A fuzzy-stochastic optimization model for the intermodal fleet management problem of an international transportation company

BAYKASOĞLU A., SUBULAN K.

TRANSPORTATION PLANNING AND TECHNOLOGY, cilt.42, sa.8, ss.777-824, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 42 Sayı: 8
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1080/03081060.2019.1675316
  • Dergi Adı: TRANSPORTATION PLANNING AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.777-824
  • Anahtar Kelimeler: Fleet planning, fleet sizing and composition, intermodal transportation, empty vehicle repositioning, fuzzy-stochastic programming, case study
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

In this paper, a fuzzy-stochastic optimization model is developed for an intermodal fleet management system of a large international transportation company. The proposed model integrates various strategic, tactical and operational level decisions simultaneously. Since real-life fleet planning problems may involve different types of uncertainty jointly such as randomness and fuzziness, a hybrid chance-constrained programming and fuzzy interactive resolution-based approach is employed. Therefore, stochastic import/export freight demand and fuzzy transit times, truck/trailer availabilities, the transport capacity of Ro-Ro vessels, bounds on block train services, etc. can also be taken into account concurrently. In addition to minimize overall transportation costs, optimization of total transit times and CO2 emission values are also incorporated in order to provide sustainable fleet plans by maximizing customer satisfaction and environmental considerations. Computational results show that effective and efficient fleet plans can be produced by making use of the proposed optimization model.