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31 December 2015, Volume 18 Issue 6 Previous Issue    Next Issue

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A Research on Modeling of the Handling Operation Line for General Cargo with the Carriage as Operation Unit Liu Zhixiong1, He Jingjing1, Zhang Yu2 2015, 18 (6):  1-7.  Abstract ( 798 )   Save The efficiency of the handling operation line for general cargo is the basis of mechanical allocation, and the decisionmaking reference can be provided by the reasonable handling operation model. As to drop and pull transport mode of the carriage, general cargo handling characteristics are analyzed and a production site investigation is conducted. Considering the operation time and yard shift time of handling machines, a modeling method handling operation line with the carriage as operation unit is proposed, and an example is tested based on actual operation data. It is illustrated by the computational results that the relative errors between the model values and the actual values are less than 12%, and the absolute errors are no more than 20 tons per hour. The model is proved to be effective and provide the decision support for actual operation.   References | Related Articles | Metrics

Multi-level Assembly Plan Optimization of Airplane Based on a Hybrid Algorithm and its Application Gui Da1, Zhu Haiping1, Liao Jiawei1, Yang Fuming1, Yu Zhiqiang2 2015, 18 (6):  8-18.  Abstract ( 803 )   Save By analyzing the characteristic of the multilevel task network during the assembly process of airplane manufacturing, a resourceconstrained multilevel assembly plan optimization model is set up. The model not only satisfies multilevel time constraints and multilevel resource constraints, but also takes into account the transfer station for the duration of the impact. It is then solved by a proposed hybrid algorithm combining discrete particle swarm optimization and tabu search, and the concept of multilevel task particles is proposed in the algorithm. An application case of the fuselage assembly project is finally studied. The results illustrate the effectiveness of this optimization model and resolution algorithm. References | Related Articles | Metrics

A Value streambased Study of Lean Improvement of S Production Line Ge Anhua, Zou Yinping 2015, 18 (6):  19-25.  Abstract ( 940 )   Save Taking M company’s S brand dishwasher liner production line as the research object, the value stream map of the production line is drawn and the bottlenecks limiting the company‘s capacity found. Combined with the theory of lean production, the production line is redesigned and balanced, which can eliminate the bottlenecks and improve efficiency. It is proven that value stream mapping technology has good practical value on the improvement of the dishwasher liner production line. References | Related Articles | Metrics

Optimization of Manual Picking at Medicine Logistics Center Zhang Zhiqing1,2, Fan Yan1, Cheng Qingzhang1 2015, 18 (6):  26-31.  Abstract ( 848 )   Save  As high costs and low profits have become a major bottleneck of the development of Chinas medicine logistics industry, research on the methods of manually picking cost for medical logistics center is beneficial to corporate profitability. A basic model is presented based on analysis of influencing factors for picking process of logistics centers. The relationship between roadway number and number of zones is studied using MATLAB simulation. The result shows that: (1) having partitions is better than having no partitions, and that under normal circumstances, having two partitions is the best; (2) with more than two partitions, picking time will gradually increase; (3) in the case of fixed number of roadways and selection entries, more partitions will be better; (4) when there are more than 96 selection entries, having three partitions is the best choice. References | Related Articles | Metrics

An Analysis of the Musculoskeletal Disorders of the Workers in Coal Preparation Plant Based on OWAS Method Sun Yu1,3, Sun Linhui2,3, Yuan Xiaofang2,3, Sun Long1, Jiang Rui2, Ren Fang2 2015, 18 (6):  32-36.  Abstract ( 893 )   Save The effects of dangerous postures on workers musculoskeletal injuries in coal preparation plants during dirt extraction are discussed. By questionnaire survey and Ovako working posture analysis system (OWAS), the proportion of workers repeated harmful postures and physical damages are assessed and analyzed. The result shows that proportion and degree of harmful postures on workers back and neck are much higher, which is consistent with the result of fatigue selfconscious symptom survey and OWAS system analysis. Taking proper work shifts and increasing seats and protective devices may lower degree of workers musculoskeletal injury, improve performance in the workplace and reduce the occupational injuries and accidents. References | Related Articles | Metrics

Compensatory Behavior of Mobile Phone Use while Driving Wang Xinyi1, Zhou Ronggang1, Ba Yutao2, Zhang Wei2 2015, 18 (6):  37-43.  Abstract ( 813 )   Save  Using mobile phone while driving would lead distraction, and drivers may use compensatory behavior to recover the damage caused by the distraction. This report is a drivingsimulationbased study, using repeated measures analysis of variance to explore the difference of driving behavior and psychological signal in using mobile phone or not, different road complexity and different types of drivers. Experimental results suggested that 1) the main effect of using mobile phone on each indicator was significant (P<0.001), 2) the main effect of types of drivers on braking duration while reading messages was significant (P<0.01), 3) the interaction between using mobile phone and types of drivers had influence on heart rate while answering phone calls, average speed, braking duration and heart rate while reading messages (P<0.05), 4) there were no other significant interactive effect (P>0.05). Further analysis indicated that compared to answering handfree phone, participants engaged in compensatory behavior more while reading messages (P<0.05). In addition, drivers engaged more  rather than students drivers (P<0.05). References | Related Articles | Metrics

Impatient Behavior Research Based on the Service System of Banks Huang Haiyang, Ye Chunming 2015, 18 (6):  44-48.  Abstract ( 783 )   Save Aiming at the existing customer queuing behavior decision model not considering the intervention of service agencies into customers impatient behavior, from the view of service agencies providing additional services to increase customer revenue, a new decision model is put forward. The M/M/1 queue system service ability complement strategy under the model is studied, constructing evaluation function based on the reception desk utilization, calculating the optimal strategy of opening backup service desk. The simulation results show that with open backup service, customers stop probability is reduced and the queuing number stays at a low and stable level. References | Related Articles | Metrics

A Research on the Operation Mode of Apparel E-logistics Based on the Application of RFID and QR Code Huang Ming-tian1,2, Chu Xue-jian1 2015, 18 (6):  49-54.  Abstract ( 838 )   Save Apparel is the necessity of life. It has played a significant role in the growth of the national economy. However, there are some issues in apparel supply chain, namely high current inventory, low logistics efficiency, difficulty in identifying items and achieving quality traceability, and so on. In order to solve these problems, two value-added service patterns, namely, box code (RFID) with item code (QR code) and box code (QR code) with item code (QR code), are built based on the application of RFID and QR code. The results show that applying RFID and QR code technology to the logistic of clothing industry e-commerce will better improve efficiency of clothing supply chain logistics and decrease current inventory. Moreover, it makes it easier to identify items and achieve quality traceability. References | Related Articles | Metrics

#br# A Bionic Design Framework of the Demand-driven Supply Chain Logistics Li Bo, Hu Da-wei 2015, 18 (6):  55-60.  Abstract ( 740 )   Save To improve the operation efficiency of the supply chain, the theory and method of bionics are employed and the process of gene regulation is simulated to optimize the logistics design of demand-driven supply chain. The mechanism of gene regulation is analyzed and the “Function-Behavior-Structure” (FBS) models are established. Further, similar characteristics between the demand-driven supply chain logistics and the process of gene regulation are identified. On this basis, the bionic design framework is presented including four main parts, i.e., demand-driven response mechanism of the supply chain logistics, facility location and information transfer process as well as the logistics path. The study shows that the bionic design can optimize the operation process of the supply chain logistics on the whole and enhance the operation efficiency. References | Related Articles | Metrics

Buy-back Contract in Garment Industry Considering #br# Out-of-season Clothes Processing Channels Jian Ming, Zong Han，Li Yuan-yuan 2015, 18 (6):  61-68.  Abstract ( 798 )   Save Considering the influence of sales price change and out-of-season clothes processing channels on the apparel supply chain, game theory is applied to present a two-echelon sales supply chain system with single ordering in an apparel supply chain on basis of the buy-back contract. A system analysis is taken for a better understanding about how the buy-back contract would have impact on the supply chain coordination in different time. The results suggest that the midterm buy-back or the final buy-back cannot achieve the optimization of supply chain system. But by setting reasonable wholesale prices and the buy-back prices in mid-term and final-term, the supply channel coordination can be achieved. The combination of reasonable prices and the dispose-down-to policy can bring an effective improvement on the expected channel profit in the centralized setting when dealing with out-of-season clothes. These results are also supported by a numerical example analysis. References | Related Articles | Metrics

A Study of the Influence of Heterogeneous Behavior Preference in Decision-making and Supply Chain Coordination Yang Xing-lin1, Qiu Min-cai1, Yao Xun2 2015, 18 (6):  69-74.  Abstract ( 789 )   Save With the retailer‘s heterogeneous behavior preference, the production decision and coordination are studied. The utility function considering loss aversion and fairness is developed by using new decision-making reference point, and effect of the retailer’s loss aversion and fairness concerns about the optimal decision and supply chain coordination is studied. 〖JP2〗Theoretical analysis and numerical examples show that while wholesale prices meet different conditions, the retailer‘s loss aversion and fairness concerns show different effect on the optimal order. In the decentralized case, the supply chain cannot achieve system optimality, but both sides of the supply chain can achieve Pareto optimality by introducing the insurance contract. References | Related Articles | Metrics

Managing Production and Procurement by Option Contracts in a Supply Chain with Stochastic Yield and Random Instant Price Li Ji-cai1,2, Li Chang-wen3,Guo Jin-sen3 2015, 18 (6):  75-82.  Abstract ( 745 )   Save The decision-making problems of production and procurement with bi-directional option contracts in a decentralized supply chain consisting of one manufacturer and one retailer are studied. The retailer outsources products from the manufacturer and resells them to the end market with uncertain demand, and the manufacturers production yield is stochastic. The retailer can order products through bi-directional option contracts from the manufacturer, or implement instant order after the demand is realized, which is subject to random pricing. The manufacturers optimal production plan and the retailers optimal ordering strategy are studied; and the effects of changes in the price parameters of bidirectional option contracts, demand uncertainty, production yield volatility and instant price variability on the optimal operational strategies and performance of both participants are also analyzed. References | Related Articles | Metrics

A Risk Evaluation of Grid System under a Sudden Terrorist Attack Ding Xue-feng 2015, 18 (6):  83-88.  Abstract ( 789 )   Save Grid system is regarded as the main source of urban life and production energy supply, once under a terrorist attack, it can lead to a series of chain reactions, and cause unexpected loss of life and property. Thus, it has become a desirable goal of the attackers. In order to avoid or reduce the grid system loss caused by an unexpected terrorist attack which is out of control, considering the limited defense resources, game theory is applied to the risk evaluation of the terrorist attack. First, based on degree and clustering coefficient method, the importance of each facility node in the grid is measured, and then, according to each facility node risk level, combined with the idea of zero sum game, loss probability and the allocation of defense resources of each node are established. A numerical example is introduced to validate the proposed method. It is theoretically confirmed that with the increase of the defense resources, more facility nodes can be allocated for defense resources, and defense resources allocated to each node increase correspondingly.   References | Related Articles | Metrics

A Project Duration Risk Analysis and Evaluation Under Multiple Influencing Factors Based on PERT Wu Fei-fei1, Wang Xue-hai2, Cheng Tie-xin1 2015, 18 (6):  89-92.  Abstract ( 774 )   Save In order to effectively control the construction project duration, an evaluation method under multiple influencing factors based on PERT is proposed. The risk factors affecting the project duration are analyzed and some different assumptions about the distribution of the delay time caused by each risk factor made to determine the impact on each activity. Then, each path duration distribution of the project is determined through Monte Carlo simulation, by which the independent and combined effectiveness of the risk factors is obtained, and the duration risk is analyzed and controlled from different perspectives. References | Related Articles | Metrics

A DEA Cross-efficiency Evaluation Based on TOPSIS Tang Liang1,2，Zhao Xi-nan2 2015, 18 (6):  93-96.  Abstract ( 807 )   Save Aiming at the defect that the previous research cannot use all information, an evaluation method of DEA cross-efficiency based on TOPSIS is proposed. Firstly, the cross-efficiencies of decision making units are calculated. Secondly, using all the information, the objective weight coefficients of cross-efficiency are computed. Finally, the aggregated cross-efficiencies are sorted. The results show that the proposed method is relatively objective and fair, and it can solve the problem of cross-efficiency evaluation of decision making units. References | Related Articles | Metrics

An Analysis of the Game in the Investment Decision-making Hearing of the Large Public Buildings Pang Yong-shi, Shi Qing-wei, Li Shui-yuan, Liu Jing-kuang 2015, 18 (6):  97-104.  Abstract ( 808 )   Save The investment decision-making hearing of the large public buildings is a complicated and systematic problem in project management decision. It is a very effective and feasible way for the local government, experts and public representations to participate in the investment decision-making by organizing the hearing. Based on studying the principle of bargaining game theory, it will be more suitable to apply this theory in the investment decision-making hearing of the large public buildings. Then, by building a tripartite bargaining game model of non-collusion in the hearing, the benefits and strategies of all parties will be analysed. Finally, the equilibrium of the model will be solved, and corresponding suggestions will be given by standing on the different parties. References | Related Articles | Metrics

A Study of the Factors Influencing Energy Consumption of Shaanxi Residential Buildings Zhang Su-xian，Wang Zhen 2015, 18 (6):  105-109.  Abstract ( 770 )   Save Based on the data of civil building energy consumption in Shaanxi Province in recent years, a hypothesis model with the civil building energy consumption influence factors is constructed, and the influencing factors analyzed by the multiple linear regression method. The result shows that the total population, urban and rural population structure, economic development, the consumption level of residents and the third industry development will promote the civil building energy consumption in Shanxi Province, while the technological progress is not obvious to reduce the energy consumption of civil buildings in Shaanxi. On this basis, energy saving proposals are put forward, aiming at providing reference for the related departments of Shaanxi Province to find the key points in building energy conservation and to carry out emissions reduction work better. References | Related Articles | Metrics

A Research on Multi-objective Dynamic Location for Coal Logistics Park Liu Su-fen,Ma Bin 2015, 18 (6):  110-115.  Abstract ( 774 )   Save In order to effectively integrate the logistics resources and realize the goal of reducing the total cost and the negative utility of the logistics park in different periods, a dynamic location model of multi-cycle coal logistics parks is built, based on the minimum cost of coal logistics network and the minimum of negative utility. The global optimal solution is obtained by using Lingo 11.0 to solve multiple iterations. Based on the actual sales and transportation data of Shanxi coal group in 2014, 6 candidate logistics parks and 18 customers are selected. Aiming at 4 different periods, the location and distribution of the logistics parks make the cost savings by 35%, and the scientific nature of the model is verified. References | Related Articles | Metrics

Multi-objective Optimization Modeling for Resource Constrained Project Scheduling Problem Niu Jian-wei1, Qin Jie1, Ding Wen-ying1, Wen Wei1, Yu Yang1, Wang Dao-ping2 2015, 18 (6):  116-124.  Abstract ( 787 )   Save Recent studies on project scheduling problem are usually considered as lacking resource constraint issue or just concentrat on makespan or resource utilization optimization. Considering the disadvantages of traditional modeling methods, such as lacking flexibility or owning solely a single optimization objective, a novel approach is presented to optimize the problem of resource-constrained multi-objective optimization in project scheduling. The objective is to minimize the makespan and cost, maximize the net present value and level the resource fluctuation as well. An initial project schedule is originally constructed based on topology sorting algorithm, which satisfies the time sequence constraint. As for those activities in conflict with each other in resource utilization, priority rule is adopted to solve the conflicts. A case study withdrawn from Patterson benchmark database is conducted to illustrate the effectiveness of this method. Particle swarm optimization algorithm is adopted to realize the optimization. During the calculation, random weight is used to make sure the randomization of particle swarm evolution, which prevents the algorithm from trapping into local optimization. Results show that, compared with the original solution, 20% makespan reduction, 11.17% cost reduction, 11.82% increase of the net present value, and 18.29% reduction of resource fluctuation are obtained based on the proposed approach. This research shows the ability of the proposed method in optimization of project scheduling considering makespan, cost, net present value and resource fluctuation as well. References | Related Articles | Metrics

Resource Leveling Based on Ant Colony Algorithm and MATLAB Optimization Decision He Li-juan, Li Xin 2015, 18 (6):  125-129.  Abstract ( 893 )   Save The resource leveling problem has been shown to belong to NP-hard problem in combinatorial optimization. As the network becomes complex, it is difficult to solve the problem with traditional mathematical programming and the heuristic algorithms. The sum of standard deviation of resources is used as the measure of resource leveling, and a mathematical model of resource leveling optimization decisions is built. Secondly, using Matlab, design steps of ant colony algorithm are realized, and using ant colony algorithm, the scope of the non-critical process start work time determined, the ants randomly distributed in the feasible region. Then the ants will conduct global search and local search according to the transition probability, to solve the global optimization of resource leveling. Finally, a single resource leveling and multi-resource leveling are taken for examples, to verify the effectiveness of ant colony algorithm. The convergence speed of the algorithm is fast, and it overcomes the defects of traditional algorithm of easily falling into local optimum, and it is suitable for solving the problems of all resources leveling, with good generality. But the optimization model of this paper assumes that any activity must be in continuous construction, and in between all kinds of resources are independent of each other. It is often not consistent with actual situation, and future research can be further optimized, and the ant colony algorithm can be combined with other algorithms to solve the problem. References | Related Articles | Metrics

Cost Resources Optimization Configuration Based on Data-Process Model Wang Ya-jun, Shi Jun-li, Fan Shuang-jiao 2015, 18 (6):  130-137.  Abstract ( 765 )   Save For optimizing cost resources of manufacturing enterprise, optimization configuration methods are studied based on the theory of process management. Through setting up dynamic mapping relationship between production process data and production activities at the scene, the interaction is described and theory structure and data structure are set up based on data-process model for the collection of cost resource information. Cost management data is extracted from complex process data and history data. Combining Data Envelopment Analysis (DEA) and cooperative game theory, the allocation problems of cost resources in production process are studied. Three nucleolus-based cost allocation models, as well as their algorithms——Genetic Algorithm, are proposed. The proposed models and methods are validated in practice. References | Related Articles | Metrics

The Relationship Between Cost Structure and Market Structure in Remanufacturing System Li Bang-yi, Gu Rui, Li Ning, Liu Zhi 2015, 18 (6):  138-144.  Abstract ( 771 )   Save Both the ability of consumers to independently make buying decision and the cost structure determine the producing decision, and thus establish the market structure in remanufacturing system. This paper a game supply chain model, consisting of one original manufacturer and one third-party, is established to analyze how the cost structure influences producing decision, license fee, and market structure. The results indicate that the high cost of new product will compel OEM (orignal equiqment manufactuce) to give up production operation in the second stage; that simultaneous lower cost is the unique condition for hybrid market of new product and remanufactured product; that license fee is a rapier, controlling the consumer distribution between new product and remanufactured product. References | Related Articles | Metrics