Fuzzy approach to business improvement of holding equipment in the conditions of decreased production range

In recent years, manufacturing industry has been characterized by a decreased production range and a demand for a rapid change of production programs. In such conditions holding equipment costs are considerably larger. In this paper, we review and analyze possible ways of business improvement concerning holding equipment in specific production conditions characterized by the decreased production range and lack of financial sources for applying systems of assembled and disassembled equipment. Classification of elements and group of elements of those systems is performed by applying a new fuzzy ABC method presented in this paper. Selected optimization criteria describe the performance measures of elements and group of elements of assembled and disassembled equipment whereas their relative weights are not the same. It is assumed that the values of imprecise optimization criteria and their relative weights are described by discrete fuzzy numbers. The developed procedure is illustrated by an example with real input data

The Redesign of Processes’ Development in Food Production Organizations Using Quality Engineering Methods and Tools

A number of trends and challenges such as increased competition, new technologies and regulations, quality and new consumer trends have been forcing the food industry to change [1, 2, 3]. In response to these new challenges, food companies are improving compet‐ itiveness by restructuring, redesigning existing processes, and intensifying the fight for mar

The design of hybrid system for servicing process support in small businesses

U radu je dat prikaz hibridnog sistema u kojem Ekspertni sistem (ES) predstavlja komponentu Sistema za podršku odlučivanju. Hibridni sistem je razvijen za potrebe dijagnostike kvara, što obavlja ekspertni sistem, a izlaz odnosno dijagnostifikovana neispravna komponenta predstavlja ulaz u sistem za podršku odlučivanju u kojem se na osnovu višekriterijumske analize vrši izbor dobavljača za zamenu neispravne komponente. Hibridni sistem razvijen je za dijagnostifikovanje kvara kod motokultivatora, motorne testere i kosilice za travu, a primenjen je u malom preduzeću koje je uvoznik, distributer i obavlja servisiranje navedenih proizvoda. Konkretni rezultati primene hibridnog sistema ogledaju se kroz skraćeno vreme dijagnoze kvara, brzu nabavku i zamenu neispravnih komponenti, olakšan servis i kvalitet usluge kupcima.The paper gives a survey of a hybrid system, where Expert System (ES) output represents Decision Support System (DSS) input. The hybrid system has been developed for the needs of fault diagnosis performed by ES, while the output i.e. a diagnosed faulty component is DSS input, where supplier selection for faulty component replacement is made, using a multicriteria analysis. The hybrid system has been developed for motocultivator, motor saw and grass mower fault diagnosis. The system was applied in a small company which is an importer and a distributor and performs servicing of the mentioned products. Concrete results mirror themselves in a shortened period of time for fault diagnosis and fast supply and replacement of faulty components, facilitated and better quality services for customers

Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement-Intuitionistic Fuzzy Sets and Genetic Algorithm Approach

The aim of this research is to propose a hybrid decision-making model for evaluation and selection of quality methods whose application leads to improved reliability of manufacturing in the process industry. Evaluation of failures and determination of their priorities are based on failure mode and effect analysis (FMEA), which is a widely used framework in practice combining with triangular intuitionistic fuzzy numbers (TIFNs). The all-existing uncertainties in the relative importance of the risk factors (RFs), their values, applicability of the quality methods, as well as implementation costs are described by pre-defined linguistic terms which are modeled by the TIFNs. The selection of quality methods is stated as the rubber knapsack problem which is decomposed into subproblems with a certain number of solution elements. The solution of this problem is found by using genetic algorithm (GA). The model is verified through the case study with the real-life data originating from a significant number of organizations from one region. It is shown that the proposed model is highly suitable as a decision-making tool for improving the manufacturing process reliability in small and medium enterprises (SMEs) of process industry

Evaluation and Selection of the Quality Methods for Manufacturing Process Reliability Improvement-Intuitionistic Fuzzy Sets and Genetic Algorithm Approach

The aim of this research is to propose a hybrid decision-making model for evaluation and selection of quality methods whose application leads to improved reliability of manufacturing in the process industry. Evaluation of failures and determination of their priorities are based on failure mode and effect analysis (FMEA), which is a widely used framework in practice combining with triangular intuitionistic fuzzy numbers (TIFNs). The all-existing uncertainties in the relative importance of the risk factors (RFs), their values, applicability of the quality methods, as well as implementation costs are described by pre-defined linguistic terms which are modeled by the TIFNs. The selection of quality methods is stated as the rubber knapsack problem which is decomposed into subproblems with a certain number of solution elements. The solution of this problem is found by using genetic algorithm (GA). The model is verified through the case study with the real-life data originating from a significant number of organizations from one region. It is shown that the proposed model is highly suitable as a decision-making tool for improving the manufacturing process reliability in small and medium enterprises (SMEs) of process industry

The evaluation of quality goals at the process level in a uncertain environment

Poboljšanje poslovnih procesa ostvaruje se između ostalog poboljšanjem ciljeva kvaliteta koji su definisani na nivou svakog procesa. U praksi nije moguće da se istovremeno izvrši poboljšanje svih identifikovanih ciljeva kvaliteta. Neophodno je da vrednosti ciljeva kvaliteta budu određene primenom odgovarajuće metrike. Prema dobijenim vrednostima ciljeva kvaliteta, menadžment tim određuje redosled poboljšanja ciljeva kvaliteta. U ovom radu, relativan odnos važnosti svakog para identifikovanih ciljeva kvaliteta zadat je u matričnom obliku. Performanse ciljeva kvaliteta su opisane pomoću lingvističkih iskaza. Svi lingvistički iskazi su modelirani trougaonim fazi brojevima. Nov model za ocenu vrednosti ciljeva kvaliteta sa respektovanjem njihove relativne važnosti je predložen. Razvijeni model je testiran ilustrativnim primerom u kome egzistiraju podaci procesa razvoja jednog preduzeća koje funkcioniše u realnom okruženju.Improvement of business processes is achieved, among the other, through improvement of quality goals which are defined on the level of each process. In practice, it is not possible to improve all identified quality goals simultaneously. It is assumed that it is necessary that the quality goals values be determined by applying determined metrics. With respect to given values of quality goals, management team determines the order by which quality goals are improved. In this paper, the relative importance of quality goals is stated by fuzzy pair-wise comparison matrix. The performances of quality goals are described by linguistic expressions. All linguistic expressions are modeled by triangular fuzzy numbers. The new model for evaluation of quality goal values with respect to their relative importance is proposed. The developed model is tested by illustrative example with real life data of development process

Dizajn mreže centara za rasklapanje vozila na kraju životnog ciklusa: studija slučaja

This paper addresses the issues involved in the design of the ELV dismantling centres locations network. The problem to be considered is one of ELV waste management problems. Its solution is of the utmost importance for ELV waste management problem, as it influences the choice and efficiency of ELV waste management strategies. It is realistically posed that the choice of locations depends on multiple, rather conflicting criteria. The uncertain criteria values are described by linguistic expressions modelled by fuzzy numbers. The values of the first three criteria are modelled by discrete fuzzy numbers, whereas the values of other considered criteria are modelled by triangular fuzzy numbers. These criteria also have a different relative importance. In this paper, the criteria importance is given by the pairwise comparison matrix and weight vector is calculated by applying the eigenvector approach. A new multi-criteria fuzzy model based on Pareto analysis is developed and applied. The developed model is illustrated with examples containing the real world data collected in Serbia.Publishe

New model of enterprises resource planning implementation planning process in manufacturing enterprises

This article presents new model of enterprises resource planning implementation planning process in manufacturing enterprises based on assessment of risk sources. This assessment was performed by applying analytic hierarchy process. Analytic hierarchy process method allows variation of relative importance of specific risk sources dependent on the section from which the risk source originates (organizational environment, technical issues, people issues, adoption process management, and external support). Survey was conducted on 85 manufacturing enterprises involved with an enterprises resource planning solution. Ranking of risk sources assessments returns most frequent risks of enterprises resource planning implementation success in manufacturing enterprises, and representative factors were isolated through factor analysis by risk source origin. Finally, results indicate that there are hidden causes of failed implementation, for example, risk source "top management training and education," from risk origin "adoption process management.

New model of enterprises resource planning implementation planning process in manufacturing enterprises

This article presents new model of enterprises resource planning implementation planning process in manufacturing enterprises based on assessment of risk sources. This assessment was performed by applying analytic hierarchy process. Analytic hierarchy process method allows variation of relative importance of specific risk sources dependent on the section from which the risk source originates (organizational environment, technical issues, people issues, adoption process management, and external support). Survey was conducted on 85 manufacturing enterprises involved with an enterprises resource planning solution. Ranking of risk sources assessments returns most frequent risks of enterprises resource planning implementation success in manufacturing enterprises, and representative factors were isolated through factor analysis by risk source origin. Finally, results indicate that there are hidden causes of failed implementation, for example, risk source "top management training and education," from risk origin "adoption process management.

Evaluation of influence recycling device on environment in production process phase by TOPSIS method

In this paper a problem of influence assessment of every input variable in the production process of recycling device was considered due to three key elements of environment (water, air and ground). All input variables which are considered in the production process are received by using LCA (Life Cycle Assessment) method. The influence of each kind of waste to the each environment element was assessed by modified TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method.Publishe