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دسته بندی:
زنجیره تامین - supply chain
سال انتشار:
2017
عنوان انگلیسی مقاله:
A large neighborhood search heuristic for supply chain network design
ترجمه فارسی عنوان مقاله:
یک جستجوی اکتشافی همسایه بزرگ برای طراحی شبکه زنجیره تامین
منبع:
Sciencedirect - Elsevier - Computers and Operations Research, 80 (2017) 23-37. doi:10.1016/j.cor.2016.11.012
نویسنده:
Majid Eskandarpour a,b, Pierre Dejax a, Olivier Péton a
چکیده انگلیسی:
Many exact and approximate solution techniques have been used to solve facility location problems and,
more generally, supply chain network design problems. Yet, the Large Neighborhood Search technique
(LNS) has almost never been suggested for solving such problems, although it has proven its efficiency
and flexibility in solving other complex combinatorial optimization problems. In this paper, we propose
an LNS framework for solving a four-layer single period multi-product supply chain network design prob
lem. One important feature of the model is that it includes inter-modality: the itinerary followed by the
cargo from origin to destination may take several transportation modes. Moreover, several modes may
compete on some arcs. Location decisions for intermediate facilities (e.g. plants and distribution centers)
are determined by the LNS while transportation modes and product flow decisions are determined by
a greedy heuristic. As a post-optimization step, linear programming is used to optimize product flows
once the structure of the logistics network is fixed. Extensive experiments, based on randomly generated
instances of different sizes and characteristics, show the effectiveness of the method compared with a
state-of-the-art solver.
Keywords: Supply chain network design | Facility location | Large Neighborhood Search
قیمت: رایگان
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