Seyed esmaeil najafi Articles List

List of Articles Seyed esmaeil najafi

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1 - Designing a model of product arrangement and multi-warehouse location-routing problem
saeed sadeghi mohammad fallah esmaeil najafi
10.30495/jiei.2023.1969398.1256

This paper presents a m model of product arrangement and multi-warehouse location-routing problem under uncertainty. In the first stage of the designed model, the main goal is to arrange products in packages that can be sent to the customer. The second stage aims to loc More

This paper presents a m model of product arrangement and multi-warehouse location-routing problem under uncertainty. In the first stage of the designed model, the main goal is to arrange products in packages that can be sent to the customer. The second stage aims to locate potential warehouses and optimally route vehicles. Therefore, the objective function of the first stage includes the sum of the optimal dimensions of the packages, and the objective functions of the second stage include the simultaneous optimization of location-routing costs and the amount of greenhouse gas emissions. Due to the uncertainty of the designed model and considering the demand parameters and transmission costs in the form of trapezoidal fuzzy numbers, in this paper, the robust fuzzy optimization method is used to control the uncertainty parameters. Due to the NP-Hard nature of the designed model, the invasive weed optimization is used to determine the optimal dimensions of the packages and the arrangement of products in the packages in the first stage. In addition, the NSGA II is used to find efficient solutions to the problem in the second stage.The results of model implementation in a real case study in Safir Company have shown ten efficient solutions. By reviewing the efficient solutions, the most appropriate efficient solution for the management of Safir Company in Iran is presented. In this article, a two-stage model of product packaging and vehicle routing with simultaneous pickup and delivery under uncertainty is presented, which uses the robust fuzzy optimization method to control uncertainty and different methods to solve the problem. Manuscript profile
Open Access Article
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2 - Designing a sustainable integrated production system model under uncertainty considering the discount in production outsourcing costs
Saeed Shahdoust Mohammad Fallah Esmaeil Najafi
10.30495/jiei.2023.1971305.1259

Sustainability in the integrated production system in supply chain networks has led to the creation of competitive advantage for companies. Therefore, companies should have proper management of their supply chain network to increase their market share. Therefore, in thi More

Sustainability in the integrated production system in supply chain networks has led to the creation of competitive advantage for companies. Therefore, companies should have proper management of their supply chain network to increase their market share. Therefore, in this article, a dual-objective model of a sustainable integrated production system is presented, taking into account the simultaneous reduction of possible costs on the system, the amount of greenhouse gas emissions, and the application of discounts on the costs of outsourcing production under uncertainty and the control of non-deterministic parameters with the robust optimization method. . Due to the NP-hard nature of the problem, the exact epsilon constraint method and meta-heuristic algorithms MOPSO, NSGA II, and MOGWO have been used to solve the model. The results of the calculations showed that the NSGA II algorithm is effective in obtaining the indicators of the number of effective answers and the distance index, and the MOPSO algorithm is also in obtaining the indicators of the most spread, the average computing time, and the distance from the ideal point, and the MOGWO algorithm is also in obtaining the averages of the first objective function . Also, the results of the implementation of the TOPSIS method for ranking the algorithms for solving the problem of a sustainable integrated production system included obtaining a desirability weight of 0.5882 for the MOPSO algorithm, obtaining a desirability weight of 0.1397 for the MOGWO algorithm, and obtaining a desirability weight of 0.7491 for the NSGA II algorithm. Manuscript profile

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List of Articles Seyed esmaeil najafi