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Showing 2 results for Relief Logistic

P. Ghasemi, A. Shojaie,
Volume 14, Issue 1 (4-2017)
Abstract

Relief logistics is one of the most effective tools in the crisis management. Growing number of global disasters and crisis events in Iran in the last decade indicates the importance of relief logistics planning more than before. Facility location of the resources allocation is the basic instrument in relief logistics before, in, and after each crisis. In this paper, covering radius of facilities is considered as a discrete variable with a step function toward cost. The proposed maximal covering location model determines the place, type, and capacity of the relief facility that will be required. Uncertainty is involved in the problem as a limited scenario; meanwhile, the above model has been formulated with two aims: maximizing the coverage and minimizing the budget. Then the problem has been solved by the GAMS software, and the results have been investigated on real and random data. Moreover, the results of stable optimized model and random optimized model have been compared.


M. Mirzaee, R. Sotoudeh, N. Ahmad Khan Beigy,
Volume 19, Issue 3 (9-2022)
Abstract

The subject of this research is to identify and investigate the factors affecting supply chain management. This research has been done in Saipa Automotive Group. The experts of this research consist of 50 experts of this company in the field of supply chain. The experts of this research were people who either have an academic education in the supply chain or have more than 10 years of experience in this field and in this regard are completely knowledgeable staff in this field and in fact the management of the supply chain of Saipa Automotive is responsible. These are people. Due to the limited number of experts in this company, the counting method was used. The questionnaire used in this study was standardized. The researcher presented his hypotheses according to the identified influencing factors on the supply chain. These factors include: reliability, accountability, agility, costs and asset management. The researcher tested these hypotheses using structural equation method and smart pls software. The results of the study showed the effectiveness of the identified dimensions on supply chain management. Among the identified dimensions, asset management had a negative and inverse effect on supply chain management.
 

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