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دسته بندی:
زنجیره تامین - supply chain
سال انتشار:
2017
عنوان انگلیسی مقاله:
Designing a Reliable Multi-Objective Queuing Model of a Petrochemical Supply Chain Network under Uncertainty: A Case Study
ترجمه فارسی عنوان مقاله:
طراحی یک مدل صف چند هدفه قابل اطمینان از شبکه زنجیره تامین پتروشیمی تحت عدم قطعیت: مطالعه موردی
منبع:
Sciencedirect - Elsevier - Computers and Chemical Engineering, 100 (2017) 177-197. doi:10.1016/j.compchemeng.2016.12.012
نویسنده:
A. Yousefi-Babadi a, R. Tavakkoli-Moghaddam a,b,c,∗, A. Bozorgi-Amiri a, S. Seifi
چکیده انگلیسی:
This paper shows a multi-objectives mixed-integer non-linear programming (MINLP) model for a petro
chemical supply chain under uncertainty environments, namely disruption risks and less knowledge of
parameters. In this model, two efficient queuing systems are applied in nylon plastic manufacturing and
recycling centers, in which a Jackson network is also used. The aims are to minimize the average tar
diness to deliver products, total cost and transportation cost. In addition the developed model specifies
the optimal locations for a new distribution center (DC), collection center and disposal center as well as
the optimal allocation of customer zones to each DC. This model is solved in three stages: (1) a Jackson
network determines the queuing parameters, (2) an Lp-metric approach makes the multi-objectives into
a single objective, and (3) an efficient Lagrangian relaxation based on a sub-gradient approach solves
the presented model. Additionally, a real case study is shown in details to depict the application of the
presented model. At the end, the sensitivity analyses are carried out to check the optimal objectives by
changing the important parameters.
Keywords: Closed-loop petrochemical supply chain | Robust optimization | Queuing theory | Jackson network | Lagrangian relaxation | Uncertainty
قیمت: رایگان
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