EURO 2025 Leeds
Abstract Submission

1386. Collaborative Shipment Consolidation for Perishable Supply Chains: A Stochastic Multi-Echelon Optimization Model

Invited abstract in session WC-54: Stochastic models in Supply Chain Management, stream Stochastic modelling.

Wednesday, 12:30-14:00
Room: Liberty 1.08

Authors (first author is the speaker)

1. Gizem Celik
Department of Business Administration, TED University
2. Bulent Cekic
Department of Business Administration, Hacettepe University
3. Hande Cansın Kazanc
Business Administration, Çankaya University
4. Mehmet Soysal
Department of Business Administration, Hacettepe University

Abstract

This study aims to improve logistics efficiency in the perishable product supply chain by incorporating shipment consolidation strategies to enhance collaboration among suppliers, logistics providers, and retailers while reducing food waste.A cooperative vehicle-sharing consolidation model is introduced to address transportation capacity utilization issues.This model promotes supplier cooperation to optimize capacity use and minimize expenses.It covers supplier-to-vehicle assignments, transportation to transshipment centers, and distribution to warehouses via predefined routes.Additionally, warehouse inventory levels are managed to control holding costs, considering perishability to reduce waste.A multi-period, multi-echelon network design model is developed, integrating distance-based assignment costs, truck load-dependent distribution costs, inventory, waste management, and service level constraints under supply and demand uncertainty.The model is formulated as a Chance-Constrained Stochastic Mixed Integer Linear Programming approach, using scenario-based analysis to address supply uncertainties.The feasibility of shipment consolidation is evaluated under uncertainty to optimize transportation and inventory.A case study on fresh tomato distribution in Turkey examines the impact of perishability and uncertainty on costs and waste.Practical solutions are proposed to enhance transportation efficiency in supplier-dense regions through consolidation.

Keywords

Status: accepted

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