IDEAS home Printed from https://ideas.repec.org/a/iaf/journl/y2021i2p116-123.html
   My bibliography  Save this article

Measuring Efficiency in Rationalizing the Allocation of Available Resources and the Efficiency of Logistic Processes

Author

Listed:
  • Robert Dmuchowski

    (Olsztyn University, Olsztyn, Poland)

Abstract

Enterprises must introduce various changes in their activities, for the purposes they pursue, structures and processes. Business adapts to the external environment that imposes restrictions, forces specific actions aimed at more rational use of resources. Business entities implement innovative ideas in the field of creating new products, manufacturing processes, organizational changes, improving the quality and efficiency of production or services. All these activities are extremely costly, but at the same time necessary for development or survival in a competitive market. Organizations in which the main management strategy is the concept of logistics management, in their activities focus on the improvement of logistics processes in such a way that the unit logistic costs are as low as possible. Measurement of the effectiveness of activities undertaken by economic entities is a standard procedure that allows for a rational allocation of available resources. High efficiency of activities justifies their further intensification, while low efficiency is a warning signal indicating their reduction or even discontinuation. The purpose of the article is to present the logistics system efficiency indicators that can be used to assess the benefits achieved by organizational entities as a result of optimizing logistics processes. The starting point for the considerations of the presented study is the assumption that the concept of logistics management is the main strategy of the company, and the optimization of logistics processes in the entire supply chain brings economic benefits - greater profitability of projects, and image benefits - better quality of products and services provided. The basic scientific inquiry, not only for the purposes of this thesis, but also the knowledge necessary for managers, is the measurement of this effectiveness.

Suggested Citation

  • Robert Dmuchowski, 2021. "Measuring Efficiency in Rationalizing the Allocation of Available Resources and the Efficiency of Logistic Processes," Oblik i finansi, Institute of Accounting and Finance, issue 2, pages 116-123, June.
  • Handle: RePEc:iaf:journl:y:2021:i:2:p:116-123
    DOI: 10.33146/2307-9878-2021-2(92)-116-123
    as

    Download full text from publisher

    File URL: http://www.afj.org.ua/pdf/836-ocinka-efektivnosti-racionalizacii-rozpodilu-dostupnih-resursiv-ta-efektivnosti-logistichnih-procesiv.pdf
    Download Restriction: no

    File URL: http://www.afj.org.ua/en/article/836/
    Download Restriction: no

    File URL: https://libkey.io/10.33146/2307-9878-2021-2(92)-116-123?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Franca, Rodrigo B. & Jones, Erick C. & Richards, Casey N. & Carlson, Jonathan P., 2010. "Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality," International Journal of Production Economics, Elsevier, vol. 127(2), pages 292-299, October.
    2. Veronika Fenyves & Zoltán Bács & Laura Karnai & Adrián Nagy & Tibor Tarnóczi, 2018. "Financial Performance Measurement of Hungarian Retail Food Companies," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(4), December.
    Full references (including those not matched with items on IDEAS)

    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. Scott, James & Ho, William & Dey, Prasanta K. & Talluri, Srinivas, 2015. "A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 226-237.
    2. Erick C. Jones, 2024. "Lithium Supply Chain Optimization: A Global Analysis of Critical Minerals for Batteries," Energies, MDPI, vol. 17(11), pages 1-31, May.
    3. Farahani, Reza Zanjirani & Rezapour, Shabnam & Drezner, Tammy & Fallah, Samira, 2014. "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, Elsevier, vol. 45(C), pages 92-118.
    4. Vahdani, Behnam & Mohammadi, M., 2015. "A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 67-87.
    5. Choi, Yunsik & Delise, Lisa A. & Lee, Brandon W. & Neely, Jerry, 2021. "Effective staffing of projects for reconciling conflict between cost efficiency and quality," International Journal of Production Economics, Elsevier, vol. 234(C).
    6. Ming Liu & Rongfan Liu & Zhanguo Zhu & Chengbin Chu & Xiaoyi Man, 2018. "A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    7. He, Jian & Alavifard, Farzad & Ivanov, Dmitry & Jahani, Hamed, 2019. "A real-option approach to mitigate disruption risk in the supply chain," Omega, Elsevier, vol. 88(C), pages 133-149.
    8. Daniel Arturo Olivares Vera & Elias Olivares-Benitez & Eleazar Puente Rivera & Mónica López-Campos & Pablo A. Miranda, 2018. "Combined Use of Mathematical Optimization and Design of Experiments for the Maximization of Profit in a Four-Echelon Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-25, April.
    9. Tsai, Shing Chih & Chen, Sin Ting, 2017. "A simulation-based multi-objective optimization framework: A case study on inventory management," Omega, Elsevier, vol. 70(C), pages 148-159.
    10. Ata Allah Taleizadeh, 2017. "Stochastic Multi-Objectives Supply Chain Optimization with Forecasting Partial Backordering Rate: A Novel Hybrid Method of Meta Goal Programming and Evolutionary Algorithms," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-28, August.
    11. Pournader, Mehrdokht & Kach, Andrew & Fahimnia, Behnam & Sarkis, Joseph, 2019. "Outsourcing performance quality assessment using data envelopment analytics," International Journal of Production Economics, Elsevier, vol. 207(C), pages 173-182.
    12. Xie, Gang & Wang, Shouyang & Lai, K.K., 2011. "Quality improvement in competing supply chains," International Journal of Production Economics, Elsevier, vol. 134(1), pages 262-270, November.
    13. Costantino, Nicola & Dotoli, Mariagrazia & Falagario, Marco & Fanti, Maria Pia & Mangini, Agostino Marcello, 2012. "A model for supply management of agile manufacturing supply chains," International Journal of Production Economics, Elsevier, vol. 135(1), pages 451-457.
    14. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    15. Jahani, Hamed & Abbasi, Babak & Alavifard, Farzad & Talluri, Srinivas, 2018. "Supply chain network redesign with demand and price uncertainty," International Journal of Production Economics, Elsevier, vol. 205(C), pages 287-312.
    16. Turan Paksoy & Eren Özceylan & Gerhard-Wilhelm Weber, 2013. "Profit oriented supply chain network optimization," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(2), pages 455-478, March.
    17. Vida, Viktoria & Szűcs, István, 2020. "Pork Production And Consumption Issues From The Perspective Of The Religion And The World’S Growing Population," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 14(1-2), June.
    18. Muhammad Imran & Muhammad Salman Habib & Amjad Hussain & Naveed Ahmed & Abdulrahman M. Al-Ahmari, 2020. "Inventory Routing Problem in Supply Chain of Perishable Products under Cost Uncertainty," Mathematics, MDPI, vol. 8(3), pages 1-29, March.
    19. Robert Dmuchowski, 2022. "Methodology of measuring the benefits of participation in business clusters ," GATR Journals jber220, Global Academy of Training and Research (GATR) Enterprise.
    20. Cardoso, Sónia R. & Barbosa-Póvoa, Ana Paula F.D. & Relvas, Susana, 2013. "Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 226(3), pages 436-451.

    More about this item

    Keywords

    logistic processes; competitiveness; efficiency; ratio analysis;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

    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:iaf:journl:y:2021:i:2:p:116-123. 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: Serhiy Ostapchuk (email available below). General contact details of provider: https://edirc.repec.org/data/iafkvua.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.