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Weili Xue

Researcher at Southeast University

Publications -  37
Citations -  596

Weili Xue is an academic researcher from Southeast University. The author has contributed to research in topics: Supply chain & Newsvendor model. The author has an hindex of 11, co-authored 34 publications receiving 426 citations. Previous affiliations of Weili Xue include Nanjing University.

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Vehicle routing problem with fuel consumption and carbon emission

TL;DR: This paper incorporates fuel cost, carbon emission cost, and vehicle usage cost into the traditional VRP problem and establishes a low-carbon routing problem model based on the route splitting method, and develops an improved tabu search algorithm named RS-TS for solving the model.
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Loss-averse newsvendor model with two ordering opportunities and market information updating

TL;DR: In this paper, a fashion supply chain characterized by a long lead time and a short selling season is considered and the risk aversion is modelled as a penalty to the decision maker (the retailer) if a target profit is not attained.
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Optimal inventory and hedging decisions with CVaR consideration

TL;DR: In this article, the authors consider a newsvendor who makes an ordering decision to meet stochastic demand and buys a put option written on the demand to hedge against the risk of low demand to maximize his expected utility, which is measured by the conditional value-at-risk.
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Supply chain performance and consumer surplus under alternative structures of channel dominance

TL;DR: It is shown that the manufacturer-dominated channel structure leads to the highest production quantity, the lowest retail price, and the largest expected surplus for an individual buyer; on the other hand, the entire channel profit and the total consumer surplus are highest when the retailer holds the channel dominance.
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Loss-averse newsvendor problem with supply risk

TL;DR: This paper studies the ordering decisions of a loss-averse newsvendor with supply and demand uncertainties, and demonstrates that the supply risk negatively affects the utility more than the demand risk does.