Proportionate flow shop with controllable processing times

This paper considers a special class of flow-shop problems, known as the proportionate flow shop. In such a shop, each job flows through the machines in the same order and has equal processing times on the machines. The processing times of different jobs may be different. It is assumed that all operations of a job may be compressed by the same amount which will incur an additional cost. The objective is to minimize the makespan of the schedule together with a compression cost function which is non-decreasing with respect to the amount of compression. For a bicriterion problem of minimizing the makespan and a linear cost function, an O(n log n) algorithm is developed to construct the Pareto optimal set. For a single criterion problem, an O(n2) algorithm is developed to minimize the sum of the makespan and compression cost. Copyright © 1999 John Wiley & Sons, Ltd.

Statistical analysis of extreme forest fires

Forest fires can cause extensive damage to natural resources and properties. They can also destroy wildlife habitat, affect the forest ecosystem and threaten human lives. In this paper extreme wildland fires are analysed using a point process model for extremes. The model based on a generalised Pareto distribution is used to model data on acres of wildland burnt by extreme fire in the US since 1825. A semi-parametric smoothing approach is adapted with maximum likelihood method to estimate model parameters.

Semi-Parametric Analysis of Extreme Forest Fires

Forest fires can cause extensive damage to natural resources and properties. They can also destroy wildlife habitat, affect the forest ecosystem and threaten human lives. In this paper incidences of extreme wildland fires are modelled by a point process model which incorporates time-trend. A model based on a generalised Pareto distribution is used to model data on acres of wildland burnt by extreme fire in the US since 1825. A semi-parametric smoothing approach, which is very useful in exploratory analysis of changes in extremes, is illustrated with the maximum likelihood method to estimate model parameters.

Reality-experiential history documentaries: the Trench (BBC, 2002) and Britain's modern memory of the First World War

Culloden (BBC, 1964) The Great War (BBC, 1964) 1914-18 (BBC/KCET, 1996) Haig: the Unknown Soldier (BBC, 1996) Veterans: the Last Survivors of the Great War (BBC, 1998) 1900s House (Channel 4, 1999) The Western Front (BBC, 1999) History of Britain (BBC, 2000) 1940s House (Channel 4, 2001) The Ship (BBC, 2002) Surviving the Iron Age (BBC, 2001) The Trench (BBC, 2002) Frontier House (Channel 4, 2002) Lad's Army (BBC, 2002) Edwardian Country House (Channel 4, 2002) Spitfire Ace (Channel 4, 2003) World War One in Colour (Channel 5, 2003) 1914: the War Revolution (BBC, 2003) The First World War (Channel 4, 2003) Dunkirk (BBC, 2004) Dunkirk: The Soldier's Story (BBC, 2004) D-Day to Berlin (BBC, 2004) Bad Lad's Army (ITV, 2004) Destination D-Day: Raw Recruits (BBC, 2004) Bomber Crew (Channel 4, 2004) Battlefield Britain (BBC, 2004) The Last Battle (ARTE/ZDF, 2005) Who Do You Think You Are? (BBC, 2004, 2006) The Somme (Channel 4, 2005) [From the Publisher]