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- 저자 : ( Aghajanian C ) (검색결과 4 건)
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An Empirical Procurement Risk Management Framework in Supply Chain Networks: A Hybrid Approach
Shara Aghajanian 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.4
The review of the related literature pointed to a significant gap in procurement risk management area, and this papertried to identify and fill this gap in order to develop a new risk model, and improve the literature review. A hybridprocurement risk management model based on four main stages namely pre-identification, identification, assessmentand mitigation is proposed. For pre-identification stage, the literature was deeply reviewed to categorize it into supplyside,buyer-supplier side and demand-side risks as well as to collect and categorize the identified risks in procurementliterature. Delphi method and a comprehensive literature review were employed for the identification stage. The explanatoryand confirmatory factor analyses were used to build and rank the risk factors and its multi-dimensional consequencesfor the assessment stage. Delphi and ANP-fuzzy TOPSIS method were used to gather and prioritize the setsof solutions for the mitigation strategy. An effective model for the procurement risks in supply chain was developed inorder to help gathering more comprehensive risks as well, to better understand and analyze the cause and consequencesof the procurement risks to drive better mitigation solutions. This paper has proposed a supply chain networkcontext as a holistic view for the procurement risk management. Therefore, a hybrid procurement risk managementmodel was proposed. By the comprehensive literature review a pre-identification step was proposed to improve riskidentification stage and a multi-dimensional risk assessment model, considering risk intricacies, circumstances of thecase and causes and consequences of the risks.
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Optimal Control of Steel Structures by Improved Particle Swarm
Saeid Aghajanian,Hadi Baghi,Fereidoun Amini,Masoud Zabihi Samani 한국강구조학회 2014 International Journal of Steel Structures Vol.14 No.2
Active control is one of the modern approaches in seismic design of steel structures. Recently, induced by economicconsiderations, especially high expenses of control systems, optimality has become an important issue. In this paper an activesystem is used to control a steel structure’s displacements by a simplified pole assignment method. To optimize the number,the locations, and the total driving force of the required actuators, an improved particle swarm algorithm is presented focusingon the parameters of the velocity equation. A Geographical neighborhood topology and an adaptive inertia weight are used toimprove the standard PSO algorithm. In addition to the local and global best solutions, the positions of the best particles inthe geographical neighborhood are mathematically represented in an additional term. The performance of the proposedalgorithm is compared with the traditional Genetic Algorithm (GA) and the standard particle swarm considering the optimalcontrol of a 12-story steel structure as a numerical example. High capabilities of the proposed method in terms of the controltarget, convergence rate, and accuracy are simultaneously clarified by the results.
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Ying L. Liu,Olga T. Filippova,Qin Zhou,Alexia Iasonos,Dennis S. Chi,Oliver Zivanovic,Yukio Sonoda,Ginger J. Gardner,Vance A. Broach,Roisin E. OCearbhaill,Jason A. Konner,Carol Aghajanian,Kara Long Roc 대한부인종양학회 2020 Journal of Gynecologic Oncology Vol.31 No.1
Objective: Neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS)confers similar outcomes as primary debulking surgery and chemotherapy. Little is knownabout patients who receive NACT but do not undergo debulking surgery. Our aim was tocharacterize these patients. Methods: We prospectively identified patients with newly diagnosed stage III/IV ovariancancer treated with NACT from 7/1/15–12/1/17. Fisher exact and Wilcoxon rank-sum tests wereused to compare clinical characteristics by surgical status. The Kaplan-Meier method wasused to estimate survival outcomes. Log-rank test and Cox proportional hazards model wereapplied to assess the relationship of covariates to outcome, and time-dependent covariateswere applied to variables collected after diagnosis. Results: Of 224 women who received NACT, 162 (72%) underwent IDS and 62 (28%) didnot undergo surgery. The non-surgical group was older (p<0.001), had higher Charlsoncomorbidity index (CCI; p<0.001), lower albumin levels (p=0.007), lower Karnofskyperformance scores (p<0.001), and were more likely to have dose reductions in NACT(p<0.001). Reasons for no surgery included poor response to NACT (39%), death (15%),comorbidities (24%), patient preference (16%), and loss to follow-up (6%). The nosurgery group had significantly worse overall survival (OS) than the surgery group (hazardratio=3.34; 95% confidence interval=1.66–6.72; p<0.001), after adjustment for age, CCI, anddose reductions. Conclusions: A significant proportion of women treated with NACT do not undergo IDS, andthese women are older, frailer, and have worse OS. More studies are needed to find optimaltherapies to maximize outcomes in this high-risk, elderly population.
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