Air Transport Cost Optimization Model Considering Low Carbon Cost

2020 ◽  
Author(s):  
Xing Xu ◽  
Xubiao Yang ◽  
Chang Liu
Keyword(s):  
Optimization Model ◽  
Cost Optimization ◽  
Air Transport ◽  
Transport Cost ◽  
Low Carbon ◽  
Carbon Cost

scholarly journals Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

2021 ◽  
Vol 13 (4) ◽  
pp. 1929
Author(s):  
Yongmao Xiao ◽  
Wei Yan ◽  
Ruping Wang ◽  
Zhigang Jiang ◽  
Ying Liu
Keyword(s):  
Optimization Model ◽  
Optimization Design ◽  
Design Method ◽  
Low Cost ◽  
Route Optimization ◽  
Low Carbon ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Blank Design ◽  
Process Route

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

A cost optimization model for 100% renewable residential energy supply systems

Energy ◽  
2012 ◽  
Vol 48 (1) ◽  
pp. 118-127 ◽  
Author(s):  
Christian Milan ◽  
Carsten Bojesen ◽  
Mads Pagh Nielsen
Keyword(s):  
Optimization Model ◽  
Energy Supply ◽  
Cost Optimization ◽  
Residential Energy ◽  
Supply Systems ◽  
Energy Supply Systems

scholarly journals A Cost Optimization Model for Multiresource Leveling Problem without Project Duration Constraint

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Qingyou Yan ◽  
Qian Zhang ◽  
Xin Zou
Keyword(s):  
Optimization Model ◽  
Cost Optimization ◽  
Resource Usage ◽  
Project Duration ◽  
Resource Demand ◽  
Resource Leveling ◽  
Proposed Model ◽  
Liquidated Damages ◽  
The Relationship

The study of traditional resource leveling problem aims at minimizing the resource usage fluctuations and obtaining sustainable resource supplement, which is accomplished by adjusting noncritical activities within their start and finish time. However, there exist limitations in terms of the traditional resource leveling problem based on the fixed project duration. This paper assumes that the duration can be changed in a certain range and then analyzes the relationship between the scarce resource usage fluctuations and project cost. This paper proposes an optimization model for the multiresource leveling problem. We take into consideration five kinds of cost: the extra hire cost when the resource demand is greater than the resource available amount, the idle cost of resource when the resource available amount is greater than the resource demand, the indirect cost related to the duration, the liquidated damages when the project duration is extended, and the incentive fee when the project duration is reduced. The optimal objective of this model is to minimize the sum of the aforementioned five kinds of cost. Finally, a case study is examined to highlight the characteristic of the proposed model at the end of this paper.

scholarly journals Redundancy Optimization of an Uncertain Parallel-Series System with Warm Standby Elements

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Linmin Hu ◽  
Wei Huang ◽  
Guofang Wang ◽  
Ruiling Tian
Keyword(s):  
Optimization Algorithm ◽  
Optimization Model ◽  
Cost Minimization ◽  
Cost Optimization ◽  
Series System ◽  
Uncertain Measure ◽  
Uncertain Variables ◽  
Warm Standby ◽  
Parallel Series ◽  
Redundancy Optimization

The redundancy optimization problem is formulated for an uncertain parallel-series system with warm standby elements. The lifetimes and costs of elements are considered uncertain variables, and the weights and volumes of elements are random variables. The uncertain measure optimization model (UMOM), the uncertain optimistic value optimization model (UOVOM), and the uncertain cost optimization model (UCOM) are developed through reliability maximization, lifetime maximization, and cost minimization, respectively. An efficient simulation optimization algorithm is provided to calculate the objective values and optimal solutions of the UMOM, UOVOM, and UCOM. A numerical example is presented to illustrate the rationality of the models and the feasibility of the optimization algorithm.

scholarly journals Potential of Power-to-Methane in the EU energy transition to a low carbon system using cost optimization

2018 ◽  
Vol 232 ◽  
pp. 323-340 ◽  
Author(s):  
Herib Blanco ◽  
Wouter Nijs ◽  
Johannes Ruf ◽  
André Faaij
Keyword(s):  
Cost Optimization ◽  
Energy Transition ◽  
Low Carbon ◽  
Carbon System ◽  
The Eu
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