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 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

PLANNING THE IMPLEMENTATION OF QUALITY THROUGH STRATEGY FORMULATION AND CORPORATE GOVERNANCE

Planning the implementation of quality is a complex process that depends on many different internal and external factors. Planning the implementation is defined by the capabilities of management to visualize the market position of the company and to evaluate the company's strengths, weaknesses, opportunities, and threats. Serving to the company's purposes, planning the implementation of quality must be integrated into the company's strategic objectives and then transferred to other parts of the organization utilizing the corporate governance system. Planning the implementation, as a part of strategy formulation, should be reflected in: 1) company's vision and mission development, 2) goals setting, 3) strategy development aimed at achieving goals, 4) implementation and execution of the strategy, and 4) monitoring, evaluation, control, and readjustment of the strategy. Finally, planning must account for all possible implementation barriers

A NEW APPROACH TO QUALITY ENHANCEMENT: A CASE STUDY

There are a number of approaches for quality improvement that start from previously defined goal and definition of activities which lead to achievement of that goal. In this deterministic approach, risk in quality improvement has constantly been reduced by improvement activities, with relatively little increase in goal function. The basic approach is presented in the paper as well as measures and activities for decease of risk and vulnerability of quality improvement. This approach is tested in large company and part of results of model testing is presented in this paper

A NEW APPROACH TO MANAGING APPLICATION DEVELOPMENT FROM ASPECTS OF QUALITY

Objectives and methodologies for application development are derived from the business goals and financial factors, and many include productivity, flexibility and quality goals. According to V-diagram, next steps are identification and modeling for business process, business entities and design of ICT (Information and Communication Technology) infrastructure. Many of these elements completely or partly already exist in organizations. They depict existing knowledge and usage of methods in organizations, which should be performed in order to achieve effective and efficient managing application development. Long experience of authors in design on information systems and quality systems points that large overlapping exists between these development methodologies. It was the main reason that motivated authors to develop a new approach of integrated development of information systems, mainly application development, and quality management systems (QMS). This approach is tested in several organizations in the field of production. In this paper we presented a basic of a new approach for application development based on processes and QMS. Several characteristic solutions of process model and data model are presented

ICT IN DEVELOPING COUNTRIES: CONDITION AND IMPROVEMENT BY QMS - SERBIAN CASE STUDY

This paper evaluates the level of Information and Communication Technology (ICT) in the Serbian metal processing sector. This research uses data from the entire metal processing sector in Serbia (Sample: 20 large companies, 27 medium companies, and 247 small companies, overall with 33,057 workers). Data from the Serbian metal processing sector were compared to the relevant data from EU. In this paper, we present problems and steps for improvement of ICT in the Serbian metal processing industry. We will also present development of quality infrastructure necessary for support and improvement of Serbian ICT industry and improvement of ITC sectors in Serbian metal processing industry

Experimental Plant for Supervision and Monitoring of an Intermittent Heating System for Engineering Training

In this paper we will present the development and implementation of automation, regulation and measurement of heating energy consumption in the University auditorium, which could be used for training and education in different engineering fields (civil engineering, control engineering, process engineering and software engineering). Using a real remotely controlled system, educators are able to demonstrate the real-world principles of thermodynamics, fluid mechanics, and controls as well as to compare data from real systems and from models and software simulations. The presented system is in use at the Faculty of Mechanical Engineering in Kragujevac

INFORMATION MODEL OF MAJOR DEPRESSION TREATMENT COST - RELEVANCE OF QUALITY MANAGEMENT OF HEALTH SYSTEM

This paper develops multirelational data base for major depression costs. It lists how data are collected and stored into the fact base and dimension base. Uncertain data is described linguistically and modelled by fuzzy sets. Linguistic expressions are stored in dimension base. Models of major depression treatment costs are developed for each patient and all population. On the basis of this model and multirelational data base MD-OLAP a model for major depression treatment costs is developed

RELATION BETWEEN ORGANIZATIONAL - AND INFORMATION RESILIENCE: A WAY FOR IMPROVEMENT OF SYSTEM CAPACITY

In today's business conditions, organizations worldwide operate with the transactions executed and communications received immediately after they are initiated. Tolerance in every aspect is shrinking and many organizations are outsourcing dependable. Disruption in business has widened, it includes traditional natural disaster and any event that disturbs this fast-paced operational flow - from an acquisition or organization growth to a new government regulation or to a scheduled system upgrade. This resulted in a new business paradigm organizational resilience. Impact of Information Systems (IS) on organizational resilience is through: (1) higher level of knowledge and transparency of business processes, (2) higher level of flexibility, agility and sustainability of organization, (3) enhancement of key competiveness forces, (4) enhancements of awareness about business risks and vulnerability of organizations, (5) enhancement of speed of organization recovery, (6) enhancement of organizational culture and awareness about resilience and (7) supporting the organization sustainability. Each possible impact of IS varies and depends upon two sides and their relations: (1) characteristics of IS which is related to ICT characteristics and (2) characteristics of organization. Because that, authors contribution in this paper is to make clear different approaches to IS - and organizational resilience and establish the model for simulation of this impact. This model is evaluated on an example and presented as a case study