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A Multi-Objective Mathematical Model for the Population-Based Transportation Network Planning
Supat Chupradit,Mohammad A. Tashtoush,Mohammed Yousif Oudah Al-Muttar,Trias Mahmudiono,Ngakan Ketut Acwin Dwijendra,Purnima Chaudhary,Muneam Hussein Ali,Ahmed Alkhayyat,Dr. Sutarto 대한산업공학회 2022 Industrial Engineeering & Management Systems Vol.21 No.2
The current article introduces a three-objective model for the problem of location, allocation, and routing, taking into account the travel times depending on the population on the route. Objective functions include minimizing the total network transit time, maximizing travel attractiveness for travel applicants, and balanced allocation of travel appli-cants to each service area. In this research, a general form of the proposed three-objective mathematical planning model is formulated. The proposed model seeks to select a suitable place or places as places of service, allocate people or vehicles in each area to these places and determine the transportation route of each person or vehicle in each area to reach the service provider in question. Getting a direct impact of random factors and population flow on the random travel times of each bow so that all three goals are met simultaneously. The cuckoo optimization algorithm is developed to solve this model. A sample problem is also examined to show the validity and behavior of the proposed model. The numerical results indicate the high performance of the cuckoo optimization algorithm.
Design of a Two-tier Supply Chain Based on Integration, Pricing, Routing, and Inventory Control
Aruzhan Jussibaliyeva,Ius Rusnati,Aan Komariah,Aigul Kurmanalina,Nikolay N. Reutov,Gulnar Temirgaliyevna Kunurkulzhaeva,Alim Al Ayub Ahmed,Ravil Akhmadeev,Supat Chupradit 대한산업공학회 2021 Industrial Engineeering & Management Systems Vol.20 No.4
This paper integrates decisions about the three key components of the supply chain including pricing, routing and inventory control, and multi-product multi-cycle in a two-tier supply chain; includes a manufacturer and a collection of dedicated retailers. In addition to pricing, inventory management and distribution planning, production planning is also considered in the study. The goal is to maximize profits in the supply chain, where products are delivered to retailers by a fleet of limited-capacity identical vehicles under a multiple-delivery strategy. Also, limited production and storage capacity and unauthorized shortages are assumed. The proposed model will then be solved using CPLEX software package in GAMS environment and genetic algorithm in Matlab software to determine the optimal supply chain policy.