General contact details of provider: https://edirc.repec.org/data/efbeoyu.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.