scholarly journals A continuous optimization model for a joint problem of pricing and resource allocation

2009 ◽  
Vol 43 (2) ◽  
pp. 115-143 ◽  
Author(s):  
Mustapha Bouhtou ◽  
Guillaume Erbs
Keyword(s):  
Resource Allocation ◽  
Optimization Model ◽  
Continuous Optimization ◽  
Joint Problem

Robust Optimization Model for Primary and Backup Resource Allocation in Cloud Providers

2021 ◽  
pp. 1-1
Author(s):  
Fujun He ◽  
Takehiro Sato ◽  
Bijoy Chand Chatterjee ◽  
Takashi Kurimoto ◽  
Urushidani Shigeo ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Robust Optimization ◽  
Optimization Model ◽  
Cloud Providers

scholarly journals Optimizing Bus Line Based on Metro-Bus Integration

2020 ◽  
Vol 12 (4) ◽  
pp. 1493 ◽  
Author(s):  
Junjun Wei ◽  
Kejun Long ◽  
Jian Gu ◽  
Qingling Ju ◽  
Piao Zhu
Keyword(s):  
Resource Allocation ◽  
Optimization Model ◽  
Geographical Location ◽  
Optimization Method ◽  
Line Number ◽  
Competition And Cooperation ◽  
Travel Efficiency ◽  
Geographical Space ◽  
Metro System

Metros are usually built and added on the basis of a completed bus network in Chinese cities. After the metro construction, it is faced with the problem of how to adjust and optimize the original bus lines based on the new metro system. This research mainly proposes a bus line optimization method based on bus and metro integration. In the consideration of the geographical space, the cooperation and competition relationship between bus and metro lines is qualitatively introduced according to the geographical location and service range of metro (800 m radius) and bus (500 m radius) stations. The competition and cooperation indexes are applied to define the co-opetition relationship between bus and metro lines. The bus line optimization model is constructed based on the co-opetition coefficient and Changsha Metro Line Number 2 is chosen as a case study to verify the optimization model. The results show that the positive competition, efficient cooperation, and travel efficiency between metro and bus has been significantly enhanced after optimization. Moreover, this paper provides a reasonable reference for public transport network planning and resource allocation.

scholarly journals Optimization Analysis of Supply Chain Resource Allocation in Customized Online Shopping Service Mode

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Jianming Yao ◽  
Mengjie Gu
Keyword(s):  
Resource Allocation ◽  
Supply Chain ◽  
Optimization Model ◽  
Online Shopping ◽  
Optimization Method ◽  
Ant Algorithm ◽  
Operational Characteristics ◽  
Service Patterns ◽  
Shopping Environments ◽  
Service Mode

For an online-shopping company, whether it can provide its customers with customized service is the key to enhance its customers’ experience value and its own competence. A good customized service requires effective integration and reasonable allocation of the company’s supply chain resources running in the background. Based on the analysis of the allocation of supply chain resources in the customized online shopping service mode and its operational characteristics, this paper puts forward an optimization model for the resource allocation and builds an improved ant algorithm to solve it. Finally, the effectiveness and feasibility of the optimization method and algorithm are demonstrated by a numerical simulation. This paper finds that the special online shopping environments lead to many dynamic and uncertain characters of the service demands. Different customized service patterns and their combination patterns should match with different supply chain resource allocations. The optimization model not only reflects the required service cost and delivery time in the objective function, but also considers the service scale effect optimization and the relations of integration benefits and risks. The improved ant algorithm has obvious advantages in flexibly balancing the multiobjective optimizations, adjusting the convergence speed, and adjusting the operation parameters.

scholarly journals Multi-Objective Approach for Optimization of City Logistics Considering Energy Efficiency

2020 ◽  
Vol 12 (18) ◽  
pp. 7366
Author(s):  
Mohammad Zaher Akkad ◽  
Tamás Bányai
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Supply Chain ◽  
Public Transportation ◽  
Optimization Model ◽  
Distribution System ◽  
Population Increase ◽  
City Logistics ◽  
Operation Strategy ◽  
Scheduling Problems

Urban population increase results in more supply chain operations in these areas, which leads to increased energy consumption and environmental pollution. City logistics represents a strategy of efficient freight transportation and material handling to fulfill customer and business demands. Within the frame of this paper, the authors describe an optimization model of a multi-echelon collection and distribution system, focusing on downtown areas and energy efficiency, sustainability, and emission reduction. After a systematic literature review, this paper introduces a mathematical model of collection and distribution problems, including package delivery, municipal waste collection, home delivery services, and supply of supermarkets and offices. The object of the optimization model is twofold: firstly, to design the optimal structure of the multi-echelon collection and distribution system, including layout planning and the determination of required transportation resources, like e-cars, e-bikes, and the use of public transportation; and secondly, to optimize the operation strategy of the multi-echelon supply chain, including resource allocation and scheduling problems. Next, a heuristic approach is described, whose performance is validated with common benchmark functions, such as metaheuristic evaluation. The scenario analysis demonstrates the application of the described model and shows the optimal layout, resource allocation, and operation strategy focusing on energy efficiency.

Optimization Model for Backup Resource Allocation in Middleboxes With Importance

2019 ◽  
Vol 27 (4) ◽  
pp. 1742-1755 ◽  
Author(s):  
Fujun He ◽  
Takehiro Sato ◽  
Eiji Oki
Keyword(s):  
Resource Allocation ◽  
Optimization Model
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