Table of Content

25 October 2013, Volume 22 Issue 5

Previous Issue    Next Issue

Overview

Operations Research Methodology in Community Structure Analysis of Complex Networks

ZHANG Xiang-sun

2013, 22(5):  1-11. 

Asbtract ( )  

References | Related Articles | Metrics

Community Structure Analysis is one of the popular research problems in the complex network study, which has closed relationship with Operation Research theory and algorithm. This paper introduces the basic definition of the community stucture problem and surveys the development of methods finding the community structure in recent ten years, especially those using OR methodology such as heuristic models, stochastic optimization models and combinatoric models. From the survey, one can see that OR methodolgy takes very important roles in the complex network study.

Theory Analysis and Methodology Study

Heuristic Algorithm for Bin Packing Problem with Conflicts Based on Graph Coloring Model

YUAN Ye, LI Yi-jun, WANG Yan-qing, WANG Xiao-bo

2013, 22(5):  12-16. 

Asbtract ( )  

References | Related Articles | Metrics

The objection of bin packing problem with conflicts(BPPC)is to minimize the number of bins used to accommodate all the items, and also has to satisfy the conflict constraints among the items. This paper summaries the mathematical model of BPPC, and proposes a heuristic algorithm based on graph coloring model to solve it. Firstly, a conflict graph structure is used to represent the conflict relationship among the items, and then, based on the conflict graph, the algorithm will finish a coloring procedure to group all the items and ensure that there is no items with conflict relationship in each group, and lastly, an improved FFD algorithm is used to complete the packing operation for the items in each group. The experiments show that the algorithm of this paper could find a feasible solution of BPPC quickly and efficiently, and provide a new approach for this kind of bin packing problems.

Shuffled Differential Evolution Algorithm Based on Elite Synergy and Its Application

ZHANG Da-bin, YANG Tian-rou, PAN Yu-chen, ZHOU Xi, ZHANG Wen-sheng

2013, 22(5):  17-23. 

Asbtract ( )  

References | Related Articles | Metrics

This paper presents a novel Shuffled Differential Evolution algorithm(SDE)based on elite synergy. The algorithm introduces the initialization mechanism of opposition-based learning, employs different differential strategies fof several ordinary groups and a virtual elite group so as to take the elite individuals as the information channel for achieving information exchange among different groups. Meanwhile, it realizes the inter-cultural exchange among different groups by using a regularly shuffled mechanism which regroups the small groups via hash function, so as to achieve the population co-evolution. In addition, hopping operation on the individuals which are in the long-term stagnation can fully tap the potential of population search and enhance the effectiveness of the search. By the benchmark function experiments, the SDE performs better optimization capability in comparison with the Particle Swarm Optimization and other Differential Evolution algorithms.

Research on Optimal Sequence of Aircraft Range Problem

LI Xiao-ya

2013, 22(5):  24-28. 

Asbtract ( )  

References | Related Articles | Metrics

The aircraft range problem is discussed in this paper. By introducing a kind of exploration problem with n vehicles, this paper proposes that n-vehicle exploration problem is a special case of aircraft range problem. Based on the consequence, and by considering a special case that proves solvable of n-vehicle problem, akind of special case of aircraft range problem is obtained, along with the calculation method for optimal sequence and the greatest flight distance. Numerical examples are displayed at last.

Single Machine Scheduling with Batch Delivery to Multiple Customers

WANG Lei-yang

2013, 22(5):  29-34. 

Asbtract ( )  

References | Related Articles | Metrics

In this paper, we consider the scheduling problem in which the jobs are first processed by one single machine and then delivered in batches by a single vehicle with limited capacity to the respective customers. The goal is to minimize the makespan. For the identical job size case, we present a polynomial time algorithm when the number of customers is fixed. For the non-identical job sizes case, we consider a special case with three customers and develop a 2-approximation algorithm.

Research on Closed-loop Supply Chain Coordination with Two-part Tariff Contract under Disruptions

MU Zong-yu, SUN Jing, CAO De-bi, LIU Xiao-bing, LI Xin-ran

2013, 22(5):  35-42. 

Asbtract ( )  

References | Related Articles | Metrics

This paper studies the coordination of the closed-loop supply chain(CLSC)with one manufacturer and one retailer who recollects the used products. We design the model that can be coordinated by a two-part tariff contract in static environment. Based on the model, we get the optimal profits by K-T condition and the optimal response strategy of the centralized CLSC under demand disruptions caused by an emergent event. The conclusion shows that the two-part tariff contract which has been signed can't coordinate the decentralized CLSC any more under disruptions. Then we give two strategies to coordinate the CLSC. One strategy is that the wholesale price and the transfer price of used products with the original contract are improved in the case that the manufacturer bears the deviation costs, and the other is that we retain the wholesale price and the transfer price of used products with the original contract unchanged under the condition that the retailer bears the deviation costs. The manufacturer and the retailer need to bargain with each other to determine the fixed fee in both of the above strategies, and we can realize the coordination of the CLSC under disruptions. In addition, we have proved the feasibility of them.

Analysis of Free Trial Strategy in the SaaS Model from Service Supply Chain Perspective

LI Xin-ming, LIAO Xiu-wu

2013, 22(5):  43-50. 

Asbtract ( )  

References | Related Articles | Metrics

Aiming at the uncertain demand in the developing SaaS model, we analytically investigate the free trial strategy, which copes with the demand uncertainty, from the perspective of service supply chain. We design a cooperation contract to ensure the service supply chain coordination under free trial. Comparing the performance of free trial strategy with that of the traditional risk-sharing strategy, we obtain an applicable condition of the free trial strategy. Through numerical exploration analysis, effectiveness of the model has been demonstrated and some managerial insights are obtained. The results show that the free trial strategy can stimulate customer demand, avoid service demand uncertainty risk in the SaaS model effectively, and improve the profits of the service supply chain members. The applicability and performance of the free trial strategy are related to ASP's technical ability. Furthermore, the coordination of service supply chain can make the free trial strategy achieve a better effect.

Profit Allocation of Supply Chain Based on Agency Costs

HUANG Mei-ping, WANG Xian-yu

2013, 22(5):  51-61. 

Asbtract ( )  

References | Related Articles | Metrics

To analyze the impact of agency costs caused by asymmetric information on the supply chain profit distribution, the virtual third party is introduced as a selfless principal based on the theory of principal agent and cooperative game. Then, the supply chain profit distribution is discussed on the of agency costs. The results show that: in order to reduce the adverse selection and the moral hazard, only when the sum of transfer payments for supplier and retailer is equal to the total expected sales, could they get their expected benefits. Otherwise, the new results might be got through further negotiation on the differential section. Finally, an example is given to illustrate the conclusion.

A Dump Clearance Revenue-sharing Contract Research from Short-Life-Cycle Products Supply Chain

HE Jian-jia, XU Fu-yuan, MA Qing-guo, HE Sheng-xue, DONG Qiong

2013, 22(5):  62-68. 

Asbtract ( )  

References | Related Articles | Metrics

An in time dump clearance based on the quick response policy is an effective way in enhancing the efficiency of short-life-cycle products supply chain management and accelerating the update of products. This paper considers a two level short-life-cycle products supply chain composed by one retailer and multi-accessory supplies. It establishes a decision-making model on the dump clearance revenue when the requirement of the marketing changes. It also comparatively analyzes the change of supply chain total production and profit under the dump clearance revenue-sharing circumstance and no dump clearance revenue-sharing circumstance from concentration and distribution two aspects separately. The theory derivation and numerical solutions analysis shows that when considering the dump clearance revenue-sharing, the supply chain marketing will increase. What's more, under the contract of dump clearance revenue-sharing, the supply chain profit would be allocated according to the portion of cost as well as risk rate burdened, which promotes the cooperation benefits of the supply chain in turn.

A Decision Model in a Dual-channel Supply Chain with Market Segmentation

CHEN Jun, LAI Xin, HE Yuan

2013, 22(5):  69-77. 

Asbtract ( )  

References | Related Articles | Metrics

An idea that the retailer should open secondary market at the end of the primary market life cycle is proposed. The pricing decision models in a dual-channel supply chain are developed on the assumption that market information is prefect, then the retailer's and the manufacturer's optimal prices are obtained for the case that the retailer opens secondary market with utility function. The conclusion suggests that the retailer doesn't open secondary market if only the direct channel exits in the primary market, and it may contributes to achieving Pareto improvement of the profits for the dual-channel members by the introduction of the secondary market if demands exit for the two channels under decentralized decision model. The system profit increases only if demands exit for the two channels and the two markets, and the parameter of acceptance of the secondary market exceeds a critical value under centralized decision model. So, the retailer opens secondary market under special circumstances.

Logistics Network Optimization Under Certain Conditions of the Supply Capacity

PENG Yong-tao, ZHANG Jin, CHEN Gang

2013, 22(5):  78-83. 

Asbtract ( )  

References | Related Articles | Metrics

In order to provide accurate and efficient service for customers, third-party logistics integrates the logistics areas and establishes the multi-level logistics network connecting suppliers and customers, which includes transportation, distribution processing, storage and distribution. For reducing the cost of network systems and improving service efficiency, the article designs an optimize model aiming at minimum operating costs, with the constraints of fixed logistics supply capacity for the network nodes and channels. The model obtains the best logistics organization program by variational inequalities, and at the same time it also re-designs and transforms the network infrastructure according to the running program, avoiding the unnecessary waste of resources. Finally, a practical example is given to validate the model and algorithm.

Default Correlation Impact of the Suppliers on Profit of Supply Chain

YAO Yuan

2013, 22(5):  84-89. 

Asbtract ( )  

References | Related Articles | Metrics

This paper studies a supply chain model with one retailer and two suppliers. Firstly, it analyzes the payment of the retailer, stating that the retailer gets the same profit when he pays in advance or at the time of the delivery. Secondly, the results show that when the default events are rare, the default probability of the suppliers is largely determined by their correlated efficiency. When the default correlation changes from the perfect positive to the perfect negative, the profit of the retailer decreases and that of the suppliers and the supply chain increases.

Decision-making for Reverse Logistics Network Optimization Considering Service Level

LI Shuang, WANG Neng-min, HE Zheng-wen, MA Yun-gao

2013, 22(5):  90-97. 

Asbtract ( )  

References | Related Articles | Metrics

This paper proposes a multi-objective reverse logistics network optimization model considering both cost and service level to help manufacturers of electronic products provide quality post-sale repair service for their consumers. Due to the NP-hard nature of the problem, two multi-objective evolutionary algorithms are employed including the Non-dominated Sorting Genetic Algorithm II(NSGA-II)and Multi-objective Simulated Annealing(MOSA). The performance of the two heuristic algorithms is compared using numerical examples. The computational results show that NSGA-II outperforms MOSA.

Fuzzy Artificial Bees Colony Algorithm for Solving Multi-choice Multidimensional Knapsack Problem

LIU Yin, MA Liang, HUANG Yu

2013, 22(5):  98-103. 

Asbtract ( )  

References | Related Articles | Metrics

Aiming at the premature convergence problem in traditional artificial bees colony algorithm, fuzzy artificial bees colony algorithm is proposed, which is based on the principles of fuzzy processing and bees colony behavior. Fuzzy inputs and fuzzy outputs are introduced into the algorithm to maintain dynamic updates of the nectar access probability. According to effective adjustment on nectar access probability during the different stages of algorithm calculation, the algorithm avoids local optima. Simulated tests of multi-choice multidimensional knapsack problem and comparisons with other algorithms show the algorithm is feasible and effective and the algorithm has strong global optimization ability.

Optimal Control Polices for an Inventory Service System Based on the Queueing Theory

CHEN Hong, LIU Ming-wu, ZHOU Zong-fang, TANG Ying-hui

2013, 22(5):  104-110. 

Asbtract ( )  

References | Related Articles | Metrics

This paper considers an inventory service system with continuous-review(s,Q)replacement policy. The steady-state balance equations are set up based on queuing theory. And the probability distribution for inventory levels and the steady-state performance measures which are used to for the inventory control are derived. For minimizing the inventory cost function, an inventory control model with constrained service level is built. In view of the optimal model which is no-linear and constrained with integer type variables, an improved genetic algorithm(IGA)is used for searching for the optimums. The numerical results show that the inventory cost can be cut down by exerting service level constraint when target service level is greater than endogenetic service level of the inventory system.

Optimization for Storage or Retrieval Routing Problem Based on Mutil-candidates Storages Location

HU Shao-Long, HU Zhi-hua, CAO Yang

2013, 22(5):  111-116. 

Asbtract ( )  

References | Related Articles | Metrics

With respect to the fact that every type of goods has only one storage location in warehouse will lead to crowded aisles and poor operational efficiency, this paper proposes an optimization approach for store and retrieval routing problem when multi-candidate storages locations are assigned to each type of goods. First,the storage locations are allocated to goods. Then, a model is built for the vehicle routing problem with multi-candidate storage locations for each type of goods. A genetic algorithm based on priority-based decoding scheme is developed to solve the model. Finally, a case is given to illustrate the effectiveness of the proposed method and the efficiency of the algorithm. The solution that two-candidate and three candidate storage locations are allocated to each type of goods could at least save 18.4% and 21.8% distance for retrievals respectively. The algorithm iterated for 10000 times costs 434 seconds.

Method Based on Fuzzy Entropy with Interval-valued Intuitionist Fuzzy Set for Group Decision Making

ZHAO Meng, REN Rong-rong, LI Gang

2013, 22(5):  117-121. 

Asbtract ( )  

References | Related Articles | Metrics

With respect to multiple attribute group decision making(MAGDM)problems in which the attribute values given by the decision makers are the interval-valued intuitionist fuzzy set(IVIFS)and the weights of the decision makers are unknown, a new fuzzy entropy measure is proposed. We define the fuzzy degree of the information given by decision makers using fuzzy entropy of the interval-valued intuitionist fuzzy set, and determine the weights of the decision makers; We get the ranking results of each decision maker by calculating the ideal and the anti-ideal measure of IVIFS fuzzy cross entropy distance. Then we get the ranking results of the group decision makers by using arithmetic weighted method and geometric weighted method of generating, The illustrated examples verify the efficiency of the method.

Twotuple Iinguistic Bonferroni Aggregation Operators and Their Applications to Multi-attribute Group Decision-making

LIU Jin-pei, LIN Sheng, CHEN Hua-you

2013, 22(5):  122-127. 

Asbtract ( )  

References | Related Articles | Metrics

The advantage of the Bonferroni mean operator is its capability to capture the interrelationship between input arguments. In this paper, we extend the Bonferroni mean operators to the situation where the inputs are linguistic arguments and proposed 2-tuple linguistic Bonferroni averaging(2TLBA)operator, weighted 2TLBA(W2TLBA)operator and combined W2TLBA(C-W2TLBA)operator. Moreover, some desirable properties and special cases of these aggregation operators are investigated. According to the multi-attribute group decision-making with the decision information being linguistic arguments, a decision-making approach is presented based on W2TLBA operator and C-W2TLBA operator. At last, a numerical experiment is given to prove the feasibility of the developed approach.

A Method for Buy-sell Two-sided Matching Decision-making Method Considering the Trade Attitude of the Broker

LIANG Hai-ming, JINAG Yan-ping

2013, 22(5):  128-133. 

Asbtract ( )  

References | Related Articles | Metrics

With the emergence of the electronic broker, a new trade platform is provided for the commodity trade. The purpose of this paper is to research the buy-sell two-sided matching decision-making problem considering the different trade attitude of the brokers in e-commerce environment. Firstly, the description of the buy-sell two-sided matching decision-making problem is given. Then, according to the trait of profit-oriented brokers, service-oriented brokers and compromise-oriented brokers, a buy-sell two-sided matching model in the four kinds broker is constructed, where the objectives include: maximize the value of the matching pair, maximize the trade price and maximize the trade achieve level. Further, by solving the model, the buy-sell two-sided matching decision-making results are obtained. Finally, an illustrating example is given to show the feasibility and practicability of the proposed method. The paper can further improve the methods for the buy-sell two-sided matching decision-making and have a practical application value.

Multi-attribute Grey Interval Target Decision Making Model under Partial Weight Information

PEI Ling-ling, CHEN Wan-min

2013, 22(5):  134-139. 

Asbtract ( )  

References | Related Articles | Metrics

In order to solve the multi-attribute decision making problem under the conditions that decision-making information is the interval number and the weight information is partially known, the grey target decision making model is expanded in this paper. First, the grey interval target and its bull's-eye are established, and overall values of all programs based on the criteria to maximize the weights of all the projects are optimized based on the criterion to maximize the sum of all attributes' values. Then, the two-stage method is used to find the optimal coordination vector and thus all the projects can be ranked by comparing the overall values. Finally, the effectiveness and practicality of the model is proved by real project.

Duopoly Game With Multi-period Bounded Rationality in Renewable Resource Extraction

DING Zhan-wen, GE Dong-liang, JIANG Shu-min

2013, 22(5):  140-145. 

Asbtract ( )  

References | Related Articles | Metrics

Based on multi-period bounded rationality, a dynamical system for the duopoly game of renewable resource extraction is proposed in the work. In the dynamics modeled each producer's optimal extraction strategy is chosen to maximize his discounted profits in several adjacent periods. Dynamical analysis is done for the influence of the model parameters on the equilibrium state and its stability, and economic explanations for the results are given. A controlled system with feedback control is given and its stability is discussed. Numerical simulation is made to show the influence of the parameters on the convergence speed of the dynamics. The main conclusion shown from the dynamical analysis of the system is that the stability and sustainability of resource development is correlated and dependent with decision-makers' rationality of focusing on the long-term profits.

Enthusiasm for Labor About Axiomatic System on Boxed Pigs Under Background of Time-consuming Technology Developments

JIANG Dian-yu, JIANG Meng-qing, HU ling, ZHU Xiao-yang

2013, 22(5):  146-152. 

Asbtract ( )  

References | Related Articles | Metrics

In an axiomatic system on boxed pigs under background of time-consuming technology developments, the function relations between the two pigs' enthusiasm for labor and the other factors are given and the relations between the two pigs' enthusiasm for labor is also discussed, by axiomatic methods. A main conclusion is that the small pig's enthusiasm for labor is greater than the big one's if each of them can get profit when he labors. The research result shows that the two pigs' enthusiasm for labor can be controlled by setting or adjusting some indices in the system.

Application Research

Analysis of Strategy for Service Provider with Adequate Demand in Customer-Intensive Service

LI Wu-qiang, LIU Shu-lin

2013, 22(5):  153-159. 

Asbtract ( )  

References | Related Articles | Metrics

In a wide variety of service industries, providing good service requires a high level of diligence and taking more time. Such service is called customer-intensive service. Usually, the value provided by such service increases with the time the service provider spends with the customer, but the waiting time would be longer at the same time. So, how can the service provider max revenue by setting service speed and price? As the queue theory is well known about describing the service process and congestion, the M/M/1 queuing model is introduced to analyse this problem for the monopolist with adequate demand when waiting cost is subdivided into time cost and anxiety cost. The paper shows that the revenue decreases as unit time cost and anxiety cost increase, but the reduction by unit anxiety cost is lower than unite fixed cost. Also, the strategy which suggests reducing anxiety cost by inputting certain service cost for waiting customers is proved available for the monopolist getting a higher revenue.

Study on Market Price of Oilfield Class-A Materials Forecasting Based on ARIMA Model

WANG Chun-bao, LIU Ruo-yang

2013, 22(5):  160-165. 

Asbtract ( )  

References | Related Articles | Metrics

The monthly market-price forecasting framework for the Oilfield Class-A materials, taking a large proportion in total purchasing cost, is considered based on the ARIMA model in time series method. The framework includes the sample set module and the ARIMA module. The sample set module provides a sample input for forecasting and updating in real time. The ARIMA module includes how to fit, test, forecast, evaluate and dynamically revise the model. According to the framework, in China Daqing Oilfield, market-prices in three places from January to December in 2011 of the Small Deformed Steel Bar(20-HRB335)in Class-A materials are predicted, including Tianjin, Shijiazhuang and Shenyang. The accuracies of the prediction are no more than 2.13%,1.64% and 1.82%, respectively, which is given a high evaluation by users. It provides the basis for Daqing Oilfiled Materials Corporation in making optimal material purchasing decision. Finally, suggestions of improving this framework are presented.

Crude Oil Price Chaotic Forecasting Method Based on Hybrid Model

ZHANG Jin-liang, TAN Zhong-fu

2013, 22(5):  166-172. 

Asbtract ( )  

References | Related Articles | Metrics

Due to the characteristics of crude oil spot price, such as non-linear, time-varying, this paper proposes a new chaotic prediction approach based on wavelet transform, Elman neural network and Generalized Autoregressive Conditional Heteroskedastic model. Firstly, the crude oil spot price series is decomposed and reconstructed into approximate series and detailed series. Secondly, the phase space of approximate series and crude oil futures price series are reconstructed. Then, the approximate future values are predicted by chaotic time series model based on Elman neural network. While the detailed future values are forecasted by GARCH model, using the detailed series as historical data. Finally, the sum of the approximate and detailed future values is used as the final forecasting values. The example indicates that the proposed method can provide more accurate forecasted results.

Wartime Three-levels Spare Parts Maintenance Support Optilization Based on Availability

GAO Jian-jun, JIANG Li-qiang, GUO Qiang, HUANG Li-po, CHEN Min-ya

2013, 22(5):  173-176. 

Asbtract ( )  

References | Related Articles | Metrics

For the problem of availability of spare parts support, combined with the existing research, we take into account the actual situation of wartime equipment support and the life of the differences between the old and new spare parts, analyze the impact of spare parts scheduling on the availability, establish the availability mo-del of the three-levels spare parts scheduling, and use the classic scheduling algorithm to optimize support of spare parts. The last example shows the effectiveness of the method.

Study on Information Flow among Chinese Stocks from the Perspective of Complex Networks

HUANG Wei-qiang, ZHUANG Xin-tian, YAO Shuang

2013, 22(5):  177-184. 

Asbtract ( )  

References | Related Articles | Metrics

Understanding the information flow between stocks in a stock market plays very important roles in stock pricing, investment portfolio and risk management. This paper integrates traditional econometrical methods with complex network modeling and analyzing methods. We empirically investigate the effects of some influencing factors on the information flow between Chinese stocks, and the individual stock information flow ability distribution and its influencing factors from the perspective of complex networks. We find that the changes of time scale in return affect the information flow among stocks. Stocks with a strong correlation mean more significant information flow than stocks with a weak correlation. The market wide factors significantly strengthen the information flow effects among stocks. The information flow effects are strengthened(weakened)with the up(down)of the market. The individual stock information flow ability obeys a higher peak and fat right tail distribution. The stock transaction amount has a significant positive effect on the stock's information flow ability. Finally, we confirm, via the MST method, that the information flow among stocks could be assessed effectively with the reduced linkage relationships among all links among stocks from the perspective of the overall market.

Analysis Model and Empirical Research on Product Innovation Process of Manufacturing Industry Enterprises Based on Entropy-Topsis Method

YIN Hang, LI Bai-zhou, GUO Tao

2013, 22(5):  185-195. 

Asbtract ( )  

References | Related Articles | Metrics

It can be found from empirical research that process management has an affect on product innovation performance. Based on ecological niche theory, this article finds sequential evolutional of product innovation process including concept design, R&D management, the debugging, industrial manufacturing and market ecological niche. Through analyzing influencing factors of different child ecological niche of product innovation process, evaluating indexes are set up to measure evolutional status of different child ecological niche in innovation process. Furthermore, one hundred and three product innovation projects information of different child ecological niche are collected to carry out empirical research, evolutional status can be measured and theory model can be validated based on Entropy-Topsis method. In conclusion, product innovation is a system of emphasizing process, different segments of product innovation process should not be unilaterally separated, precise definition of different administrative modules and evolutional sequence is more suitable to carry out targeted management and adjustment for promoting success average of product innovation. Operational steps expounding of dimensional structure analysis, measuring indexes setting up and Entropy-Topsis model establishment provides diagnostic analytical view for administrators to select innovation orientation and deal with problems in innovation process.

NPD Project Complexity Evaluation Based on 2-order Additive Fuzzy Measures Method

ZHANG Yan-lu, YANG Nai-ding

2013, 22(5):  196-202. 

Asbtract ( )  

References | Related Articles | Metrics

With respect to the interaction among some complexity indexes of NPD project and the limitation of traditional evaluation methods, the 2-order additive fuzzy measures method based on multi-attribute with interaction is proposed to evaluate the complexity level of NPD project. After defining the concept of project complexity based on the two main viewpoints of ontology and epistemology, the paper establishes the complexity evaluation index system of NPD project, which is composed of product complexity, environment complexity, organization complexity and technology complexity. By introducing the transformation relationships among the fuzzy measures, mobius representation and interaction index, a new method for identifying the 2-order additive fuzzy measures is proposed on the principle of maximum Marichal entropy. Then the paper presents the Choquet integral as an aggregation operator to calculate the synthetical values of the alternatives from bottom to top. Finally, an example is given to demonstrate the feasibility and validity of the proposed method, which will reduce the difficulty in making decision for experts to some extent and have a relatively strong practicability.

Application of Fuzzy TOPSIS Based on alpha Level Sets in Evaluating Public Crisis Management Capability

YU Li-ying, JIANG Zong-cai

2013, 22(5):  203-208. 

Asbtract ( )  

References | Related Articles | Metrics

Scientific and objective evaluation of public crisis management is of vital importance to the improvement of crisis management system. A three-perspective evaluation system of crisis management capability is proposed in this paper, which includes the forecast capability before crisis, emergency response capability during crisis, and recovery capability after crisis. Considering the ambiguity of people's judgment about complex things, the triangular fuzzy numbers are used to quantize experts' qualitative evaluation results. A fuzzy TOPSIS evaluation model based on alpha level sets and a nonlinear programming(NLP)solution procedure to acquire the fuzzy relative closeness of each alternative are put forward to get the objective evaluation result without fuzziness. A case study is carried out to testify the feasibility and effectiveness of the model.

Management Science

Economic Effects of Inter-industry Platform Cooperation with Consumer Multi-homing

DONG Wei-gang, XU Yu-hai, FU Hong-fen

2013, 22(5):  209-216. 

Asbtract ( )  

References | Related Articles | Metrics

Considering the fact that inter-industry platform cooperation improves users' intrinsic benefit, the paper constructs a duopoly model with consumer multi-homing to analyze economic effects of the cooperation. The analysis shows that as the intrinsic benefit of users on the cooperation platform increases, not only prices on its both sides, but its asymmetry of pricing structure and demand will rise. But as to the non-cooperation platform, inter-industry platform cooperation drives prices on its both sides and demand on the single-homing side fall. We also find that if the difference between cooperation platform and non-cooperation platform is large enough on the single-homing side, the non-cooperation platform will decrease the price of this side more than that of the other side. Otherwise, the non-cooperation platform will decrease the price of the multi-homing side more than that of the single-homing side. The paper also indicates that inter-industry platform cooperation improves the profit of the cooperation platform, reduces the profit of the non-cooperation platform, and enhances the consumers' surplus and social welfare. This reminds the regulatory agency that it should pay more and more attention to public policies on cooperation in two-sided market to avoid excessive interference.

Research on Inventory Strategies in One-echelon Spare Parts Inventory System with State Monitoring

WANG Wei-na, SUN Lin-yan, ZHANG Sheng-hao, WANG Ling

2013, 22(5):  217-225. 

Asbtract ( )  

References | Related Articles | Metrics

In this paper, we study the replenishment strategies faced by enterprise spare parts management. To draw close to the actual condition, we combine the spare parts inventory strategies with equipment state monitoring by using a Markov process to model the probability of equipment's requirement. We consider three models in this paper: a static base-stock inventory strategy; dynamic base-stock inventory strategy with state monitoring and dynamic base-stock inventory strategy based on key state monitoring. Our conclusions show that the first two models can change to a newsvendor problem in some situation and we can sovle them by some optimization methods. Compared with the advantages and shortages of those two strategies, we provide a new heuristic strategy: dynamic base-stock inventory strategy based on key state monitoring. Results show that the shortage cost of dynamic ordering model under state monitoring is the lowest. But the new strategy can reduce the search cost to get all equipment's state, and the new strategy is easier to use for companies.

Method of Identifying Key Quality Characteristics in Multistage Manufacturing Process Based on PLSR

WANG Ning, XU Ji-chao, YANG Jian-feng

2013, 22(5):  226-232. 

Asbtract ( )  

References | Related Articles | Metrics

To solve the multicollinearity problem between quality characteristics in identifying the key quality characteristics of multistage manufacturing process, the partial least squares regression(PLSR)method is introduced to model and analyze the key quality characteristics identifying model. Firstly, the state space model is applied to model the key quality characteristics identifying model multistage manufacturing process. Then using the PLSR method to solve the multicollinearity problem, we make a model analyse and identify the key quality characteristics. Lastly, the cigarette production process is taken as an example to introduce the method application. The result shows that this method not only could identify the key quality characteristics in multistage manufacturing process, but also establish the model of output quality effecting of all levels on the final product quality and their quality characteristics relationship, which reflect the structure of the multistage manufacturing process and causal relationship between quality characteristics at all process levels, providing the basis for quality analysis and control in multistage manufacturing process.

Critical Time Point Analysis Model of Substituting Coal Power Resources for Nuclear Power Resources

YAN Qing-you, TANG Xin-fa

2013, 22(5):  233-239. 

Asbtract ( )  

References | Related Articles | Metrics

Along with the increasing demand of electric power in china, the coal EPR is depleting. The development of alternative resources of traditional electric power resources has become an important way for the sustainable development of electric power in our country. We construct a social value evaluation model for electric power resources, so as to explore the economic law of nuclear EPR to replace coal EPR. By using the optimization theory, we compute the ideal time of nuclear power resources replacing coal power resources and analyze the replacement condition between nuclear power resources and coal power resources. Then, we analyze to what extent it is affected and what is the reason of power resource allocation under the condition of production externality. We find that the process of nuclear power replacing coal fire electric power is blocked by the externality of production process of electricity. According to the actual situation electric power production we put forward the corresponding incentive recommendation to promote low coal clear power resources replacing high coal dirty fire electric power resources to realize the sustainable development of environment, economic and electric power.

A Stochastic Catastrophe Model of Knowledge Sharing Within a Team Including Simulations

XU Yan, HU Bin, YANG Yong-qing

2013, 22(5):  240-249. 

Asbtract ( )  

References | Related Articles | Metrics

An evolutionary game model on knowledge sharing within a team is developed, in which oversight mechanism and award mechanism are introduced. The Gaussian White noise is introduced to show the disturbance in this game. The catastrophe of sharing behavior, emerging from the continuous changes of the parameters about motivation mechanisms, the natures of members and the interactions between them, is analyzed by means of stochastic catastrophe theory(SCT). The catastrophe set of control variables is found to explain and forecast the catastrophe of strategic alliances. In the evolutionary process, there are several catastrophe characteristics: bimodality that implies the sensitivity to external disturbance; sudden jumps that imply the sensitivity to the continuous changes of the parameters; hysterisis that reflects the fact that it is more reliable to maintain sharing knowledge than to administer non-sharing knowledge.

Evolutionary Research on the Credit Behaviors of Small and Medium Sized Private Enterprises

MA Guo-Jian, DU Jian-guo, ZHANG Dong-Hua

2013, 22(5):  250-255. 

Asbtract ( )  

References | Related Articles | Metrics

In order to study the evolutionary law of small and medium sized private enterprises' credit behaviors, this paper applies the theory of evolutionary economics to build their credit behaviors evolutionary game model and shows the evolutionary direction by computer simulation. The study finds that if the small and medium sized private enterprises pursue short-term interests, or they are lack of fair punishment by the third-party organization, and just suffer small-loss of assets after dishonesty, then the credit behaviors of small and medium sized private enterprises will evolve into the bad “lock-in” condition.