IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/127035.html

A Decision-Support Model for Managing Outbound Logistics: Forecasting, Simulation, and Real-Time Operational Control

Author

Listed:
  • Magaletti, Nicola
  • Caponio, Giancarlo
  • Amodio, Angelo
  • Notarnicola, Valeria
  • di Molfetta, Mauro
  • Leogrande, Angelo

Abstract

This article presents a decision support system developed as part of a Research and Development project undertaken by La Logistica srl, a third-party logistics company specializing in the storage and distribution of hydro-sanitary products. The approach is methodological and focuses on the comprehensive analysis of a case study related to freight exit processes with the aim of defining and implementing a software application to support the short-term management of picking and loading operations for product delivery. The developed decision support system integrates past data series analysis and projections, time series simulations, What-If analysis capabilities, and real-time monitoring within a single computational paradigm to anticipate peak points in the freight exit process. The developed decision support system is designed to accumulate and structure operational data from the warehouse management system software, to analyse the periodic rhythms of orders received to generate graphical projections of expected peak points and working hours based on the analysis of past data series and is able to dynamically review projections via real-time monitoring capabilities to adapt projections to actual progress made at any given time. Additionally, What-If analytics capabilities facilitate management's use of various workforce combinations to determine the feasibility of the process at any time, while identifying potential bottlenecks before they occur. Test results conducted with the corporate team indicate improvements in workload visibility and readiness for associated short-term programming strategies, while preventing operational disruptions through advance alerts on operational overload points.

Suggested Citation

  • Magaletti, Nicola & Caponio, Giancarlo & Amodio, Angelo & Notarnicola, Valeria & di Molfetta, Mauro & Leogrande, Angelo, 2025. "A Decision-Support Model for Managing Outbound Logistics: Forecasting, Simulation, and Real-Time Operational Control," MPRA Paper 127035, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:127035
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/127035/1/MPRA_paper_127035.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Mariusz Kmiecik, 2022. "Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL)," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    2. Lennart M. Steinbacher & Tim Düe & Marius Veigt & Michael Freitag, 2024. "Automatic model generation for material flow simulations of Third-Party Logistics," Journal of Intelligent Manufacturing, Springer, vol. 35(8), pages 3857-3874, December.
    3. Lihle N. Tikwayo & Tebello N. D. Mathaba, 2023. "Applications of Industry 4.0 Technologies in Warehouse Management: A Systematic Literature Review," Logistics, MDPI, vol. 7(2), pages 1-19, April.
    4. Mohammed Alnahhal & Mosab I. Tabash & Diane Ahrens, 2021. "Optimal selection of third-party logistics providers using integer programming: a case study of a furniture company storage and distribution," Annals of Operations Research, Springer, vol. 302(1), pages 1-22, July.
    5. Maria Giuffrida & Riccardo Mangiaracina & Umar Burki, 2021. "Cloud-Based Booking Platforms in Warehouse Operations," Sustainability, MDPI, vol. 13(20), pages 1-16, October.
    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. Mohammed Alnahhal & Bashir Salah & Mohammed Ruzayqat, 2022. "An Efficient Approach to Investigate the Tradeoff between Double Handling and Needed Capacity in Automated Distribution Centers," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    2. Martin Straka, 2021. "Design of a Computer-Aided Location Expert System Based on a Mathematical Approach," Mathematics, MDPI, vol. 9(9), pages 1-25, May.
    3. Thi Kim Lien Nguyen & Thi Lan Huong Nguyen & Tri Long Ngo & Bang An Hoang & Hong Huyen Le & Thi Thanh Hong Tran, 2023. "An Integrated Approach of Fuzzy Analytic Hierarchy Process and Super Slack-Based Measure for the Logistics Industry in Vietnam," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    4. Aloini, Davide & Benevento, Elisabetta & Dulmin, Riccardo & Guerrazzi, Emanuele & Mininno, Valeria, 2025. "Unlocking Real-Time Decision-Making in Warehouses: A machine learning-based forecasting and alerting system for cycle time prediction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    5. Mohd Radzi Mohd Daud & Mohd Hafiz Zulfakar, 2024. "Optimization of Warehouse Operations for Upstream Service Companies in the Oil & Gas Industry: A Case Study of XYZ Company," Information Management and Business Review, AMH International, vol. 16(3), pages 424-439.
    6. Adedotun Joseph Adenigbo & Joash Mageto & Rose Luke, 2023. "Adopting Technological Innovations in the Air Cargo Logistics Industry in South Africa," Logistics, MDPI, vol. 7(4), pages 1-16, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:pra:mprapa:127035. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.