Jiny D M, Navamani G, Kumar R, Stević Ž, Karabašević D, Kumar R. Cultivating Efficiency: Streamlining Food Delivery Logistics Through Graphical Networks and Eternal m-Certified Domination number. IJIEPR 2024; 35 (3) :1-11
URL:
http://ijiepr.iust.ac.ir/article-1-2029-en.html
1- Department of Mathematics, Saveetha School of Engineering, SIMATS, Chennai-602105, Tamilnadu, India
2- Department of Mechanical and Production Engineering, Guru Nanak Dev Engineering College, Ludhiana, Punjab, 141006, India
3- University of East Sarajevo, Faculty of Transport and Traffic Engineering, Vojvode Mišića 52, 74000 Doboj, Bosnia and HerzegovinaSchool of Industrial Management Engineering, Korea University, 145 Anam-Ro, Seongbuk-Gu, Seoul 02841, Korea, , zeljkostevic88@yahoo.com
4- Faculty of Applied Management, Economics and Finance, University Businesses Academy in Novi Sad, 11000 Belgrade, Serbia
5- School of Engineering and Technology, Manav Rachna International Institute of Research and Studies, Faridabad, IndiaChitkara Center for Research and Development, Chitkara University, Pinjore, Himachal Pradesh-174103 India
Abstract: (537 Views)
The increasing demand for food delivery services driven by technological innovations has led to a surge in online shopping and food ordering. Efficient logistics play a crucial role in connecting customers with restaurants seamlessly. In this context, the practical application of graphical networks is explored in this article to streamline food delivery operations. We introduce a novel parameter eternal m-certified domination number denoted by γmcer∞(G) , which represents the minimum number of guards needed to handle any sequence of single orders using multiple-guard movements, ensures that the guard arrangement consistently constitutes a certified dominating set. A case study is presented, illustrating how this concept can be employed to de-crease human resources in a food delivery start-up. This research contributes to optimizing food delivery logistics and reducing operational costs, thereby enhancing the efficiency of the food delivery industry.
Type of Study:
Research |
Subject:
Logistic & Apply Chain Received: 2024/05/1 | Accepted: 2024/06/9 | Published: 2024/09/18