Modeling an Inventory Routing Problem for perishable products with environmental considerations and demand uncertainty


Soysal M., BLOEMHOF-RUWAARD J. M., HAIJEMA R., VAN DER VORST J. G. A. J.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, cilt.164, ss.118-133, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 164
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.ijpe.2015.03.008
  • Dergi Adı: INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.118-133
  • Anahtar Kelimeler: Inventory routing, Greenhouse gas emissions, Energy consumption, Perishability, Chance-constrained programming, HEURISTICS, SYSTEMS, STOCK
  • Hacettepe Üniversitesi Adresli: Evet

Özet

The transition to sustainable food supply chain management has brought new key logistical aims such as reducing food waste and environmental impacts of operations in the supply chain besides the traditional cost minimization objective. Traditional assumptions of constant distribution costs between nodes, unlimited product shelf life and deterministic demand used in the Inventory Routing Problem (IRP) literature restrict the usage of the proposed models in current food logistics systems. From this point of view, our interest in this study is to enhance the traditional models for the IRP to make them more useful for the decision makers in food logistics management. Therefore, we present a multi-period IRP model that includes truck load dependent (and thus route dependent) distribution costs for a comprehensive evaluation of CO2 emission and fuel consumption, perishability, and a service level constraint for meeting uncertain demand. A case study on the fresh tomato distribution operations of a supermarket chain shows the applicability of the model to a real-life problem. Several variations of the model, each differing with respect to the considered aspects, are employed to present the benefits of including perishability and explicit fuel consumption concerns in the model. The results suggest that the proposed integrated model can achieve significant savings in total cost while satisfying the service level requirements and thus offers better support to decision makers. (C) 2015 Elsevier B.V. All rights reserved.