Table of Content

31 October 2019, Volume 22 Issue 5 Previous Issue    Next Issue

For Selected:

Download Citations EndNote Reference Manager ProCite BibTeX RefWorks

Toggle Thumbnails

articles

A Research of Investment Cooperation Mechanism of Network Intrusion Detection and Defense Subsystems in the Supply Chain ZHANG Zijian, TAO Xiaomu, XIONG Xuexia 2019, 22 (5):  1-9.  doi: 10.3969/j.issn.1007-7375.2019.05.001 Abstract ( 877 )   PDF (439KB) ( 5721 )   Save Aiming at the network space supply chain security system composed of intrusion detection and intrusion prevention subsystems, the study is conducted on the cooperation and coordination mechanism of security system construction jointly invested by upstream and downstream enterprises of the supply chain. Considering intrusion defense subsystem and investment cost of complementary effect of intrusion detection subsystem, the supply chain to maximize benefits of intrusion prevention subsystems and the intrusion detection subsystems' optimal level of security are analyzed, while discussing the investment decision-making mechanism of discrete decision situation, where suppliers and retailers are responsible for intrusion detection and intrusion prevention subsystems of investment decision-making mechanism. On this basis, the reward and punishment mechanism of supply chain security system investment is designed to realize the coordination and cooperation between upstream and downstream investment in different subsystems. References | Related Articles | Metrics

A Research on Multi-object Code Obfuscation Model Based on NSGA-II SU Qing, LIN Hao, XIE Guobo, LIN Zhiyi 2019, 22 (5):  10-18.  doi: 10.3969/j.issn.1007-7375.2019.05.002 Abstract ( 1060 )   PDF (1245KB) ( 5702 )   Save With the application of the multiple inter-conflicting objects during the code evaluation, which is a key aspect of code obfuscation in industry engineering, and the optimization of the code obfuscation technology application sequence, a code obfuscation model based on NSGA-II genetic optimization algorithm for multi-objective optimization was developed. Dendritic gene coding using Abstract Syntax Tree (AST) was proposed. Several crucial operations including crossover, mutation and selection adapting to code obfuscation were designed. A set of software complexity indicators that some of them have been optimized was created as the objective functions of NSGA-II. Ample experimental schemes having different types or objective numbers was designed and implement to validate the model with a variety of representative code obfuscation technologies. References | Related Articles | Metrics

Evaluation and Optimization of Total Factor Energy Efficiency of Manufacturing System Based on DEA WANG Qiulian, HUANG Yuan 2019, 22 (5):  19-24.  doi: 10.3969/j.issn.1007-7375.2019.05.003 Abstract ( 1008 )   PDF (345KB) ( 5646 )   Save At present, the energy efficiency evaluation of the manufacturing system in the machining workshop has many problems to be solved. For example, it needs to analyze the energy consumption based on a large number of machining experiments and it acquires the energy efficiency index depended on the empirical formula, more importantly, it doesn't realize the energy efficiency optimization after the energy efficiency evaluation. Therefore, firstly, based on the monitoring data of production management information system, an evaluation index of total factor energy efficiency for the manufacturing system is proposed. Secondly, the total factor energy efficiency is obtained by Data Envelopment Analysis method. Thirdly, the energy efficiency optimization method is used to construct the energy efficiency function, so that the quantitative methods of reducing energy consumption and improving energy efficiency are derived; Finally, the energy study on an assembly workshop of transmission box is taken as an example to verify the theoretical and application value of the evaluation and optimization method. References | Related Articles | Metrics

An Ergonomics Evaluation of Remote Monitoring Console Based on Jack LIU Lizhuo, ZHAO Yige, HAN Yuqi, HE Ming 2019, 22 (5):  25-31.  doi: 10.3969/j.issn.1007-7375.2019.05.004 Abstract ( 961 )   PDF (704KB) ( 5605 )   Save In order to improve the work comfort of the remote monitoring operator, the research object of this paper is the remote monitoring center console of DK company. The theoretical basis is ergonomics. Using the Jack software, the digital human model is established, and the remote monitoring console is simulated. The comfort and fatigue of digital people are tested to find out the problems, and the improvement methods are proposed. The results show that the digital comfort can be significantly improved by optimizing the structure and size of the seat and installing the foot pad for the digital person. References | Related Articles | Metrics

Research on Power Structure of Innovation Product of Supply Chain Considering Anticipated Regret ZHANG Nian, LI Shiyang, JIANG Lin, JIAN Jie 2019, 22 (5):  32-42.  doi: 10.3969/j.issn.1007-7375.2019.05.005 Abstract ( 1385 )   PDF (1190KB) ( 5675 )   Save To research the impact of consumers' anticipated regret on innovative products' upgrading strategy in the supply chain, theoretical models were established and solved in three market power structures, including manufacturer being leader (M), retailer being leader (R) and having no leader (N). And then, the impact of some parameters are analyzed, including consumer's anticipated regret, innovation quality, depreciation rate and state probability, on the equilibrium results and system profit. The result show that, 1) facing strategic consumers' anticipated regret, innovative product remain attractive to consumers and the no leader (N) mode is good for consumers, while the state probability is high, pricing skimming is well suited for innovative product; 2) facing the continuous generation of innovative product, enterprises should adopt the strategy of moderate innovation for long-term development. When the innovation quality reaches the threshold, pricing penetration is well suited for innovative product. Under faster technical obsolescence, pricing skimming is well suited for current product and pricing penetration is well suited for innovative product. References | Related Articles | Metrics

Buy-back Contract Supply Chain Innovation and Coordination Mechanism Based on Mean-CVaR SHANG Chunyan, GUAN Zhimin, Mi Liyang 2019, 22 (5):  43-49,67.  doi: 10.3969/j.issn.1007-7375.2019.05.006 Abstract ( 1463 )   PDF (1521KB) ( 5572 )   Save In order to study order quantity and coordination mechanism of buy-back contract supply chain under manufacturer innovation, the Stackelberg game model of buy-back contract supply chain is established. Then the issue of innovation coordination is discussed by the mean-CVaR decision criterion, and it shows that the mean-CVaR criterion can help to increase the order quantity more than CVaR, and the risk aversion level of retailer affect innovation and requirement of supply chain. The retailer's risk preference will increase the innovation investment intensity and the whole demand of supply chain channel. Improving the buy-back contracts through restricting the repurchase quantity in consideration of the potential risk of over-ordering by retailers, the results show that the improved buy-back contracts can reduce the order quantity, and under certain conditions the improved buy-back contracts can coordinate the supply chain. At last, how λ and β influence the retailer's quantity and manufacturer's innovation investment intensity is analyzed by numerical examples. References | Related Articles | Metrics

A Research on Multi-period Order Arrangement Model Considering Green Manufacturing and External Association CUI Pengzhan, GUAN Yeqing, HUANG Xueqin 2019, 22 (5):  50-58.  doi: 10.3969/j.issn.1007-7375.2019.05.007 Abstract ( 816 )   PDF (617KB) ( 5471 )   Save An optimization method model is presented based on green manufacturing and external cooperation to solve the problem of multi-cycle order arrangement in multi-variety small-batch enterprises. After considering the equipment operating costs, labor costs, inventory costs, outsourcing costs and other competitive indicators, and equipment energy consumption, noise and other green indicators, an multi-cycle order arrangement model is presented based on green manufacturing and external cooperation. Furthermore, a solution method based on genetic algorithm is also designed to solve above problem. Take a four-cycle order as an example in the end, the arrangement result of each stage order and the distribution plan of enterprise manufacturing resources are provided by solving algorithm, which not only verify the effectiveness of the model and algorithm, but also provide theoretical methods support for multi-cycle order arrangement in terms of search on green manufacturing and external cooperation. References | Related Articles | Metrics

Preemptive Scheduling of Design Tasks with Random Rework WANG Xiaogang, WANG Xiaoming, CHEN Qingxin, MAO Ning 2019, 22 (5):  59-67.  doi: 10.3969/j.issn.1007-7375.2019.05.008 Abstract ( 973 )   PDF (757KB) ( 5783 )   Save The characteristics of random rework and preemption make the design task scheduling problem become very difficult. To address this issue, a mathematical model is constructed based on Markov decision processes. An optimal solution that minimize the expected total weighted tardiness cost is obtained by the dynamic programming. To deal with the curse of dimensionality that faced by traditional dynamic programming, a method based on multi-rule combination is employed to reduce the amount of feasible actions in each state, which can efficiently obtain a suboptimal solution. Experimental results show that the traditional dynamic programming can only handle some very small-scale problem instances, while the proposed multi-rule combination method effectively balances the optimization effect and computational efficiency, which is more practical. References | Related Articles | Metrics

A Variable Neighborhood Search Algorithm for Solving Two-sided Assembly Line Balancing Problem with Sequence-dependent Setup Times YANG Wucheng, CHENG Wenming 2019, 22 (5):  68-74.  doi: 10.3969/j.issn.1007-7375.2019.05.009 Abstract ( 1127 )   PDF (738KB) ( 5803 )   Save To efficiently solve the two-sided assembly line balancing problem with sequence-dependent setup times, an effective and simple variable neighborhood search algorithm is proposed.To enhance the diversity of the variable neighborhood search algorithm and avoid generating too many replicated solutions, four precedence based neighborhood structures are designed, which include swap, insert, crossover and mutation operators. The search space of the four structures are getting larger successively to enhance the searching ability of the local search. What's more, a task permutation decoding and coding method are adopted based on the features of assembly lines. For decoding, a side which has larger capacity is preferred to be selected. Some new heuristic objectives were added to speed up the convergence of the algorithm. When all tasks have been assigned, an adjustment for final mated workstation is made. The proposed algorithm is firstly applied to solving the two-sided assembly line balancing type-1 problem without considering the setup times and then two-sided assembly line balancing type-1 problem with sequence-dependent setup times is solved. A comprehensive comparative study is conducted and the results demonstrated that the proposed variable neighborhood search showed superiority performance over the compared ones. References | Related Articles | Metrics

A Study on Decision-making of Low Carbon Supply Chain under Dual Constraint of Capital and Carbon Emission XU Tong, ZHANG Xiong 2019, 22 (5):  75-81,117.  doi: 10.3969/j.issn.1007-7375.2019.05.010 Abstract ( 1290 )   PDF (1043KB) ( 5649 )   Save Under the background of low carbon supply chain, a Stackelberg game pricing model with both capital and carbon emission constraints is established. Enterprise pricing and manufacturer financing decisions under three modes of non-capital constraint, prepayment and bank financing are explored, and the influence of relevant factors on optimal decision-making and profit analyzed. The research shows that when the bank interest rate is less than the prepayment discount factor, the manufacturer always chooses the prepayment financing. On the contrary, the manufacturer's financing mode choice will be affected by the carbon emission factor and the carbon price. The more consumers prefer green products, the smaller the financing scale of manufacturers will be, but the profit of manufacturers and retailers will be reduced. References | Related Articles | Metrics

A Multi-objective Robust Optimization Model for Site-selection of Construction Waste Facilities under Uncertainty XU Miao, YUAN Hongping 2019, 22 (5):  82-93.  doi: 10.3969/j.issn.1007-7375.2019.05.011 Abstract ( 874 )   PDF (817KB) ( 5839 )   Save How to minimize cost, GHG emission, and visual pollution under a set of external environmental uncertainties (such as the amount of waste generation, resource utilization rate, cost, etc.) is essential for the reasonable location and allocation of construction waste facilities (CWFs). Firstly, from economical, environmental and social perspectives, a traditional deterministic model is introduced to minimize cost, GHG emission and visual pollution when locating CWFs. Then, a robust counterpart is constructed based on the traditional deterministic model, and each of these uncertain parameters is assumed to vary in a specified closed bounded box. Finally, the existing CWFs in Beijing are chosen as the candidate points to determine the optimal location and allocation of CWFs in Beijing. The result shows that the total objective value grows up gradually with the increase of the uncertainty level of the parameters. Compared with the deterministic model, the solution obtained by the robust model is more stable and reliable, proving the effectiveness of the proposed model. References | Related Articles | Metrics

An Efficiency Analysis of Supply Chain Cooperation Based on Equity Concern under Stochastic Demand WANG Hongqi, PENG Jianping, FU Kaifang 2019, 22 (5):  94-101.  doi: 10.3969/j.issn.1007-7375.2019.05.012 Abstract ( 1241 )   PDF (777KB) ( 5593 )   Save Based on the concern of supply chain members about fairness, the efficiency of supply chain cooperation is taken as the research object and the fairness and neutrality of members as the basis. The efficiency of supply chain cooperation in three cases is discussed:only retailers have equity concern, only manufacturers have equity concern, and both manufacturers and retailers have equity concern. The maximum utility in three cases is found by Stackelberg game among two-level supply chain members, and then the cooperative efficiency of the three cases is calculated on the basis of fair and neutral utility. The research results show that when retailers or both parties have equity concerns, the cooperation efficiency will decrease in some interval, and the supply chain members can improve the cooperation efficiency through reasonable design of equity concern factors. When manufacturers only pay attention to fairness, cooperation efficiency increases with equity concern factor, and manufacturers can consider setting equity concern factor to improve cooperation efficiency within a reasonable range. References | Related Articles | Metrics

A Study of the Functional Area Layout Planning of Logistics Park Considering Railway Dividing Line WANG Jiuhe, HAN Xizhuo, SHI Guoqiang 2019, 22 (5):  102-108.  doi: 10.3969/j.issn.1007-7375.2019.05.013 Abstract ( 1276 )   PDF (573KB) ( 5820 )   Save An improved SLP method is used to quantitatively analyze various factors affecting the layout of a logistics park divided into 11 functional areas. And by analyzing the relationship between logistics and non-logistics between functional areas, and determining the closeness, a railway logistics park layout planning model is established. The model takes the minimum total transportation cost between the functional areas and the maximum comprehensive relationship as the objective function, and sets the constraints of minimum spacing constraint, boundary constraint, entrance and exit constraint, railway constraint and length and width constraint. The design of particle swarm algorithm and simulated annealing algorithm are combined. The SAPSO method is used to solve the model, and the model is studied by examples to verify the rationality and effectiveness of the method. References | Related Articles | Metrics

A Research on Disruptive Technology Innovation Potential Evaluation and Selection: Perspective of TRIZ XU Zehao, ZHANG Guangyu, HUANG Shuifang 2019, 22 (5):  109-117.  doi: 10.3969/j.issn.1007-7375.2019.05.014 Abstract ( 962 )   PDF (737KB) ( 5560 )   Save Through the analysis of the causes of disruptive technology, the potential of disruptive innovation in new technologies can be evaluated by analyzing its ability of solving the conflict of the original technology and the market as well as the conflict of technology development and market in different innovation trajectory. Based on formulating an evaluation system, the potential of disruptive innovation in new technologies is objectively and effectively evaluated through the expert scoring and the use of gray fuzzy comprehensive evaluation method, providing new ideas for the government to nurture and for enterprises to choose disruptive technology. References | Related Articles | Metrics

practice & application

A Study of Pattern Recognition of Statistical Control Chart Based on Random Forest WANG Haiyan, HOU Linna 2019, 22 (5):  118-125.  doi: 10.3969/j.issn.1007-7375.2019.05.015 Abstract ( 1073 )   PDF (518KB) ( 5803 )   Save The random forest method is introduced to study the pattern recognition of statistical control chart. The statistical features and shape features of the control graph were extracted, five different feature combination methods were designed, and Monte-carlo simulation method was used to generate training data set and test data set. Three commonly used pattern recognition methods (support vector machine method, artificial neural network method and decision tree method) were selected for comparison. Experimental results show that compared with the other three classifier methods, the random forest method has obvious advantages in classification accuracy and consumption time, and can be applied to the pattern recognition of statistical process control chart. References | Related Articles | Metrics

An R-Vine Copula Based Control Chart for Monitoring Multivariable and Mixed-type Data ZHANG Qiaowei, LI Yanting 2019, 22 (5):  126-132,149.  doi: 10.3969/j.issn.1007-7375.2019.05.016 Abstract ( 973 )   PDF (801KB) ( 5854 )   Save Multivariable mixed-type data monitoring is a key and difficult point in quality control and quality management. Mixed-type data includes three types:nominal, ordinal and numerical. Traditional multivariable control charts only consider numerical variables and have limitations in applications. At the same time, in real cases, there exists correlations between different variables, which is also a significant factor and easily ignored in traditional control charts. By introducing the Copula-Vine model, the rank of ordinal variables is full used, establishing a new mixed-type data control chart based on R-Vine Copula (R-Vine Copula control chart, RVC). The proposed RVC control chart is then applied to real data to demonstrate its flexibility and effectiveness higher than existing models. References | Related Articles | Metrics

Design of Incentive Contracts for Technological Innovation in Supply Chain under Carbon Trading CAI Dong, HU Qidan, GUO Chunxiang 2019, 22 (5):  133-140.  doi: 10.3969/j.issn.1007-7375.2019.05.017 Abstract ( 1229 )   PDF (857KB) ( 5568 )   Save Pressure from the government and the market has forces enterprises to carry out low-carbon technology innovation and achieve emission reduction targets. Therefore, under the circumstances of carbon trading and information asymmetry, the decision makers of low carbon technology innovation and the incentive contracts of the government are studied. The research shows that, when information is asymmetrical, the government can observe the manufacturer's low carbon technology innovation cost and the consumers' low carbon preference to realize the optimal incentive by the design of the incentive contracts. The incentive contracts effectively improves the motive force of the manufacturer's technological innovation, and derives the influence factors of the best decision of the manufacturer; the manufacturer and the government should try to improve consumers' low carbon preference through advertising and policy, so as to achieve the goal of reducing carbon emissions. References | Related Articles | Metrics

A Marketing Strategy Research of Supply Chain Considering Green Preference and Government Subsidies CAO Zhongqiu, ZHANG Ziyuan, FU Duanxiang 2019, 22 (5):  141-149.  doi: 10.3969/j.issn.1007-7375.2019.05.018 Abstract ( 1392 )   PDF (776KB) ( 5504 )   Save In order to study the impact of different levels of consumers' green preferences and government subsidies on the supply chain members' marketing strategies, a marketing strategy selection model consisting only one manufacturer and one retailer is built, the theoretical analysis and numerical simulation are carried out by using evolutionary game theory and Matlab software respectively. The results show that only when consumers' green preferences and government subsidies reach a certain level they can effectively promote both the manufacturer and the retailer to adopt green marketing strategies; when consumers' green preferences or government subsidies are at a lower level, the retailer tends to share the benefit brought by the manufacturer's green marketing by means of free-riding; as the input costs required for the manufacturer and the retailer to adopt green marketing strategies rise, the level of consumers' green preferences required for both sides to adopt green marketing strategies will also rise. As the level of consumers' green preferences in the market rises, the government subsidies required for both sides to adopt green marketing strategies will decline. References | Related Articles | Metrics