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Liang Liang

Researcher at University of Science and Technology of China

Publications -  261
Citations -  10757

Liang Liang is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Data envelopment analysis & Supply chain. The author has an hindex of 51, co-authored 224 publications receiving 8736 citations. Previous affiliations of Liang Liang include Harbin Institute of Technology & Hefei University of Technology.

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Journal ArticleDOI

Modeling efficiency in the presence of multiple partial input to output processes

TL;DR: The current paper presents an extension to data envelopment analysis to allow for efficiency measurement in situations where there exist multiple procedures or processes for generating given output bundles.
Book ChapterDOI

DEA Models For Supply Chain or Multi-Stage Structure

TL;DR: This chapter presents several DEA-based approaches in a seller-buyer supply chain context that maximizes the joint efficiency that is modeled as the average of the seller and buyer’s efficiency scores, and both supply chain members are evaluated simultaneously.
Journal ArticleDOI

SMAA-AD Model in Multicriteria Decision-Making Problems with Stochastic Values and Uncertain Weights

TL;DR: In this article, a stochastic multicriteria acceptability analysis (SMAA-AD) model is proposed to rank the alternatives without foreknowledge of the decision maker preference on criterion weights.
Journal ArticleDOI

Subsurface Engineering Induced Fermi Level De-pinning in Metal Oxide Semiconductors for Photoelectrochemical Water Splitting.

TL;DR: In this article , a series of metal oxide semiconductors with sub-Ov were prepared through precisely regulated spin-coating and calcination, achieving superior PEC performances of 5.1, 3.4, and 2.1 mA cm-2 at 1.23 V vs. RHE.
Journal ArticleDOI

Eliminating the Inconvenience of Carrying: Optimal Pricing of Delivery Service for Retailers

TL;DR: In this article, the authors investigate the strategy optimization of delivery service for retailers in tourist attractions and show that, given the perceived value of a delivery service, the optimal strategy is to provide free delivery service when its cost is relatively low, but to not provide delivery services when the costs are relatively high.