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.

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 Advanced optimization model of resource allocation in the B2C supply chain

2018 ◽  
Vol 38 (3) ◽  
pp. 328-337 ◽  
Author(s):  
Firdaous Zair ◽  
Naoufal Sefiani ◽  
Mohamed Fourka
Keyword(s):  
Resource Allocation ◽  
Supply Chain ◽  
Supply Chains ◽  
Optimization Model ◽  
Critical Role ◽  
Optimization Approach ◽  
Online Sales ◽  
Efficient Management ◽  
Selection Of

Resource allocation plays a critical role in the strategic, tactical, and operational planning of the supply chain. The study focuses on aspects of resource allocation in the case of pure players, manufacturers, and Clicks & Mortars that have launched online sales. These e-retailers offer a wide selection of customized services and so need an efficient management on every level and process. The goal of the research was to explore a concrete approach to improve customer satisfaction, reduce costs and risks and to maintain the benefits of e-retailers and of its collaborators. Our contribution is a decision support system and a tool to improve operational resources allocation in B2C supply chains. Hence, we started by modeling operations and the different scenarios. Then we introduced an optimization model founded on the analysis of resource allocation in B2C supply chains and applicable on any B2C e-retailer. It helps in choosing the most optimal resources for each order. The model is based on a multi-objective optimization approach that takes into consideration the collaboration of resources throughout the supply chain operations process including dynamic costs and collaborator capabilities as well as associated risks and the quality of delivered services.

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
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