Article
Version 1
Preserved in Portico This version is not peer-reviewed
Performance Comparing and Analysis for Slot Allocation Model
Version 1
: Received: 2 April 2019 / Approved: 3 April 2019 / Online: 3 April 2019 (11:29:24 CEST)
Version 2 : Received: 4 April 2019 / Approved: 4 April 2019 / Online: 4 April 2019 (11:19:56 CEST)
Version 3 : Received: 6 April 2019 / Approved: 9 April 2019 / Online: 9 April 2019 (12:35:20 CEST)
Version 4 : Received: 3 May 2019 / Approved: 7 May 2019 / Online: 7 May 2019 (10:29:00 CEST)
Version 2 : Received: 4 April 2019 / Approved: 4 April 2019 / Online: 4 April 2019 (11:19:56 CEST)
Version 3 : Received: 6 April 2019 / Approved: 9 April 2019 / Online: 9 April 2019 (12:35:20 CEST)
Version 4 : Received: 3 May 2019 / Approved: 7 May 2019 / Online: 7 May 2019 (10:29:00 CEST)
A peer-reviewed article of this Preprint also exists.
Ye, Z.; Li, Y.; Bai, J.; Zheng, X. Performance Comparing and Analysis for Slot Allocation Model. Information 2019, 10, 188. Ye, Z.; Li, Y.; Bai, J.; Zheng, X. Performance Comparing and Analysis for Slot Allocation Model. Information 2019, 10, 188.
Abstract
The purpose of this study was to ascertain the effect of weight setting of objectives on displacement and implementation difficulty in slot allocation model. A linear integer programming model including three kinds of evaluation objectives with different weight is designed to compare and analysis displacement and implementation difficulty in slot allocation model. The average difficulty is very sensitive to the average displacement. The difficulty of implementation can be significantly reduced by weight setting with a little increase of displacement. Movements list descent according to priority or not have great impact on displacement and implementation difficulty in slot allocation model. Capacity is a key factor affecting displacement and implementation difficulties. The difficulty index proposed in this work is very useful in identifying which slot allocation scheme is better for decision maker. Our research can promote regulator to upgrade slot allocation policies.
Keywords
Slot Allocation, Performance Comparing, Implementation Difficulty, Linear Integer Programming
Subject
Computer Science and Mathematics, Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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