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31 October 2014, Volume 17 Issue 5 Previous Issue    Next Issue

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practice & application

An Optimization Method for Scheduling a ZeroBuffer and  Interruptible Flow Line Niu Zhan-wen, Xu Zhao-guang 2014, 17 (5):  1-09.  Abstract ( 1383 )   Save  A zerobuffer and interruptible flow line scheduling model is built to respond to the tardiness, idleness and low efficiency of the panel block flow line scheduling problem. Taking the shortest makespan and minimum punishment of delivery extension as the objective and considering the sequence, line selection, a nonlinear integer programming for this scheduling problem is proposed. On this basis, experiment results with the actual data of a shipyard demonstrate the effectiveness of the model. Comparing the scheduling results of the optimized model with the other four scheduling rules (SPT, EDD, WSPT, FCFS), it is found that the makespan is shortest and the punishment of delivery extension minimum. References | Related Articles | Metrics

Dynamic Planning of the Biomass Power Plant Warehouse Scale Zhang Qin1,2, Chang Chun-yang1,2 2014, 17 (5):  10-16.  Abstract ( 1510 )   Save The warehouse and collection station scale and inventory level are essential to reduce fix cost and operational costs for the biomass direct combustion power plant. In order to settle the problems, a dynamic programming model is established by joining the warehouse scale, station scale, and their inventory control. In the case of the 30MW biomass power plant, according to the model and sensitivity analysis of the relative parameters, some conclusions are reached, such as：using multibiomass fuel, the warehouse scale and collection station scale are respectively 35 887 and 24 147m2；when safety inventory levels of them both are respectively under 6 000 ton and 17 000 ton, the total cost will reduce, or else it will increase. Similar results emerge when using single biomass. References | Related Articles | Metrics

A Study of Archipelago Berth Allocation Based on Hybrid Particle  Swarm Optimization Algorithm Peng Jian-liang， Li Ren-jian， Li Xiu-lin， Ju Chun-hua 2014, 17 (5):  17-22.  Abstract ( 1282 )   Save Berth allocation is the key to improving the efficiency of port operation. Aiming at the archipelago berth allocation, a model is established with minimum waiting time of ships as objective, and a hybrid particle swarm optimization (HPSO) algorithm proposed. In HPSO, simulated annealing (GA) and artificial immunity (AI) are applied to update the state of particles, thus improving the global optimization of HPSO. Numerical experiment results show that, the HPSO is an effective and feasible algorithm for solving the archipelago berth allocation problem. References | Related Articles | Metrics

Analysis and Improvement of the Overall Equipment Effectiveness of AI Xu Wei 2014, 17 (5):  23-28.  Abstract ( 1345 )   Save OEE is a comprehensive index, which evaluates equipment running time, speed, quality and cost of repair, which is the measure of value added in production created by the equipment. The OEE of the AI equipment in an electronic product enterprise is calculated and analyzed, the main reason which leads to the low OEE found out, and the improvement plan of AI equipment efficiency designed. With the application of the design scheme, the AI OEE level reaches the target level of workshop, which provides support and guarantee for the stable and efficient production. References | Related Articles | Metrics

A Research on Closed Valve Cover Production Process Quality Control Zhao Hui-zhen， Zhao Hu 2014, 17 (5):  29-34.  Abstract ( 1157 )   Save Observing the quality problems in a closed valve cover enterprise, quality control theory and methods are used to improve the quality of closed valve cover. First, a praetor diagram method is used to analyze the product quality problems；and then, using measurement system analysis, process capability analysis is made to find the key factors；using a fishbone diagram, a linear regression analysis is made to design the improvement scheme；using Minitab software, data is analyzed. Finally, improved improved improvedtithe project is successfully implemented, whose result shows that failure rate is reduced largely, and the process capability improved from 0.54 to 1.22. References | Related Articles | Metrics

Knowledge Inference of Automotive After-Sales Service Based onRough Set and D_S Theory Wang Hu, Wang Rui, Zeng Zhu 2014, 17 (5):  35-40.  Abstract ( 1218 )   Save Using the data of customer′s behavior characteristics to predict the customer′s demand for service has significance to improve the quality of automotive aftersales service. This paper rough set and entropy theory are made use of to extract the characteristic attributes from a large number of customer behavior attributes, which have significant effect on the state of the automotive parts. The reasoning evidences are constituted by these characteristic attributes. The BPA（basic probability assignment）corresponding to every evidence is calculated by decision rules′ intensity. Meanwhile, the comprehensive evidence is calculated by using the D_S evidential theory to synthesize the BPA. The customers′ service requirements can be inferred by this method. The method is proved by a case that it can be used for car′s aftersales service knowledge reasoning. References | Related Articles | Metrics

An Evaluation Model for Civil Aircraft Routes Average Fuel Consumption Sun Hong, Huang Gan-xiang, Wang Xiao-dong 2014, 17 (5):  41-45.  Abstract ( 1351 )   Save  The existing fuel evaluation models could not accurately direct both civil aircraft marketing analysis and aviation carbon emissions policymakings. In order to solve these shortcomings, the statistical data of types of aircraft operated by domestic airlines are used to analyze the main microfactors the level of average fuel consumption impacted with gray correlation analysis and the correlation coefficient method. Then the regression approach is utilized to analyze the relationship between route aircraft fuel consumption and sector distance, in which the impact of designing range and seat capacity on regression parameters are sufficiently considered. Finally, the analytical expression is presented to describe the mean fuel consumption model for civil passenger aircraft. 275 data generating from 11 aircraft types are used to estimate the parameters in the model and the fit goodness reaches 0.9979. Furthermore, the predicting tests using 16 data from 11 aircraft types indicate the average relative error is 0.0379. Hence, the model is practical and feasible owing to the high forecasting accuracy. References | Related Articles | Metrics

Customer′s Kansei On-Line Cognition Model in Product Shape Design Han Yudong1, Liu Wei2 2014, 17 (5):  46-52.  Abstract ( 1380 )   Save An on-line recognition model of Kansei preference in product shape design, which can obtain unstructured information of customer in structured form，is put forward. Firstly, semantic differential and multidimensional scaling are used to complete mapping from customer′s Kansei space to space of Kansei designing. Secondly, an orthogonal design is used to reduce times of experiment. Thirdly, a shifting mode used to generate choiceset of orthogonal design. Finally, a discrete choice model is used to analyze data, which can obtain relationship between Kansei and designing elements. The example of car shape elements is taken to illustrate the model, of which exterior is comprehensible and reasonable, and interior is scientific and religious. References | Related Articles | Metrics

A Research of Feeder Efficiency Improvement Based on the Theory of TRIZ Zhang Feng, Yin Xiu-qing, Dong Hui-zhong 2014, 17 (5):  53-58.  Abstract ( 1202 )   Save  A technique combining the TRIZ theory with industrial engineering-related ways is put forward to improve feeder efficiency. Through a causal analysis, value engineering and ECRS methods can improve efficiency of feeder, but they also encounter bottleneck. Combining the theory of TRIZ several solutions are put forward, and TOPSIS method is adopted for their preferential selection scheme. By implementing the scheme, no- value operation time and the production cost are both reduced, and the working efficiency improved. Results show that the technique combining the TRIZ theory with the relevant ways to improve can effectively solve the feeder contradictory problems in the optimization process, and the method can provide reference for enhancing the on-site improvement effect. References | Related Articles | Metrics

articles

Project-based Employees’ Job Characteristics, WorkFamily Conflict,  and Need for Recovery Relations in Construction Industry Zhang Su-xian, Zhao Fan,Hu Yin-ru 2014, 17 (5):  59-63.  Abstract ( 1288 )   Save Construction projects and their production particularities determine that the Projectbased employees′ workfamily conflict and need for recovery are particularly prominent, which will directly affect Projectbased employees′ job satisfaction and performance. Based on the review of existing literature, a conceptual model built by incorporating working conditions, workfamily conflict and need for recovery through an empirical study involving 510 projectbased employees. The results show that job demand has an indirect positive impact on the need for recovery through workfamily conflict, while job support can effectively alleviate the recovery needs. References | Related Articles | Metrics

Comparing Capability of Two Measurement Systems Based on Generalized Confidence Intervals Wu Xiao-fang，He Zhen，Shi Liang-xing 2014, 17 (5):  64-67.  Abstract ( 1279 )   Save  The method of comparing the capability of two measurement systems that measure the same quality characteristic in measurement system analysis is studied. Based on generalized inference, a method to compare two measurement systems capability is proposed. Through repeatability and reproducibility (R&R) studies, generalized confidence intervals for the comparison index of two measurement systems capability are built using generalized inference, and computer simulation is conducted. The results reveal that the proposed approach based on generalized confidence intervals can effectively compare capability of two measurement systems. References | Related Articles | Metrics

A Revised Fuzzy Importance Performance Analysis  Considering Competitive Analysis Geng Xiu-li, Li Yi-lin 2014, 17 (5):  68-74.  Abstract ( 1229 )   Save Importance Performance Analysis (IPA) is a commonly used customer satisfaction evaluation approach, and the analysis result is the important basis of product/service improvement design. In order to deal with the uncertainty of the customer′s evaluation information, fuzzy set approach was applied to express and handle the important degree information and performance information. Aiming at the problem that the traditional IPA does not consider the market competitive aspect in acquiring the attribute′s performance evaluation, a revised fuzzy IPA considering competitive analysis was proposed. Grey relational analysis was used to calculate the attribute′s competitive coefficient in order to amend the attribute′s initial performance evaluation given by customer group decision-making. Taking into consideration that there exist mutual influence relationships among attributes, DEMATEL was applied to analyze the difference level of the attribute impacting others and being impacted by others to modify the initial importance degree given by customer decision-making. Finally, a case study of customer satisfaction evaluation of an electronic product was presented to illustrate the effectiveness of the proposed approach. References | Related Articles | Metrics

A Research on Service Recovery Quality Evaluation in  Flight Delay Based on Weighted SERVQUAL Model Kong Xiang-fen， Wang Xiao-bei 2014, 17 (5):  75-78.  Abstract ( 1394 )   Save In flight delay and service recovery, travelers′ main concern is how to get the best compensation. Constructive advice is offered for airlines to improve service quality. A questionnaire survey is conducted among passengers using the SERVQUAL evaluation model for flight delays′ service recovery issues and a remedial service quality evaluation of flight delays is done. The results show that the tangibles are the most important part of the five attributes. And the overall results indicate that travelers are not satisfied with their services. Finally, according to these results, conclusions are reached with recommendations for airlines to improve service quality after flight delays. Related Articles | Metrics

A Research on Optimization of SMPEs Group Work Mode Processing Time Considering Organizational Learning Rate-Burnout Cheng Shuo， Zhang Bi-xi， Zhang Ming-zhu 2014, 17 (5):  79-84.  Abstract ( 1331 )   Save With the operation organization mode of our country′s small and medium-sized production enterprise (SMPEs) manual operation system (MOS) as the research object, and with group work mode of production and processing product batch makespan as objective function, and considering the effect of organizational learningburnout，a case study is conducted on how to get the optimum solution by using simulation in workers product batch processing production cycle. Through the example results show that with proper rest time and rest times, product batch processing cycle is better, while too long or too short time to rest and too many or too few rest times will affect the product batch processing cycle. References | Related Articles | Metrics

Buffer Optimization Configuration Method for Customized Manufacturing System Zhang Hui-yu, Kang Wei-cheng, Mao Ning, Chen Qin-gxin 2014, 17 (5):  85-92.  Abstract ( 1263 )   Save The workload problem, namely the buffer allocation problem (BAP), is complex, which exists in the open queuing network of customized equipment manufacturing enterprises with finite buffer. A queuing network model is proposed for a three-stage flexible flow shop where every stage has a finite buffer. To solve this queuing network model, a decomposition of state space method is proposed. With solving the state space equations, a series of system performance values are obtained. To test the validity of this method proposed, a simulation experiment is designed and an extended method is used to solve the problem respectively. By comparing the results solved by this three methods, the decomposition of state space method has proved rational, which will provide guidance and reference for the design and schedule of workload control in the large-scale flow shop with multistage and multiservice in each stage. References | Related Articles | Metrics

An Optimal Configuration of Multi-echelon Assembly  Supply Chains Under Capacity Constraints Lei Tao1， Qu Ting1,2， Nie Du-xian1,3，Huang Guo-quan1,2 2014, 17 (5):  93-98.  Abstract ( 1800 )   Save  The configuration problem of multi-echelon supply chain with limited production capacity is discussed. Based on the relationship of safety stock with respect to both the production capacity and net replenishment time, the supplier selection and the corresponding service times are optimized. A mixed integer programming model has been proposed for solving the supply chain configuration problem under uncertain market demands and limited production capacity, while an improved Genetic Algorithm with higher solution precision is adopted for problem solving. Two observations have been obtained from the results. First, a supply chain should avoid selecting those suppliers with smaller remaining capacities yet without advantageous prices and service times. Second, in case of highly fluctuated demands, a supply chain should allow broader lead time ranges for suppliers to achieve lower SCC（supply chain configuration）cost. References | Related Articles | Metrics

A Study of the Order and Information Free-riding Behavior of Dual-channel Supply Chain Based on CVaR Criterion Xu Bing, Liu Lu 2014, 17 (5):  99-107.  Abstract ( 1353 )   Save  A study is conducted on the information freeriding behavior of the directsale channel on internet controlled by one manufacturer to the traditional retail channel controlled by one retailer in one dual-channel supply chain (DCSC). Assuming that the demand is random and dependent on retailer′s information service level, the centralized and decentralized decision models of DCSC are set up when both manufacturer and retailer are risk-averse by using the CVaR criterion and the equilibrium analysis method. One buy-back plus information service subsidy contract is put forward to coordinate this DCSC by using the contract theory. The numerical simulation demonstrates the reasonability of the proposed models and feasibility of the coordinative contracts. It shows that the introduction of direct-channel is a double-edged sword for DCSC, which can attract the potential demand, but the large-scale demand transfer from the retail channel to direct-sale channel should be avoided; the enhancement of information free-riding behavior of direct-sale channel benefits all agents of DCSC; the more risk-averse decision-makers are, the less order quantities are, which lowers the profits of manufacturer, retailer and the whole supply chain; the decisions of DCSC with risk-averse decision-makers are identical to those with risk-neutral members when the risk-averse factor equals to one. References | Related Articles | Metrics

Service Cooperation Incentive Mechanism in a Dual-channel Supply Chain under Asymmetry Information Chen Jun, He Yuan, Lai Xin 2014, 17 (5):  108-113.  Abstract ( 1307 )   Save  Aiming to investigate the incentive mechanism for different service levels provided by the manufacturer in a dual-channel supply chain, the decision models of service cooperation are developed using the principal-agent theory on the assumption that the manufacturer′s service demand is achieved by the retailer. Then, the optimal fixed payments and the optimal profit-sharing ratios are obtained under symmetric information and asymmetric information, in addition to influence analysis of asymmetric information on cooperation performance. The conclusion implies that the manufacturer′s profit decreases under asymmetric information, the retailer′s profit remains the same even when lower service level is provided. However, the system performance of the supply chain decreases. References | Related Articles | Metrics

practice & application

A Research on the Mechanism of Sharing Sales Effort Cost  Based on Nash Negotiation Ma Xiao-yong， Chen Liang-hua 2014, 17 (5):  114-117.  Abstract ( 1377 )   Save  The traditional buy-back contract, quantity discount contract and profit sharing contract can solve the problem of mismatch between vendors ordering quantity and the actual demand, but they produce new incentive failure. Introduction of the cooperation promotion, combined with other coordination mechanism, can effectively improve the level of optimization of supply chain coordination. With the cost sharing as the object, adopting the asymmetric Nash negotiation model with retailer promotional effort, a supply chain coordination contract is designed, thus making up the residual income data which are difficult to obtain and ignore the negotiation ability factors causing defects in optimal reward contract design. References | Related Articles | Metrics

articles

A Study of Supply Chain Coordination of Perishable Products under the Shortage Cost Sharing with Demand Information Updating Liu Ying-han，Wu Long-sheng 2014, 17 (5):  118-123.  Abstract ( 1309 )   Save  In a two-stage supply chain for perishable goods constituted by a single market manufacturer and retailers who are updating the market needs at the beginning of sales, manufacturers adopt a two-stage production which only allows the retailers to make the order once, and manufacturers and retailers share the shortage cost in case of the shortage situation. Analysis is made to indicate how the level of shortage cost-sharing impact the supply chain, and examples are used to verify the results. Research shows that there is a positive correlation between the level of shortage cost-sharing and ordering quantity, and a negative correlation with the retailers profit. Through the introduction of the option contract, the supply chain achieves Pareto improvement. References | Related Articles | Metrics

Performance Evaluation on Regional Logistics Industrial Cluster Based on a Cloud Model Zhou Xiao-ye, Sun Huan, Wang Zhe 2014, 17 (5):  124-129.  Abstract ( 1189 )   Save Logistics industrial cluster plays an important role in promoting logistics industry and regional economy. And evaluating the performance of logistics industrial cluster and solving the problems encountered in the development is the top priority of the current study. Applying a cloud model in industrial cluster performance evaluation can not only effectively realize the transformation between qualitative concepts and quantitative figures, but it also makes the evaluation results more accurate and intuitive. First, the related concepts of cloud model are defined; second, the meaning of logistics industrial cluster performance is introduced and the performance evaluation system of regional logistics industrial cluster is established; finally, the cloud model is used to evaluate the performance of regional logistics industrial cluster of Shenyang Economic Zone according to the specific evaluation procedures. The result shows that the performance of logistics industrial cluster in Shenyang Economic Zone ranks between the level of "General" and "Good". It should pay more attention to improving competitiveness and collaboration, and strengthening innovation ability management. References | Related Articles | Metrics