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30 December 2021, Volume 24 Issue 6 Previous Issue    Next Issue

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Modeling of Hierarchical Color Petri Net for Coal Mine Auxiliary Transportation Dispatching System CAO Chunling, LI Mengyu, ZHANG Naqi 2021, 24 (6):  1-7.  doi: 10.3969/j.issn.1007-7375.2021.06.001 Abstract ( 1250 )   HTML ( 35 )   PDF (877KB) ( 4793 )   Save In order to realize the safe dispatch of trolleybuses in coal mines, a new dispatch strategy is proposed, which uses the hierarchical color Petri net as a framework to model the dispatching system. By studying the running process of the model, the security, correctness and reusability of the scheduling strategy are proved. At the same time, the basic performance of the scheduling system is simply analyzed by using the state space report of the model. The results show that the scheduling system can analyze the vehicle transportation volume, frequency of section use and its time distribution, and the degree of matching between vehicle transportation speed and transportation task generation speed, and can effectively improve vehicle transportation safety, avoid transportation accidents, assist managers in planning transportation tasks and improve mine auxiliary transportation efficiency. References | Related Articles | Metrics

A Multi-objective Scheduling Method for Batch Production FJSP under Mixed Work Calendars ZENG Qiang, WU Jinjin, WANG Peilu, LI Mingjin 2021, 24 (6):  8-17.  doi: 10.3969/j.issn.1007-7375.2021.06.002 Abstract ( 1319 )   HTML ( 46 )   PDF (1122KB) ( 4897 )   Save A multi-objective scheduling method for batch production flexible job shop scheduling problem (FJSP) under mixed work calendars was proposed. Considering the constraints of mixed work calendars of equipment, a multi-objective scheduling model for batch production FJSP with the objectives to minimize production cycle and manufacturing cost were designed. An elitist non-dominated sorting genetic algorithm (NSGA II) was designed to solve the researched model. A two-segment encoding method based on processes and equipment was used to respectively encode the processes and equipment. A two-segment crossover and mutation operator based on processes and equipment was used to implement crossover and mutation operation, in which an improved strategy of genetic operators was applied to ensure feasibility of the progeny individuals. In decoding operation, the principle based on parallel and sequence shift mode, and the time reckoning technology based on each equipment's calendar were used to calculate the begin and end time of each adjustment and process. Finally, effectiveness of the proposed method was validated by case study. References | Related Articles | Metrics

Myopic Strategy for Dynamic Scheduling of Printed Circuit Board Drilling Tasks YAN Minjie, WANG Xiaoming, ZHU Songping, CHEN Qingxin, MAO Ning 2021, 24 (6):  18-24,56.  doi: 10.3969/j.issn.1007-7375.2021.06.003 Abstract ( 1048 )   HTML ( 31 )   PDF (1008KB) ( 4733 )   Save The scheduling of printed circuit board drilling tasks is difficult due to stochastic arrivals and process requirements. Considering the NP-hard property of the problem, myopic strategies based on priority rule and intelligent algorithm are proposed. In these strategies, an event-driven rescheduling mechanism is used to trigger the optimization algorithm on task arrival and task completion, which makes decisions on current unstarted tasks. In order to solve the optimization problem at each decision time point efficiently, a simulated annealing algorithm and a variable neighborhood search algorithm embedded with local dominance rules are constructed. The initial solutions of these algorithms are obtained by priority rules. Computational experiments are conducted to compare the proposed intelligent algorithms with classic priority rules under different scheduling environments. Experimental results show that the optimization effect of intelligent algorithms under most objectives is improved by more than 20% compared with the priority rules. The optimization effect of variable neighborhood search is slightly better than that of simulated annealing, but the latter is twice as efficient. References | Related Articles | Metrics

An Improved Grey Wolf Optimization for Solving Scheduling Problem of Flexible Job Shop with AGV XU Yifan, ZHANG Liping, TANG Qiuhua, HUANG Yuchen 2021, 24 (6):  25-33.  doi: 10.3969/j.issn.1007-7375.2021.06.004 Abstract ( 1108 )   HTML ( 31 )   PDF (871KB) ( 4993 )   Save With the continuous development of automation technology and workshop intelligent technology, the integration of material equipment planning and production scheduling is getting higher and higher. Aiming at the problem of flexible job shop scheduling with AGV (automated guided vehicle), with the goal of minimizing completion time, considering the effective load time and empty time of the AGV between the loading station, machine and unloading station, a mathematical programming model is con-structed. Secondly, an effective gray wolf algorithm is proposed to solve the problem. Based on the characteristics of the problem, a three-segment code for machine selection, process sequencing and AGV handling is designed to effectively ensure that each individual can produce a feasible solution. The setting methods of key parameters a and E are improved, which effectively balances the exploration ability and local search ability of the algorithm; in order to further improve the algorithm's ability to jump out of the local optimal solution, the algorithm incorporates domain search and other methods. Finally, the case test results show that the improved gray wolf algorithm has superior performance in solving the scheduling problem of flexible job shop with AGV. References | Related Articles | Metrics

A Study of the Optimization Method for Count-Type Functional Responses Based on the Infinity-Norm Distance WANG Xianpeng, HE Zhen 2021, 24 (6):  34-40.  doi: 10.3969/j.issn.1007-7375.2021.06.005 Abstract ( 917 )   HTML ( 25 )   PDF (566KB) ( 4835 )   Save Count-type functional responses widely exist in manufacturing processes. However, most existing researches are focused on the optimization of continuous functional responses. An optimization method is proposed for count-type functional responses by combining the infinity-norm distance index for the vectors of the fitted values with the desirability function method. The simulation results show that the proposed infinity-norm distance index for fitted value vectors reflects the true distance more accurately and less variably. This method is applied to the analysis of the bonding process for flexible printed circuits and glass substrates in a TFT-LCD module manufacturing company. The unqualified rate of products is effectively reduced. References | Related Articles | Metrics

Fault Diagnosis of Bearing Based on G-DPSO and Decision Tree ZHANG Yanliang, YAN Jianyong 2021, 24 (6):  41-47.  doi: 10.3969/j.issn.1007-7375.2021.06.006 Abstract ( 1125 )   HTML ( 27 )   PDF (1024KB) ( 4967 )   Save In view of the limitation of feature extraction in condition monitoring and fault diagnosis technology of mechanical equipment on the accuracy of diagnosis, as much useful information as possible can be extracted from the original fault signal data. It is proposed to diagnose and analyze the bearing fault by using the best feature data set, and extract the feature from the fault data in the amplitude and frequency domains, respectively. An improved particle swarm optimization (G-DPSO) algorithm is used to screen the extracted feature data sets, optimize the weight coefficients of the traditional particle swarm optimization algorithm, and combine it with the information entropy increase of decision tree model for fault diagnosis. It can extract the most suitable feature vectors for fault diagnosis. Five kinds of bearing fault data are used to test and analyze the proposed method. The diagnostic accuracy can reach above 97%, which proves that the proposed method is effective and reliable. References | Related Articles | Metrics

A Fault Feature Extraction Method Based on ITD-SVD and MOMEDA YANG Jingzong, YANG Tianqing, WU Limei 2021, 24 (6):  48-56.  doi: 10.3969/j.issn.1007-7375.2021.06.007 Abstract ( 1152 )   HTML ( 23 )   PDF (1421KB) ( 5029 )   Save In order to improve the accuracy of rolling bearing fault diagnosis, a fault feature extraction method based on the combination of intrinsic time scale decomposition (ITD), singular value decomposition (SVD) and multipoint optimal minimum entropy deconvolution adjusted (MOMEDA) is proposed. Firstly, ITD is used to decompose the fault vibration signal, and the component signal is filtered and reconstructed according to the combination of kurtosis and correlation coefficient weight index screening criteria. Then the SVD filter is used to reduce the noise. Finally, the periodic impact components in the noise reduced signal are extracted by MOMEDA, and the diagnosis results are obtained by Hilbert envelope analysis. Through the analysis of experimental data, the results show that the proposed method can not only filter out noise interference, enhancing fault feature information, but also extract fault features accurately. References | Related Articles | Metrics

An Agent-based Modeling Approach for Investigating the Diffusion of BIM Technology XU Xiaobei, YUAN Hongping 2021, 24 (6):  57-64.  doi: 10.3969/j.issn.1007-7375.2021.06.008 Abstract ( 936 )   HTML ( 27 )   PDF (900KB) ( 4613 )   Save An agent-based modeling method is implemented to explore the diffusion of BIM technology among construction companies based on mechanism of technology innovation. Based on the complex network and threshold model, the decision-making model of construction companies is established to analyze the impact of consumer preferences, social network structure and the maturity of BIM technology on the adoption behavior of construction companies. Then, an agent-based BIM technology diffusion simulation model is built, and Netlogo is used for simulation. According to the simulation results, the diffusion trend of BIM technology is predicted, the critical factors driving the diffusion of BIM technology are extracted, and suggestions to promote the diffusion of BIM technology are put forward. The results also show that: the social network structure plays an important role in the diffusion of BIM technology. The probability of reconnection can significantly increase the diffusion depth of BIM technology, but the impact on the diffusion speed presents complex and dynamic changes. Under the same network topology, the interaction between nodes has a certain degree of stability in driving the proliferation of BIM technology. The average degree can reduce the difference of network structures to a certain extent. An increase in the proportion of initial adopters can promote the "take-off" of innovation, shorten the innovation diffusion cycle, and accelerate the diffusion speed, but it has limited effect on the final stable diffusion depth. References | Related Articles | Metrics

An Optimization Research on Invalid Incentive Problem in Construction Project Incentive Model JI Gedi, YANG Kang 2021, 24 (6):  65-74.  doi: 10.3969/j.issn.1007-7375.2021.06.009 Abstract ( 943 )   HTML ( 17 )   PDF (1140KB) ( 4530 )   Save The analysis shows that previous discussions on reputation collaborative incentives often lead to the failure of incentives, with the following manifestations: A reputation incentive model that only considers one factor will lead to incentive imbalance, The cooperative incentive model without reputation is easy to make the incentive surplus. Therefore, the substitutability between construction period and quality factors are fully considered. From the perspective of the owner, a two-stage dynamic incentive model considering both explicit reputation and implicit reputation is constructed to solve the above problems. Furthermore, the method to determine the effective interval of the multi-factor collaborative incentive model with dual reputation is studied. Finally, the rationality of the model is verified by an example and data simulation. References | Related Articles | Metrics

Game Model and Analysis of Product Customization Authority of Supply Chain Enterprises under the Manufacturer's Leadership YI Huiyong, ZHANG Lu 2021, 24 (6):  75-82,92.  doi: 10.3969/j.issn.1007-7375.2021.06.010 Abstract ( 1143 )   HTML ( 40 )   PDF (840KB) ( 4811 )   Save In order to better explore the distribution of product customization rights between manufacturers and retailers, a game model for the distribution of product customization rights of supply chain enterprises under the leadership of manufacturers is proposed. By the model, based on the theory of Kano demand analysis, product customization module types are divided into three categories according to the consumer demand, and through the combination of the three types of customized modules present four product customization schemes, dominated by the manufacturers through the use of Stackelberg game model. A model of product customization between manufacturers and retailers permissions distribution is built, analyzing the two cases of custom permissions homogeneity and differentiation of manufacturers and retailers decision. Using example application and solving the model, the optimal solution is derived from the custom permissions distribution of the manufacturer-led manufacturers and retailers. The results show that only when the product customization range of the manufacturer and the retailer is completely differentiated can the manufacturer and the retailer achieve the equilibrium solution of the product customization authority and maximize the profit of the supply chain. References | Related Articles | Metrics

The Decision and Coordination of Manufacturing-Retail Supply Chain with Manufacturer Equipment Maintenance CHEN Zhaobo, LI Xiaoqing, TIAN Chunying 2021, 24 (6):  83-92.  doi: 10.3969/j.issn.1007-7375.2021.06.011 Abstract ( 1326 )   HTML ( 38 )   PDF (1003KB) ( 4962 )   Save Equipment reliability is an significant factor affecting supply uncertainty. In order to study the influence of the maintenance strategy within the enterprise on the operation strategy of the entire supply chain, considering the equipment maintenance, the manufacturer's optimal maintenance strategy and production strategy and the retailer's optimal order quantity are studied for the supply chain with a manufacturer and a retailer by Stackelberg game. The results show that the manufacturer's maximum number of preventive maintenance has no relevance to the reliability of the equipment; preventive maintenance can increase the manufacturer's output and reduce the wholesale price of the product, but the optimal output of the manufacturer will not reach the enterprise maximum production capacity; revenue-sharing contract can realize the coordination of supply chain; the manufacturer always has incentive to improve the equipment reliability while the retailer has incentive to fund the equipment improvements only when the market base is large enough. References | Related Articles | Metrics

A Supply Chain Robust Optimization Model under Price- and Time-sensitive Demand SUN Yimeng, QIU Ruozhen, GAO Yanan 2021, 24 (6):  93-101.  doi: 10.3969/j.issn.1007-7375.2021.06.012 Abstract ( 1280 )   HTML ( 23 )   PDF (629KB) ( 5455 )   Save A two-pricing two-ordering policy with time and price sensitive demand is studied under demand uncertainty. The piecewise linear function is used to describe the price- and time-sensitive demand and the interval uncertainty set is constructed to describe demand uncertainty. Two Stackelberg game models are formulated according to whether the manufacturer gives a rebate to the retailer. Robust counterparts for the game models are developed and transformed into tractable programs. Numerical studies show that the uncertainty and price sensitivity of demand have influences on pricing, ordering and profit. The manufacturer and the retailer gain more from the game model with rebate, and the profits of both parties are decreasing in the uncertainty level and the price sensitivity coefficient of demand increase. References | Related Articles | Metrics

A Research on Outsourcing Mode of Business with Sales Promotion in a Supply Chain WANG Lei, SHENG Ying 2021, 24 (6):  102-107,115.  doi: 10.3969/j.issn.1007-7375.2021.06.013 Abstract ( 1162 )   HTML ( 20 )   PDF (1046KB) ( 4829 )   Save The influence of the characteristics of outsourcing business on the decision-making of supply chain outsourcing mode is analyzed. Based on game theory, the outsourcing mode decision by whether the outsourcing business has a sales promotion role is studied, with several meaningful findings. When the outsourcing business does not have a sales promotion function, the manufacturer and the retailer have a common preference for the business outsourcing model in most cases. Even if the agreement is not met, both sides will hand over control, rather than compete against each other. When the outsourcing business has a sales promotion role, the two parties show opposite preferences for the business outsourcing mode in many cases, and there will be situations in which both sides no longer hand over control, but compete with each other. The difference in business costs between the business outsourcing partners of producers and retailers has an important influence on the preferences of the business outsourcing model. References | Related Articles | Metrics

practice & application

A Multi-objective Time-of-use Pricing Optimization Strategy for the Grid with Distributed Photovoltaic Power Generation YANG Kun, FU Yuehong, JIANG Zhibin 2021, 24 (6):  108-115.  doi: 10.3969/j.issn.1007-7375.2021.06.014 Abstract ( 1259 )   HTML ( 29 )   PDF (919KB) ( 4937 )   Save In previous researches, most electricity pricing strategies were time-of-use price, and the traditional non-dominated sorted genetic algorithm-II is mostly used to solve the multi-objective problem. To solve the problem of the fluctuation of distributed photovoltaic grid connection, a multi-objective time-of-use pricing optimization strategy is proposed for the grid with distributed photovoltaic power generation. Firstly, the response model of electricity consumption and electricity price is established, and the time period is divided based on the equivalent load. The multi-objective nonlinear distributed photovoltaic time-of-use pricing model is established with the objective of minimum load variance, minimum peak-valley difference of equivalent load, and maximum user satisfaction index. A multi-objective genetic algorithm combined with a neighborhood search algorithm is proposed to solve the complex problem and obtain the optimal pricing strategy. As shown in the numerical experiment, the pricing strategy proposed improves the power supply stability by 37.77%, and improves the utilization rate of distributed photovoltaic power generation by 4.51%, with user satisfaction improved to 74.3%. In addition, the proposed algorithm outperforms the widely used non-dominated sorted genetic algorithm-II. These results show that the proposed pricing strategy is effective. References | Related Articles | Metrics

A Stackelberg Game-theoretic Approach to Real-time Pricing under Load Forecasting Update WU Zhiqiang, GAO Yan, WANG Bo, LI Lei 2021, 24 (6):  116-122.  doi: 10.3969/j.issn.1007-7375.2021.06.015 Abstract ( 1399 )   HTML ( 26 )   PDF (749KB) ( 4808 )   Save In the smart grid environment, load prediction is introduced based on the real-time price Stackelberg game model. In order to match the real-time load and the predicted load, the master-slave game model between the seller and the user is designed. By establishing the real-time pricing mechanism under load forecast update, the optimal real-time power price and optimal power consumption behavior of both sides are obtained. By integrating the load time series under the equalization state of the day-ahead real-time electricity price mechanism into the power supplier power price weight time series vector, the further optimized load-balancing time series under the day-ahead real-time electricity price mechanism is obtained, finally forming a closed-loop that is constantly advancing and optimizing. At the same time, the matching degree evaluation index and judgment criterion of real-time load and predictive load sequence are presented. Through numerical simulation analysis and comparison with the unoptimized real-time pricing mechanism, it is found that the proposed real-time pricing mechanism based on load prediction and update can significantly reduce the power consumption cost of power users while improving the operation efficiency of the power grid. References | Related Articles | Metrics

A Research on Supply Chain Vulnerability under Different Dominance Based on the Manufacturer's Production Cost Disturbance ZHANG Mengmeng, YAN Xiuxia, DONG Youheng 2021, 24 (6):  123-131,149.  doi: 10.3969/j.issn.1007-7375.2021.06.016 Abstract ( 1315 )   HTML ( 22 )   PDF (885KB) ( 4832 )   Save For a quantitative research on the vulnerability of supply chain under the disturbance of production cost and different power structures, two supply chain game models of centralized decision-making, manufacturer-led and retailer-led online and offline dual-channel supply chain and direct channel supply chain were constructed. The length of the manufacturer’s production cost disturbance interval which keeps the optimal decision of supply chain unchanged was used to measure the vulnerability of supply chain and the larger the interval length was, the smaller the vulnerability of supply chain was. The results show that: 1) for online and offline dual-channel supply chain, the length of the cost disturbance interval is equal to that of the centralized decision-making and is manufacturer-dominated, that is, they have the same vulnerability but it is greater than the retailer-dominated vulnerability; 2) for the direct supply chain, the length of the manufacturer-dominated cost disturbance interval is greater than the centralized decision, that is, the manufacturer-dominated supply chain vulnerability is less than in the centralized decision, while the size of retailer-dominated supply chain vulnerability is related to the parameters β and k. Finally, the feasibility of the proposed method is verified by numerical simulations. References | Related Articles | Metrics

A Simulation Analysis of Low-carbon Diffusion Stability in Heterogeneous Agents Based on Stochastic Evolutionary Game DONG Lili, FAN Ruguo 2021, 24 (6):  132-139.  doi: 10.3969/j.issn.1007-7375.2021.06.017 Abstract ( 1253 )   HTML ( 26 )   PDF (812KB) ( 4873 )   Save In order to analyze the influence of uncertain factors on low-carbon diffusion in heterogeneous agents, a stochastic evolutionary game model was constructed considering enterprises and consumers, the stability of this model analyzed, and the corresponding three stability scenarios presented. Moreover, the scenarios were simulated and verified through an example of new energy vehicle BYD E6. The research results show that when the proportions of enterprises with low-carbon strategy and consumers with low-carbon consumption are small, the success of low-carbon diffusion cannot be realized no matter what the noise intensity is, and with the above two proportions increasing, low-carbon strategy and low-carbon consumption can diffuse successfully in enterprises and consumers respectively, and low-carbon diffusion can arrive at effective stability successfully under different noise intensities, after experiencing a chaotic state. References | Related Articles | Metrics

A Research on Remanufacturing Authorization Model of Closed Loop Supply Chain Based on Consumer Heterogeneous Demand CHENG Hongya, MENG Lijun, HU Yuqing, HUANG Zuqing 2021, 24 (6):  140-149.  doi: 10.3969/j.issn.1007-7375.2021.06.018 Abstract ( 1288 )   HTML ( 35 )   PDF (1258KB) ( 4980 )   Save In order to explore the best remanufacturing authorization model in the market with heterogeneous consumer demand, based on the closed-loop supply chain (CLSC) in which the original equipment manufacturer (OEM) and the third party remanufacturer (TPR) remanufacture simultaneously, the CLSC decision-making model of TPR independent remanufacturing and OEM patent authorization remanufacturing (including unit fee authorization and fixed fee authorization) are separately discussed using game theory, the equilibrium solution and optimal profit of the three models compared, and the effects of market acceptance of TPR remanufacturing and remanufacturing cost saving on equilibrium solution and enterprise profit analyzed. The results show that: authorization increases OEM profits, so OEM prefers to authorize TPR and decide the authorization mode according to the size of fixed license fee; the total profit of CLSC is the largest under the fixed fee authorization mode, and the purchase cost of consumers is the lowest under this mode; the increase of TPR remanufacturing market acceptance and remanufacturing cost saving can improve TPR profit, but it will increase the run on OEM remanufactures, and eventually lead to the increase of OEM licensing fee to make up for the loss of profits. References | Related Articles | Metrics

A Research on Decision-makings and Coordination of Fresh-product Supply Chain in “Pre-Position Warehouse Mode” under Fairness Concern ZHANG Nana, LU Lijuan, JIAN Zhaoquan 2021, 24 (6):  150-157.  doi: 10.3969/j.issn.1007-7375.2021.06.019 Abstract ( 1154 )   HTML ( 27 )   PDF (2004KB) ( 4737 )   Save In view of the low level of fresh-keeping efforts and “last kilometer service” efforts of the two-echelon supply chain consisting of a fresh product supplier and an online fresh product retailer in "pre-position warehouse mode", the reasons were explored from the perspective of fairness concern. By using the game theory method and establishing the Nash bargaining model, optimal decision-makings as well as the earnings and utility of the supply chain were analyzed and compared under different fairness concern conditions. The result indicates that the supplier's fairness concern can lower the online retailer's fresh-keeping efforts and the “last kilometer service” efforts. Moreover, fairness concerns of supply chain members are generally accompanied by an increase of their earnings ratio and the loss of the total supply chain utility. Finally, the efforts level of fresh-keeping and “last kilometer service” can both be improved, and the total utility of the supply chain can be optimized by the hybrid contract which emphasizes earnings and cost sharing. The result was verified by a numerical analysis. References | Related Articles | Metrics