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Order allocation of logistics service supply chain with fairness concern and demand updating: model analysis and empirical examination

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ANNALS OF OPERATIONS RESEARCH 2018年第1-2期268卷 177-213页

作者： Liu, Weihua Wang, Shuqing Zhu, DongLei Wang, Di Shen, Xinran Tianjin Univ Coll Management & Econ 92 Weijin Rd Tianjin 300072 Peoples R China

Regarding a two-echelon supply chain consisting of a logistics service integrator (LSI) and several functional logistics service providers (FLSPs), this paper establishes a two-stage order allocation model considering demand updating and the FLSPs' fairness preferences. This model is a multi-objective programming model, whose goal is to maximize profits of the LSI and the total utility of FLSPs. The ideal point method is used to obtain the optimal solution. In the numerical example, the impacts of FLSPs' behavioral parameters and demand update parameters on the order allocation in the social services network are discussed. Besides, multi-methodological method is used to verify the theoretical perspectives through an empirical study of Tianjin SND Logistics Company. Our study obtains a few important conclusions. For example, when demand of the second stage is updated, there is an optimal updating time maximizing the supply chain performance. Increased demand of the second stage results in greater supply chain performance. When the demand during the second stage decreases, the bigger the difference of the fairness preference coefficients among FLSPs, the greater the LSI's profits and the lower the FLSPs' total utility will be. However, the difference of the fairness preference coefficients among FLSPs has little influence on the LSI's profits and total utility of the FLSPs, when the demand during the second stage increases.

关键词： Social network Logistics service supply chain Order allocation Fairness preference Demand updating multi-objective programming

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The Ancillary Service Purchase Model in the Background of High Proportion of Renewable Energy Connecting with the Grid

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INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS 2018年第6期19卷

作者： Dong, Fugui Jin, Chunxu Shi, Lei Shang, Meimei North China Elect Power Univ Sch Econ & Management Beijing 102206 Peoples R China North China Elect Power Univ Beijing Key Lab New Energy & Low Carbon Dev Beijing 102206 Peoples R China

With the trend of high proportion of renewable energy connecting with grid, peaking services has played a crucial role in the integration of wind power and other renewable energy sources. The current peaking service takes into account only the cost of thermal power units that providing peaking service without considering the impact of its own reliability on the peaking service and the safe operation of the power system. In this paper, the traditional uniform clearing mechanism has been improved, and the reliability factor of ancillary service provided by thermal power units has been included in the previous quotation-based sorting rule, and a multi-objective programming optimal purchasing model considering synergistic capacity cost and power system stability is established. According to the optimal solution of each objective, Pareto optimal solution of multi-objective programming problem is obtained by the ideal point method. Then the ancillary service price and purchase cost are obtained based on the solution.

关键词： ancillary services pricing mechanism multi-objective programming reliability

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A two-stage layout method for functional areas in logistics park

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ADVANCES IN MECHANICAL ENGINEERING 2019年第3期11卷

作者： Luo, Qingyu Zhu, Jiaxiang Jia, Hongfei Xu, Yingjun Jilin Univ Coll Transportat Changchun 130022 Jilin Peoples R China

The layout of functional areas has a great impact on the implementing of a logistics park. Existing layout models with multiple planning objectives and influencing factors are too complex to be solved. This article puts forward a two-stage layout method for functional areas in logistics parks combining a layer-by-layer analysis process and a multi-objective programming model. Base on the rational setting of functional areas, the optimization of operational processes and the quantification of the interrelations between functional areas, some green logistic goals are achieved in two stages. In the first stage, the method aims at maximizing the comprehensive relationship among functional areas and obtaining the layout structure by the layer-by-layer analysis process. In the second stage, a multi-objective planning model is established to get the location and shape of each functional area, with the goals of minimizing the material handling costs and maximizing the spatial utilization rate. A genetic algorithm is designed to solve the model. Finally, an example is put forward to verify the feasibility of the two-stage layout method, and the comparison with the previous general model is presented. This article provides a new method for the layout planning of function areas in green logistics parks.

关键词： Layout design structural analysis multi-objective programming genetic algorithm green logistics

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A Convex Optimization Algorithm for Electricity Pricing of Charging Stations

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ALGORITHMS 2019年第10期12卷 208-208页

作者： Zhang, Jing Zhan, Xiangpeng Li, Taoyong Jiang, Linru Yang, Jun Zhang, Yuanxing Diao, Xiaohong Han, Sining China Elect Power Res Inst Co Ltd Beijing Engn Technol Res Ctr Elect Vehicle Chargi Beijing 100192 Peoples R China Wuhan Univ Sch Elect Engn & Automat Wuhan 430072 Hubei Peoples R China

The problem of electricity pricing for charging stations is a multi-objective mixed integer nonlinear programming. Existing algorithms have low efficiency in solving this problem. In this paper, a convex optimization algorithm is proposed to get the optimal solution quickly. Firstly, the model is transformed into a convex optimization problem by second-order conic relaxation and Karush-Kuhn-Tucker optimality conditions. Secondly, a polyhedral approximation method is applied to construct a mixed integer linear programming, which can be solved quickly by branch and bound method. Finally, the model is solved many times to obtain the Pareto front according to the scalarization basic theorem. Based on an IEEE 33-bus distribution network model, simulation results show that the proposed algorithm can obtain an exact global optimal solution quickly compared with the heuristic method.

关键词： charging station convex optimization multi-objective programming polyhedral approximation scaling method

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Framework for mine-water inrush scene constructing and drilling trajectory planning: a case study in the Zijiang Coal Mine, China

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ARABIAN JOURNAL OF GEOSCIENCES 2019年第16期12卷 499-499页

作者： Zhang, Jian Wu, Qiang Hao, Duohu China Univ Min & Technol Beijing 100083 Peoples R China Natl Engn Res Ctr Coal Mine Water Hazard Controll Beijing 100083 Peoples R China

Mine-water inrush accidents have been threatening mining safety and been one of the major hazard sources of coal mines in China. Three-dimensional (3D) geological models can aid with mine safety. This study proposes a framework of mine-water inrush scene constructing and drilling trajectory planning using 3D geological models. The framework is applied to the Zijiang Coal Mine in South China. First, based on the Object-Oriented Graphics Rendering Engine (OGRE), a 3D geological visualization platform for the coal mine is constructed using C++. Second, water-particle models are constructed using the Realflow and imported into the platform. Third, surface functions are fitted and expressed by polynomial equations. Subsequently, the theoretical shortest path is calculated with Dijkstra's algorithm. Then, a multi-objective programming model is constructed to calculate the satisfactory solution of time and engineering cost. Based on this framework, the models of water-inrush scene and drilling trajectory of the Zijiang Coal Mine are constructed. For comparison, field trials are conducted to show the difference between the theoretical and actual trajectories. Finally, the results show that the theoretical inclined trajectory and the actual inclined borehole consume less time, and the uncertainty of 3D data and the complexity of geological bodies. The framework provides a technical support for mine safety and has great potential in future engineering applications.

关键词： Mine-water inrush scene Drilling trajectory planning multi-objective programming

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multi-objective model of waste transportation management for crude palm oil industry 4

Multi-objective model of waste transportation management for...

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4th International Conference on Operational Research (InteriOR)

作者： Silalahi, Meslin Mawengkang, Herman Syahputri, Nenna Irsa Univ Tapanuli Siborong Borong Indonesia Univ Sumatera Utara Dept Math Medan Indonesia STT Harapan Medan Tekn Informat Medan Indonesia

The crude palm oil industry is an agro-industrial commodity. The global market of this industry has experienced rapid growth in recent years, such that it has a strategic value to be developed for Indonesian economy. Despite these economic benefits there are a number of environmental problems at the factories, such as high water consumption, the generation of a large amount of wastewater with a high organic content, and the generation of a large quantity of solid wastes and air pollution. In terms of waste transportation, we propose a multiobjective programming model for managing business environmental risk in a crude palm oil manufacture which gives the best possible configuration of waste management facilities and allocates wastes to these facilities. Then we develop an interactive approach for tackling logistics and environmental risk production planning problem for the crude palm oil industry.

关键词： Crude-Palm oil Environmental Production Planning multi-objective programming Modeling sustainable optimization

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A Mathematical Model of Flat Folding Table 9

A Mathematical Model of Flat Folding Table

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9th International Conference on Information Technology in Medicine and Education (ITME)

作者： Liu, Yan Univ Jinan Sch Mat Sci & Engn Jinan Shandong Peoples R China

ISBN: (纸本)9781538677438

In the design of folding table, we should consider three evaluation indexes: good product stability, easy processing and least material. The stability of the product is characterized by the angle of tilt of the legs and the distance between the legs of the table through force analysis;the convenience of processing is characterized by minimizing the maximum slot length. Therefore, based on these three indicators, a multi-objective programming model is established. In solving the model, the weight with good stability, convenient processing and least material consumption is obtained by AHP, and the multi-objective programming is transformed into single-objective programming. For the given height of the folding table and the diameter of the circular table, the optimum design and machining parameters such as the position of the steel bar and the size of the plate are obtained according to the model.

关键词： Product Stability Slot Length multi-objective programming Mathematical Model

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Solving stochastic programming problems using new approach to Differential Evolution algorithm

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EGYPTIAN INFORMATICS JOURNAL 2017年第2期18卷 75-86页

作者： Mohamed, Ali Wagdy Cairo Univ Inst Stat Studies & Res Operat Res Dept Giza 12613 Egypt

This paper presents a new approach to Differential Evolution algorithm for solving stochastic programming problems, named DESP. The proposed algorithm introduces a new triangular mutation rule based on the convex combination vector of the triangle and the difference vector between the best and the worst individuals among the three randomly selected vectors. The proposed novel approach to mutation operator is shown to enhance the global and local search capabilities and to increase the convergence speed of the new algorithm compared with conventional DE. DESP uses Deb's constraint handling technique based on feasibility and the sum of constraint violations without any additional parameters. Besides, a new dynamic tolerance technique to handle equality constraints is also adopted. Two models of stochastic programming (SP) problems are considered: Linear Stochastic Fractional programming Problems and multi-objective Stochastic Linear programming Problems. The comparison results between the DESP and basic DE, basic particle swarm optimization (PSO), Genetic Algorithm (GA) and the available results from where it is indicated that the proposed DESP algorithm is competitive with, and in some cases superior to, other algorithms in terms of final solution quality, efficiency and robustness of the considered problems in comparison with the quoted results in the literature. (C) 2016 Production and hosting by Elsevier B.V. on behalf of Faculty of Computers and Information, Cairo University.

关键词： Differential evolution Stochastic programming Fractional programming multi-objective programming

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Distributed power generation programming with waste incineration generation and hybrid energy storage equipment

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2017年第4期33卷 2269-2279页

作者： Song, Zongyun Xiao, Xinli Niu, Dongxiao North China Elect Power Univ Sch Econ & Management Beinong St 2 Beijing 102206 Peoples R China

Under the current situation, distributed power generation becomes key solutions to the problems of environmental pollution and resources shortage that the electricity industry is facing. Rational power generation programming schemes will reduce energy consumption, and optimize energy structure on the premise of meeting the increasing requirements for electric energy. The multi-objective programming model was established to optimize economical and technical objectives of distributed generation system (DGS) containing waste incineration generation (WIG) and hybrid energy storage equipment (HESE), and then memorized-firefly algorithm (M-FA) is introduced to determine the model and installed capacity of various power generation units in distributed generation system. The case study demonstrated that the proposed programming model can obtain rational solutions with taking various objectives and constraints into consideration, and the M-FA shows the abilities of global search and better convergence in solving power generation programming problems, which will provide theoretic and practical references for the multi-objective programming problems of distributed generation system.

关键词： Distributed generation system multi-objective programming waste incineration generation hybrid energy storage equipment memorized-firefly algorithm

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A credit rating model based on a customer number bell-shaped distribution

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MANAGEMENT DECISION 2018年第5期56卷 987-1007页

作者： Zhang, Yajing Chi, Guotai Dalian Univ Technol Fac Management & Econ Dalian Peoples R China

Purpose - The purpose of this paper is to split loan customers to different credit ratings to ensure the results that show that customers with lower credit ratings have higher loss rates, and the number of customers that satisfies the bell-shaped distribution. Hence, the number of credit ratings, the distribution of the rated obligors among ratings can achieve a meaningful differentiation of risk, which can avoid the loan pricing confusion. Design/methodology/approach - The authors introduce a multi-objective programming to establish the credit rating model. objective function 1 minimizes the absolute difference between the obligor number proportion and perfect client proportion, following a standard normal distribution. objective function 2 minimizes the total difference of the deviation between two adjacent credit ratings' loss rates. This study combines the two objective functions to ensure the obligor number distribution and the monotonicity of the loss rate, and applies genetic algorithm to solve the model. Findings - This study's analysis is based on data from 6,155 enterprises, provided by a Chinese bank and Prosper P2P loan data. The empirical results reveal that the proposed approach can ensure the balance between both criteria and avoid undue concentration of obligors in particular grades. Originality/value - The proposed credit model could help building a reasonable credit rating system, which is the prerequisite of loan pricing;thus, inaccurate credit rating can cause incorrect loss rate estimates and loan pricing.

关键词： Credit rating Bell-shaped distribution Loss rate multi-objective programming

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