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Showing 2 results for Reverse Logistic
A GA Model Development for Decision Making Under Reverse Logistics
Mohammad Bagher Fakhrzad, Mitra Moobed ,
Volume 21, Issue 4 (12-2010)
Abstract

  Managing products’ end-of-life and recovery of used products is gaining significant importance during last years. Therefore, managing the reverse flow of products can be an important potential for winning consumers in future competitive markets. In this context, establishing reverse logistics networks is becoming a main problem in reverse supply chains. Genetic Algorithm (GA) is utilized to solve the proposed NP-hard problem and find the best possible design for different facilities. In order to test the applicability of proposed GA, we suppose a tire reverse logistic case and solve the problem. The results show that the least cost will be achieved by using the free space of distribution centers and integrating collection and inspection centers within them. In addition, we suggest using hybrid algorithm in future allocation problems to obtain best solutions .


THE ROLE OF INSTITUTIONAL PRESSURE, GREEN PROCUREMENT AND REVERSE LOGISTICS PRACTICES ON ENVIRONMENTAL PERFORMANCES
Tesfaye K. Torban, Mathewos Ensarmu, Chala Dechassa,
Volume 34, Issue 3 (9-2023)
Abstract
Environmental sustainability is a growing concern for businesses and organizations due to climate change trends. This study aims to examine the direct impact of institutional pressures, green procurement (GP), and reverse logistics (RL) on environmental performance (EVP). The mediating influences of RL and GP on institutional pressure and EVP are also examined. The study uses a quantitative method where data is gathered from the CEO, operations, human resources, logistics, and procurement managers of 165 industrial park firms using customized questionnaires. The data is analyzed using the PLS-SEM software (SmartPLS 4). The results suggest that the adoption of institutional pressures has a significant effect on GP and RL, and the findings show that GP does not improve EVP. However, the implementation of RL mediates the relationship between institutional pressure and EVP. The study develops a comprehensive empirical model that tests the joint influence of institutional pressure- GP-RL-EVP model was developed and validated. The findings indicate that institutional pressure and RL help firms advance EVP.


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