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دسته بندی:
زنجیره تامین - supply chain
سال انتشار:
2017
عنوان انگلیسی مقاله:
Performance modeling of a two-echelon supply chain under different levels of upstream inventory information sharing
ترجمه فارسی عنوان مقاله:
مدل سازی عملکرد زنجیره تامین دو پله در سطوح مختلف به اشتراک گذاری اطلاعات موجودی
منبع:
Sciencedirect - Elsevier - Computers and Operation Research, 77 + (2017) 210-225. doi:10.1016/j.cor.2016.07.011
نویسنده:
Sandeep Srivathsan a,n, Manjunath Kamath
چکیده انگلیسی:
The advancement in information technology has facilitated the sharing of information in supply chain
networks (SCNs), resulting in effective management of inventory and storage capacity. In this paper, our
focus is on upstream inventory information sharing. Existing analytical performance evaluation models
of SCNs are not capable of assessing the impact of inventory information sharing. To address this need,
we develop performance evaluation models of SCNs that explicitly consider production capacity, in
ventory related decisions, variability, transit delays and inventory information sharing in a unified
manner. We employ a two-echelon SCN configuration with two retail stores and two production facilities
as a test bed. The retail stores have inventory information from the production facilities. We model three
levels of inventory information sharing in our study; the information shared ranges from the stock-out
information at the lowest level to inventory and backorder level information at the highest level. We
develop analytical models first for Poisson arrivals and exponential processing times under all levels of
inventory information sharing. We extend these models to general inter-arrival and processing time
distributions and subsequently include transit delays between the production facilities and the retail
stores. We demonstrate the performance prediction capability of the analytical models developed via
extensive numerical experimentation.
Keywords: Queueing models | Supply chain network | Inventory information sharing | Base-stock policy
قیمت: رایگان
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