Development of a Web-Based Decision Support System for Strategic and Tactical Sustainable Fleet Management Problems in Intermodal Transportation Networks

Adil Baykasoğlu (), Kemal Subulan, A. Serdar Taşan, Nurhan Dudaklı, Murat Turan, Erdin Çelik and Özgür Ülker
Additional contact information
Adil Baykasoğlu: Dokuz Eylül University
Kemal Subulan: Dokuz Eylül University
A. Serdar Taşan: Dokuz Eylül University
Nurhan Dudaklı: Dokuz Eylül University
Murat Turan: Ekol Logistics Inc.
Erdin Çelik: Ekol Logistics Inc.
Özgür Ülker: Ekol Logistics Inc.

A chapter in Lean and Green Supply Chain Management, 2019, pp 189-230 from Springer

Abstract: Abstract This paper presents a web-based decision support system (DSS) which uses a fuzzy-stochastic mathematical programming based model for strategic and tactical intermodal fleet management. Indeed, several sub-problems such as load planning, fleet sizing and composition, fleet allocation, vehicle inventory control, fleet expansion/reduction and empty vehicle repositioning decisions are incorporated into the proposed DSS. Therefore, it has a modular structure to support these interactive decisions in an integrated manner. In the model component of the proposed DSS, in addition to optimize overall transportation costs, users are able to provide environmentally conscious and customer-oriented freight and fleet plans by minimizing total transit times and CO2 emissions. In the data component, an object-relational database management system namely Oracle was utilized. The LINGO 15.0 optimization code of the proposed model is run over C# and object-oriented matching was utilized for connection among Oracle database and C# programs. The web-based user interface is designed by using .Net and C# programs on Microsoft Visual Studio. The proposed system is tested on a real-life application in an international logistics company of Turkey. By making use of such a DSS, effective and efficient fleet and freight plans can be generated under different types of uncertainties and risk-levels.

Keywords: Fleet management software; Intermodal transportation; Web-based decision support systems; Mathematical programming; Sustainable fleet planning (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/978-3-319-97511-5_7

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