In this paper, we propose a bi-objective programming model to select the optimal route for moving a consignment of goods between the anchorage area at the Gulf of Thailand to factories throughout Thailand using a mult...
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ISBN:
(纸本)9781728167855
In this paper, we propose a bi-objective programming model to select the optimal route for moving a consignment of goods between the anchorage area at the Gulf of Thailand to factories throughout Thailand using a multimodal transportation network and joint consideration of transportation mode selection. The bi-objective programming model is constructed with features based on two objective functions - minimizing transportation costs and minimizing CO2 emissions, subject to transportation jobs that should be completed before their respective due dates. The solutions are obtained by the epsilon-constraint method, after which a Pareto frontier will be plotted. The decision makers can make a decision tradeoff between the two objectives from that plot.
As a core component of the emission trading scheme (ETS), the initial allocation of carbon quotas is extremely important. Currently, most allocation methods mainly focus on the realization of a single performance goal...
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As a core component of the emission trading scheme (ETS), the initial allocation of carbon quotas is extremely important. Currently, most allocation methods mainly focus on the realization of a single performance goal, which will result in conflicts between different levels of participants. To overcome this limitation, a bi-objective programming model (BPM) with two sub-objective functions of abatement costs and carbon assets is proposed. Meanwhile, cost-oriented model (CM) and asset-oriented model (AM) are implemented as comparison approaches that represent the minimization of regional abatement costs and the maximization of individual interests, respectively. The empirical results of the Pearl River Delta (PRD) region reveal that BPM is the most efficient and feasible approach to some extent. More precisely, BPM can motivate the enthusiasm of all participants while optimizing abatement costs. With the increase of regional total quotas, the advantage of BPM becomes more and more prominent. The contribution of this paper is to present a novel method for carbon emission quota allocation, which fills the gap in the existing literature. Furthermore, the proposed method that can be deployed in other similar regions assists policymakers in enacting an effective emission reduction policy and in better understanding the objectives of economy, energy and environment. (C) 2018 Elsevier Ltd. All rights reserved.
Purpose The aim of this paper is to propose an optimization method for determining the emergency action, in which the compatibility between emergency alternatives and the collaborative relationship between departments...
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Purpose The aim of this paper is to propose an optimization method for determining the emergency action, in which the compatibility between emergency alternatives and the collaborative relationship between departments are considered. Design/methodology/approach The individual emergency cost and individual emergency effect of each emergency alternative are calculated. And the collaborative emergency cost and collaborative emergency effect associated with a pair of emergency alternatives are calculated. Then, a bi-objective programming model maximizing the total emergency effect and minimizing the total emergency cost is constructed. A novel nondominated sorting genetic algorithm II (NNSGA II) is designed to solve the constructed model, subsequently. Finally, an example is given to illustrate the use of the proposed method, and the performance of NNSGA II is evaluated through a simulation experiment. Findings This paper proposes an effective method to manage complex emergency events that requires the coordinations of multiple departments. Also, this paper provides a new algorithm to determine an appropriate emergency action that performs well in managing both the emergency cost and emergency effect. Originality/value The findings contribute to the current methods in the field of emergency management. The method is used for dealing with the individual information of emergency alternatives and the collaborative information associated with a pair of alternatives.
Meltblown nonwoven materials have poor compressive resilience due to their inherently fine fibers, and their performance cannot be guaranteed. However, with the development of science and technology, scientists have d...
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Meltblown nonwoven materials have poor compressive resilience due to their inherently fine fibers, and their performance cannot be guaranteed. However, with the development of science and technology, scientists have developed the interlayer meltblown method, and the interlayer meltblown nonwoven material with ＂Z-shaped＂ structure has been released. If a relationship model can be established to analyze the relationship between process parameters and structural variables, structural variables and product performance, it is of great practical significance to establish the mechanism of product performance regulation. To address problem 1: In this paper, the raw data is first analyzed and processed to fill in the missing interpolation rates. The rate of change of product performance parameters was calculated for each structural variable before and after interpolation for each group of experiments. The data were then visualized and analyzed, and it was concluded that all five variables before and after interpolation had similar trends and obvious correlations; the compression resilience rate was not obviously correlated. Finally, the Spearman correlation coefficient model was established, and the intercalation rate had a significant effect on compression resilience and filtration resistance, and the intercalation rate was negatively correlated with compression resilience with a correlation coefficient of -0.358, and positively correlated with filtration resistance with a correlation coefficient of 0.375. In response to question two: first the data were pre-processed, followed by a multiple linear regression model for variance testing and then a heteroskedasticity test to determine that no heteroskedasticity existed. Next, a VIF test for multicollinearity was performed and it was concluded that the regression model did not have the effect of multicollinearity. The standard regression model was then solved for and predictions were made using this model, some of the results
Container transportation is a significant guarantee to the realization of many international trades and playing a significant role in the transactions across borders. Empty container allocation and management relate t...
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ISBN:
(纸本)9781509011025
Container transportation is a significant guarantee to the realization of many international trades and playing a significant role in the transactions across borders. Empty container allocation and management relate to the degree of container utilization, the cost of empty container disposition expenses, adaptation for containers of goods sent in a timely manner and enterprise economic benefits. Through rational empty container allocation, you can reduce transportation costs under the premise of meeting the heavy container of normal transportation. At last, we could help shipping companies minimize the cost and maximize profits. Under the background of multimodal transport, this article consider of the lowest cost of the empty container allocation and minimal time of total deviation as the goal, establishing a bi-objective programming model. And through the mathematical programming software Lingo, the model is followed by a numerical example, which shows that this model is feasible.
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