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Qiang Li

Researcher at University of Exeter

Publications -  10
Citations -  309

Qiang Li is an academic researcher from University of Exeter. The author has contributed to research in topics: Scheduling (production processes) & Energy harvesting. The author has an hindex of 5, co-authored 10 publications receiving 200 citations. Previous affiliations of Qiang Li include Chongqing University.

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Production planning in additive manufacturing and 3D printing

TL;DR: The production planning problem in additive manufacturing and 3D printing is introduced for the first time in the literature and a mathematical model to formulate it is developed and coded in CPLEX and two different heuristic procedures, namely best-fit and adapted best- fit rules, are developed in JavaScript.
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Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system

TL;DR: It is demonstrated that the operational flexibility provided by this mechanism is able to help manufacturing system to respond demand fluctuation through balancing the capacity across the entire system.
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Auxetic piezoelectric energy harvesters for increased electric power output

TL;DR: In this article, a 2D auxetic substrate is sandwiched between two piezoelectric layers, which is capable of introducing auxetic behaviors and thus increasing the transverse stress in the piezelectric layer when subjected to a longitudinal stretching load.
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A dynamic order acceptance and scheduling approach for additive manufacturing on-demand production

TL;DR: This paper introduces the dynamic OAS problem in on-demand production with PBF systems and aims to provide an approach for manufacturers to make decisions simultaneously on the acceptance and scheduling of dynamic incoming orders to maximize the average profit-per-unit time during the whole makespan.
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Order acceptance and scheduling in direct digital manufacturing with additive manufacturing

TL;DR: The OAS problem in a competitive environment where on-demand production service providers with multiple PBF systems compete for orders dynamically released on the market is introduced.