دانلود مقاله ISI انگلیسی شماره 43188
ترجمه فارسی عنوان مقاله

به حداقل رسانی خطر ابتلا به برخاست و فرود مسافر در حمل و نقل هلیکوپتر: مدل، روش و تجزیه و تحلیل

عنوان انگلیسی
Minimization of passenger takeoff and landing risk in offshore helicopter transportation: Models, approaches and analysis ☆
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
43188 2015 14 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Omega, Volume 51, March 2015, Pages 93–106

ترجمه کلمات کلیدی
حمل و نقل هلیکوپتری - خطر برخاست و فرود - برنامه ریزی ماشین آلات - تجزیه و تحلیل بدترین حالت - بحی اکتشافی
کلمات کلیدی انگلیسی
Helicopter transportation; Takeoff and landing risk; Machine scheduling; Bin-packing; Worst-case analysis; Heuristics
پیش نمایش مقاله
پیش نمایش مقاله  به حداقل رسانی خطر ابتلا به برخاست و فرود مسافر در حمل و نقل هلیکوپتر: مدل، روش و تجزیه و تحلیل

چکیده انگلیسی

Offshore petroleum industry uses helicopters to transport the employees to and from installations. Takeoff and landing represent a substantial part of the flight risks for passengers. In this paper, we propose and analyze approaches to create a safe flight schedule to perform pickup of employees by several independent flights. Two scenarios are considered. Under the non-split scenario, exactly one visit is allowed to each installation. Under the split scenario, the pickup demand of an installation can be split between several flights. Interesting links between our problem and other problems of combinatorial optimization, e.g., parallel machine scheduling and bin-packing are established. We provide worst-case analysis of the performance of some of our algorithms and report the results of computational experiments conducted on randomly generated instances based on the real sets of installations in the oil fields on the Norwegian continental shelf. This paper is the first attempt to handle takeoff and landing risk in a flight schedule that consists of several flights and lays ground for the study on more advanced and practically relevant models.