Article
Version 3
Preserved in Portico This version is not peer-reviewed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 is to ascertain the effect of weight setting of objectives on displacement and implementation difficulty in slot allocation model. Therefore, a linear integer programming model including three kinds of evaluation objectives with different weights is designed to compare and analyze displacement and implementation difficulty. Test results show that the difficulty of implementation can be significantly reduced to a certain extent by weight setting with a little increase of displacement under the condition of specific capacity setting. In addition, whether the movements are listed in order of descending priority or not has a great impact on displacement and implementation difficulty in the model. Capacity is surely a key factor affecting displacement and implementation difficulties. This study contributes to proposing an index of implementation difficulty for comparing and selecting suitable weights of evaluation objectives which can help decision makers 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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