This paper reviews the work of financial system engineering in China from 2010 to 2014, and further concludes future development strategies. Firstly, the research object and method are defined. Through literature documentation process with both China and abroad papers, statistics of Journals, research institutions, research team, and supported fund are obtained. Through Bradford and Lotka test, we conclude the current research status of financial system engineering development in China. Further, all research are classified into 9 main research questions, which are the key research questions during the past 5 years. Finally, we proposed development strategies for future development of financial system engineering research.

After the initiation of carbon trading pilots in seven provinces and cities in China, issues of their effectiveness and impact on economy, environment and export are of great significance to policy makers, managers and experts of environmental science. To respond to these issues, we first define the concepts of carbon emission reduction, energy saving and low-carbon economy and discuss policy measures and economic instruments related to carbon emission reduction. Focusing on "quantity control" and "price control", we analyze in detail their implementation process and actual effectiveness in both theoretical and practical points. Also, we present in this paper the mechanism and pathways of carbon emission reduction and their inspiration to China from macro, micro and technical perspectives. We then review the related literature and comment how these academic results can be used to help China to achieve its carbon reduction target at optimal economic costs. Finally, we point out the deficiencies and possible theoretical gaps in the previous studies and present some important issues that need further academic exploration.

Hesitant fuzzy linguistic term set (HFLTS) is defined as an ordered and consecutive subset of the linguistic term set for a linguistic variable. This paper carries out some states of the art review over the development of HFLTS theory. Firstly, we introduce the definition and originality of the HFLTS, and then conduct the review from four aspects, which are the hesitant fuzzy linguistic fusion theory, the hesitant fuzzy linguistic measurement theory, the hesitant fuzzy linguistic preference relation theory and the hesitant fuzzy linguistic decision making methodologies. Finally, we outline the future research directions on qualitative decision making with hesitant fuzzy linguistic information.

In recent years, a novel application domain of scheduling, namely carrier-based aircraft deck operation scheduling is emerged. As an unexplored domain of scheduling, carrier-based aircraft deck operation scheduling has attracted more and more attention from both academic and industrial experts in the filed of scheduling, control theory and operations research et al. In this paper, a survey of carrier-based aircraft deck operation scheduling problem is presented both at home and abroad. Firstly, the carrier-based aircraft deck operation scheduling problem is formulated as a fundamental mixed integer programming mathematical model; secondly, a comprehensive review at abroad is given, which mainly focuses on United States; thirdly, four related topics of carrier-based aircraft deck operation scheduling at home are classified, including system simulation, system design, system optimization, and route planning. Finally, we conclude this survey with future trends and further research directions. This study aims to promote theoretical research and engineering applications of carrier-based aircraft deck operation scheduling problem at home.

Based on the definition of systemic linkages, we employ the asymmetric CoVaR approach to estimate the systemic linkages between each Chinese bank and the Chinese banking system and the systemic linkages between two individual Chinese banks. We show that the systemic linkages in the Chinese banking system have asymmetric properties, thus we use the asymmetric CoVaR approach to reestimate the systemic linkages in the Chinese banking system. Our approach can be used to identify the systemically important banks in China and to assess the systemic risk spillovers in the Chinese banking system. Furthermore, we find that the determinants of the two kinds of systemic linkages are some bank characteristics, such as total loans, common equity, retained earnings and so on. These measures of systemic linkages serve as useful additional toolboxes to both bank supervisors and bank managers.

Based on five original sentiment indicators in Hong Kong stock market, including the closed-end fund discount rate, the average first-day returns of initial public offering (IPO), the number of IPO, the market trading volume and turnover, this paper uses the principal component analysis method to calculate a comprehensive investor sentiment index. After excluding the trend and seasonal factors from the comprehensive investor sentiment index and Hong Kong Hang Seng Index by autoregressive moving average-generalized autoregressive conditional heteroskedasticity (ARMA-GARCH) family models, this paper makes correlation analysis and Granger causality test on the residuals of ARMA-GARCH model. The study shows that ARMA-GARCH models can effectively process the autocorrelation and heteroscedasticity of investor sentiment index and Hong Kong Hang Seng Index. Also, it indicates that the Hang Seng index return is the Granger cause of investor sentiment in short terms while not in long terms. That is to say investor sentiment would be more optimistic in short terms when the Hong Kong stock market goes up, and vice versa.

In this paper, we discuss the financial crisis contagion from developed markets to Asian emerging markets. We propose a new framework that includes: noise extraction method, noise correlation analysis and asset portfolio noise decomposition method. The empirical analysis shows that, there is a significant contagion effect from developed markets to emerging markets during the U.S. subprime crisis in 2007. The contagion effect from Hong Kong market is largest compared with other developed markets. The contagion from Singapore market has a time-varying feature, and the contagion from Japan to neighboring emerging markets is decreasing. Due to the existence of contagion effect, it is difficult to divert risk by using portfolio investment strategies.

Predicting tourism traffic accurately plays an important role in making policies for tourist administration. It helps to distribute the resources reasonably and avoid the tourism congestions. To improve the tourism prediction accuracy, this study considered the noise interference and proposed a forecast model of CLSI-EMD-BP using web search data. This model firstly applied CLSI to combine the web search data into a search index, then it denoised the series with EMD. EMD extracted the high frequency noise from the original series. The low frequency series of search index would be used to predict the low frequency tourism series. Taking Jiuzhaigou as an example, this study trained the model and predicted the next 22 weeks tourism arrivals. The conclusion demonstrated that the forecast error of CLSI-EMD-BP model is lower remarkably than the baselines of time series model, the web search data model and the BP network model. This revealed that nosing processing is necessary as well as CLSI-EMD-BP forecast model can improve the prediction accuracy.

As a kind of capital, intermediate inputs play an important role that cannot be ignored in the process of production. Their coefficient size reflects a country's economic growth mode. Current mainstream economic growth theories only consider the value added production function, rather than gross output production function, thus ignoring the role of intermediate inputs in the production process and the evaluation of economic efficiency. This paper is based on the statistical characteristics, basic model and empirical test of the basic paradigm. From the perspective of statistical characteristics, China's intermediate inputs coefficients are significantly higher than that of U.S. and Japan and other developed countries. The energy consumption per unit GDP is far over the world average level, which shows that the characteristic of China's economic growth is of extensive growth mode. By using theoretical derivation and numerical simulation, this paper has drawn the conclusion that a country's economic growth mode is related to the intermediate inputs elasticity of substitution, value added rate (VAR), technical level, and some other parameters. Firstly, there exists substitution rather than complementary linkage between primary investment and intermediate inputs. Secondly, economic growth rate shows negative correlation with the size of the elasticity of substitution of intermediate inputs, and the greater, the slower, and vice versa. Thirdly, inverted U shape shows that with the increase of intermediate inputs rate, the equilibrium output increases first and then decreased. In other words, there exists an optimal VAR. In the empirical analysis by using data of China, U.S., Japan and Brazil, the paper proves that there are obvious differences in the elasticity of substitution of intermediate inputs among different countries at their different stages during development. On the one hand, there is a different elasticity of substitution at different stage for a country with a certain independence, and the elasticity of substitution of U.S. is much higher than that of China. On the other hand, there is deviation between the actual VAR and the optimal VAR among these countries, and the deviation of China and Brazil is much larger than that of U.S. and Japan.

Based on the barycentric rational interpolation, we propose a new model to fit the term structure of interest rates, which include construction of basis function, parameter estimation, knot selection and model forecasting. Compared with the traditional models, the new model has at least four advantages. Firstly, it has higher smoothness in fitting interest curve. Secondly, it has lower computational complexity in estimating parameters. Thirdly, it has richer economic significance of estimation parameters. And lastly, it has higher prediction accuracy. Our empirical results are based on the term structure of treasury bills in Shanghai Stock Exchange, and the results show that the new model not only has better performance in structure analysis, computational complexity, prediction capability and economic significance, but also improve the fitting and pricing accuracy of bonds.

Effective government regulation is an important approach to control food safety incidents. In this paper, we establish a symmetric game model to study the strategy choice of food enterprises under government participation, explore government regulation failures with the number of food enterprise increases. The research suggests that when the number of food enterprises increases on the market, the border earnings of non-self-discipline enterprises increase, more enterprises becomes non-self-discipline and provide unsafe food production; that is the reason why the fixed checking probability of government cannot adapt to the market situation where many food enterprises coexistence. In the game, inspect frequency of government, cost of self-discipline and punishment of non-self-discipline are the most important for enterprise which could affect the choice of behavior. In order to cope with the failure of the government regulation effectively, the government should increase inspect frequency, reduce the cost of self-discipline, and increase the punishment of non-self-discipline.

This article establishes an integrated credit decision optimization model based on the geometric Brownian motion theory, which takes discriminatory pricing, performance probability, demand shifting and the probability of business opportunities into account. The model also launches a new credit decision rule. Empirical results show that it is conducive to improve the estimation accuracy of total revenue by using the different risk premium standards, the probability of business opportunities and demand shifting of different credit ratings after choosing credit sale, which provide the date basis for choosing the timing of credit; The improved rule of credit opportunity selection provides a direct simple method to calculate the optimal time, which overcomes the limitations of the traditional comparison method.

Vertical integration not only generates vertical economy but also engages the vertically integrated provider (referred as VIP hereafter) into sabotaging the independent enterprise in the downstream market. For example, the VIP may lower the quality of the intermediate product, delay the shipment, and hide key information. The recent cases such as the discrimination in broadband market and LCD panel monopoly are typical evidence of the VIP's sabotage behavior. Using mathematical modeling and simulation which is based on data from China Uni-com broadband market, we analyze the factors that lead to sabotage and the mechanism behind. The results show: First, VIP's sabotage is increasing with the final product's price, yet decreasing with the intermediate product's price. Second, VIP's sabotage is decreasing with the independent enterprise's market share. Third, VIP's sabotage is decreasing with the subsidiary's other elements cost and increasing with independent enterprises' other element cost. Fourth, only within a certain range, sabotage is negatively related to the price elasticity of independent enterprise and positively related to the cross price elasticity between subsidiary and independent enterprises. Beyond this certain range, it's difficult to judge the relation between sabotage and elasticity. These findings provide theoretical guidance for policy making in deterring sabotage and regulation.

To reduce the decay of perishable products in the process of production and delivery, it is necessary to appropriately arrange the production and delivery of perishable products subject to their deadlines. Therefore, to minimize the total operational costs of producing and delivering perishable foods, an optimization model was developed for joint production-delivery problem with time-windows, by considering the time-dependent characteristics of road networks in real world. According to the characteristics of the model, a hybrid genetic algorithm was proposed and validated by using a numerical experiment. The results show that the time-dependent characteristics of road networks have a remarkable impact on customer service level. The total operational costs and the loss of product value can be reduced further by optimizing the number of delivery vehicles in use.

For considering the role of both online social network and offline social network in the public opinion transmission, the multilayer synchronization network containing media layer, online layer and offline layer was built. And on this basis, public opinion simulation system framework was set up. Based on the research achievements of predecessors for human social network structure, multi-level synchronous network is given in the default setting. Through case simulation, demonstrated the mutual influence between online and offline networks and compared the different effect of the number of witness in the self-media communications and multimedia communications in the role of public opinion propagation. In the end, discussed the compatibility and scalability of the multilayer synchronous network model and put forward the improvement and extension direction.

Organizational learning from rare events has been a new branch in the field of organizational learning in recent years. However, organizations have paid most of their attention to the single rare event at present and neglected the internal associations of present event with relevant events happened previously. In fact, the superposition of relevant rare events can strengthen the problems contexts so that organizations can enhance the effectiveness of organizational learning from rare events through improving the quality of organization attention. Therefore, this study tested the relationships between the quality of organization attention in the specific problems context and the effectiveness of organizational learning from rare events based on the data about the accidents of American airline companies in a period of 20 years from the perspectives of stability and vividness. Specifically, the influence of attention stability on the effectiveness of organizational learning can be indicated by the results that the higher the frequency of relevant rare events and the greater the intervals between previous relevant rare events and present rare event, the higher the effectiveness of organizational learning would be. The influence of attention vividness on the effectiveness of organizational learning can be reflected by the U-shaped relationship between the vividness of the reasons behind all rare events occurring within industries and the effectiveness of organizational learning and the inversed U-shaped relationship between the vividness of the reasons behind all rare events occurring within organizations and the effectiveness of organizational learning.

In this paper, we introduce scheduling problems with time-dependent linear deteriorating jobs and position-dependent exponential learning effects under group technology. In our model, the group setup times are linear functions of their starting times and there is linear deterioration and exponential learning effect with processing time of jobs. We show that the problems to minimize the makespan and the sum of completion times remain solvable in polynomial, respectively.

This paper focused on hazardous materials vehicle scheduling between multiple routes. A mixed integer programming model was formulated to maximize profit and minimize the risk cost of the densely populated area, and the effect of limited capacity of vehicle and scheduling cost was involved explicitly. The main decisions were determining transportation price and vehicle scheduling. Using hierarchical solving method, we presented optimal vehicle quantity without generalized allocating cost and time constraints to allocating capacity firstly. Then, a search procedure was put forward to check the feasibility of it to time constraints, and optimal vehicle quantity that satisfied to time constraints was given, which is proved at mathematics. Finally, on this basis the search mechanism was revised to calculate the minimum of generalized vehicle allocation cost. The validity of it was verified by the numerical examples. Compared with the case that there is no vehicle allocating between different routes, the model with vehicle scheduling could reduce transportation price and increase realized demands.

To study on pedestrian behavior and simulate pedestrian walking trajectory quantitatively, a pedestrian behavior model based on nested logit (NL) and cross nested logit (CNL) model is proposed. At first, starting from the modeling approaches, basic theories of behavior theory, NL model and CNL model are analyzed emphatically. Then, in the model, pedestrians are divided into two types of free flow and non-free flow. Different functions are built for the five willingness of keeping direction, toward destination, speed changes, avoiding opposite pedestrian and transcend the pedestrian in same direction, respectively. Furthermore, the NL and CNL model of pedestrian walking behavior is proposed. Finally, the software of biogeme is applied to calibrate the coefficients of the model using the data tracked in the video, and the model results are compared with the real trajectory data to validate the accuracy of the model. Accuracy of the model is 80.26\%. The results show that, the built discrete choice model can simulate the real walking trajectory in the low-density situation with high accuracy.

In rough set model, α quantitative indiscernibility relation is a generalization of both strong and weak indiscernibility relations. However, such three indiscernibility relations based rough sets do not take the test costs of the attributes into consideration. To solve this problem, a test-cost-sensitive α quantitative indiscernibility relation based rough set is proposed. From the viewpoint of the binary relation, the new rough set is then sensitive to test costs. Moreover, the relationships among strong, weak, α quantitative and test-cost-sensitive α quantitative indiscernibility relations based rough sets are explored. Finally, it is noticed that the traditional heuristic algorithm does not take the decreasing of cost into account. Therefore, not only a new fitness function is proposed, but also such fitness function is carried out in genetic algorithm for obtaining reduct with minor test cost. The experimental results show that such approach not only decreases the uncertainty comes from boundary region, but also decreases the cost of reduct.

Haze has brought great harm to human daily life, so it is very important to analyze the factors which influence the haze badly. Starting from one-dimensional cellular automata (CA) and the drawbacks of the traditional method，a novel BGSO algorithm with weak-link Coevolution mechanism (CWLBGSO) combine with Rough Set is introduced in this paper. In CWLBGSO, the whole search space was divided into several sub-spaces, and each sub-space has a subpopulation, then after several iterations, suboptimum in each subpopulation will perform crossover operation to keep the dynamic diversity. After that CWLBGSO combined with rough set is applied to forecast the key factors which influence haze badly. The datasets of Beijing, Guangzhou and Shanghai are used to conduct experiments, also 10-fold and SVM is involved to analyze the classification accuracy and influence factors, the experimental results show that our method can effectively eliminate redundant factors, also has relatively higher stability and credibility.

This paper presents an improved chaos invasive weed optimization algorithm for solving the multi-objective permutation flow shop scheduling problem, minimizing the maximum completion time (makespan), total flowtime (TFT) and total tardiness simultaneously. In this study, the grey entropy correlation grade based on entropies weights is adopted for adaptive value distribution strategy. Then, a fast non-dominated sorting approach is introduced to establish external archive. In addition, evolutionary population updates are combined with chaos search around the optimal location to maintain external archive, which improves the efficiency of the scheduling algorithm. Finally, typical OR-Library examples are selected to test the new method. Numerical results demonstrate the effectiveness of the designed algorithm compared with NSGA-Ⅱ.

In recent years, as the real estate prices continue to rise rapidly, the problem of the residents' housing increasingly prominent. In order to alleviate the housing problems of low-income residents, the government built a large number of indemnificatory communities. However, the configuration problem of public service facility is widespread imperfect, and the supply is lag and inefficient or excess, which leads to the process of population check-in is slowly and low occupancy rate. The situation affects the quality of residents' life, also the realization of indemnification and the harmonious society building. Taken a Shanghai indemnification community as an example, the paper built the particle swarm optimization (PSO) models that can clearly express the space of supply for indemnificatory community public service facility under the condition of multi-objective constraint. Besides, in order to improve community public service facility configuration to be scientific and rational, also to perfect the configuration theory of community public service facilities and achieve the best use of public service facility, the paper empirical analyzed affordable community public service facilities configuration optimization simulation and application of research strategy, which has a certain theoretical and practical significance.

We develop a cross-market simulation trading platform of stock and stock index futures based on investors' behavior, and propose an evaluation system during abnormal fluctuations. We analyze the impact of stock index futures' trading limits on market quality as well as the effectiveness on different market structure, where we find that strict trading limits are effective in short term, while barely effective in long term. In addition, the impact of trading limits in a less-leveraged market is the best in short term. However, proper amount of speculation and arbitrage activities may offset the impact of trading limits in long term, which provides liquidity necessary for the market. Thus, trading limits of stock index futures during abnormal fluctuations in the spot market should be temporary and must restore the original rules when market stabilized.

Considering the heterogeneity of the leveraged investors, this paper build a dynamical financial system composed of two leveraged investors and one non-leveraged investor, to analyze the cyclical nature of the leverage of financial intermediaries from the perspective of risk asset price. Exploiting a quarterly panel data of the listed banks and securities firms in China during 2006-2015, the empirical results indicate:the leverage heterogeneity, which could reduce the target leverages of financial intermediaries, benefits the stability of financial system; the leverage of list banks and securities firms in China is procyclical over the asset price cycle, but there are differences in the periodical behaviors of financial intermediaries; securities companies leverage present a much more significant positive correlation with the stock prices than banks leverage; corresponding to housing prices, the pro-cyclical behavior of banks leverage is more significant than securities companies leverage; and the leverage adjusting directions of banks and securities companies during the boom and bust period are opposite. In this paper, we provide new evidence for the financial intermediaries to use leverage and for the regulatory authorities to improve the regulatory system.

Since China's participation into the World Trade Organization (WTO), especially the implement of the managed floating exchange rate system in 2005, China's economy has become more and more open and the impact that the exchange rate has on domestic price has been being strengthened. The variation of exchange rate is becoming a significant factor, determining whether China's economy is in inflation or deflation. Therefore, study on the transmission rate that the exchange rate has on the variation of domestic price is of great meaning. By structural VAR model, with the quantitative analysis on quarterly data from 2000 to 2013, this paper finds the transmission rates that the variation of exchange rate has on import prices index (IPI), producer price index (PPI) and consumer price index (CPI) are around 0.41, 0.32, 0.11 respectively, which means the appreciation of the RMB can contain inflation to some extent. Besides, the variation of exchange rate has different transmission rates on consumer price index of different varieties. Namely, the transmission rates on food, clothing and residential price index are higher, which are 0.15, 0.24, 0.15 respectively; the transmission rates on household equipment, transportation and communication, entertainment and health care price index are lower, which are 0.03, 0.05, 0.08, 0.10 respectively. Moreover, the real economy and monetary policy have stronger impact on the variation of domestic price than the variation of exchange rate.

This paper extends the theory of the European option pricing under fractional Brownian motion, particularly breaking the assumptions that the Hurst index and volatility are constant. When the Hurst index of fractional Brownian motion is time varying, with using the GARCH model to describe the volatility of yields sequence we can deduce a closed type solution of the European call option pricing. Using this model and the day trading data of the Korean stock index options Kospi200, the empirical test suggest that the volatility of Kospi200 is followed the GJR process. The time-varying volatility under the fractional Brownian motion that can describe the dynamic characteristics of the financial market is more suitable than the standard Brownian motion. The option theory prices of this model is closer to the market price, which is better than the traditional pricing model.

Credit rating has an extremely important impact on modern society. It will mislead the creditors and social public if the credit rating division is unreasonable. In 2011, Standard & Poor's lowered the sovereign credit rating of United States to AA+ from AAA which caused the turmoil in the global financial markets. The essence of credit rating is to classify the customers according to their credit level which means customers with different credit risk level should be included in different credit rating. The internationally popular credit rating agencies like Moody, often has the unreasonable phenomenon that customers with higher loss given default (LGD) while the credit level not low for China's loan customers. Our research constructs nonlinear programming model to divide the credit rating according to the LGD pyramid and maximum credit difference degree as the standard, and then we make an empirical research with the loan data of a bank in China. The special and contributions of this paper lie in three aspects:Firstly, we build up a nonlinear programming model to divide the credit rating with the objective function that the sum of credit score difference ∑(P_mk^k-P₁^k+1) is maximum, which ensure customers with different credit status are more likely to be divided into different credit level, we can avoid the unreasonable phenomenon that customers with big credit status difference are divided into the same level. Secondly, we construct a nonlinear programming model to divide the credit rating with the constraint that the LGD is strictly increasing with credit rating from high to low, which can meet the pyramid standard that customers with lower LGD should be divided in higher level, we can avoid the unreasonable phenomenon that customers with higher LGD while the credit level not low. Thirdly, we make an empirical study with 1814 small business loan data of a Chinese commercial bank in recent 20 years and its research result indicates that the method of credit rating division in this paper not only meet the pyramid standard that customers with lower LGD should be divided in higher level, but also own the advantage that it can ensure the customers with different credit status are divided into the different level.

The determinants of litigation risk have received much attention from academics, while the study from the perspective of corporate financing is limited. This paper explores the relation between excess bank loans and litigation risk using Chinese A-share listed corporates from 2003 to 2015. The empirical results show that the excess bank loans are significant positive with litigation risk while the improvement of internal control as well as the improvement of regional legal environment can weaken the positive correlation. Besides, internal control quality and regional legal environment can substitute for each other in the process of weakening the relationship. This paper extends the research perspective of determinants of litigation risk from excess bank loans and also enriches the research of the effects of macro environment on corporate behavior combining internal control quality and regional legal environment.

This paper addressed the issue of loan-to-value ratios optimization on exporting offshore/in-transit inventory financing under the condition that the collateral price follows geometric Brownian motion process and shows a liner negative correlation with demand. Firstly, the probabilities of the events occurred in the exporting offshore/in-transit inventory financing were figured out through the analysis of conditional probability. After that, the piecewise function model of the shipping company's financing (expected) profit was established concerning both the land storage costs and ocean freights. Finally, this paper gave the optimization solution steps of the algorithm by using the numerical approximation method and analytical method. Numerical example verified the applicability and validity of the proposed model and algorithm. The results of sensitivity analysis show that the optimal loan-to-value ratio has a negative correlation with the price of collaterals and a positive correlation with the volume of collaterals, respectively; the maximum expected profit of the shipping company has a positive correlation with the price of collaterals. An additional finding is that the maximum expected profit of the shipping company rises firstly and then declines with the increasing of the volume of collaterals. The findings of this paper can provide a scientific reference for the shipping company in financing optimization decisions.

This paper focuses on the mechanisms that promote the evolution of cooperation in the prisoner's dilemma. The controls based on cooperation recognition and defection recognition are designed and the evolution paths of cooperation under different controls are analyzed. Under the control based on cooperation recognition, the population is divided into two parts:cooperation-subpopulation and cooperation-and-defection-subpopulation. Non-uniform interaction rates is defined as the probability of interaction between two players is dependent of their strategy. It can increase the interaction rates between two subpopulations with the same strategy. It promotes the evolution of cooperation by protecting cooperation. Under the other control, based on defection recognition, the evolution of cooperation is promoted by punishing defection. We find that the control based on cooperation recognition can promote cooperation when the cooperation rate is low. But cooperation can't become the evolutionarily stable strategy (ESS) under this control. The control based on the defection recognition can translate cooperation to ESS with highly initial cooperation rate, but defection will always be ESS. So we design a new control, called switching control. Based on these two controls, cooperation is translated to the only one ESS. The experiments show the affection of different switching control on the evolution path of cooperation.

A single item dynamic lot sizing problem integrated with storage capacity and inventory decisions is considered. Given a T-periods planning horizon being partitioned into a series of sections, storage capacity decisions are made at the beginning of each section, and the ending inventory of each period is limited by the storage capacity of section containing it. Assume that section storage capacity cost is a non-decreasing function, ordering cost is a fixed charge, and holding cost is a linear function. By applying decomposition techniques and geometric techniques, an O(T³) algorithm is presented. Comparing with commercial MIP solver, the saving in computation times of this algorithm is excellent.

Considering that the government implemented remanufactured product replacement subsidy intervention and recycling amount bonus-penalty intervention simultaneously, this paper constructed four different dual-sale-channel closed-loop supply chain models, namely, without government intervention, with remanufactured product replacement subsidy intervention, with recycling amount bonus-penalty intervention and with government double intervention. On the basis of endogenous government intervention, the effect of government double intervention on closed-loop supply chain decision was discussed and compared with government single intervention. At the same time, we quantified the government optimal decision on the basis of social welfare maximization. The results showed that:under the government double intervention, the sale price and the market demand of the new products would decline, and the sale price and the market demand of the remanufactured products would rise; When the government implemented double interventions, the intervention effect of the two policies would be superimposed, which would further promote the sales of remanufactured products and recycling of waste products; By designing a reasonable interference threshold, the government can improve the profits of manufacturer and consumer surplus and enhance the social welfare; By sharing profits, manufacturer and retailer can compensate for the loss of retailer profits, guarantee the stability of supply chain and achieve a win-win situation of supply chain members.

It is a common phenomenon that there is interaction of aggregate fluctuations among countries (areas) in the era of globalization, while lacking of quantitative studies on the interaction strength. Based on the transmission of shocks on the asymmetric inter-regional industrial network, the interaction mechanism of inter-regional aggregate fluctuations is analyzed. On the basis of inter-regional product linkages, this paper builds a regional weighted interaction network with regions for nodes, then quantitatively measures the interaction of aggregate fluctuations among regions, by analyzing the degree linkage structure, the foundational linkage structure, the core linkage structure, and the asymmetry structure of network. Example analysis shows that this model and the related measure dimensions can quantify the interaction of aggregate fluctuations among different regions, and quantitatively describe the roles of different regions in the multi-regional economic system, which is of theoretical and practical significance to regional economic cooperation, the formulation of trade rules and global value chain.

Based on the classical EPQ model, considering the periodic imperfect preventive maintenance strategy, construct the optimal decision model of economic production quantity with the goal to minimize the total cost per unit of product. In the production total cost model, considering the practical problem that the equipment failure rate and defective rate increased with time, the age reduction factor and equivalent service age concept are introduced to construct the dynamic preventive maintenance cost, fault recover costs and defective repair cost. Considering the complexity of the objective function, this paper uses PSO algorithm to solve the model, and verify its rationality.

In the condition of complex economic system for the nonlinear residual characteristics of small sample time series, the paper chooses nonlinear grey Verhulst model to solve the problem for less residual information and not high prediction accuracy by correcting traditional econometric model. On this basis, we choose EGA algorithm with elitist strategy to establish grey Verhulst metering combination forecasting model, design the modeling algorithm logic flow and overall idea of nonlinear residuals grey Verhulst combination forecasting model, provide a new method to improve the multi-objective optimization criteria NP-complete problems, compare the forecasting model results with other models. Empirical studies show that:the nonlinear algorithm EGA residuals grey Verhulst metering combination forecasting model of small sample based on EGA algorithm converges fast, with good fitting results and more accurate predictions.

Based on the theory of fuzzy mathematics and cooperative game, this paper measures haze costs thoroughly from social health costs of people, direct control cost and opportunity costs of enterprises, social stability costs of government. Firstly we present haze prevention and control strategy model using interval cooperative game over Beijing-Tianjin-Hebei. Then haze costs for governing or not in Beijing, Tianjin, and Hebei are calculated separately by non-cooperation and cooperation game. Finally we also analyze the haze governance strategy influenced by government subsidy in Beijing-Tianjin-Hebei, and allocate minimum government subsidy among them. The conclusion shows that Beijing-Tianjin-Hebei are unable to bear the cost of governance haze without government subsidies; and the required government subsidies is minimum while the grand coalition works.

Technology change is one of the most important way of enterprise transformation, this paper analyzed technology change in the transformation process under the environment of information. System dynamics method was used to construct cause and effect diagram and system flow chart of technology change; we obtained the key influencing factors through case simulation, i.e. R&D input and the online rate of enterprise information system. Dynamic simulation results show that these two factors can effectively improve ability of economic transformation, but its inputs must be controlled in a reasonable range.

This paper determined the boundaries of model, designed the system flow chart through on analyzing the causal feedback figure based on using system dynamics theory as the main method, it also established "ILSD" model by building the quantitative formula between variables in model. On the basis of all the content, this paper started to do analogue simulation, and it checked the validity of the model by using the error between the simulation value and the real value of GDP, the tertiary industry output value, import volumes and export volumes. The results showed that the transforming and upgrading of functions in industry park had an impact on the transforming and upgrading in logistics park's functions, they linked closely in functions. It came to the conclusion that logistics park would strengthen the value-added service and the supporting service function, while weaken the basic service functions in the near future. About the year 2017, the value-added service volumes of logistics park in China will be more than basic service volumes, become the main service function, about the year 2020, the growth rate of logistics park's value-added service volumes is about twice as much as the supporting service function volumes, and is about three times as the basic service functions volumes.

This paper constructed a two-layer social network model and studied the public opinion spreading process. The model consists of two layers of networks with one layer is online social network and the other is offline social network. Through theoretical calculation we draw the density of spreaders in steady state, and find that the spreading threshold in two-layer network is larger than in online social network, but smaller than that in offline network. Further, through numerical simulations we find that the two-layer network could enhance the spreading speed and expand the spreading scale under the action of online social network. Besides, the studies about the effect of spreading rate on the density of spreader show that the spreading rate in one layer only affects the spreading process within the same layer but almost have no effect on the spreading process in the other layer, and the number of spreaders that transfers from offline social network is less effective than that from online social network.