IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i7p3177-d1627340.html
   My bibliography  Save this article

Development of a Classification Model for Value-Added and Non-Value-Added Operations in Retail Logistics: Insights from a Supermarket Case Study

Author

Listed:
  • Helena Macedo

    (Algoritmi Centre, Department of Production and Systems, University of Minho, 4800-058 Guimarães, Portugal)

  • Larissa Tomaz

    (Algoritmi Centre, Department of Production and Systems, University of Minho, 4800-058 Guimarães, Portugal)

  • Levi Guimarães

    (Algoritmi Centre, Department of Production and Systems, University of Minho, 4800-058 Guimarães, Portugal)

  • Luís Cerqueira-Pinto

    (Algoritmi Centre, Department of Production and Systems, University of Minho, 4800-058 Guimarães, Portugal)

  • José Carlos Sá

    (LAETA/INEGI, ISEP, Polytechnic of Porto, rua Dr. António Bernardino de Almeida, 4249-015 Porto, Portugal)

  • José Dinis-Carvalho

    (Algoritmi Centre, Department of Production and Systems, University of Minho, 4800-058 Guimarães, Portugal)

Abstract

In the context of retail logistics, achieving operational efficiency and cost reductions requires distinguishing between value-added (VA) and non-value-added (NVA) activities. VA activities are those that bring products closer to their correct position on the shelf, with their price updated, guaranteeing their availability to customers. All other activities are considered as NVA activities. NVA activities include activities such as unnecessary handling, waiting, excessive movement, and stock mismanagement. This study is based on an on-site experience conducted in a Modelo supermarket, part of the Sonae group and one of Portugal’s largest retailers, which reinforces the practical significance of its findings. By analyzing various aspects of internal retail logistics, this research challenges traditional definitions of value and waste—typically applied in manufacturing—and proposes a new approach tailored to retail operations. Six specific types of NVA activities were identified in this context. Applying this classification model, a multi-moment analysis was conducted to quantify the labor utilization in VA tasks, offering insights into process inefficiencies. The proposed model provides a systematic framework for categorizing retail logistics operations, supporting decision-makers in streamlining workflows, improving productivity, and optimizing resource allocation. Beyond academic discourse, this model serves as a practical tool for retailers aiming to enhance their internal logistics efficiency.

Suggested Citation

  • Helena Macedo & Larissa Tomaz & Levi Guimarães & Luís Cerqueira-Pinto & José Carlos Sá & José Dinis-Carvalho, 2025. "Development of a Classification Model for Value-Added and Non-Value-Added Operations in Retail Logistics: Insights from a Supermarket Case Study," Sustainability, MDPI, vol. 17(7), pages 1-15, April.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:3177-:d:1627340
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/7/3177/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/7/3177/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Radojko LUKIC, 2012. "The Effects of Application of Lean Concept in Retail," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 88-98, June.
    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. Răzvan Daniel ZOTA & Yasser AL HADAD, 2018. "Inventory Management Using Cross Prediction," Book chapters-LUMEN Proceedings, in: Veaceslav MANOLACHI & Cristian Mihail RUS & Svetlana RUSNAC (ed.), New Approaches in Social and Humanistic Sciences, edition 1, volume 3, chapter 51, pages 575-585, Editura Lumen.
    2. Pedro Alexandre Marques & Diana Jorge & João Reis, 2022. "Using Lean to Improve Operational Performance in a Retail Store and E-Commerce Service: A Portuguese Case Study," Sustainability, MDPI, vol. 14(10), pages 1-19, May.

    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:gam:jsusta:v:17:y:2025:i:7:p:3177-:d:1627340. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.