Study on Evaluation of Safety and Quality in Military Aircraft Maintenance Ji Ding 1, Qiong-jian Fan 2, De-xiang Sun 1,Ji-jun Zhang1, Bo Ren 3 1 Training Department of Air Force Aviation University, Changchun, China Aeronautical Control Engineering Department of Air Force Aviation University , Changchun, China 3 Aeronautical and Mechanical Engineering Department of Air Force Aviation University , Changchun, China (sdx58964@gmail.com, iott1230@163.com) 2 Abstract - Evaluating safety and quality in military aircraft maintenance is one of the most important aspects in ensuring flight safety. Constructing index system of maintenance safety and quality of grass-root level,Using the method of set pair analysis (SPA) to evaluate maintenance levels of several aeronautical maintenance army and proving accuracy of the model compared with TOPSIS and gray correlation analysis. Based on component and network technologies, the assessment system is set up. Provide basis for controlling maintenance safety and quality and ensure aircraft support under the condition of informatization. Keywords - Military aircraft maintenance, safety, quality, comprehensive evaluation I. INTRODUCTION When referring civilian or military aviation, safety is always the eternal theme. At present, foreign countries have formed a variety of aviation safety evaluation systems which is more mature, such as the International Operational Safety Audit (IOSA)[1] in International Air Transport Association (IATA), Air Transport Monitoring System (the ATOS)[2] in the U.S. Federal Aviation Administration (FAA); As to domestic aviation safety evaluation, the use of fuzzy comprehensive evaluation method[3], multi-attribute decision making method[4], bayesian network evaluation method[5] have been widely used. Although aviation safety assessment has made a lot of results, but it can be seen from the type of the results, the decrease of risk caused by military aircraft maintenance activities is not given enough attention as the reduce of risk posed by the flight operations. At the same time, the research has not formed as a unified safety and quality comprehensive evaluation system on the safety and quality of grass-roots-oriented military aircraft maintenance, the achievement is limited and the related safety and quality indicators remains mostly in isolated and gap analysis. Therefore, it is necessary to establish a quantified grassroots-oriented military aircraft maintenance safety and quality evaluation system. Drawing on the useful experience of the foreign military, using the Set Pair Analysis methods (SPA), this paper aim to establishing and improving the maintenance of safety and quality evaluation system, the significance to improve the level of maintenance management and combat effectiveness is obvious. II. THE BASIC CONCEPT OF SET PAIR ANALYSIS Set pair analysis[6](SPA) is a system analysis method which is proposed by Keqing ZHAO, Chinese famous scholar .SPA believe that uncertainly is the essential nature of things, the certainly and uncertainly as a comprehensive inspection system, the system of certain is divided into the “same” and “opposition”, the uncertain is defined as “different”. The “three” are interrelated constraints, and under certain condition into each other. The core concept of Set pair analysis is contract degree. Set pair is associated with a certain set consisting of two pairs, connection degree is a characteristic set of links in the quantitative characterization, the expression is a bi cj . Where i is the different coefficient value in the range of [-1,1]; j denotes the opposing coefficient who’s value is set as -1; a, b and c denote the same degree, different degree and opposing degree respectively. A and c is certain relatively while b is not. We can know from the definition that a b c 1. III. THE MULTIPLE INDEX EVALUATE MODEL A. Establish the evaluation index system and index calculation criteria Aircraft Maintenance Management of the U.S. air force ordinance define eight index to judge the quality of maintenance work, they are major failure rate of the aircraft equipment, ground accident rate, the rate of qualified personnel, aircraft status report accuracy, plan efficiency, flight emergency rate, aircraft mission support rate, staff compliance rate. Aeronautical Engineering Protection Ordinance proposed by the Russian air force in 1991, provides a unified index system for the assessment of aviation equipment and maintenance of equipment status and technical quality, contains 279 indicators totally[7]. At present, the air corps quality control room uses ten tips of index to make judgment of the quality and safety of the aircraft maintenance work. In order to meet the needs of aviation equipment informatization development and reform of the aviation maintenance, on the basis of foreign military useful experience, we can consider the use of maintenance safety index (SI) and service quality index (QI). The gass-roots military aircraft maintenance safety quality evaluation index architecture is shown in table 1. The index calculation type can be divided into three categories. The index of I can be calculated by the data of the statistics from the quality control room of air force units. The intact rate of aircraft, success rate of the support task and the time of direct maintenance belong to this class. What should be noted is that all of the index quantity value needed to be divided by the designed value or the mean of same type of aircraft. The index of II is the data that our quality control system doesn’t record, and we should use special method to collect the information. III index is a quality assessment score index, such as the personnel pass rate. The value of the index is the test result, and quality evaluation is a combination of theory written and practical test. B .Determine the links between the comparison space and index [8-10] Now the military aircraft maintenance safety and quality assessment is denoted by G=(S,E,W,X), S={s1,s2, … ,sm} denotes a set of the maintenance forces to be assessed, Sr denotes the rth maintenance force; and E={e1,e2,…,en} denotes the evaluation index set, er is the rth index. Type of Index index weights Maintenance Maintenance Maintenance Maintenance force A force B force C force D Aircraft in good order Ⅰ 0.025 0.90 0.75 0.80 0.85 Success rate of the support task Ⅰ 0.022 0.94 1.15 1.20 0.90 Hourly direct maintenance time Ⅰ 0.014 0.85 1.05 1.10 0.92 Ⅰ 0.013 1.16 0.87 0.94 1.00 Mean preventive maintenance time Frequency of replace engine Ⅰ 0.010 0.86 1.04 1.06 0.96 Ⅱ 0.021 7 7 8 9 Mean time to repair Check time of per-machine Ⅱ 0.020 15 16 17 18 Re-dispatch time 4 of 4 aircrafts in the same condition Ⅱ 0.008 28 28 29 27 Maintenance flight rest rate Ⅰ Maintenance error perthousand rate Flight error per-thousand rate Flight accident portent per-ten thousand rate Serious flight accident per-ten thousand rate Three-grade accident per-ten thousand rate Serious ground accident per-ten thousand rate Common ground accident perten thousand rate Mean flight time between accident Flight frequency to maintenance day rate 0.005 0.60 0.45 0.55 Ⅰ 0.015 0.70 0.68 0.65 0.55 Ⅰ 0.120 0.65 0.65 0.55 0.50 Ⅰ 0.130 0.35 0.30 0.20 0.10 Ⅰ 0.150 0 0 0 0 Ⅰ 0.140 0 0 0 0 Ⅰ 0.160 0 0 0 0 Ⅰ 0.110 0.25 0.23 0.22 0.20 Ⅰ 0.002 0.72 0.65 0.63 0.63 Ⅰ 0.012 1.40 1.45 1.50 1.50 Ⅲ 0.008 95 95 96 98 Maintenance plan efficiency rate Ⅱ 0.004 40 42 45 44 Accident spare exchange rate Ⅰ 0.011 0.90 0.70 0.60 0.80 W={w1,w2,…,wn} means the index weight set, wr is the weight of index r, while n r xkr , 1 [0,1] , they shows 1 u r vr u r vr the approach degree of data xkr and ur, xkr and vr. The data larger, the approach degree bigger, therefore the similarity level, contrary level and the difference level are defined as following: complete rate meets akr xkr (1) ur vr ckr 1 xkr 1, wr 0 ; x=(xkr)m×n indicates the i decision matrix, xkr shows the await maintenance troop sk’s quantification value about the index er. The maintenance security quality optimal evaluation set U={u1,u2,…,un} and the worst evaluation set V={v1,v2,…,vn} are determined by each index weight 1 1 u r vr (2) (ur xkr )( xkr vr ) (3) (ur vr ) xkr So, to the benefit index, set pair connection level is: {xkr , ur } xkr u r vr 1 (ur xkr )( xkr vr ) x i 1 kr 1 j (4) (ur vr ) xkr u r vr Note: Index weight is calculated via AHP and expert survey. As the same reason, to the cost index such as maintenance responsibility aircraft error thousand rate, set pair connection level is: {xkr , ur } 0.56 Personnel pass rate w 1 xkr bkr 1 akr ckr TABLE I INDEX WEIGHT AND VALUE Index of the maintenance quality evaluation value, among them, ur, vr mean the maximum and minimum value separately. The comparison space [V,U] consists of the optimal and worst evaluation set. While the benefit index such as the aircraft 1 xkr 1 1 ur vr (ur xkr )( xkr vr ) x i kr j (5) (ur vr ) xkr ur vr The similarity and contrary rate of equation (4) and (5) show the await troop’s evaluation index tendency of good or bad. Also, the similarity and contrary rate of two equations are symmetrical with the same difference level. In conclusion, the equation is integrated as: {sk , u} ak bk i ck j (6) Where ak n n n r 1 r 1 r 1 wr akr , bk wr bkr , ck wr ckr . Since ak、ck are confirmed relatively, they indicate the await maintenance troop sk’s optimal and worst level approaching to maintenance security. Under relative certain conditions, the relative approach level of await maintenance troop sk (k=1,2,…,m) and optimal evaluation set U is defined as: rk ck (7) ak ck When the approach level ck is bigger, the await troop sk get closer to the optimal evaluation set U, so according to rk, await troop aircraft maintenance security quality can be evaluated. C. Example analysis Using above evaluation method, the paper evaluate four await troops. Each evaluation index value is showed in table 1. The weights are confirmed in table 1, and the integrated connection level and relative approach level are calculated via equation (4)-(7), shown in table 2. Meanwhile, in order to improve the reliability and veracity of proposed method, gray relation evaluation method and the TOPSIS evaluation method are used to examine the results, shown in table 3. From table 2 and 3, it is known that the results three methods are no difference, they are: C>B>A>D. In summary, the set pair analysis method’s application to aircraft maintenance security quality evaluation is feasible and accurate. TABLE II THE SPA EVALUATION RESULTS OF AWAIT TROOPS. Await maintenance troops Integration level ak Diversity bk Contradiction level ck Relative close level rk Rank B C D 0.227 0.244 0.273 0.216 0.445 0.408 0.467 0.456 0.328 0.348 0.260 0.328 0.409 0.412 0.512 0.397 3 2 1 4 TABLE III THE GRAY RELATION AND TOPSIS EVALUATION RESULTS OF AWAIT REOOPS. Await troops Gray relation Rank TOPSIS Webpage request Client browser Webpage retrieval Web browser Client browser Date request ODBC Retrieval data Data base server Fig. 1: Browser-Web server-data base server three-layer In the evaluationframework. process, the interactive of the personnel and process are achieved by ASP dynamic webpage and ActiveX control component. When other systems are integrated, they send requests to the evaluation server, and invoke the ports of server evaluation components to put the evaluation into effect. V. CONCLUSION Parameters A Client browser Rank A 0.864 3 0.941 3 B 0.906 2 0.947 2 C 0.942 1 0.958 1 D 0.746 4 0.932 4 IV. ACHIEVMENT OF DYNAMIC DISTRIBUTED APPLICATION SYSTEM Given that the aircrafts of different troops are located in diverse areas, when the military plane maintenance security evaluation system is exploited, integrated, layered and distributed system is required to ensure that the system is compact and the components could be transplanted, extended and operated. Exploited method based on components makes it possible. CSCW(Computer Support Cooperation Workgroup) is a set of software based on distributed computer system, its goal is to design application system supporting all kinds of synergy works, and improve people’s ability of solving problems. Under B/S framework, client screen is realized via WWW browser, the proposed browser—Web server—data base server framework is shown as figure 1. IE browser is installed by clients; and Microsoft IIS is installed by Web browser, the ASP is used as the browser script language, the interactive marking component and ActiveX control component are installed to provided download; Windows NT is installed in evaluation server, the COM components are deployed and managed by NT’s MTS; the system data base and maintenance module procedure are installed in data base. The paper begins with military aircraft maintenance security evaluation index system, the set pair analysis method is used, based on original data connection level, the troop maintenance security quality is evaluated, and the maintenance security quality evaluation system based on component and network technology is discussed, it is beneficial for the equipment department to master the maintenance quality condition, and provide support for information-based air battle. REFERENCES [1] IATA.IOSA Standards Manual[EB/OL] .http://www.iata.org/NR/rdonlyres/E3C8A673-8C50-4C32899B-3EE54BFC4568/0/ISM_2nd_Edition.zip [2] Guo-yan Chen. Aviation transportation monitor system research. Civil Aviation University of China, 2008, pp. 512. [3] Peng-yu Zhang, Yong-gang Wang. Multilevel fuzzy integrate assessment of aviation safety centered on human factors. Journal of Safety and Environment, 2006, Vol. 6, pp. 146-147. [4] Liang Li, Jian-bo Hu, Xiao-kui Sui, Peng Gao. Multiattribute Aviation Safety Risk Assessment Based on Fuzzy Theory. Control Engineering of China, 2007,Vol.14, pp. 33-34. [5] Song-bin Ding, Yi Ru. Airlines Flight Safety System Assessment Method Based on Bayesian Networks. Journal of Civil Aviation University of China, 2009, Vol. 27, No.3, pp. 30-36. [6] Ke-qin Zhao. Set Pair Analysis and its Preliminary Application. Science and Technology Press, 2000. [7] Feng-ming Zhang, Dong-liang Zheng, Zhen-zhong Lv. Aviation Equipment Science Maintenance Introduction. National Industry Press, 2006. [8] Xiao Chen, Yi Yang, Yi-ming Bi. Study of Effectiveness Evaluation of Maintenance Support System based on Set Pair Analysis. Fire Control and Command Control, 2009, Vol. 34, No. 1, pp. 75-78. [9] Bao-lei Chen, Zhi-wei Shan, Shou-hua Chen, Yao-hui Peng. Optimization Model of Equipment Support Scheme in Wartime Based on Integration and Contrast Analysis. Ordnance Industry Automation, 2009, Vol. 28, No.1, pp. 41-44. [10] Hui-zhi Cao, Ya-peng Wang, Yuan-fei Xue, Yao-jun Wang. Support Benefits Evaluation about Military Vehicles’ Repair Socialization Based on Set Pair Analysis. Journal of Ordnance Engineering College, 2008, Vol. 20, No.2, pp. 9-12.