Minimizes the time window for delivery of orders in B2B E-commerce

Prajapati, Dhirendra (Indian Institute of Information Technology, Design & Manufacturing Jabalpur, India) ; Zhou, Fuli (School Of Economics and Management, Zheng Zhou University of Light Industry, China) ; Cheikhrouhou, Naoufel (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Pratap, Saurabh (Indian Institute of Information Technology, Design & Manufacturing Jabalpur, India)

In recent years, the rapid growth of e-commerce creates the opportunities for the logistics service provider. In this study, we developed an e-commerce logistics network for vehicle routing problem in order to minimize the total distance, which has a direct relation to the travel time, and formulated a mixed integer nonlinear programming (MINLP) model, which minimize the travelling time and the time required for maintenance of vehicles. The formulated model is solved by using both the approaches; classical (used LINGO 18) and metaheuristics i.e., GA. The computational experiment reveals that LINGO 18 performs better than GA in term of the objective function, but GA computation time is better than LINGO.


Keywords:
Conference Type:
full paper
Faculty:
Economie et Services
School:
HEG - Genève
Institute:
CRAG - Centre de Recherche Appliquée en Gestion
Subject(s):
Economie/gestion
Publisher:
Surat, India, 12-14 December 2019
Date:
2019-12
Surat, India
12-14 December 2019
Pagination:
6 p.
Published in:
Proceedings of the 5th International Conference on Industrial Engineering( ICIE 2019)
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2020-01-30, last modified 2020-01-31

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