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Tower-Based Greenhouse Gas Measurement network design——The National Institute of Standards and Technology North East Corridor Testbed

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Advances in Atmospheric Sciences 2017年第9期34卷 1095-1105页

作者： Israel LOPEZ-COTO Subhomoy GHOSH Kuldeep PRASAD James WHETSTONE National Institute of Standards and Technology

The North-East Corridor （NEC） Testbed project is the 3rd of three NIST （National Institute of Standards and Technology） greenhouse gas emissions testbeds designed to advance greenhouse gas measurements capabilities. A design approach for a dense observing network combined with atmospheric inversion methodologies is described. The Advanced Research Weather Research and Forecasting Model with the Stochastic Time-Inverted Lagrangian Transport model were used to derive the sensitivity of hypothetical observations to surface greenhouse gas emissions （footprints）. Unlike other network design algorithms, an iterative selection algorithm, based on a k-means clustering method, was applied to minimize the similarities between the temporal response of each site and maximize sensitivity to the urban emissions contribution. Once a network was selected, a synthetic inversion Bayesian Kalman filter was used to evaluate observing system performance. We present the performances of various measurement network configurations consisting of differing numbers of towers and tower locations. Results show that an overly spatially compact network has decreased spatial coverage, as the spatial information added per site is then suboptimal as to cover the largest possible area, whilst networks dispersed too broadly lose capabilities of constraining flux uncertainties. In addition, we explore the possibility of using a very high density network of lower cost and performance sensors characterized by larger uncertainties and temporal drift. Analysis convergence is faster with a large number of observing locations, reducing the response time of the filter. Larger uncertainties in the observations implies lower values of uncertainty reduction. On the other hand, the drift is a bias in nature, which is added to the observations and, therefore, biasing the retrieved fluxes.

关键词： greenhouse gases network design clustering analysis Kalman filter OSSE

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Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm

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Journal of Central South University 2012年第2期19卷 482-487页

作者：周鲜成赵志学周开军贺彩虹 School of Computer and Electronic Engineering Hunan University of Commerce School of Finance Hunan University of Commerce

As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.

关键词： genetic particle swarm optimization closed-loop supply chain remanufacturing network design reverse logistics

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Time-varying road network design for urban hazmat transportation

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Journal of Management Science and Engineering 2023年第4期8卷 558-569页

作者： Jingyi Chen Qiuchen Gu Hanwen Yu Wei Zhou Tijun Fan School of Business East China University of Science and TechnologyShanghai 200237China Information&Operations Management Department ESCP Business SchoolParis 75015France School of Economics and Management Minjiang UniversityFuzhou 350108China

Hazmat transportation in cities faces significant risks that may cause catastrophic losses to *** the perspective of the regulator,the main responsibility is to mitigate hazmat transport risk by determining the availability of road networks to hazmat *** on the time-variant population distribution,the hazmat transport risk was assessed via the total population exposure associated with the resident and variable populations at different *** propose a risk-minimizing urban hazmat road network design model for multiple types of hazmats,considering time-varying *** model was applied to a realistic case study of hazmat transportation in a densely populated urban area with complex traffic in Shanghai,China.

关键词： Hazmat transport Roadclosure Time-varying traffic network design Population exposure Urbanenvironment

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Reliability supply chain network design model for perishable products

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Journal of Southeast University(English Edition) 2007年第S1期23卷 94-98页

作者：于海生赵林度东南大学经济管理学院南京210096

The classical supply chain network(SCN)design problem is extended,where the candidate facilities are subject to failure and the products are prone to elapsed time ***,the reliable SCN design problem is defined by introducing the probability that a facility may be prone to inactivity based on the analysis of perishable product *** perishable product SCN design problem is formulated as a 0-1 integer programming *** objective is to minimize the weighted sum of the operating cost(the fixed plus transportation cost)and the expected failure *** then,the perishable product SCN design model is discussed and solved using the genetic algorithm(GA).The results show how to generate the tradeoff curve between the operating costs and the expected failure *** these tradeoff curves demonstrate empirically that substantial improvements in reliability are often possible with minimal increase in the operating costs.

关键词： supply chain network perishable product network design reliability

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Intermodal Freight network design for Transport of Perishable Products

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Open Journal of Optimization 2016年第4期5卷 120-139页

作者： Maxim A. Dulebenets Eren E. Ozguven Ren Moses Mehmet B. Ulak Department of Civil & Environmental Engineering Florida A&M University-Florida State University Tallahassee FL USA

The amount of perishable products transported via the existing intermodal freight networks has significantly increased over the last years. Perishable products tend to decay due to a wide range of external factors. Supply chain operations mismanagement causes waste of substantial volumes of perishable products every year. The heretofore proposed mathematical models optimize certain supply chain processes and reduce decay of perishable products, but primarily deal with local production, inventory, distribution, and retailing of perishable products. However, significant quantities of perishable products are delivered from different continents, which shall increase the total transportation time and decay potential of perishable products as compared to local deliveries. This paper proposes a novel optimization model to design the intermodal freight network for both local and long-haul deliveries of perishable products. The objective of the model aims to minimize the total cost associated with transportation and decay of perishable products. A set of piecewise approximations are applied to linearize the non-linear decay function for each perishable product type. CPLEX is used to solve the problem. Comprehensive numerical experiments are conducted using the intermodal freight network for import of the seafood perishable products to the United States to draw important managerial insights. Results demonstrate that increasing product decay cost may significantly change the design of intermodal freight network for transport of perishable products, cause modal shifts and affect the total transportation time and associated costs.

关键词： Freight Transportation network design Perishable Products Shelf Life Optimization

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Implementation of Hybrid Genetic Algorithm for CLSC network design Problem—A Case Study on Fashion Leather Goods Industry

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American Journal of Operations Research 2016年第4期6卷 300-316页

作者： Muthusamy Aravendan Ramasamy Panneerselvam Department of Leather design (Footwear & Products) National Institute of Fashion Technology Chennai India Department of Management Studies School of Management Pondicherry University Pondicherry India

The implementation of closed loop supply chain system is becoming essential for fashion leather products industry to ensure an economically sustainable business model and eco-friendly industrial practice as demanded by the environmental regulations, consumer awareness and the prevailing social consciousness. In this context, this research work addresses a closed loop supply chain network problem of fashion leather goods industry, with an objective of minimizing the total cost of the entire supply chain and also reducing the total waste from the end of life product returns. The research work commenced with a literature review on the reverse and closed loop supply chain network design problems of fashion and leather goods industry dealt in the past. Then, the identified CLSCND problem is solved using a mathematical model based on Mixed Integer Non-Linear Programme (MINLP) and then a suitable Hybrid Genetic Algorithm (HGA) developed for the CLSCND is implemented for obtaining optimum solution. Both the MINLP model and HGA are customized as per the CLSCND problem chosen and implemented for the industrial case of an Indian Fashion Leather Goods Industry. Finally, the solutions obtained for MINLP model in LINGO 15 and for HGA in *** platform are compared and presented. The optimum solution obtained from the suitable HGA is illustrated as an optimum shipment pattern for the closed loop supply chain network design problem of the fashion leather goods industry case.

关键词： Industry Case CLSC Fashion Products Leather Goods Luggage Goods Hybrid Genetic Algorithm (HGA) Meta-Heuristics MINLP network design Reverse Supply Chain

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Partitioning algorithm for PON network design

Partitioning algorithm for PON network design

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2010 The 3rd International Conference on Computational Intelligence and Industrial Application (PACIIA2010)

作者： Weicheng Xiong School of Computer Wuhan University Wuhan China Chanle Wu and Libing Wu School of Computer Wuhan University Wuhan China Xiaojun Guo Yibo Chen and Ming Xie School of Computer Wuhan University Wuhan China

Optical access technology has quickly got a worldwide development. Currently,the deployment of equipment and fiber lines in the optical access network need professionals to design. But,because the lack of a unified standard,it is difficult to make the network reasonable. By analyzing the PON architecture model,this article talks about an improved partitioning algorithm for PON network design. By entering some parameters,it can automatically calculate the number and configuration of OLT,which can help to optimize the network layout,and save the network construction costs.

关键词： PON network design Partitioning algorithm

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Multi-period Reliable network design of Fourth Party Logistics base on Krill Herd Algorithm

Multi-period Reliable Network Design of Fourth Party Logisti...

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第32届中国控制与决策会议

作者： Jia Li Rui Li Yanqiu Liu School of Management Shenyang University of Technology

In order to make the Fourth Party Logistics（4 PL） system operate safely and efficiently in dynamic environment,the multi-period reliable network design of 4 PL with consideration of random disruptions is studied.A mathematical model is formulated,which maximizes the reliability of the 4 PL system subjective to investment *** on the NP-hard characteristic of the problem,the Krill Herd Algorithm（KHA） and Artificial Fish Swarm Algorithm（AFSA） are presented and the performance of the algorithm is tested by simulation *** to the simulation of MATLAB,the KHA performs better in effectiveness and stability than the *** makers can invest in redundant resources to improve the reliability of the 4 PL network considering the investment cost constraint.

关键词： Fourth party logistics Reliability optimization network design Krill herd algorithm

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network Engineering Project design of Teaching Based on Process Simulation

Network Engineering Project Design of Teaching Based on Proc...

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2013年教育技术与管理科学国际会议

作者： Fang Fang Yiqin Lu network Engineering and Research Center South China Univ. of Technology

A new teaching mode for network design is proposed, which is based on simulating the process of network engineering. The teaching mode can help students to master the necessary designing skills of both small Enterprise LANs and WANs. By simulating the upgrade of networks of a cultural center, ,the details of design processes are exhibited, such as collecting customer requirements, translating those requirements into equipment and protocol needs, and creating a network topology which addresses the needs of the customer. Students are familiarized with how to create and implement a design proposal for a virtual customer. This kind of teaching mode prepares the students with the skills required for entry-level Pre-Sales Support and entry-level network design jobs.

关键词： network Engineering Simulation network design Teaching Mode

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Models and Algorithm for Stochastic network designs

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Tsinghua Science and Technology 2009年第3期14卷 341-351页

作者： Anthony Chen Juyoung Kim Seungjae Lee Jaisung Choi Department of Civil and Environmental Engineering Utah State UniversityLogan Utah 84322-4110 USA Center for National Transport Database The Korea Transport Institute2311 DaehwaDong Ilsan-Gu Goyang City Korea Department of Transportation Engineering University of SeoulDongdaemoon-Ku Seoul Korea

The network design problem （NDP） is one of the most difficult and challenging problems in transportation. Traditional NDP models are often posed as a deterministic bilevel program assuming that all relevant inputs are known with certainty. This paper presents three stochastic models for designing transportation networks with demand uncertainty. These three stochastic NDP models were formulated as the expected value model, chance-constrained model, and dependent-chance model in a bilevel programming framework using different criteria to hedge against demand uncertainty. Solution procedures based on the traffic assignment algorithm, genetic algorithm, and Monte-Carlo simulations were developed to solve these stochastic NDP models. The nonlinear and nonconvex nature of the bilevel program was handled by the genetic algorithm and traffic assignment algorithm, whereas the stochastic nature was addressed through simulations. Numerical experiments were conducted to evaluate the applicability of the stochastic NDP models and the solution procedure. Results from the three experiments show that the solution procedures are quite robust to different parameter settings.

关键词： user equilibrium traffic assignment network design bilevel program stochastic program

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