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125 results on '"Keshavarz, Marzieh"'

35. Integrating lean, resilient, and sustainable practices in supply chain network: mathematical modelling and the AUGMECON2 approach

Author

Shafiee, Mohammad, Zare Mehrjerdi, Yahia, and Keshavarz, Marzieh

Abstract

Nowadays, organisations try to find a proper method to increase their competitiveness. Lean, resilient, and sustainable are top-hole managerial practices in supply chain management. This paper tries to study the effects of integrating lean, resilient, and sustainable practices in the supply chain network (SCN). To this end, a new multi-objective mixed-integer programming is developed in such a way that lean manufacturing is implemented in a resilient-sustainable SCN. The objective functions try to maximise job opportunities and minimise costs, environmental effects, and delivery time. Resilience has been taken into account to tackle the lack of raw materials during disruptions by implementing multiple sourcing in the model. Besides, to devote more attention to sustainable practices, backup suppliers have been prioritised based on sustainability criteria. The academics were enquired to rate sustainability criteria for selecting a backup supplier. Finally, a fuzzy TOPSIS method was used to rank the backup suppliers based on sustainability criteria. The improved version of augmented ϵ-constraint (AUGMECON2) was applied to cope with multi-objectivity of the problem. The results indicated a synergistic effect among leanness, resilience, and sustainability in the supply chain. Also, it turned out that sustainable backup supplier selection boosts the synergistic effect among these three concepts.

Published
2022
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42. The capability of nonlinear optical characteristics as a predictor for cellular uptake of nanoparticles and cell damage

Author

Ardakani, Ali Abbasian, Ghader, Alireza, Asgari, Hamid, Keshavarz, Marzieh, Tazehmahalleh, Fatemeh Ebrahimi, Arae, Mohammad Hosein Majles, Malekzadeh, Malekeh, Ghaznavi, Habib, Shakeri-Zadeh, Ali, Ardakani, Ali Abbasian, Ghader, Alireza, Asgari, Hamid, Keshavarz, Marzieh, Tazehmahalleh, Fatemeh Ebrahimi, Arae, Mohammad Hosein Majles, Malekzadeh, Malekeh, Ghaznavi, Habib, and Shakeri-Zadeh, Ali

Abstract

Current methods for determining the cellular effects of a treatment modality need expensive materials and much time to provide a researcher with results. The aim of this study was to evaluate the potential of nonlinear optical characteristics of cancer cells using Z-scan technique to monitor the level of cellular uptake and cell damage caused by a nanotechnology based treatment modality. Two nanocomplexes were synthesized and characterized. The first one was made of alginate hydrogel co-loaded with cisplatin and gold nanoparticles (AuNPs) named as ACA nanocomplex. The second one, named as AA nanocomplex, was the same as ACA, but without cisplatin and this AA nanocomplex was considered as the control for ACA. Different groups of CT26 mouse colon cancer cell line received various treatments of cisplatin, ACA, and AA nanocomplexes and then the samples were prepared for Z-scan studies. The MTT assay was used to evaluate the cytotoxicity induced by different treatment modalities. Transmission electron microscopy (TEM) and inductively coupled plasma-mass spectrometry (ICP-MS) were used for qualitative and quantitative assessments of the level of AuNPs cellular uptake. The trend of nonlinear optical properties changes for treated cells was in agreement with MTT, TEM and ICP-MS results. Z-scan technique was able to successfully indicate the occurrence of cell damage. It was also capable to determine the intensity of cell damage induced by ACA nanocomplex in comparison to free cisplatin. Furthermore, Z-scan results showed that it was able to discriminate the differences of optical properties of the cells incubated with ACA nanocomplex for various incubation times. Nonlinear optical characteristics of a cell may be considered as a reliable indicator to predict the level of cellular effects induced by a nanotechnology based treatment modality. The protocol suggested in this article does not waste materials, not take much time to provide the results, and it is inexpensive techn

Published
2019

48. Analyzing the Production and Information Diffusion Mechanism of Drought Early Warning System (DEWS) in Kermanshah Township.

Author

Sharafi, Lida, Zarafshani, Kiumars, Keshavarz, Marzieh, Azadi, Hossein, and Van Passel, Steven

Subjects
DROUGHT management, CRISIS management, DROUGHTS, WATER utilities
Abstract

Drought is among disasters that caused a large amount of financial burden to Iranian economy. However, drought management strategies have focused on crisis management instead of risk management. Drought risk management strategies take early warning system as a its focal point in order to disseminate information to drought-affected individuals which in turn reduces drought risk. The purpose of this qualitative study is to analyze mechanisms needed to deploy the production and diffusion of drought early warning system information in Kermanshah Township. Using case study as well as documentary approach, a critical case sample of 26 specialist from Meteorological, Agricultural Organization, Regional Water Company, Agricultural and Natural Resource Engineering System, Agricultural Bank, Regional Sound and Vision Broadcasting and Crisis Department and Municipalities participated in the study. The findings revealed that drought early warning system is not unified in a systematic manner and the stakeholders use their own method of disseminating information independently with limited knowledge of local context and poor knowledge of farmers' needs and reactions. The findings of this study have implications to design drought early warning system in Kermanshah Province as well as farmers' empowerment in terms of drought risk reduction. [ABSTRACT FROM AUTHOR]

Published
2020
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