Table of Content

25 November 2019, Volume 28 Issue 11

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Theory Analysis and Methodology Study

Research on Optimization of Airport Task Assignment Problem

TIAN Qian-nan, LI Kun-peng, LI Wen-li, XU Dong-yang

2019, 28(11):  1-8.  DOI: 10.12005/orms.2019.0241

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Airports are one of the biggest complexes we humans operate on the earth. For aircraft to land and take off safely and yet on schedule, there are so many tasks to perform by ground staffs. Luckily, most of the tasks can be pre-defined ahead of times, according to the flight schedules and aircraft types. Airport ground staffs work in shifts to perform the tasks. In this paper, an airport task assignment problem is explored, which comes from a domestic airline. The problem is to assign tasks with special properties to a limited number of shifts. Due to the diversity of the properties of airport tasks and shifts, the problem of airport task assignment is a very complicated combinatorial optimization problem, which belongs to NP-complete problem. A mathematical optimization model is established and the objective is to maximize the total benefit by completing tasks, put forward effective inequality and apply software CPLEX to solve the actual data. The results show that the optimal solution of given size instances can be obtained in a short of time by CPLEX. Moreover, the impacts of various properties of tasks and shifts are explored via computational experiment as well. Through the practical data test comparison, we gain the conclusion that, according to the characteristics of the problem, adjusting appropriately different factors can not only improve the effective utilization rate of airport resources, but also the efficiency and service level of the airport.

Optimizing the Horizontal Transport of Automated Container Terminals Considering AGV Driving Behavior

WANG Cong, JIN Chun, LI Zhao-long

2019, 28(11):  9-17.  DOI: 10.12005/orms.2019.0242

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Aiming at the characteristics of AGV scheduling problems(AGVSP)in horizontal operation of automated container terminals, which consider the effect of AGV operation behavior on operation efficiency and energy consumption, while solving the overall operation optimization, a bi-level planning model with AGV operating efficiency and energy consumption as the dual objectives is established. This model takes into account both the characteristics of AGV traditional operationmode and AGV duel-cycle operationmode. On this basis, a corresponding bi-level genetic algorithm is designed to solve the model problem. Through numerical experiments, the model is verified and compared among 4 different situations, from combination withconsidering and without considering the operation behavior affection, the traditional operationmode and duel-cycle operationmode.The results show that this model can effectively reduce the energy consumption of AGV without affecting the operating efficiency.

Optimization Model and Algorithm of Feeder Line Containership Scheduling Based on Variable Speed

JI Ming-jun, ZHANG Kai-fang, ZHU Hui-ling, ZHANG Yan

2019, 28(11):  18-26.  DOI: 10.12005/orms.2019.0243

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With the increasing competition in the shipping market and the development of large-scale container ships,more and more shipping enterprises choose the mode of hub-and-spoke shipping network. As an important part of hub-and-spoke shipping network, the feeder network optimization problem is highly concerned by scholars. This study discusses the feeder scheduling problem considering the variable navigation speed andeconomic navigation speed,and establishes a nonlinear mixed integer programming model to minimize the total operation cost by taking into account the time window restrictions of the hub ports and the feeding ports. Themodel of a small-scale example is solved by the professional solver, and the accuracy of the model is verified. At the same time, an improved genetic algorithm is designed to solve the scheduling problem of large-scale feeder ships. In order to further improve the quality of the solution,a multi-agent evolutionary algorithm is designed. The numerical results show that the operation cost in the scenario with variable speed is lower than the operation cost in the scenario with economic navigation speed. In terms of algorithm efficiency, the convergence speed of genetic algorithm is faster,but the multi-agent evolutionary algorithm can obtain a better solution with higher accuracy.

An Approach to Storage Location Assignment Problem Based on Flying-V layout

LIU Jian-sheng, ZHANG You-gong, XIONG Feng, HU Ying-cong

2019, 28(11):  27-33.  DOI: 10.12005/orms.2019.0244

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Flying-V layout is a classic non-traditional warehouse layout. In view of the storage location assignment problem with Flying-V layout, inventory efficiency and barycenter of storage goods are taken as the optimization objective based on its characters. A multi-objective optimization model of the storage location assignment is established. Subsequently, an adaptive genetic algorithm and a particle swarm optimizationare designed to solve the above issues. To accelerate the convergence and solve the premature problem of GA and PSO, adaptive strategies are adopted in the selection, crossover and mutation of the GA algorithm, and the inertia weight linear decreasing strategy is designed in PSO, which enhances the optimization performance of the algorithm. The genetic operators aredesigned, and the specific encoding is given. Finally, to verify the effectiveness and superiority of the proposed adaptive GA and PSO algorithm, a case is implemented with MATLAB software. Compared with adaptive GA algorithm, the results demonstrate that the proposed PSO algorithm has superior performance both in convergence rate and optimization effect. Contributions of the paper are the modeling and solving of the storage location assignment based on the Flying-V warehouse layout.

Intelligent Dispatching and Optimization ofBusBased on Genetic Algorithms: an Example fromHengshan Scenic Area of Nanyue

PENG Die-fei, PENG Yi, GUO Xiao

2019, 28(11):  34-38.  DOI: 10.12005/orms.2019.0245

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The Heng Mountain(or Nanyue)is well-known at home and abroad for its cultureandscenery. In order to study the optimization of bus routes in scenic spots, genetic algorithm is used to solve the proposed scheduling model. Firstly, according to the existing public transport resources in scenic spots and the travel rules of tourists, three optimization objectives are constructed: the cost of public transport, waiting for tourists and loss of tourists. Then, to realize both the interests of the passenger and the operating company, the model is further improvedby using the linear weighting method. Finally, the vehicle scheduling scheme is solved by using the research data based on Matlab. It shows that the model optimizes the tourism traffic organization of Nanyue scenic spot, meets tourists’ reasonable demand, improves its tourism management and service, and truly enjoys the famous brand of “Shou Yue Independent Show” in Nanyue scenic spot.

Cold Chain Network Optimization Based on the Disgusting Behavior

LIU Hong, ZHAO Jing

2019, 28(11):  39-43.  DOI: 10.12005/orms.2019.0246

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Customer’s requirements for the freshness of cold chain products is increasing, but as time goes by, the quality of cold chain products is gradually declining, and the psychology of customers is changing accordingly. Considering the case of traffic congestion, this paper gives the customer aversion function on the basis of this, and gives the distribution center aversion function according to the different occupancy time of the vehicles and the drivers. Under a series of constraints, the corresponding mathematical model is established with the objective function of minimum aversive behavior and minimum cost. Finally, with an example to simulate, it is proved that the established mathematical model is feasible.

Evolutionary Game Analysis of the Value Co-creation of the Stakeholders in the Environment of Service Ecosystem

CHEN Ju-hong, WANG Hao, ZHANG Ya-qi

2019, 28(11):  44-53.  DOI: 10.12005/orms.2019.0247

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As a new pattern of value co-creation under the network environment, service ecosystem has become one of the hot topics in the academic circle in recent years. First, on the basis of a clear model of value co-creation, the stakeholders in the value creation process are divided into service providers, service promoters and service recipients. On this basis, an evolutionary game has been developed to characterize the equilibrium state its benefits of value co-creation in service ecosystem. Finally, we compare and analyze the equilibrium state and the results of the value co-creation of service ecosystem under different conditions. The research results show that: Price elasticity plays a leading role in the evolution of service ecosystem, and directly affects the status of service revenue and the equilibrium state of the system. Under natural conditions, value slip reduces the efficiency of system value creation, and the return value of equilibrium is lower than the maximum value of the system. In order to improve the efficiency of value co-creation, the reward strategy “R” is used to adjust the evolution state, and the penalty strategy “L” is applied to speed up the convergence speed of the system.

Researchon Chaotic Dynamics of Multi-channel SupplyChainPrice Game between Professional Retailers and Factory Direct Sellers

YIBULAYIN·Wusiman, GUO wen-qiang, ABUDOUREHEMAN·kadier , YU kai

2019, 28(11):  54-59.  DOI: 10.12005/orms.2019.0248

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In the retail market, the price competition between professional retailers and factory direct sellers has become increasingly prominent. Under the background, a multi-channel supply chain price game model consisting of professional retailers and factory direct sales companies has been constructed. With theoretical theories of management, economics, and chaos dynamics, theoretical verification and data simulation of the dynamic evolution process of long-term price game among various channels in multi-channel supply chain are conducted to study the decision-making variables of specialty retailers , manufacturers’ direct sellers, andthe impact of the changes on the market. Studies have shown that the constant increase in the price decision-making variables of both parties has brought the market into chaos disorder from stability. Using the adjustment parameters can effectively control the chaos. The research results have good theoretical and practical value.

ethod for Multiple Attribute Decision Making Based On Shapley Value and Cross-entropy with Hesitant Fuzzy Set

YU Qian, HOU Fu-jun, CAO Jun, LIAO Ya

2019, 28(11):  60-67.  DOI: 10.12005/orms.2019.0249

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Based on the combination of Shapley theory and fuzzy measures, an induced generalized hesitant fuzzy hybrid Shapley average(I-GHFHSA)operator and an induced generalized hesitant fuzzy hybrid Shapley geometric(I-GHFHSG)operator are proposed for hesitant fuzzy multi-attribute decision making to utilize information more completely. And some related properties of these operators are studied in detail. The proposed operators can not only globally reflect the interactive characteristics among the hesitant fuzzy arguments themselves and their ordered positions,but also consider the importance of the arguments and their ordered positions. Moreover, considering the existence of the situations where the fuzzy measures of attributes and ordered set are incompletely known,a series of programming models based on cross-entropy and Shapley function are constructed to determine the optimal fuzzy measures. Furthermore, a multi-attribute decision making approach in the form of hesitant fuzzy information based on the proposed operators is presented. Finally, an illustrative example is used to verify the feasibility and rationality of the method.

Hesitant Triangular Fuzzy Heronian Mean Operators and Their Application in Multiple Attribute Decision Making

WANG Juan, JIN Zhi-xin

2019, 28(11):  68-76.  DOI: 10.12005/orms.2019.0250

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For solving the multiple attribute decision making problems in which the attribute values are in the form of hesitant triangular fuzzy elements and the attributes are associated with each other, some approaches to multiple attribute decision making are proposed based on hesitant triangular fuzzy Heronian mean operators. Firstly, considering that the existing Heronian mean operators only consider the correlations of any two aggregated arguments, we develop the new three parameters weighted Heronian mean(TPWHM)and three parameters weighted geometric Heronian mean(TPWGHM)operators, and have proved some desirable properties of these proposed operators, such as reducibility, idempotency, monotonicity and boundedness. Some special cases are discussed. Then because hesitant triangular fuzzy sets can easily express fuzzy information, we investigate the hesitant triangular fuzzy three parameters weighted Heronian mean(HTFTPWHM)and hesitant triangular fuzzy three parameters weighted geometric Heronian mean(HTFTPWGHM)operators, and discuss some properties of the proposed operators. Moreover, some approaches based on the developed operators are proposed. Finally, we give an example to illustrate the feasibility and rationality of the proposed approaches.

Simulated Annealing with Variable Neighborhood for Time-Dependent Vehicle Routing Problem with Time Window

ZHANG Jian-tong, DING Ye

2019, 28(11):  77-84.  DOI: 10.12005/orms.2019.0251

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Conventionally, vehicle routing problems with time window(VRPTW)are defined in constant vehicle’s speed. Typically, vehicle’s speed is different in variant duration of time. This paper explicitly considers time-dependent vehicle routing problem with time window(TDVRPTW)through regarding the speed as a time-dependent piecewise function, which is more meaningful. Moreover, to overcome the defect of getting into the local optimum in simulated annealing algorithm(SA)and the slow convergence speed of the variable neighborhood search algorithm(VNS), an improved algorithm, simulated annealing with variable neighborhood(SAVN), for solving TDVRPTW is proposed based on the combination of SA and VNS, which changes into a new neighborhood structure to enlarge the search space when getting into the local optimum. The capacity as well as the velocity of the algorithm for global search undergoes significant improvability. And the simulation result of SAVN, compared with those of SA and VNS, shows the ability of SAVN to jump from local optimal solution and guide the search in promising directions.

FCM-ISA Algorithm for Continuous Location Model of Fresh Produce Multi-Distribution Centers And Application

WEI Jie, WANG Jia-xin

2019, 28(11):  85-90.  DOI: 10.12005/orms.2019.0252

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Research on the continuous location problem of fresh produce multi-distribution centers is an important issue. In order to solve this problem, the initial solution is usually generated by random way of the previous algorithms, but this will cause the search range to be too large and easy to fall into local optimum,thus a new algorithm for solving continuous location problem of multi-distribution centers is proposed. Firstly, a continuous multi-distribution centers location model with minimum distance constraints is established. Then, a fuzzy c means clustering-improved simulated annealing(FCM-ISA)algorithm is designed. And finally, taking Hangzhou as an example, we verifies the validity of the model and design algorithm is. The results show that the continuous multi-distribution centers model of fresh produces established in this paper is more accordant with practical circumstances, and also the designed FCM-ISA algorithm has the advantages of fast convergence and better global optimization than the previous algorithms. It is of great guiding significance for scientific research on the location decision of the multi-distribution centers of fresh produce.

Method of Selecting Emergency Alternative Considering Regret and Disappointment Behaviors of Decision Maker

JIANG Yan-ping, LIANG Xia, ZHANG Hao

2019, 28(11):  91-97.  DOI: 10.12005/orms.2019.0253

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Considering that there are two kinds of psychological behaviors in emergency management when decision makers need to choose emergency plans. regret psychological behavior and disappointment psychological behavior, a new method for emergency plan selection with mixed information is proposed. Firstly, the utility value of emergency plan information about casualties, property losses and social impact is calculated.Then, considering the characteristics of two types of psychological behavior of decision makers, in order to determine the perceived utility of different emergency plans, the methods of calculating regret-rejoice value and disappointment-elation value are proposed respectively.In advance, considering the different input costs of different emergency plans, the perceived utility of decision makers about the input costs of different plans is calculated.On this basis, according to the overall perceived utility value of different emergency plans, emergency plans are ranked or optimized. Finally, an example is given to verify the feasibility and effectiveness of the proposed method.

Emergency Resource Allocation Model Based on Demand Forecasting of Domino Effect

ZHANG ling, LAN yun

2019, 28(11):  98-105.  DOI: 10.12005/orms.2019.0254

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Typhoon has strong destructive power, and often leads to a series of chain events that lead to Domino effect. Based on the analysis of the Domino effect of the initial accident, this paper constructs an emergency disaster relief network.First of all, this paper analyzes the development mechanism of the initial accident Domino effect, and combines empirical estimation method to establish a number of different situations.Then, the two stage emergency resource allocation planning model is established, and the robust optimization and the scenario relaxation algorithm are used to solve the model, and a reasonable resource allocation scheme is obtained.A case study is proposed to highlight the efficiency of the proposed model and solution algorithm.

Research on the Supply Chain Pricing Strategy for Basic Products and Add-onunder the Heterogeneity among Consumers

ZHANG Zi-jian, XU Mao-zeng

2019, 28(11):  106-111.  DOI: 10.12005/orms.2019.0255

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In this paper, a supply chain model composed of a manufacturer and a retailer is presented, where the retailer sell manufacturer’s base product and provide optional add-on for consumers meanwhile, to obtain the pricing strategy for manufacturer and retailer under the supply chain Muti-product pricing background. Subdivided consumer market of base product and add-on into base product separate consumer market and product joint consumer market is based on the heterogeneity among consumers for value added of add-on. Based on market segmentation proportion and value-added of add-on, the pricing strategy of manufacturer and retailer and the supply chain pricing equilibrium under different conditions has been discussed, and the relation of product pricing equilibrium with market segmentation proportion and value-added of add-on has been analyzed.

The Alcuin Number of Planar Graphs

SHAN Er-fang, ZHU Kai-li

2019, 28(11):  112-115.  DOI: 10.12005/orms.2019.0256

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The generalized river crossing problem is a class of combinatorial optimization problems and it may be viewed as generalizations of the classical wolf-goat-cabbage puzzle. A conflict graph is a graph in which two vertices are adjacent if and only if they are incompatile(for example, a wolf and a goat are incompatile). The river crossing problem is to determine the minimum required boat capacity to safely transport items represented by a conflict graph. The Alcuin number of a conflict graph is defined as the smallest capacity of a boat for which the graph possesses a feasible ferry schedule. In this paper we investigate the Alcuin number of planar graphs and give a complete characterization on the Alcuin number.

Application Research

Empirical Research on the Formation Mechanism of Customer’s Psychological Contract Based on TAM in B2C Situations

WANG Xiao-juan, WAN Ying-hong, CHENG Jia

2019, 28(11):  116-124.  DOI: 10.12005/orms.2019.0257

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This paper researches the formation mechanism of customer psychological contract based on TAM under the B2C context. We propose the formation mechanism model and assumptions of customers psychological contract under B2C scenarios through related literature review, and test the model and hypotheses by empirical analysis. The results show thatperceived ease of use and perceived risk have a significant influence on perceived usefulness; perceived usefulness and perceived ease of use have a significant impact on the psychological contract by the customer values/attitudes; at the same time, perceived ease of use and perceived risk have a significant and directly affect the psychological contract. The conclusion has a positive effect on the service providers to maintain and preserve customer relationships under B2C scenarios, and it also provides reference for promoting the perceived positive of customer psychological contract by establishing the positive regulatory intervention mechanism of the network businesses.

GAS-EGARCH Model with EGB2 Distribution and VaR Forecasting

YAO Ping, WANG Jie, YANG Ai-jun, LIU Xiao-xing

2019, 28(11):  125-134.  DOI: 10.12005/orms.2019.0258

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GARCH model is a common tool to describe the return of assets, which is widely used in the field of risk measurement. In order to more effectively describe the characteristics of skewness and fat-tailedness of the return, more and more scholars have studied the condition distribution of the GARCH model. However, it is not enough to modify the conditional distribution of GARCH model only, and the function form of the model itself needs to be modified. Time-varying parameter modeling based on the score function thought has attracted much attention for recent years. This article uses this idea to model thetime-varying logarithmic standard deviation in the EGARCH model, and uses the EGB2 distribution as the conditional distribution of the model, and then sets up the GAS-EGARCH-EGB2 model. In this paper, the risk prediction effect of the GAS-EGARCH-EGB2 model is studied by the 10 Chinese industry indexes. The empirical results are as follows. Firstly, the daily logarithmic return series of 10 Chinese industry indices showthe characteristics of skewness, fat-tailedness and time-varying volatility. Secondly, in terms of return series fit, EGB2 distribution has excellent distribution fitting effect, both types of EGARCH models can significantly reduce the autocorrelation of the first four moments of the return series, and among them the EGARCH model based on the moment function is better. Thirdly, with respect to the in-sample and out-of-sample VaR prediction, EGB2 distribution is the best, but, two kinds of skewed Logistic distributions and two types of skewed hyperbolic secant distributions also have good VaR prediction effects, and asymmetric distribution is significantly better than symmetric distribution. In total, both types of EGARCH models have good VaR prediction effects, and among them the EGARCH model based on the score function is better.

Study of Optimal Commitment Rate of Acceptance Bill in Confirming Warehouse

WANG Zong-run, SHI Jia-xing, ZHOU Yan-ju

2019, 28(11):  135-141.  DOI: 10.12005/orms.2019.0259

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This paper intends to search the change of bank’s profit when bank reduces even remitted commitment fee of acceptance bill from the standpoint of commitment rate. By establishing profit models of the retailer, the manufacturer and the bank, and successive analyses of retailer’s order quantity, manufacturer's choice of financing modes and bank's commitment fee rate, we find the following results: Commitment fee makes order quantity in confirming warehouse less than that in delaying payment, but the advantage that manufacturer can discount bank bill in advance can offset the disadvantage of order quantity. For bank, only commitment rate is reduced to be of critical value can confirming warehouse prior to delaying payment be manufacturer's choice of financing retailer. The optimal commitment rate is the result of both solving function of bank’s profit and considering competition between these two financing modes. Consequently, although banks reduce even remit commitment fee of acceptance bill for implementing the policy of “tax reductions and fee cuts”, they do not necessarily decrease their profit, and they can increase business of confirming warehouse. At the same time, reducing even remitting commitment fee of acceptance bill does good to improving supply chain efficiency.

Research into Hold-up Problem and Contract Design in Vertical R&D Partnership

PENG Wen-min, CUI Hong-wei, SHI Ben-shan

2019, 28(11):  142-148.  DOI: 10.12005/orms.2019.0260

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Considering the contractual incompleteness in a vertical R&D cooperation, we analyze the marketer’s hold-up behavior, and establish an investment-incentive model based on the hold-up-proofness milestone contract, then we obtain the researcher’s investment decision and the marketer’scontract design under different information structure. The result shows when the innovation’s type is public information, the contract satisfying all the constraints is achievable with a payment term that the up-front payment is zero and the milestone payment is equal to the value when it leaks the innovation to the outside party; when the informationis? symmetric, the marketer offers a screening contract with the mutual balance of two type innovations’ up-front payment and milestone payment. Through the analysis and comparison, it is found that the investment level is higher when the information is asymmetric, and the information superiority’s function of investment incentive decreaseswith innovation’s relationship-specificity and the probability of innovation with a high quality, but it is increasing with the ratio of low type innovation’s quality to high type innovation’s quality.

Sustainable Laboratory Evaluation Method Based on Improved Pythagorean Fuzzy Linguistic Set

ZHU Yu-ting, HAN Ying, YUAN An-fu

2019, 28(11):  149-155.  DOI: 10.12005/orms.2019.0261

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With the continuous development of education in the disciplines of chemistry, electronics, and computers, the problems of environmental pollution in large and medium-sized schools and research institutes have gradually emerged. It is noted that the focus of China's current sustainable development is mostly concentrated on industrial enterprises. For the first time, the concept of sustainable development has been introduced into laboratory management. As the three pillars of sustainable development, the inevitable contradictions and conflicts between the economy, the environment, and the society, the interaction among the three further exacerbates the complexity of evaluation. Pythagorean fuzzy language sets have powerful description capabilities for complexity and conflict. However, it is found that the existing Pythagorean fuzzy language sets have certain flaws. An improved Pythagorean fuzzy language set is proposed in this paper, and an improved comprehensive sustainable laboratory evaluation method based on the new concept is given. Examples demonstrate the effectiveness and feasibility of the new method.

Evolution Model and Simulation of Investors Behavior in Stock Market Based on Hybrid Learning Strategies in Network

BIAN Yue-tang, LIU Xia-qun, LI Jin-sheng

2019, 28(11):  156-168.  DOI: 10.12005/orms.2019.0262

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Aiming at the characteristics of imitative learning in investors’ bounded rational decision-making behavior, this paper systematically analyzes the decision-making mechanism of individual investors and institutional investors on the theory of complex networks, Bayesian learning and social learning theory. Then, the evolution model of investors’ behavior based on the hybrid learning strategies in network is constructed, and investigated by mean-field analysis and simulations on the evolution characteristics of investors’ behavior. The conclusions are drawn as follows: First, the heterogeneity and connectivity of network have a greater influence on the evolution of the individual investors’ behavior than that of the institutional investors. Second, the learning strategy preference of individual investors places a significant effect on the stability of the equilibrium states of individual investors’ behavior. Third, the equilibrium state of institutional investors’ behavior is in nonlinear co-relation with the accuracy of the institutional investors’ private information. Last but not the least, as to all institutional investors and individual investors, the initial state of the investors’ behavior has a small influence on the equilibrium of their evolution.

Impact of Individual Characteristics of Executives on the Choice of the Equity Incentive Mode

LI Miao, HU Wen-xiu, ZHANG Jian-feng

2019, 28(11):  169-177.  DOI: 10.12005/orms.2019.0263

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The choice of the equity incentive mode of listed companies has always been concerned by the community. This paper uses the data of listed companies that implement equity incentives from 2006 to 2017 to study how the individual characteristics of executives affect the choice of equity incentive mode. The results show that individual characteristics of executives such as executives’ age, tenure, education and social capital significantly affect the choice of the equity incentive mode. If the executive’s age is older, tenure is longer, education is higher, and social capital is more abundant, the company is more likely to grant the restricted stock to them. If proportion of male executives is larger, the company is more likely to select the stock option, but the effect of gender is not significant. The conclusions are still valid after a series of robustness and endogenous tests. The conclusion of this study enriches the theory of equity incentives, and provides reference for the listed companies to select equity incentive mode scientifically and rationally.

Management Science

Manufacturer’s Distribution Strategy Considering Physical Store’s Fairness Concern

PU Xu-jin, LIU Ran, JIN De-long

2019, 28(11):  178-184.  DOI: 10.12005/orms.2019.0264

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The physical store’s vertical distributional fairness concern and horizontal peer-induced fairness concern are incorporated in a dual-channel supply chain by constructing a game model to investigate how the two types of fairness affect online channel mode selection of manufacturer. The results from numerical simulations show thatwhen the degree of physical store’s vertical distributional fairness concern is relatively low, the manufacturer should choose direct selling mode;when the degree of physical store’s vertical fairness concern is relatively high,and the e-commerce requires a small rent ratio, the manufacturer can get a higher profit level by choosing agency selling;but if the e-commerce requires a large rent ratio,the manufacturer can get a higher profit level by choosingdirect selling.When meeting certain market conditions,both the manufacturer and physical store will preferdirect selling mode or agency selling.

Research on Remanufacturing Scheduling under Uncertain Conditions

GAO Geng-jun, LUO Yao

2019, 28(11):  185-190.  DOI: 10.12005/orms.2019.0265

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Aiming at the scheduling problem in the remanufacturing process under uncertain conditions(quality condition of used parts and reprocessing time), the random numbers and triangular fuzzy numbers are used to represent the uncertainties of the quality condition and the reprocessing time respectively. The minimum value of the sum of makespan and total cost with weight coefficients respectively is regarded as objective function under the constraints of operation sequence and machine, and the fuzzy model of remanufacturing production scheduling under uncertain environment is constructed and converted into a deterministic single objective nonlinear programming model. An example of a remanufacturing subsystem is solved by using multilayer genetic algorithm. The results shows that the scheduling scheme depends on the decision makers’ different emphasis on the makespan and total cost. Therefore, it needes to make decisions according to the focus of its own attention and select the appropriate scheduling scheme. And the schedule results are influenced by the negative or positive attitude of decision maker. The more active the attitude is, the better the result is, and in contrast, the more negative the attitude is, the worse the result is. Thus, the correctness of the remanufacturing production scheduling model is verified. These investigations are expected to provide relevant reference for the industrialization and scale of remanufacturing.

A Type of Estimation Model and Its Application for Earthquake Disaster Personnel Death

HUANG Xing, ZENG Jing, LIU Jie

2019, 28(11):  191-199.  DOI: 10.12005/orms.2019.0266

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In order to improve the accuracy of the estimation model for earthquake disaster death, the paper puts forward5 indexes for estimating the death amount after earthquake disaster, including epicenter intensity, magnitude, earthquake disaster occurrence time, population density and damaged area of building. It regards the “two-phase” laws of earthquake death distribution as the theory, and put forward the earthquake death estimation model based on the partial normal distribution cure, in which the main variable is the epicenter intensity. To improve the accuracy and stability of the estimation model, it amends the partial normal distribution cure by using the method of the coefficient adjustment. In other words, it uses some coefficient, including the magnitude coefficient, earthquake disaster occurrence time coefficient, population density coefficient and building damaged area coefficient, to mend the partial normal distribution cure. The experiment results show that the partial normal distribution cure has some advantages, including low sensitivity and high accuracy, compared with ANN, multivariate linear equation, high order nonlinear equation and logarithmic function. In total, the estimation model of earthquake death can be applied to practice.