C
Chandra Ade Irawan
Researcher at The University of Nottingham Ningbo China
Publications - 33
Citations - 581
Chandra Ade Irawan is an academic researcher from The University of Nottingham Ningbo China. The author has contributed to research in topics: Offshore wind power & Computer science. The author has an hindex of 11, co-authored 27 publications receiving 371 citations. Previous affiliations of Chandra Ade Irawan include University of Portsmouth & University of Kent.
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Optimisation of maintenance routing and scheduling for offshore wind farms
TL;DR: An optimisation model and a solution method for maintenance routing and scheduling at offshore wind farms are proposed that finds the optimal schedule for maintaining the turbines and the optimal routes for the crew transfer vessels to service the turbines along with the number of technicians required for each vessel.
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A multi-criteria port suitability assessment for developments in the offshore wind industry
TL;DR: In this article, the authors investigated the logistics capabilities of offshore wind ports, namely physical characteristics, connectivity and layout of the port, for supporting the installation and operation and maintenance phases of off-shore wind projects.
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Bi-objective optimisation model for installation scheduling in offshore wind farms
TL;DR: A bi-objective optimisation using a compromise programming approach is proposed for installation scheduling of an offshore wind farm and the proposed metaheuristic approaches produce interesting results as the optimal solution for some cases is obtained.
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Strategic supplier relationships and supply chain resilience: Is digital transformation that precludes trust beneficial?
TL;DR: In this article, the authors investigate the role that communication, trust and digital transformation can play in the relationship between joint problem-solving and supply chain resilience, and show that trust is only effective when applied within the right context.
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Hybrid meta-heuristics with VNS and exact methods: application to large unconditional and conditional vertex $$p$$p-centre problems
TL;DR: These are the largest instances solved for unconditional and conditional vertex $$p$$p-centre problems and the two proposed meta-heuristics yield competitive results for both classes of problems.