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Alistair Clark
Researcher at University of the West of England
Publications - 49
Citations - 1600
Alistair Clark is an academic researcher from University of the West of England. The author has contributed to research in topics: Scheduling (production processes) & Integer programming. The author has an hindex of 20, co-authored 48 publications receiving 1427 citations. Previous affiliations of Alistair Clark include University of the West & Teesside University.
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Stochastic network models for logistics planning in disaster relief
TL;DR: A new two-stage stochastic network flow model to help decide how to rapidly supply humanitarian aid to victims of a disaster within this context is developed and it is demonstrated that the heuristic performs well for real and random instances.
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Rolling-horizon lot-sizing when set-up times are sequence-dependent
Alistair Clark,Simon J. Clark +1 more
TL;DR: In this paper, the problem of efficient lot sizing on parallel machines with sequence-dependent set-up times is modelled using a new mixed integer programming (MIP) formulation that permits multiple set-ups per planning period.
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Lot sizing and furnace scheduling in small foundries
TL;DR: In this paper, a relax-and-fix (RF) approach is developed that can also be used on a rolling horizon basis where only immediate-term schedules are implemented, and three variants of local search method are also developed and tested using instances based on the literature.
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Joint rolling-horizon scheduling of materials processing and lot-sizing with sequence-dependent setups
TL;DR: A mixed integer programming (MIP) model is developed, taking into account sequence-dependent setup costs and times, and then adapted for rolling horizon use, and a relax-and-fix solution heuristic is proposed and computationally tested against a high-performance MIP solver.
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An effective two-stage stochastic multi-trip location-transportation model with social concerns in relief supply chains
TL;DR: Experimental results based on data from the disastrous 2011 floods and landslides in the Serrana Region of Rio de Janeiro, Brazil, show that the model’s novel characteristics help get aid faster to victims and naturally enforce fairness in its distribution to disaster areas in a humanitarian spirit.