A combined inventory routing and game theory approach to solve a real-life distribution problem

2012 ◽  
Vol 4 (1) ◽  
pp. 75 ◽  
Author(s):  
Manuel Mateo ◽  
El Houssaine Aghezzaf ◽  
Pau Vinyes
Keyword(s):  
Game Theory ◽  
Real Life ◽  
Theory Approach ◽  
Inventory Routing ◽  
Distribution Problem ◽  
Life Distribution

scholarly journals Mathematical Modeling and Distribution Design for Agricultural Products in Bangladesh

2020 ◽  
pp. 34-42
Author(s):  
Mohammad Khairul Islam ◽  
Md. Mahmud Alam ◽  
Mohammed Forhad Uddin ◽  
Gazi Mohammad Omar Faruque
Keyword(s):  
Real Life ◽  
Distribution Center ◽  
Agricultural Products ◽  
Mixed Integer ◽  
Supply Chain Network ◽  
Distribution Problem ◽  
Life Distribution ◽  
Agriculture Sector ◽  
Multi Stage ◽  
Uncertainty Parameters

In this paper, we have formulated a mixed integer linear programming (MILP) model for the distribution design of Agricultural products in Bangladesh. The scheme of distribution is very important for the supply chain network (SCN), which is choosing the suitable distribution center (DC) for the distribution of the products. This study is a real life distribution problem. To developed this model, we have collected data from various market players who are directly or indirectly involved in Agriculture sector. We have to solve this model, by using a mathematical programming language (AMPL). We have verified a multi-stage SCN, which includes producer, DC and customer. Also this model is to optimize profit, allocations of the products and most useable DC which satisfied most of the customer demands. Finally, we can analyze the profit for the uncertainty parameters.

scholarly journals Sensor Communication Rate Control Scheme Based on Inference Game Approach

2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Sungwook Kim
Keyword(s):  
Game Theory ◽  
Real Life ◽  
Decision Makers ◽  
Optimal Decision ◽  
Game Model ◽  
Uncertain Information ◽  
Theory Approach ◽  
Communication Paradigm ◽  
Control Scheme ◽  
Traditional Game

In real-life situations, decisions must be made even when limited or uncertain information is available. Therefore, the payoff of an action is not clearly known when the decision is made. Recently, game theory has become a powerful tool for analyzing the interactions between decision makers in many domains. However, the traditional game theory approach assumes that a player belief about the payoff of a strategy taken is accurate. To address this problem, we introduce a new kind of game, called an inference game, and study how degrees of uncertainty of belief about payoffs impact the outcomes of real-world games. To approximate an optimal decision, our proposed inference game model can clarify how to better manage ambiguous information. In this study, we apply our inference game model to the sensor communication paradigm and confirm that our approach achieves better performance than other existing sensor communication schemes in widely diverse Internet of Things (IoT) environments.

Resolution of Internal conflicts for conservation of the Hour Al-Azim wetland using AHP-SWOT and game theory approach

2021 ◽  
Vol 107 ◽  
pp. 105495
Author(s):  
Nima Pournabi ◽  
Somaye Janatrostami ◽  
Afshin Ashrafzadeh ◽  
Kourosh Mohammadi
Keyword(s):  
Game Theory ◽  
Theory Approach ◽  
Internal Conflicts

scholarly journals Dynamic Network Service Selection in IRS-assisted Wireless Networks: A Game Theory Approach

2021 ◽  
pp. 1-1
Author(s):  
Nguyen Cong Luong ◽  
Thi Thanh Van Nguyen ◽  
Shaohan Feng ◽  
Huy T. Nguyen ◽  
Tao Dusit Niyato ◽  
...  
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
Dynamic Network ◽  
Service Selection ◽  
Theory Approach ◽  
Network Service
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