Table of Content

25 January 2018, Volume 27 Issue 1

Previous Issue    Next Issue

Theory Analysis and Methodology Study

Study on Decontamination Equipment Allocation during Off-site Nuclear Emergency Based on System Dynamics

JI Ya-min, QI Ming-liang, JING Qi

2018, 27(1):  1-6.  DOI: 10.12005/orms.2018.0001

Asbtract ( )   PDF (1050KB) ( )  

References | Related Articles | Metrics

The problem of decontamination equipment allocation is one of the important links of off-site nuclear emergency preparedness. This paper establishes the decontamination system dynamics model, according to the operation characteristics of radiation decontamination process and considering the influence of crowd density on the decontamination process. We simulate and observe the change of the waiting people’s number in the system and total decontamination time, through designing different equipment allocation scheme within different radiation scenarios. The simulation results show that the number and proportion of detection I and decontamination equipment allocation would influence the decontamination progress. This method can provide decision-making basis for off-site nuclear emergency decontamination equipment allocation considering the equipment’s cost and decontamination area conditions.

Interval-valued Intuitionistic Fuzzy Multi-attribute Group Decision Making Considering Risk Preference of Decision Maker

ZHAO Meng, QIN Song-song, XIE Jia-heng, ZHANG Feng-bing, LI Gang

2018, 27(1):  7-16.  DOI: 10.12005/orms.2018.0002

Asbtract ( )   PDF (636KB) ( )  

References | Related Articles | Metrics

This paper proposes a new Atanassov’s interval-valued intuitionistic fuzzy values(AIVIFVs)multiple attribute group decision making(MAGDM)method considering the risk preference of decision makers with incomplete attribute weight information. We determine the weight of each decision maker(DM)with regard to each attribute by taking into account the similarity degree and proximity degree simultaneously. Next, given the fact that the risk preference of decision makers can have an effect on decision making results and prevent an AIVIF matrix from being weighted for lots of times, we transform the AIVIFV collective decision matrix into an interval value matrix by the risk preference coefficient of DMs. In addition, in order to determine the attribute weights objectively, we establish a interval-valued intuitionistic fuzzy values programming model based on cross entropy. Furthermore, we rank all the alternatives by the comprehensive interval values of alternatives. At last, to illustrate the detailed process of the new method proposed in this paper, we take a research and development project selection problem for example. And by comparison analysis, it can be proved that the proposed method in this paper is superior to the existing methods.

Hesitant Fuzzy 2-tuple Linguistic Multiple Attribute Decision Making Method

FENG Xiang-qian, LIU Qi, WEI Cui-ping

2018, 27(1):  17-22.  DOI: 10.12005/orms.2018.0003

Asbtract ( )   PDF (581KB) ( )  

References | Related Articles | Metrics

The hesitant fuzzy 2-tuple linguistic multiple attribute decision making problem is studied intensively in this paper。 First of all, the mean function of the hesitant fuzzy 2-tuple linguistic set is given based on the power average operator, and the pairwise comparing possibility degree formula of hesitant fuzzy 2-tuple linguistic set of is proposed based on uniform distribution probability criterion and the distance measure of 2-tuple linguistic, and we give the properties of possibility degree ranking formula。 Aiming at the multiple attribute decision making problems with hesitant fuzzy 2-tuple linguistic set, a method based on entropy weight is proposed. Finally, combined with practical problems, the effectiveness and feasibility of the method are verified.

The One-Leader-Followers Games under Uncertainty and the Stability Analysis of 1-equilibrium

ZHANG Guang, WU Dong-hua, TANG Jian-xiong

2018, 27(1):  23-30.  DOI: 10.12005/orms.2018.0004

Asbtract ( )   PDF (621KB) ( )  

References | Related Articles | Metrics

In this paper, we discuss the Leader-Followers games and the uncertainty problems, and create a model of One-Leader-Followers games under uncertainty. Then we obtain the existence of Nash equilibrium for this kind of game by the maximum theorem. For the equilibrium of the One-Leader-Followers games under uncertainty, we establish the bounded rationality model and verify the stability such as structural stability and robustness for-equilibrium.

Optimization of Real Option Valuation Method in Mergers & Acquisitions Based on Industrial Life Cycle

LIU Hong-jiu, HU Yan-rong, MA Wei-min, SUN Wei-guo

2018, 27(1):  31-36.  DOI: 10.12005/orms.2018.0005

Asbtract ( )   PDF (690KB) ( )  

References | Related Articles | Metrics

Value of mergers & acquisitions(M&A)is often measured by Black-Scholes model because of its characteristics of real option. However, traditional Black-Scholes model does not take account of the influence of industrial life cycle(ILC)on the value of real option. This paper analyzes the features of M&A real option during the different phases of ILC and points out that M&A real option value changes with different stages of ILS. Gompertz prediction model is chosen to fit ILC curve in our research. By transforming Gompertz prediction model appropriately, we deduce an amended coefficient η_t which optimizes Black-Scholes real option valuation model of M&A. The improvement is available to calculate the value of M&A real option more rationally and make decision of M&A more scientifically, which avoids overestimating risk during the process of M&A valuation.

Evolutionary Analysis and Dynamic Optimization of Livestock Enterprise’s Environmental Behavior Under Supervision of Peasant Household

TU Guo-ping, ZHANG Hao

2018, 27(1):  37-42.  DOI: 10.12005/orms.2018.0006

Asbtract ( )   PDF (574KB) ( )  

References | Related Articles | Metrics

This study is to analyze the evolutionary process between downstream peasant household and livestock enterprise without initiative inspection of local government for livestock enterprise’s waste pollution problem which is based on the evolutionary game theory. The evolutionary game model is established and founded which has no evolutionary stable strategy. Then optimized scenario-dynamic compensation coefficient is put forward and under its optimization the model has an evolutionary stable strategy. In the end, the evolutionary stable strategy is solved again and further analyzed. The study shows that the optimized scenario is valid, in order to increase the proportion of enterprise which adopts complete pollution control strategy in enterprises group, enhancing compensation degree and reducing peasant household accusation costs are effective manners, and the environmental behavior of the enterprise group which adopts a higher degree of pollution control or has a smaller breeding scale should be payed more attention.

Quadratic Programming Models of the Intuitionistic Fuzzy Coalition Cooperative Games

NAN Jiang-xia, BO Hong, LI Deng-feng

2018, 27(1):  43-48.  DOI: 10.12005/orms.2018.0007

Asbtract ( )   PDF (589KB) ( )  

References | Related Articles | Metrics

The aim of this paper is to study the cooperative game: the coalition is the intuitionistic fuzzy set. Firstly, intuitionistic fuzzy coalition is defined and the interval characteristic function of the intuitionistic fuzzy coalition cooperative games is deduced based on the intuitionistic fuzzy choquet integral form. Furthermore, the supperadditivity, convexity and weakly supperadditivity of the interval characteristic function are proved. Secondly, the nonlinear programming model for solving the intuitionistic fuzzy coalition cooperative games is constructed based on the Minkowski distance of interval numbers and the definition of the loss function, and the optimal allocation of the solution is obtained. Finally, a numerical example is examined to demonstrate the validity, superority and applicability of methodology proposed in this methodology.

Sequencing Games with Learning Effects

ZHOU Yi-yuan, WANG Li-ming, WANG Li-ming, CHEN Gang

2018, 27(1):  49-52.  DOI: 10.12005/orms.2018.0008

Asbtract ( )   PDF (554KB) ( )  

References | Related Articles | Metrics

Sequencing games with learning effects are introduced. The actual processing time of a job is not a constant, but is a decreasing power function with respect to the position of this job. If the normal processing time of all jobs is identical, the admissible order of a coalition is relaxed, and the corresponding sequencing game with learning effects is balanced. An example illustrates that it need not be convex.

Single Machine Scheduling Problems with Learning Effect and Resource-dependence

YU Ying, CHENG Ming-bao

2018, 27(1):  53-58.  DOI: 10.12005/orms.2018.0009

Asbtract ( )   PDF (585KB) ( )  

References | Related Articles | Metrics

In industrial manufactures, the time spent on the same task will be reduced as the skill level of the staff increases. At the same time, the manager will consider allocating a certain amount of additional resources to shorten the job processing time. In this paper,we consider single machine scheduling problems in which the actual processing time of a job is of learning effect and of resource-dependence based on the above case. In the problem, it is assumed that the actual processing time of a job is an exponential function of the total normal processing time of jobs already processed before it. At the same time,the actual processing time of a job linear decreases and the total resource consumption costs linear increases as the resource distributed to the job increases. For such a scheduling problem, we introduce five objective functions: the sum of makespan and total resource consumption costs; the sum of the total completion time and total resource consumption costs; the sum of the total weighted completion time and total resource consumption costs ; the sum of the total earliness、tardiness、common due date and total resource consumption costs and the sum of the total earliness、tardiness、slack due date and total resource consumption costs. For the scheduling problems corresponding to the first three functions ,we present polynomial time solvable algorithms respectively. We give time solvable algorithms for the scheduling problems corresponding to the last two functions respectively by using assignment problem.

Attitudes Concentrated Order for Multiattribute Desion Making in Intuitionistic Fuzzy Set

YU Rui-hua, CHENG Yang-jin

2018, 27(1):  59-62.  DOI: 10.12005/orms.2018.0010

Asbtract ( )   PDF (1035KB) ( )  

References | Related Articles | Metrics

This paper discusses an intuitionsitic fuzzy multi-attribute decision-making problem, whose weights of attribute are not entirely sure. First, we compare the size of intuitionistic fuzzy value which belongs to the decision matrix on the basis of score function and accuracy function of intuitionistic fuzzy numbers, and arrange programs in the sequence according to every property. Then we determine the weights of the attribute by calculating the weighted fuzzy preference matrix and membership degree of project. We get the ranking results of the decision makers by using arithmetic weighted method of generating. A new method of attitudes concentrated order is obtained in this paper. A numerical example is examined to show that the method proposed in this paper is effective and practical, and thus, we give a new method for solving the multiple attribute decision making problems with intuitionistic fuzzy sets.

Model and Algorithm for Location Inventory Problem Taking Returns into Consideration in E-commerce

LI Yan-hui, WU Jian-lin, GUO Hao

2018, 27(1):  63-73.  DOI: 10.12005/orms.2018.0011

Asbtract ( )   PDF (6083KB) ( )  

References | Related Articles | Metrics

Location inventory problem is not only of great significance in integrated logistics system research, but also an important management decision that every logistics company has to make. Based on the characteristics of returns without quality defect which can re-enter the sales channels after a simple repackaging process in e-commerce environment, we propose a location inventory problem model with backhauls and stochastic demand, in which the facility location and inventory control are observed simultaneously. Given the complexity of the LIP model, the paper designs an improved hybrid adaptive differential evolution algorithm to solve the model integrally. The performance of the heuristic is assessed by computational experiments. As can be seen from the solution, the model with its hybrid adaptive differential evolution algorithm is feasible and superior, and it can offer valuable references for facility location, inventory control and distribution-collection decision.

A Hybrid Estimation of Distribution Algorithm for Quadratic Assignment Problem

JI Shou-feng, LUO Rong-juan, SUN Qi, ZHU Bao-lin

2018, 27(1):  74-83.  DOI: 10.12005/orms.2018.0012

Asbtract ( )   PDF (2665KB) ( )  

References | Related Articles | Metrics

In order to solve the quadratic assignment problem(QAP), a novel estimation of distribution algorithm(EDA), namely, hybrid EDA(HEDA) is proposed. Firstly, we design a heuristic rule, i.e., hypothesis-logistic-center-based heuristic rule(HLCBHR)according to the information of distance and material flow matrixes to generate the initial population, which is helpful to enhance the quality of initial population and the HEDA’s search efficiency. Secondly, focusing on the probability model of HEDA, both an initial configuration generating mechanism and a perturbation operation of probability matrix are developed in order to improve the global exploration ability. In addition, based on the sufficient analysis of QAP’s structure properties, a speed-up-evaluation-based local search strategy is embedded into the HEDA to enhance the local exploitation ability. Simulation experiments and comparisons demonstrate the optimization performance of the proposed HEDA.

Collaborative Filtering Recommendation Algorithm Based on Grey Incidence Clustering

TAO Wei-Cheng, DANG Yao-guo

2018, 27(1):  84-88.  DOI: 10.12005/orms.2018.0013

Asbtract ( )   PDF (865KB) ( )  

References | Related Articles | Metrics

In view of the collaborative filtering recommendation system having the characteristics of high data sparse, high dimension, mass data, combining grey incidence clustering with collaborative filtering recommendation algorithm, we have proposed collaborative filtering recommendation algorithm based on grey incidence clustering which can be applied to collaborative filtering recommendation system for resolving the problem of high sparse data, high-dimensional data, mass data and personalized recommendation quality. Firstly, we present the definitions of user item rating matrix in recommendation system, user grey absolute correlation, user grey similarity, user grey incidence clustering. Secondly, computational method and procedure of the collaborative filtering recommendation algorithm with grey incidence clustering, and its evaluation have been presented, and furthermore, the evaluation recommendation quality method is also been given. Lastly, our algorithm compares with the collaborative filtering recommendation algorithm, such as based on cosine, correlation analysis and modified cosine in different scale of data sets, experiment results indicate that our algorithm, compared with the traditional collaborative filtering recommendation method, has the advantages of the high recommended quality, small amount of calculation and the data size requirement being not high. In addition, our algorithm has some advantages in the cold start, stability and computational efficiency of the recommended system.

A Method of Attribute Reduction for Emergency Based on Rough Set

ZHONG Qiu-yan, WANG Ran, QU Yi

2018, 27(1):  89-95.  DOI: 10.12005/orms.2018.0014

Asbtract ( )   PDF (1374KB) ( )  

References | Related Articles | Metrics

With the improvement of our emphasis on emergencies and degree of informationization, large amounts of raw data in emergencies are accumulated, which contain much valuable knowledge and rules to be excavated. As emergencies involve a lot of objects in affected area, the number of attributes in raw data related to the emergency is considerable. Since there are many redundant attributes, the relationships among the factors are obscure. In addition, the missing values we cannot get lead to the incompleteness of emergency information system. For the problem of serious redundancy of attributes in raw data of emergency incomplete information systems, this paper proposes a method of attribute reduction for incomplete information systems of emergency based on rough set to eliminate redundant attributes and improve the definition of knowledge. Firstly, raw data are prepossessed. Missing data are reserved by using “*” instead. Continuous data are discretized considering the specific feature of the attribute in emergency. Redundant data and noisy data are identified by building a similarity matrix of all objects in the information system and then deleted. Then, the attributes are classified to two categories, one is conditional attribute, the other is decision attribute. On this base, we establish a decision table. Next, a method to measure the significance of attributes, which reflects the contribution of an attribute to identify the objects, is proposed combining with the ideas of the ordered weighted averaging operator. By using significance of attributes as heuristic information, we propose a heuristic attribute reduction algorithm. At the end of this paper, two examples are conducted. The first one is a classical decision table. The result shows that the algorithm in this research is correct and effective. The second one is an information table of fire events which is processed by the method in this paper. Through the second example, we show the application of the method and analyze the reduction of the information table.

Supply Chain Network Dual Channel Equilibrium Model with Overconfident Retailers

WU Yan-li, HU Jin-song

2018, 27(1):  96-102.  DOI: 10.12005/orms.2018.0015

Asbtract ( )   PDF (514KB) ( )  

References | Related Articles | Metrics

We incorporate retailers’ overconfident behaviors into supply chain network dual channel equilibrium model consisting of supply markets, distribution markets and retail markets. Based on variational inequality and complementary theory, the optimal behaviors of manufacturers, distributors and overconfident retailers are modeled, and the supply chain network dual channel equilibrium pattern is established. The impacts of favorable and unfavorable market information on the order decision of overconfident retailers are analyzed. Finally, Numerical experiments verify above conclusions and the impacts of retailer's overconfident behavior on the network equilibrium are analyzed by numerical results.

Application Research

Adoption and Environmental Impact of Electric Vehicles: Function Updates and Government Subsidies

SHAO Lu-lu, YANG Jun, YANG Chao

2018, 27(1):  103-111.  DOI: 10.12005/orms.2018.0016

Asbtract ( )   PDF (1541KB) ( )  

References | Related Articles | Metrics

With the increasing awareness of carbon emission and oil consumption, the development of electric vehicles industry is attracting more attention. According to consumers of heterogeneity with different buying behavior, the authors build a two-stage utility model. By solving the model, the market demand of different of consumer types are obtained. When government considers environmental impacts, the paper further explores how the market demand of electric vehicles is influenced by the product’s durability, degree of updates and government subsidies. The results indicate that when the environmental benefit of unit vehicle is larger, with the increase of the degree of updates, the market demand of electric vehicles will increase in the first stage, but that will decrease in the second stage. When the environmental benefit of unit vehicle is smaller, with the increase of the degree of updates, the market demand will decrease in the first stage, but that will increase in the second stage. The optimal profit of manufacturer increases with the increase of the degree of product updates and government subsidies. When the product durability is greater than a certain threshold, manufacturer’s profit increases with the increase of durability, and vice versa.

Control Mechanism of Virtual Enterprise Based on Self-organization

LV Fei

2018, 27(1):  112-116.  DOI: 10.12005/orms.2018.0017

Asbtract ( )   PDF (1289KB) ( )  

References | Related Articles | Metrics

Based on characteristics of open, nonlinear, fluctuation and unbalance in virtual enterprise, this study refers to Prigogine’s triangle circulating conversion of “function-fluctuation-structure”. A virtual enterprise’s management mode based on self-organization is put forward, and a control process is discussed. A complex virtual enterprise’s control model is constructed and the mechanism of a virtual enterprise’s production process, service and operations management using self-organization is deeply explored. By probing into the inner impact of self-organization on the operations of virtual enterprise, the evolution mechanism of virtual enterprise based on self-organization is analyzed.

Research on the Urban Traffic Congestion Evaluation Model Based on 5S Theory

XIONG Li, YANG Shu-fen, ZHANG Yun

2018, 27(1):  117-124.  DOI: 10.12005/orms.2018.0018

Asbtract ( )   PDF (4181KB) ( )  

References | Related Articles | Metrics

In recent years, the urban traffic congestion problem is more and more serious so that it greatly restricts the city development. In the background of big data, in order to accurately predict the real-time status of urban traffic congestion and improve urban traffic conditions to make public travel convenient, this paper makes a study of factors of urban traffic congestions. Then we build a urban traffic congestion evaluation model based on the theory of 5S. Lastly, we use a radial basis function neural network to verify the model with traffic data set of Jingan Temple, Shanghai Station, and Lujiazui in Shanghai. The result indicates that the predictive value obtained by the urban traffic congestion evaluation model has a good fitting effect on the Shanghai real road traffic. It shows that the model can accurately evaluate urban traffic congestion effectively.

Credit Evaluation of Supervision Engineers with Interval-valued Intuitionistic Fuzzy Information

ZHAO Li-li, WANG Xue-qing, CHEN Chao

2018, 27(1):  125-131.  DOI: 10.12005/orms.2018.0019

Asbtract ( )   PDF (694KB) ( )  

References | Related Articles | Metrics

Traditional credit evaluation methods only evaluate from the perspective of the owner or contractor. Because the supervision engineers’ information is uncertain and evaluation subjects are inherently subjective, evaluation information can’t be accurately expressed with precise real number. Therefore, from the stakeholders’ perspective, interval-valued intuitionistic fuzzy sets are used to evaluate the credit of supervision engineers comprehensively. The method obtains the weights of stakeholders with similarity measure, which establishes a linear programming model based on accuracy function to determine the weights of evaluation index. Then we use IIFHG and IIFWG operator to fuse the interval-valued intuitionistic fuzzy information. The method can fully reflect the differences of different credit indicators, avert the declination caused by the the subjectivity of the subject. Finally, a numerical example shows the effectiveness and rationality.

Research on the Associated Credit risk within the immunization

QIAN Qian, ZHOU Zong-fang

2018, 27(1):  132-137.  DOI: 10.12005/orms.2018.0020

Asbtract ( )   PDF (1095KB) ( )  

References | Related Articles | Metrics

In reality, relationshipsamong enterprises lead to a complex credit risk contagion. This paper improves the infectious disease model to depict the transmission mechanism of credit risk of enterprise correlation.Furthermore, with some enterprises forming the "immune" ability, the stable state of the associated credit risk contagion is discussed. Finally,in the formation of scale network environment, the influence of different related credit risk characteristics on the state is analyzed. The results show that the associated credit risk contagion threshold and steady state infected with the density of the enterprise are related to the proportion of enterprises with immunity in the initial state, the probability of enterprise loss of immunity and rescue time.

Controlling Shareholder’s Private Benefits under the Condition of Restricted Shares’ Selling ——from the Point of Intertemporal Investment

WU Dong-mei, ZHUANG Xin-tian

2018, 27(1):  138-143.  DOI: 10.12005/orms.2018.0021

Asbtract ( )   PDF (658KB) ( )  

References | Related Articles | Metrics

Under the condition of restricted shares’ selling. this paper builds double—temporal expropriation models under intertemporal investment and interests’ occupation. The proportion of cash flow, the proportion of restricted shares are selected as impact variable, to analyze their influences on the private benefits of controlling shareholder. Through the analysis, it is concluded that the private interest of control is negatively correlated with the above ratios. Moreover, future first-best expropriation; percentage of restricted shares’ selling is positive with current and future first-best expropriation; future rate of return of reducing shares is not relative with the future first-best expropriation level. The current first-best expropriation in double-temporal is lower than that in single expropriation. For the reason of controlling shareholder’s selling behavior, the future first-best expropriation in double-temporal is higher than that in single expropriation. The reduction and expropriation of controlling shareholder is a long and enduring process, and his aim is to maximize the ultimate private benefits of control. The paper provides theoretical support for the adjustment of controlling shareholder’s holding structure after the stock circulation reform, as well as the choice of investment decision.

Study on Topological Property of Stock Market’s Network Based on Random Matric Method

XIE Chi, HU Jue, WANG Gang-jin

2018, 27(1):  144-152.  DOI: 10.12005/orms.2018.0022

Asbtract ( )   PDF (2296KB) ( )  

References | Related Articles | Metrics

In this paper, we apply the random matric theory(RMT)and dynamic model of correlation coefficient to establish a worldwide stock markets’ correlation coefficient matric of twice of denoising. We use the threshold method to build the stock markets’ network, and further analyze the topological properties of the network and explain the risk contagion among stock markets in the network. The study indicates that, the network is a small-world network. Under the threshold θ=0.1, the worldwide stock markets network is a strongly robust. As for risk contagion, the stock markets of England and Nederland have a strong impact on the stock market network than others. Besides, the risk contagion among stock markets in the network shows an assortativety.

Volatility Spillover Effects between Our Country’s Index Futures and Spot Market ——Based on HAR-CAW Model

ZHAO Shu-ran, YUAN Dong, REN Pei-min

2018, 27(1):  153-159.  DOI: 10.12005/orms.2018.0023

Asbtract ( )   PDF (1023KB) ( )  

References | Related Articles | Metrics

Volatility spillover effects between Shanghai and Shenzhen 300 index futures and spot market is of great significance for investors of risk management. This article is based on high frequency data, using heterogeneous financial market driven HAR-CAW model to study short-term, medium-term and long-term volatility spillovers between future market and spot market and of their own. The results show that there are two-way volatility spillover effects, but the effects are not asymmetric: the futures market dominates the volatility spillovers. On the study of two-way volatility spillover effects, the two markets have different performances during short-term, medium-term and long-term; on the study of its own spillover effects, overall speaking, volatility spillovers exist in each phase of the spot market, but not in the futures market.

Management Science

“Family” or “market”: The re-consideration on the improvement of farmers’ income:Based on the Investigation in Xiaoliang village, Wuming County, Nanning, Guangxi Zhuang Autonomous Region

SU Yi-qing, WANG Zhi-gang

2018, 27(1):  160-170.  DOI: 10.12005/orms.2018.0024

Asbtract ( )   PDF (840KB) ( )  

References | Related Articles | Metrics

Through the pectination of the relevant policy adopted as well as its effect evaluation on increasing the income of the farmers in our country, the change process of scholars’ understanding on the problem of farmers’ income was summarized. It was put forward that, the farmers' income originated from the combination between the labor and other factors of production. In another word, the key whether the income of the farmers was able to be effectively improved was that, whether farmers could and were willing to flexibly distribute their labor to be combinated with other production factors. Through the use of householders’ types (AHM), on the basis of linear programming analysis on survey data of farmers in Guangxi, the following three points were drawn in the paper: First, for the farmers focused on economic crops, there was still greater room in the growth of income. The agricultural income was still the main force of their sources of income and income growth. Secondly, under the premise of the realization of the optimal production decision, the fact that there was a lot of labor time which hadn't been fully utilized for farmers, provided the possibility for the farmers to control labor flexibly. Thirdly, whether the farmers chose to use the surplus labor time to leave the land and engage in non-agricultural activities should be depended on the variety of crops. Finally, according to the conclusions, some related countermeasures and suggestions were puts forward.

Competitive Analysis of Extension Model of Online Procurement Management

MA Wei-min, ZHANG Ying, LI Gang

2018, 27(1):  171-177.  DOI: 10.12005/orms.2018.0025

Asbtract ( )   PDF (668KB) ( )  

References | Related Articles | Metrics

procurement management is an important part of the business activities, and more effective procurement management strategy can greatly reduce procurement costs, which is very important for the enterprise’s business performance, in the real economic activity inventory cost and commission cost accounts for a large part of the enterprise management costs, the procurement process affects the inventory cost and commission cost. So, on the basis of previous studies, in this paper, online procurement management model is extended by introducing inventory cost and commission cost. No matter what is the procurement price , the online player is promised to get a procurement cost about certain proportion c to the offline optimal procurement cost by committing the procurement policy proposed in the paper, and c is the same with the original model. But after the introduction of inventory cost and commission cost the amount of purchasing will change every day. The original model get purchase quantity and the best competitive ratio every day without considering the inventory cost and commission cost. If considering inventory cost and commission cost that cannot be ignored in real economic activity, we will not get the best competive ratio if still in accordance with the original model to determine the daily procurement. So this paper considering the transaction cost and holding cost, get a different purchase quantity every day to the original model, and find out the best competitive ratio c.

Research Joint Ventures or Cross-Licensing Agreement ——on the View of the Marginal Revenue Rates of Innovation Use

LAI Xiang-hong

2018, 27(1):  178-184.  DOI: 10.12005/orms.2018.0026

Asbtract ( )   PDF (888KB) ( )  

References | Related Articles | Metrics

The paper builds a uniform framework, with the marginal revenue rates of innovation use, compares the two organization modes of collaborative innovation, namely, research joint ventures (RJV) and cross-licensing agreement (CLA), and analyses innovation levels and profits of the knowledge-based enterprise. It proposes the compared results between RJV and CLA under different conditions. The results manifest that RJV is more efficient when the innovation is used to develop homogeneous products by the collaborators; while the innovation is applied to unrelated products, CLA should be selected. As the innovation is used to make differentiated goods, a better organization mode depends on the innovation elasticity.

Overview

Some Statistical Models and Inferences in Measurement of Financial Risk and Their Applications

SU Xin, XIE Shang-yu, ZHOU Yong

2018, 27(1):  185-199.  DOI: 10.12005/orms.2018.0027

Asbtract ( )   PDF (1855KB) ( )  

References | Related Articles | Metrics

This paper reviews the development of management methods and related theories in financial risk management. We present the classical moment measurement as well as modern risk measurements, including value at risk(VaR), expected shortfall(ES)and expectile, and some nonparametric and semi-parametric risk measurements with risk factors also introduced. We also review the measurements of default probability and default correlation which are two important quantities in credit risk management. Finally, some applications explain how to use the modern risk measurements to manage risk and identify risk contributions.