Strojniski vestnik - Journal of Mechanical Engineering 57(2011)2, 151-161 D01:10.5545/sv-jme.2009.177 Paper received: 01.12.2009 Paper accepted: 30.09.2010 Improvement of Business Processes Performances through Establishment of the Analogy: Quality Management System - Human Organism Aleksandar Vujovic1* - Zdravko Krivokapic1 - Mirko Sokovic2 1 Faculty of Mechanical Engineering Podgorica, University of Montenegro, Montenegro 2 Faculty of Mechanical Engineering, University of Ljubljana, Slovenia This paper establish a model for improvement of business processes performances based on quality management system (QMS) through a comparison with top organizational performances characterized by criteria i.e. particularities of the business excellence (BE) model. Analogy between QMS and human organism has been established to that effect. This analogy develops into two directions, one of which is used and presented in this paper (related to the analogy with willing functions of the human organism). Based on identification, measurement and analyses of occurrences of nonconformities in relation to requests of ISO 9001 standard, and based on the analogy with the human organism, conclusions about the readiness of organizations of productive and service type in terms of achieving BE have been drawn and areas and priorities regarding the improvement with the aim of achieving top performances have been identified. © 2011 Journal of Mechanical Engineering. All rights reserved. Keywords: improvement processes performances, analogy, decision support system, degree of readiness 0 INTRODUCTION The main objective of this paper is to find an analogy through a comparison between an organization and human body function and to develop an appropriate model for performance improvement of the organization [1]. Applying this model points out crucial points in organization (product/service) which should be improved by priority and tend to gain BE. There are numerous studies that deal with the research of benefits and disadvantages in systems with implemented QMS. Premises on the insignificance of the system of quality regarding the improvement of performance are based on allegations that by that system, procedures are over-emphasized through an excessive care of implementation or non-coverage by procedures and real quality is neglected [2] to [4]. However, most research works point to real benefits of the ISO 9001 implementation, contrary to those who claim that the price of implementation and maintenance of QMS is bigger than profits realized by it [5] to [8]. There are negative premises in literature related with total quality management (TQM) model regarding influence on organizational performances, as it is also the case with the ISO 9001 model. Such premises point to its inapplicability, and therefore, in this paper and in the idea of association of the ISO 9001 and the BE model in direction of the improvement, comparison with performances of organizations that have won an award for excellence as a measure of level of the TQM implementation, was pointless. Therefore, the authors [9] and [10] have chosen to point here to pessimistic attitudes and to promote optimistic premises through review and analysis of literary sources related to that subject. Premises that TQM has no efficiency regarding organizational performances have been included. These premises are accompanied by research works that indicate the difficulty or near impossibility of establishing a relation between TQM and organizational values and the belief that such a relation is unreal [11] and [12]. There are many studies that indicate how TQM model implemented into organizational management is not just effective but also efficient even in terms of financial results of the organization [13] to [17]. *Corr. Author's Address: University of Montenegro, Faculty of Mechanical Engineering, 81000 Podgorica, Cetinjska bb, Podgorica, Montenegro, aleksv@ac.me On such a defined basis and assertions that present the majority in literary sources, and point to the positive influence of the ISO 9001 and TQM on organizational performances even in the part of finance, an opportunity emerges that improvement in these models would directly contribute to the improvement of organizational performances. Every nonconformity i.e. disagreement with requests of the ISO 9001 model brings results in weakening of quality management system performances and thereby organizational performances. Hereby conditions are created to identify nonconformities with a term of error and apply the theory of learning based on errors or CBR (Case Based Reasoning) in this paper. Through the application of this theory or learning based on experiences, a system to predict the possibility of error occurrence in the identified areas of the ISO 9001 and to present measures for preventive action in that direction as to indicate possibilities and places for improvement for organizations, is being developed. Through the established analogy with the human organism and division of its activity to willing and unwilling, an opportunity is created to act upon the analogy with e.g. sportsman, and to make a comparison between middle-class sportsmen (QMS) and top-class sportsmen (system with the award for BE) according to these activities (the ISO 9001 requests). Therefore, it is possible to point to areas that are critical in view of performances and indicate priorities regarding improvements with the aim of achieving top performances. 1 ESTABLISHMENT OF THE ANALOGY BETWEEN THE QMS AND THE HUMAN ORGANISM This paper attempts at dealing with the perfection of functioning of the human body compared with a process modelling structures of the implemented QMS. The challenge was to create a system that is universal for all sizes of organization, which incorporate a large number of gathered data, or a large number of experiences, in order to get a better image of the system status. This should be added to the primary goal which is to develop a model for an improvement of the management system, aimed at achieving BE according to show off how to maintain and improve the performance of the human body. However, the goal is also to develop a system for measuring the performance and capacity of each activity in the QMS, in order to obtain a true picture of the systems and capabilities in order to define the areas where improvements should be made with a clearly defined intensity of improvement. On this basis, the established analogy is made to compare the elements of implemented QMS to the systems that have been applied for the Quality Award for BE as a system with high performance. A comparison is made from two aspects; the aspect of errors and in terms of significance of achieving BE. Therefore, indicators about the performance of the system and possible action for improving the system are achieved. The reason for the application of this approach may be to determinate and establish the links between QMS and artificial intelligence (AI) applications. In this way a basis for developing systems that simulate the human way of its functioning and reasoning is created. These activities are carried out especially in the field of expert systems. Expert systems are highly rated as the most commercialized branch of AI [18] and [19]. These systems are particularly suitable for organizations that tend to BE and the implementation of TQM strategy [20] and [21]. The authors [20] also have conducted a detailed analysis of the 143 software in the field of quality. The results indicate that the software in the field of quality is usually aimed at the control of documentation, statistical control and analysis, Six Sigma model, corrective action, flowchart and mapping process. Consequently, these represent a kind of automation tool for: the implementation process of document management system, describing the information flows, implementation methods and techniques of quality and more. Thus, it can be concluded that there is no software that is based on the application of AI-tools in terms of defining preventive actions for the improvement of processes. These views and attitudes were in agreement: that there is no correct programming software that has a strong base of knowledge that could assist in identification of a problem, that not a single expert system that deals with the measurement, evaluation, corrective and preventive action to improve organizational performance and the like has been developed [22] to [24]. Such analogies give incentive to create a foundation to set up and enter the field of AI in order to obtain knowledge as one of the most important factors for creating competitiveness in the market [25] to [28]. In need to establish the analogy between the process modulated organizational structure and the human organism, so as to create the system that is independent from organizational functions and based only on the process model, the following division of man functions was made [29] and [30]: • willing and • unwilling functions. Willing functions (term "functions" is used in medical terminology, although it is equally correct, to use a term "activities" in view of the ISO 9000 terminology. For reasons of consistent referencing and the use of theories from the field of medicine, the authors have chosen to use the term functions) are those dependent on man's profession and performed by man's will. They are variable and dictated by a central control of the organism. For example, when a worker at the construction site lifts his hand, this is not the same as when a referee lifts his hand and etc. Willing functions refer to functions of external motoric organs. The second category is made of unwilling or automatic functions and their use is given by their very existence. Those are functions that are the same in all professions and all the people (considering that they exist, i.e. that an organism is healthy) and do not depend on a man's will but are simply executed. For example, those are the functions of secreting enzymes, hormones, heartbeats, and similarly. They regulate the functions of an organism and those that cannot be controlled [31] and [32]. With such a ratio of functions in the organism, an analogy of the system with implemented quality management system can be established. In order to meet requirements of this paper, only an analogy in terms of willing functions has been considered. An analogy that regards willing functions goes in the direction of classifying organizations into productive and service organizations (Fig. 1), as to: • Identification of weak spots, namely organizational performances through acquisition of nonconformities and isolation of critical areas by the Pareto method; • Comparison with top organizational performances in accordance with the assessment applied in the competition for the Oscar for quality award (Serbian national quality award); • Analysis and conclusion on capacities of production or service organizations for achieving BE. Fig. 1. Analogy with the human organism in order to improve organizational performance The analogy established like this justifies the approach to work, which is, just as it is with the man, to monitor process performances in process modulated structure and based on, in medical terms, their condition and diagnostics of non-functionalities, to perform preventive actions in order to maintain the top form. All functions (willing and unwilling) exist in the organism i.e. they are carried out, under condition that it is a healthy organism, or in better said an organism whose organs perform their given functions. Analogically with that, systems observed from the standpoint of this paper are certified quality management systems, which meet all requirements i.e. perform all functions provided by the ISO 9001. That is confirmed by the certificate relating to the mentioned referential. On the other hand, willing functions are carried out by all organisms, but in a different manner depending on activity or profession. Thereby space is created to observe quality management systems and functions they perform based on analogy in different ways, depending on system activities. This justifies a tendency to monitor productive and service organizations in order to reach conclusions about specificities and abilities to achieve BE. 2 APPLICATIONS OF ANALOGY AND DATA ANALYSIS Unique database consisting of 1009 nonconformities, identified in over 350 organizations was created to meet the demands of this paper, and in that way, a basis was found to carry out an analysis with the aim of defining critical areas, specificities of an organization and guidelines for an improvement in the direction of defining preventive measures and a decrease of corrective action that would correspond to the ISO 9001. The term nonconformities refer to any nonconformance of requirements of ISO 9001, nonconformity - non-fulfilment of a requirement [33]. During the external audits of QMS, competent and trained auditors can identify several types of nonconformities. The distribution of nonconformities depends on the rules that define the certification body itself. However, for the purpose of this paper classification, which is most common in the literature [34], favoured by authoritative schools in the field of management system and clearly recommended by European guidelines in the subject area, which is split into three levels, is used. The first level is the disagreements that are evaluated as insignificant deviations from the standards and requirements which are interpreted as an oversight or random error. The other two categories are interpreted as nonconformities that represent a great deviation from the essential requirements, which are reflected in the frequent discrepancies in individual requirements, representing a deviation that puts in doubt the stability of the management system and threatens the operations of the organization. The data base of nonconformities which is under consideration in this paper contains only nonconformities in the domain of the other two categories, and that giving greater importance to this research and gives more significant results. Non-conformances are identified in accordance with the structure requirements defined in the ISO 9001 as follows: • Quality management systems: 4.1-General requirements, 4.2-documentation requirements, • Management responsibility: 5.1-management commitment, 5.2-customer focus, 5.3-quality policy, 5.4 -planning, 5.5-responsibility, authority and communication, 5.6-management review, • Resource management: 6.1-provision of resource, 6.2-human resources, 6.3-infrastructure, 6.4-work environment, • Product realization: 7.1-Planning of product realization, 7.2-customer-realated processes, 7.3-design and development, 7.4-purchasing, 7.5-production and service provision, 7.6-control of monitoring and measuring devices, • Measurement, analysis and improvement: 8.1-general, 8.2.1-customer satisfaction, 8.2.2-internal audit, 8.2.3-monitoring and measurement of processes, 8.2.4-monitoring and measurements of product, 8.3-control of nonconforming product, 8.4-analysis of data, 8.5-improvement. Accordingly, in the field of 8.2.1 from the standpoint of the appearance of non-conformance, organizations are subject to significant and frequent or large deviations in the sense that the information about the observations of users is not followed and the methods for obtaining this information are not defined. Moreover, they are not characterized by good communication with customers and similarly. Similarly, in the field of 8.2.3 with the observed aspect, organizations do not apply appropriate methods for monitoring and performance measurement processes, have no mechanisms for the implementation of corrective measures in cases that have not achieved the planned performance of processes and the like. If we consider that there are 500 certificates in Serbia and Montenegro in the part of the most competent certification bodies, then the number of 350 makes 70% out of total number, which indicates the significance of the sample for analysis. Nonconformities represent findings of external revisers who underwent demanding trainings mostly with foreign and competent trainers, which of course increases the significance of data for analysis. These nonconformities were stored in the database classified in relation to requests of standard and activities of the organization by application of realized DSS (Decision Support System) i.e. system for the support of decision-making. Furthermore, we enter data analysis and integration with results of displayed software solution for DSS. Based on the analogy with willing functions of the human organism, database is being searched separately for productive and service organizations. During that, the distribution of nonconformities is being observed in the percentage form individually for every request of the standard in accordance with the previously defined division. For the analogy with the human organism, the monitoring of the condition of every activity is realized (or in medical terms, "every function") i.e. transposed in the field of standard, condition of every spot, i.e. the request of the standard, is monitored. Thereby the inevitable process approach up to the level of activity is being respected, i.e. promoted. In that direction, the percentage display of nonconformities appearance for every request of the standard into a positive form has been converted by subtracting the number of one hundred so as to create a positivistic standpoint and identify the power of activity. Afterwards, through an introduction of the term Degree of readiness (Si) multiplication of the power of every request given in terms of percentage with weight coefficient is done in relation to the BE (according to EFQM model) obtained as a result of application of AHP (Analytic Hierarchy Process) approach and point to significance of every request of ISO 9001 individually for achieving business excellence [1] and [35] in accordance with the following Eq.: Si(p/u) = Nz(p/u) [%]X Kz(p/u), i = 1, 2, 26, (1) where Si(p/u) is the degree of readiness for productive/service organizations; Nz(p/u) is the power of a standard clause in terms of percentage and Kz(p/u) is coefficient of significance for achieving business excellence. The results of the presented approach are shown in Table 1. Based on the addition of powers for every clause of the standard individually, on the power, i.e. degree of readiness (S(p/u)) for the entire organization can be predicted, that is to say, the quality management system in terms of achieving business excellence in accordance with the Eq.: J( p !" ) ( p !" ) (2) where S(p/u) is the degree of readiness for the entire system of productive/service organization. Applying the defined expression, the following degrees have been obtained: Sp) = 55.44538 - Degree of readiness for productive organization; S(u) = 56.37187 - Degree of readiness for service organization. As S(u)> S(p) i.e. service organizations have a larger degree of readiness in terms of achieving business excellence, it can be concluded that: By observing the entire certified QMS, service organizations in our environment, observed from the perspective of occurrence of nonconformities i.e. errors in the system, namely transferred in terms of powers of every request of the standard individually, have a bigger capacity for achieving BE regarding the European Award for Business Excellence. Difference of 0.9265, regarding the scope of numbers occurring in this research, is significant. If you have a look at the Table 1, this ¡=i difference could signify that service organizations have the "advantage" of e.g. approximately three requests (7.4, 6.3 i 6.4 or some other combination) because the sum of their degrees of readiness covers up for this difference, and alike. However, if you take a look at the influence of weight coefficients on achieving business excellence, you can find a significant difference both in productive and service organizations in terms of their significance. Thereby, even fulfilment of certain requests of the standard and completion of their improvement in terms of excellence do not have the same meaning. For example, a significant difference between coefficients of significance of clause 8.2.1 and clause 6.4 of the standard has been observed. Thereby, both fulfilment of these clauses and completion of their improvement do not have the same meaning. Research was continued in that direction, and by applying Pareto method, the most significant requests of the standard were identified i.e. requests that participate with over 70% in the total sum of their weight coefficients, for productive and service organizations independently. Through application of the Pareto method, following requests were identified as the most significant requests in achieving business excellence: • for productive and service organizations, requests - 8.2.3, 8.2.1, 8.5, 8.4, 5.5, 8.2.4, 5.6, 5.3, 7.1 and 4.1, We can examine readiness of productive and service organizations in terms of achieving critical requests for BE. That conclusion points to the speed of achieving business excellence considering that there are great preconditions for organizations with bigger capacity to meet critical requests and improvements in that part, to achieve business excellence faster too. In that direction, a term of critical degree of readiness in accordance with the Eq. has been introduced: k ( p / u ) 10 =1S ( p/ u ) (3) i=1 Based on the expression for critical degree of readiness, the following is obtained: Critical degree of readiness for productive organizations, Critical degree of readiness for service organizations. Sk(p) = 34.13428 S, •k(u) 31.47164 ■ Table 1. Review of the degree of readiness for productive and service organizations in relation to every request of the standard Requests Production (power) CO Service (power) (u) ^ CO 823 50 0.083 4.15 50 0.083 4.15 821 66.67 0.082 5.46694 33.33 0.083 2.76639 85 37.14 0.069 2.56266 68.57 0.069 4.73133 84 57.9 0.067 3.8793 42.1 0.067 2.8207 55 66.67 0.066 4.40022 36.67 0.066 2.42022 824 40 0.064 2.56 70 0.064 4.48 56 44 0.059 2.596 58.67 0.056 3.28552 53 70 0.054 3.78 50 0.054 2.7 71 56.52 0.04 2.2608 47.83 0.04 1.9132 41 65.22 0.038 2.47836 56.52 0.039 2.20428 51 72.73 0.038 2.76374 72.73 0.037 2.69101 75 37.5 0.038 1.425 67.19 0.037 2.48603 54 48.72 0.037 1.80264 53.85 0.037 1.99245 83 50 0.036 1.8 65.39 0.036 2.35404 52 40 0.035 1.4 100 0.035 3.5 81 60 0.033 1.98 100 0.034 3.4 822 46.3 0.032 1.4816 57.41 0.032 1.83712 73 76.19 0.026 1.98094 47.62 0.026 1.23812 61 100 0.022 2.2 50 0.021 1.05 72 56.76 0.022 1.24872 48.65 0.022 1.0703 42 49.26 0.019 0.93594 51.85 0.019 0.98515 76 44.68 0.018 0.80424 61.7 0.018 1.1106 62 62.07 0.008 0.49656 43.1 0.008 0.3448 74 52.94 0.008 0.42352 49.02 0.008 0.39216 63 50 0.005 0.25 53.33 0.005 0.26665 64 63.64 0.005 0.3182 36.36 0.005 0.1818 where Sk(p/u) is critical degree of readiness for the entire system of productive/service organization. As Sk(p) > Sk(u) it can be concluded that productive organizations in the system of numbers shown in Table 1 have a significant "advantage" in achieving BE in relation to service organizations. Therefore, productive organizations may establish the BE "faster" in the critical part. The difference between critical degrees of readiness is 2.66264, which could e.g. conform to request 8.5 at the productive organizations. The research was further elaborated in order to indicate critical areas from the standpoint of occurrence of nonconformities in productive and service organizations and the examination of correspondence with significances of the request in the part of achieving BE. The aim was to indicate whether certain critical areas in the system correspond to significant requests for achieving BE i.e. requests that have pronounced weight coefficients. Those are also requests that require special attention from the standpoint of improvement and defining measures in terms of prevention in order to "strengthen" those areas and thereby create preconditions for achieving BE, namely, improve organizational performances in accordance with a tendency of achieving BE. At the same time, the Pareto method (70/30) was carried out and based on that critical areas can be defined as follows: • for productive organizations, requests - 4.2, 5.6, 7.5, 8.2.2, 7.6, 7.4, 8.5, 6.2, • for service organizations, requests - 4.2, 6.2, 5.6, 7.4, 8.2.2, 7.5, 8.2.1, 5.5, 7.2, 5.4. Now common requests that are critical from the standpoint of occurrence of nonconformities and that have significant weight coefficients in terms of achieving business excellence are searched for. Common requests in those terms that present either critical areas or areas of special significance for the implementation of improvement measures in one are shown in Table 2. Therefore, priority requests or areas of the standard wherein urgent improvements from the standpoint of achieving top performances based on the BE model should be done, i.e. areas whereupon "strong" and priority preventive measures should take place, are as follows: • requests 5.6 and 8.5 for productive organizations and • requests 5.6, 5.5 and 8.2.1 for service organizations. Now an analysis of individual requests, observing their "readiness" regarding the percentage of occurrences of nonconformities, and on the other hand their weight coefficients in achieving BE, with a previously stated goal which initiated further analysis up to this level, can be performed. Clause 5.6 observed from the perspective of occurrence of nonconformities, is especially pronounced both at productive and service organizations, and a significant number of nonconformities have been found within it. On the other hand, in relation to BE it has a medium value of weight coefficient in the part of critical coefficients. Coefficients imply that it is necessary to carry out improvement measures of "medium intensity" both at productive and service organizations in order to reduce a great number of nonconformities and satisfy a coefficient of medium significance in the group of critical coefficients. Service organizations have the "advantage" in this part, considering that the coefficient of significance is approximately the same, while the number of nonconformities is smaller in relation to productive organizations and area 5.6. A considerable number of nonconformities imply the considerable number of experiences of others too, and based on the approach applied in this doctoral thesis or the approach of learning based on experiences of others, it is possible to carry out a significant number of preventive actions for this area, that would provide an improvement of this area of the standard. Area 8.5 has been identified as critical in the part of productive sector regarding the occurrence of nonconformities and belongs to the "lower" A class of the Pareto classification. Still, as a critical area it is significant for improvement and has a priority in relation to other areas, and especially because its weight coefficient in achieving BE is pronouncedly big. Therefore, improvement in this part with "strong" preventive measures provides a significant advance of organization i.e. QMS towards BE. The results presented in [36] show a certain congruence and similarity in the conclusion. According to this approach, this is also the last area of the standard that has special and priority significance for improvement. In service organizations, the area of the clause 8.2.1 emerges as a critical area regarding the occurrence of nonconformities. According to the Pareto's division this area belongs to the "lower" A class. Great significance has been identified also regarding the significance of the coefficient that belongs to this clause in terms of achieving BE. In addition, it is "worrying" that a large number of nonconformities at service organizations has occurred exactly within one of the essential requests of the standard, i.e. user satisfaction. This observation becomes more significant if we bear in mind that in our situation it is evident that the economy now for the most part relies, on the service sector. Table 2. Review ofpriority areas for improvement Productive organizations M g