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Freight Transport and Logistics Evaluation Using Entropy Technique Integrated to TOPSIS Algorithm

Freight Transport and Logistics Evaluation Using Entropy Technique Integrated to TOPSIS Algorithm
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Author(s): Mohammad Anwar Rahman (Central Connecticut State University, USA)and Vivian A. Pereda (Central Connecticut State University, USA)
Copyright: 2017
Pages: 27
Source title: Design Solutions for User-Centric Information Systems
Source Author(s)/Editor(s): Saqib Saeed (Department of Computer Information Systems, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia), Yasser A. Bamarouf (Imam Abdulrahman Bin Faisal University, Saudi Arabia), T. Ramayah (University Sains Malaysia, Malaysia)and Sardar Zafar Iqbal (Imam Abdulrahman Bin Faisal University, Saudi Arabia)
DOI: 10.4018/978-1-5225-1944-7.ch004

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Abstract

Freight transportation and logistics decisions such as modal choice decisions are strategically important for effective supply chain operation and economic benefits. The freight selection logistic is a multi-criteria multi-objective (MCMO) process, crucial for smooth sourcing of materials, cost-effective delivery of products to customers in the right time, at the right quantity. The study discusses the major transport logistics attributes and the order preference by similarity ideal solution (TOPSIS) algorithm as the preferred MCMO model to support comparative ranking among the alternative freights. The entropy weight coefficient method minimizes the subjectivity in the selection of weight of the attribute. This study integrates the entropy technique on TOPSIS platform to improve the freight selection decision. A numerical example illustrates the procedure of the proposed algorithm and ranks the choices among truck, rail, and several intermodal transport combinations (rail/truck and air/truck) in a transportation selection model.

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