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EN
The objective of the present study is to demonstrate the application of multicriteria decision making methods in selecting the most efficient option of quality management system in food industry. Most studies concentrate on single aspects of quality management, instead of looking at the problem more holistically by analysing all factors and often complex relations between them. In response to this shortage, the present study proposes a more holistic model of successful quality management of food products. The Analytic Network Process (ANP) were applied to build and analyse the problem. The successful quality management has been defined here as a goal of improving the quality of food products and increasing the company management effectiveness. The overall model comprises Benefits, Opportunities, Costs and Risks and consider a range of various factors influencing the decision problem. The ANP results are based on empirical survey (questionnaire interviews) carried out with managers in three leading food enterprises in Poland. The problem presented in this paper is very important not only in Poland. B,O,C,R models of improving the quality of food products and increasing the company management effectiveness can be successfully applied by food enterprises to choose the most appropriate quality management systems. Other methods applied to solve this problem would likely fail to analyse these dependencies so thoroughly. Last but not least, the rules of building the B,O,C,R models to select the best option of quality management system in food industry can also be applied in other than food companies.
EN
The objective of the present study is to demonstrate the application of multicriteria decision making methods in selecting the most efficient option of quality management system in food industry. Most studies concentrate on single aspects of quality management, instead of looking at the problem more holistically by analysing all factors and often complex relations between them. In response to this shortage, the present study proposes a more holistic model of successful quality management of food products. The Analytic Network Process (ANP) were applied to build and analyse the problem. The successful quality management has been defined here as a goal of improving the quality of food products and increasing the company management effectiveness. The overall model comprises Benefits, Opportunities, Costs and Risks and consider a range of various factors influencing the decision problem. The ANP results are based on empirical survey (questionnaire interviews) carried out with managers in three leading food enterprises in Poland. The problem presented in this paper is very important not only in Poland. B,0,C,R models of improving the quality of food products and increasing the company management effectiveness can be successfully applied by food enterprises to choose the most appropriate quality management systems. Other methods applied to solve this problem would likely fail to analyse these dependencies so thoroughly. Last but not least, the rules of building the B,0,C,R models to select the best option of quality management system in food industry can also be applied in other than food companies.
PL
Zaprezentowano wprowadzenie do wielokryterialnego podejmowania decyzji z użyciem dwóch decyzyjnych narzędzi: Analitycznego Procesu Hierarchicznego (AHP) oraz jego udoskonalonej formy - Analitycznego Procesu Sieciowego (ANP). Przedstawiono teoretyczny aspekt obu metod oraz przykłady ich praktycznego wykorzystania do rozwiązania niektórych z otaczających nas problemów. Metoda ANP została zaprezentowana po raz pierwszy w Polsce i wykorzystana w rozwiązywaniu praktycznego problemu poprawy jakości produktów żywnościowych.
EN
This article presents an introduction to multicriteria decision making using two decision tools: the j Analytic Hierarchy Process (AHP) and its generalization to dependence and feedback - the Analytic j Network Process (ANP). The discussion involves theoretical aspects of these methods and some exam- J pies of their applications, (e.g. the first application of the ANP, in improving of food ąuality products, in l Poland), in organizational and management problems solving. AHP and ANP introduced by ThoroasJ L. Saaty from the University in Pittsburgh, USA. The Analytic Hierarchy Process has been one of t fastest developing mathematical methods over the recent years used for solving multi-criteria decisio problems. The AHP is a generał theory of measurement based on some mathematical and psychologia principles. In that method a hierarchie decision scheme is constructed, by the breaking the problem inl decision elements: goal, criteria, subcriteria, sub-subcriteria (...) and decision alternatives. The goal is o the top of hierarchy, whereas altematives create the lowest level of hierarchy. The imponance of t decision element is established, through the pair-wise comparison of elements on each level of the hie chic structure, with regard to elements on the level above. To do the comparisons it is using the Są fundamental scalę for paired comparisons for the analysis of both quantitative and qualitative varia The Analytic Network Process (ANP) is a new theory that extends the Analytic Hierarchy Process (AH The basie structures arę networks, which allow interactions and feedback within the cluslers and betw the clusters. So, it can be applied for soMng morę sophisticated decision problems. Authors' intention was to showing utility of these methods, which can be successfully applied in i solution of any multicriteria enterprise.
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