The Role of Freighter Aircraft in a Full-Service Network Airline Air Freight Services: The Case of Qantas Freight

<p>The dedicated all-cargo aircraft market is vital to the global economy. Freighter aircraft now carry around 56 per cent of world air cargo traffic. Using an in-depth case study research design, this study examined the Qantas Freight Boeing B747-400 and B767-300 freighter aircraft route network design during the 2017/2018 Northern Winter Flight schedule period, which was in effect from the 29th October 2017 to March 24th, 2018. The qualitative data were examined by document analysis. The study found that Qantas Freight deploy their leased B747-400 freighter aircraft on a route network that originates in Sydney and incorporates key markets in Thailand and China with major markets in the United States. The Boeing B767-300 freighter aircraft operated 5 services per week on a Sydney/Auckland/Christchurch/Sydney routing as a well as a weekly Sydney/Hong Kong/Sydney service. The Boeing B747-400 freighter services could generate 114,755,020 available freight tonne kilometres (AFTKs) over the schedule period. The Boeing B767-300 freighter aircraft could generate 46,974,1440 AFTKs. The Qantas Freight route network and freighter fleet is underpinned by Australia’s liberalized freighter aircraft policy, the “Open Skies” agreement between Australia and China – which permits the onward carriage of cargo traffic across the trans-Pacific – and the liberalized “open skies” agreement with New Zealand.</p>

Modelling a Nurse Shift Schedule with Multiple Preference Ranks for Shifts and Days-Off

When it comes to nurse shift schedules, it is found that the nursing staff have diverse preferences about shift rotations and days-off. The previous studies only focused on the most preferred work shift and the number of satisfactory days-off of the schedule at the current schedule period but had few discussions on the previous schedule periods and other preference levels for shifts and days-off, which may affect fairness of shift schedules. As a result, this paper proposes a nurse scheduling model based upon integer programming that takes into account constraints of the schedule, different preference ranks towards each shift, and the historical data of previous schedule periods to maximize the satisfaction of all the nursing staff's preferences about the shift schedule. The main contribution of the proposed model is that we consider that the nursing staff’s satisfaction level is affected by multiple preference ranks and their priority ordering to be scheduled, so that the quality of the generated shift schedule is more reasonable. Numerical results show that the planned shifts and days-off are fair and successfully meet the preferences of all the nursing staff.