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:: Volume 10, Issue 1 (7-2019) ::
IJOR 2019, 10(1): 19-42 Back to browse issues page
Sustainable Planning of Supply Chains in Large-Scale Systems with Real Options Analysis
Aidin Azari Marhabi Mr. , Abdollah Arasteh Dr. , Mohammad Mahdi Paydar Dr.
Babol Noshirvani University of Technology , aidinak626@gmail.com
Abstract:   (455 Views)
This paper presents a structure that empower designing supervisory groups to survey the estimation of real options in projects of enormous scale, incompletely standardized frameworks actualized a couple of times over the medium term. Specific options writing is done using a methodology of planning the design and making prior decisions regarding the arrangements of specific options, with a recreation-based value measure designed to be near-current construction rehearsals and to resolve financial problems in particular cases. To study the case and demonstrate the actual application of this method, drug chain modeling at the tactical level was investigated. The physical and financial flow and their disturbance are simultaneously modulated. In order to complete the financial flow, financial ratios are also entered into the model. Problem uncertainty has been modeled using one of the most recent robust optimization approaches called Robust Possibilistic Programming (RPP) in combination with real options theory. The model was applied to a case study and its results were analyzed and validated by GAMS software. The results show that without violating the limitations of the problem, it shows appropriate decisions to deal with the problem.
Keywords: Sustainable planning, drug supply chain, real options theory, robust possibilistic programming
Full-Text [PDF 750 kb]   (540 Downloads)    
Type of Study: Original | Subject: Mathematical Modeling and Applications of OR
Received: 2018/10/28 | Accepted: 2019/06/12 | Published: 2019/06/12
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Volume 10, Issue 1 (7-2019) Back to browse issues page
مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
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