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A decision on the truckload and less-than-truckload problem: An approach based on MCDA

Author

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  • De La Vega, Diego Soto
  • Vieira, José Geraldo Vidal
  • Toso, Eli Angela Vitor
  • de Faria, Rosane Nunes

Abstract

The quantity and frequency of merchandise shipped from each distribution centre to each customer by Full Truckload (TL) and Less Than Truckload (LTL) represent important factors for distribution planning. The transport of smaller quantities leads to reduced costs associated with retailers' inventories but requires additional freight costs. In contrast, the transport of greater quantities with less frequency may reduce transport costs but increases inventory costs due to the need to maintain higher inventory levels. This decision is not easy because some criteria related to costs and to transit time may conflict, and many other important criteria that influence the choice of TL or LTL carriers are not easily quantifiable. This article proposes a Multi-Criteria Decision Analysis (MCDA) approach for structuring and appraising the transportation modes of a large and complex Joint Transportation and Inventory Problem (JTIP). Because this study is based on the Multi-Attribute Utility (MAUT), the proposed approach enables a robust analysis of the most suitable decision according to the preferences and risk aversion of the company's decision makers, considering a group of criteria that are evaluated simultaneously. Sensitivity analyses verify that incorporating utility functions is key to proposing a solution that is more personalised and aligned with the preferences and real concerns of decision makers. A case study is conducted for a telecommunications company to test the efficiency of the approach in real situations.

Suggested Citation

  • De La Vega, Diego Soto & Vieira, José Geraldo Vidal & Toso, Eli Angela Vitor & de Faria, Rosane Nunes, 2018. "A decision on the truckload and less-than-truckload problem: An approach based on MCDA," International Journal of Production Economics, Elsevier, vol. 195(C), pages 132-145.
  • Handle: RePEc:eee:proeco:v:195:y:2018:i:c:p:132-145
    DOI: 10.1016/j.ijpe.2017.09.013
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    Cited by:

    1. Baller, Reinhard & Fontaine, Pirmin & Minner, Stefan & Lai, Zhen, 2022. "Optimizing automotive inbound logistics: A mixed-integer linear programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    2. Çağlar Kıvanç Kaymaz & Salih Birinci & Yusuf Kızılkan, 2022. "Sustainable development goals assessment of Erzurum province with SWOT-AHP analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 2986-3012, March.
    3. Verena Maria Stockhammer & Sarah Pfoser & Karin Markvica & Jürgen Zajicek & Matthias Prandtstetter, 2021. "Behavioural Biases Distorting the Demand for Environmentally Friendly Freight Transport Modes: An Overview and Potential Measures," Sustainability, MDPI, vol. 13(21), pages 1-34, October.

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