scholarly journals Performance Comparing and Analysis for Slot Allocation Model

Information ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 188
Author(s):  
ZhiJian Ye ◽  
YanWei Li ◽  
JingTing Bai ◽  
XinXin Zheng
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Decision Makers ◽  
Test Results ◽  
Slot Allocation ◽  
Allocation Model ◽  
Integer Programming Model ◽  
Linear Integer Programming ◽  
Key Factor

The purpose of this study is to ascertain whether implementation difficulty can be used in a slot allocation model as a new mechanism for slightly weakening grandfather rights; according to which, a linear integer programming model is designed to compare and analyze displacement, implementation difficulty and priority with different weights. Test results show that the implementation difficulty can be significantly reduced without causing excessive displacement and disruption of existing priorities, by weight setting while declared capacity is cleared. In addition to this, whether the movements are listed in order of descending priority or not have great impact on displacement and implementation difficulty within the slot allocation model. Capacity is surely a key factor affecting displacement and implementation difficulties. This study contributes to propose a new mechanism for slightly weakening grandfather right, which can help decision makers to upgrade slot allocation policies.

scholarly journals Performance Comparing and Analysis for Slot Allocation Model

2019 ◽  
Author(s):  
ZhiJian Ye ◽  
YanWei Li ◽  
JingTing Bai ◽  
Xinxin Zheng
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Specific Capacity ◽  
Decision Makers ◽  
Test Results ◽  
Slot Allocation ◽  
Allocation Model ◽  
Integer Programming Model ◽  
Linear Integer Programming ◽  
Key Factor

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.

scholarly journals Performance Comparing and Analysis for Slot Allocation Model

2019 ◽  
Author(s):  
ZhiJian Ye ◽  
YanWei Li ◽  
JingTing Bai ◽  
Xinxin Zheng
Keyword(s):  
Integer Programming ◽  
Model Test ◽  
Programming Model ◽  
Specific Capacity ◽  
Decision Makers ◽  
Test Results ◽  
Slot Allocation ◽  
Allocation Model ◽  
Linear Integer Programming ◽  
Key Factor

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 in this slot allocation model. 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. Next, whether the movements are listed in order of descending priority or not has a great impact on displacement and implementation difficulty in slot allocation model. Capacity is surely a key factor affecting displacement and implementation difficulties. This study contributes to propose an index of implementation difficulty to comparing and selecting suitable weights of evaluation objectives which can help decision makers to upgrade slot allocation policies.

scholarly journals Performance Comparing and Analysis for Slot Allocation Model

2019 ◽  
Author(s):  
ZhiJian Ye ◽  
YanWei Li ◽  
JingTing Bai ◽  
Xinxin Zheng
Keyword(s):  
Integer Programming ◽  
Decision Maker ◽  
Programming Model ◽  
Allocation Scheme ◽  
Slot Allocation ◽  
Allocation Model ◽  
Average Displacement ◽  
Linear Integer Programming ◽  
Key Factor ◽  
Difficulty Index

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.

scholarly journals MODEL PENJADWALAN KEBERANGKATAN BUS DENGAN STRATEGI ALTERNATING DEADHEADING: STUDI KASUS DI PO RAYA

2013 ◽  
Vol 12 (2) ◽  
pp. 1
Author(s):  
R. A. CAHYADI ◽  
A. AMAN ◽  
F. HANUM
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Integer Programming Model ◽  
Linear Integer Programming

Penjadwalan keberangkatan bus merupakan salah satu hal yang penting dalam pengelolaan perusahaan otobus untuk menekan biaya operasional. Masalah penjadwalan ini diformulasikan sebagai suatu model linear integer programming. Model ini bertujuan untuk mengatur banyaknya bus yang akan diberangkatkan dari masing-masing kota untuk memenuhi permintaan transportasi. Strategi yang digunakan untuk mengatur penjadwalan bus yaitu strategi deadheading. Strategi deadheading merupakan strategi penjadwalan bus yang dilakukan apabila terjadi ketidakseimbangan akan banyaknya penumpang di suatu kota dan adanya keterbatasan bus yang beroperasi. Model penjadwalan dengan deadheading ini merupakan salah satu upaya untuk menurunkan frekuensi keberangkatan bus sehingga dapat meningkatkan efisiensi biaya operasional.

scholarly journals Modeling Heterogeneous Fleet Vehicle Allocation Problem with Emissions Considerations

2021 ◽  
Vol 15 (1) ◽  
pp. 93-107
Author(s):  
Hande C. Kazanç ◽  
Mehmet Soysal ◽  
Mustafa Çimen
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Profit Maximization ◽  
Freight Transportation ◽  
Decision Makers ◽  
Heterogeneous Fleet ◽  
Linear Integer Programming ◽  
Scenario Analyses ◽  
Total Profit ◽  
Vehicle Allocation

Aims: This study proposes a bi-objective linear integer programming model for heterogeneous fleet VAP with emissions considerations. Profit maximization and emissions minimization objectives are employed to handle economic and environmental sustainability purposes. Background: Our literature survey shows that there is no model for the heterogeneous fleet VAP with emissions considerations that simultaneously consider vehicle heterogeneity, penalty costs for unmet demands, and emissions from transportation operations. Objective: The model is employed to also make several scenario analyses on sustainable freight logistics management to understand the trade-offs among economic and environmental objectives. In freight transportation problems, decision-makers need to be able to maintain profitability and to reduce emissions. Methods: In this study, a bi-objective linear integer programming model is proposed for a heterogeneous fleet Vehicle Allocation Problem (VAP) with emissions considerations encountered in the field of sustainable freight transportation. Results: In the numerical analyses, various practical assumptions that can be confronted by decision-makers in real life are discussed. In each analysis, total profit and emissions amounts are revealed along with several other KPIs. The results of the analyses provided in this study could also be useful in terms of understanding the relations among pillars of sustainability in VAPs. Conclusion: It is thought that the proposed model has the potential to aid decision-making processes in sustainable logistics management. In the base case analyses, the total profit obtained under profit maximization is about nine times higher than that obtained under emissions minimization. When the aim is to minimize emissions, the total emissions are found to be nearly one-tenth of that of profit maximization. Supported by also additional scenario analyses, it can be concluded that it might not economically viable to be environmentally-friendly for companies. Therefore, companies have to be encouraged or forced to take environmentally and socially responsible actions through legislation. The analyses demonstrated that various legislative policies on emissions may affect the transportation plans differently in such vehicle allocation systems.

scholarly journals AN INTEGER PROGRAMMING MODEL FOR ANALYSING IMPACTS OF DIFFERENT TRAIN TYPES ON RAILWAY LINE CAPACITY

Transport ◽  
2014 ◽  
Vol 29 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Masoud Yaghini ◽  
Nariman Nikoo ◽  
Hamid Reza Ahadi
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Integer Programming Model ◽  
Railway Line ◽  
Proposed Model ◽  
Key Factor ◽  
Railway Capacity ◽  
Using Data ◽  
Multicommodity Network Design ◽  
The Impact

The evaluation of railway line capacity is an important problem, which effects majority of problems in rail transportation planning. The railway capacity is dependent on infrastructure, traffic, and operating parameters. A key factor affecting railway line capacity is the impact of different train types. As the combination of different train types increases, more interference is generated. In this paper, for evaluation of train type interactions on railway line capacity, an integer-programming model for both line and line section is presented. The problem is formulated as a multicommodity network design model on a space-discrete time network. The railway capacity is calculated using data typically available to planners. The inputs of the model are the characteristic of each train type and railway line attributes. The model determines railway capacity based on train type mixes. In addition, this model considers impact of train types on capacity and waiting time. In order to show the features of the model, a case study is implemented in Iran Railways. The capacity tends to increase non-linearly with small incremental changes in parameters. The mixture of train types reduces the railway line capacity. The proposed model can help railway managers for long-term planning.

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