Ramez Kian

Dr. Ramez Kian

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2019 in Expert Systems with Applications
Verified
Journal Article
Open access
JGJavid Ghahremani-Nahr
Javid Ghahremani-Nahr
Ramez KianRamez Kian
Ramez Kian
ESEhsan Sabet
Ehsan Sabet

1 June 2020 in Omega
Verified
Journal Article
Closed access
ESEhsan Sabet
Ehsan Sabet
BYBaback Yazdani
Baback Yazdani
Ramez KianRamez Kian
Ramez Kian
KGKostas Galanakis
Kostas Galanakis

1 June 2021 in Transportation Research Part D: Transport and Environment
Verified
Journal Article
Closed access
VAVahid Akbari
Vahid Akbari
MSMir Ehsan Hesam Sadati
Mir Ehsan Hesam Sadati
Ramez KianRamez Kian
Ramez Kian

24 November 2022 in Expert Systems with Applications
Verified
Journal Article
Closed access
JGJavid Ghahremani-Nahr
Javid Ghahremani-Nahr
AGAbdolsalam Ghaderi
Abdolsalam Ghaderi
Ramez KianRamez Kian
Ramez Kian

12 May 2022 in Operational Research
Verified
Journal Article
Open access
PDF file
JGJavid Ghahremani-Nahr
Javid Ghahremani-Nahr
Ramez KianRamez Kian
Ramez Kian
ESEhsan Sabet
Ehsan Sabet
VAVahid Akbari
Vahid Akbari
This paper addresses a multi-objective blood supply chain network design, considering economic and environmental aspects. The objective of this model is to simultaneously minimize a blood supply chain operational cost and its logistical carbon footprint. In order to embed the uncertainty of transportation costs, blood demand, capacity of facilities and carbon emission, a novel robust possibilistic-necessity optimization used regarding a hybrid optimistic-pessimistic form. For solving our bi-objective model, three multi-objective decision making approaches including LP-metric, Goal-Programming and Torabi- Hassini methods are examined. These approaches are assessed and ranked with respect to several attributes using a statistical test and TOPSIS method. Our proposed model can accommodate a wide range of decision-makers’ viewpoints with the normalized objective weights, both at the operational or strategic level. The trade-offs between the cost and carbon emission for each method has been depicted in our analyses and a Pareto frontier is determined, using a real case study data of 21 cities in the North-West of Iran considering a 12-month implementation time window.

3 July 2020 in IEEE Transactions on Engineering Management
Verified
Journal Article
Open access
FAFahimeh Allahi
Fahimeh Allahi
STSaeed Taheri
Saeed Taheri
Ramez KianRamez Kian
Ramez Kian
ESEhsan Sabet
Ehsan Sabet
Cash-based interventions (CBIs) as one form of aid have recently received substantial interest from humanitarian organizations in persistent humanitarian crises. This article proposes a system dynamics (SD) approach to study the CBIs’ impact factors on all aspects of the beneficiaries’ dignity in longstanding refugee crises, such as the case of Syrian refugees in Turkey. Reviewing the humanitarian management literature, we first develop a set of holistic causal loops to better understand the building boxes of refugees’ dignity and their interactions. Then, an SD model is proposed and calibrated by field data from humanitarian organizations. The result of CBI amount sensitivity and payment time periods shows that CBIs are significantly more effective in diminishing child labor rates and to improve in health and accommodation service reception by the refugees in short terms, but to be as much effective in longer terms, humanitarian organizations must be more directly contribute to service capacity-building activities that are strategies by the hosting governments and supported by the international bodies, such as EU and UN. Otherwise, long-term or enhanced CBI supports can only lead to accelerated service capacity saturation and thus put extra pressure on already strained services and cause tensions between hosting and refugee communities.