Akademik Veri Yönetim Sistemi
Lean and Green Supply Chain Management: Optimization Models and Algorithms, Turan Paksoy,Gerhard-Wilhelm Weber,Sandra Huber, Editör, Springer, London/Berlin , Berlin, ss.189-230, 2019
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.