Alaska Fly-Fishing Expedition: Case Study Essay

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Alaska Fly-Fishing Expedition: Case Study Assessment, risks and data has been deduced from extensive research into Alaska fly-fishing expeditions. 1. Risks analysis in the Alaska fly-fishing expedition:  Risk Identification  Personal hazards during expedition. E.g. Hypothermia due to exposure of bad weather temperatures for repeated periods. Injury to head, limbs and other parts through falling, slipping and carelessness on board the vessel. Injuries also sustained during moving, transporting or storing equipment  The absence of immediate medical care and the likelihood that significant delays may occur before medical care when injured by equipment on the vessel or by their own carelessness.  The potential that…show more content…
Personal hazards during expedition. E.g. Hypothermia due to exposure of bad weather temperatures for repeated periods. Injury to head, limbs and other parts through falling, slipping and carelessness on board the vessel. Injuries also sustained during moving, transporting or storing equipment.  Highly likely to happen due to different people with different personal health issues, at least 70% of people on board expedition experience some sea sickness.  The impact is high due to illness that in extreme cases may lead to the loss of life, therefore between $9,000,000  2. The extremes weather and sea conditions -unsuitable weather conditions, including deterioration in weather, which may result in the capsize of the vessel and the death of individuals on board.  Most likely at an 80% rate to occur due to unknown and unpredictable weather conditions  The impact is high in the worst case scenario and will cost $9,000,000  3. The potential that control of the vessel might be lost, due to inadequate vessel equipment resulting in inability to maneuver and colliding with other objects, which may result in people being thrown overboard.  Less likely to happen at a rate of 30% based on past information and data  The impact is high in the worst scenario and will cost $8,000,000.  4. Fuel shortage due to miscalculation of the amount of fuel needed for the entire
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