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1.
Development and validation of business process reengineering (BPR) variables: a survey research in Slovenian companies
Nataša Vujica-Herzog, Andrej Polajnar, Stefano Tonchia, 2007, izvirni znanstveni članek

Opis: Business Process Reengineering (BPR) literature is based primarily on case studies and there is a lack of rigorous wide-ranging empirical research covering all its aspects. This paper presents the results of a survey researchcarried out in 73 medium and large-sized Slovenian manufacturing companies. Seven crucial areas were identified based on a synthesis of BPR literature, which must be practised to achieve effective process reengineering: management commitment, education & training, team work, BPR project characteristics, employee cooperation, information technology support,and levers & results. Variables have been constructed within these areas, using Likert scales, and statistical validity and reliability analyses.These developed variables can be important both for understanding BPRand in terms of the descriptive statistics, also reported in this paper. What emerges is the crucial importance of process orientation, goal setting, and top management commitment. Furthermore, these variables can be helpful forfurther research aimed at investigating BPR and its linkages with other areas, such as strategy, performance measurement, etc.
Ključne besede: production management, process management, business process reingeneering, survey research
Objavljeno: 31.05.2012; Ogledov: 1034; Prenosov: 60
URL Povezava na celotno besedilo

2.
INTERACTION BETWEEN QUALITY MANAGEMENT, PRODUCTION AND MAINTENANCE PERFORMANCE
Damjan Maletič, 2015, doktorsko delo/naloga

Opis: Many organisations invest a considerable amount of capital and resources, implementing new techniques to improve their performance. An effective management of production and maintenance and processes is vital for economic viability and a long term survival of many industries. In fact, an effective and efficient maintenance process is essential to assure asset performance. With this recognition, the asset and maintenance management has become an indispensable element of strategic thinking of asset owners and asset managers. This research aims to investigate the interaction between quality management, production and maintenance performance. The relevant theoretical foundations and research gaps are presented first, followed by development of a conceptual framework. The framework builds upon resource-based theory (RBT) literature to develop a conceptual framework, mainly to understand how company’s resources could contribute to company’s performance. Based on this theoretical underpinning two main research streams are studied, namely quality management in maintenance and asset management. Different sources of data were utilized to answer the proposed research questions. The thesis includes two large-scale surveys (among Slovenian organizations as well as an international survey conducted in Slovenia, Sweden, Poland, Slovakia, Greece and Turkey) and two empirical case studies. The outcome of regression analysis provides the evidence that quality management orientation is an important predictor of maintenance performance. By testing the impact of quality management orientation on maintenance performance, this research shows that strong foundation on quality management orientation is an effective way of improving maintenance performance. Further, by examining continuous improvement in relation to maintenance performance, this research seeks to examine the role of quality management practices in achieving maintenance performance. In this regard it was found that continuous improvement significantly and positively affects the maintenance performance. In addition, results of this research revealed a mediator effect of continuous improvement on the relationship between quality management orientation and maintenance performance. Moreover, this research examines the relationship between physical asset management practices and sustainability and operational performance as well. The research is based on a premise that asset management, which comprises of risk management practices, performance assessment practices, life cycle management practices, policy & strategy practices, leads to improved organizational performance. The results of this research provide the evidence to support the hypotheses and to demonstrate that organizations can benefit from the implementation of asset management practices. The MANOVA furthermore provides interesting insights into the effects of asset management practices on the organizational performance. The results indicate that there are significant mean differences in organizational performance dimensions (as measured by the business performance, environmental performance, social performance and operational performance) for low and high levels of asset management practices. Therefore, by focusing on asset management practices, organizations can expect to achieve higher performance outcomes. In addition a comparison between Slovenian and Polish data subset was performed. The results revealed some distinct elements, namely regarding the performance outcome. For example, the results indicate that Slovenian organizations achieved higher scores in business, environmental and operational performance, while Polish organizations achieved higher scores in social performance.
Ključne besede: quality management, asset management, maintenance, production, performance
Objavljeno: 12.06.2018; Ogledov: 403; Prenosov: 31
.pdf Celotno besedilo (2,97 MB)

3.
Relational database as a cogitative part of an intelligent manufacturing system
Igor Drstvenšek, Mirko Ficko, Jože Balič, 2004, izvirni znanstveni članek

Opis: An intelligent manufacturing system is intended to produce one or more subjects that it is designed for in an optimal way. This means that it has to find a proper production process to produce the subject in an optimal way. The manufacturing system can be called "intelligent" when it is able to find applicable optimisation criteria upon its past experiences thus improving its performance in future. Therefore, an intelligent manufacturing system needs capabilities to store data and make decisions upon them. Such a "brain" can be established by a proper design of a technological database and its database management system (DBMS). Examining all constitutive parameters of a work operation a model of a production process organization can be made, which can serve as a basis for a suitable database design. In addition, an application programme that will check the existence and availability of work operations in the database has to be added to the DBMS. What remains are some optimisation criteria upon which we will choose an operation among suitable and available work operations. This task is fulfilled by a genetic algorithm optimisation technique that would consider work operations' data as parameters of optimisation and on this basis search the optimal one out of the set of available operation.
Ključne besede: production processes, optimisation, relational database, database management systems, production automation, manufacturing system
Objavljeno: 01.06.2012; Ogledov: 1042; Prenosov: 51
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Advances in production and industrial engineering
2017, znanstvena monografija

Ključne besede: mechanical engineering, production management, manufacturing, artificial intelligence, process development, economic development
Objavljeno: 05.05.2017; Ogledov: 521; Prenosov: 221
.pdf Celotno besedilo (6,80 MB)
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7.
Risk management in the pharmaceutical industry in Slovenian companies
Nina Bucalo, Borut Jereb, 2017, kratki znanstveni prispevek

Opis: The pharmaceutical industry is one of the most competitive businesses in the world. Supply chain in this industry has been directed towards the production of large batches to avoid lack of supplies, and the achievement of regulatory requirements, at the cost of high level of inventory, higher costs and inventory write-off due to expiration or other reasons. In recent years this industry is facing major changes and challenges such as intense globalization processes, increased competition and innovations in technologies, which has broadened and deepened risks in supply chain. The paper reports the results of the study of the risk in distribution processes of Slovenian pharmaceutical companies, which was conducted among five companies and aims to draw attention to risks that arise in supply chain, to emphasize the importance of their management and to present a model for an effective assessment of risk in companies, developed at the Faculty of Logistics.
Ključne besede: risk management, risk catalog, production companies, pharmaceutical industry, distribution, logistics, Slovenia
Objavljeno: 06.07.2017; Ogledov: 261; Prenosov: 166
.pdf Celotno besedilo (115,52 KB)
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8.
Advances in production and industrial engineering
2017, znanstvena monografija

Opis: This publication, scientific monograph, offers comprehensive chapter series from scientific researchers conducted by regional authors, authorities in the fields and summarizes the principal scientific contributions. The chapters deal with range topics from optimization techniques in production development, quality in production processes, product and process development, technologies for business development and factors of social and economic development. Edited by two editors with contributions from chapters’ authors, this scientific monograph presents advanced topics for students, educators and practitioners. The editors would like to thank all chapters’ authors for devoting of the research results and expertise with the great enthusiasm. We encourage all of them to continue successful highly valuable cooperation, between Faculty of Mechanical Engineering at the University of Maribor and Faculty of Mechanical Engineering at the Ss. Cyril and Methodius University in Skopje.
Ključne besede: mechanical engineering, production management, manufacturing, artificial intelligence, process development, economic development
Objavljeno: 19.07.2017; Ogledov: 420; Prenosov: 153
.pdf Celotno besedilo (8,32 MB)
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9.
Production control of a polymerization plant based on production performance indicators
Dejan Gradišar, Sebastjan Zorzut, Vladimir Jovan, 2008, izvirni znanstveni članek

Opis: The specifics of process manufacturing have a great influence on production management. The focus of process-production control is to maintain stable and cost-effective production within given constraints. The synthesis of production-control structures is thus recognized as one of the most important design problems in process-production management. This article proposes a closed-loop control structure with the utilization of production-performance indicators (pPIs) as a possible solution to this problem. Suggested concept takes into account also economic issues of production. pPIs represent the translation of operating objectives, such as the minimization of production costs, to a reduced set of control variables that can then be used in a feedback control. The idea of production-feedback control using production pPIs as controlled variables was implemented on a procedural model of a production process for a polymerization plant. Preliminary results demonstrate the usefulness of the proposed methodology. At the implementation stage we must be aware that appropriate IT system has to be available which ensures needed online production data.
Ključne besede: production management, production control, production performance indicators, model-based control
Objavljeno: 10.01.2018; Ogledov: 245; Prenosov: 113
.pdf Celotno besedilo (963,78 KB)
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10.
3D-CO2-modelling for waste management in Styria/Austria
Wolfgang Fischer, Danko Simic, 2016, izvirni znanstveni članek

Opis: The paper in hand focuses on a calculation model which had been developed for calculating the CO2 production of a garbage truck during a waste collection tour. The challenge is the integration of not only the distance and loading weight but also the different petrol consumption and therefore CO2 production in regard to the topography of the whole collection tour. Additionally the increase of waste load at each stop during the whole collection tour has to be taken into account for the calculation. The model has been developed on basis of Excel. In order to get the real data from the collection tours these had been accompanied. There not only the whole tour but also all waste bins and stops for loading the waste had been registered. Both GPS (Global Positioning System) and RFID (Radio-Frequency Identification) had been used. The huge amount of data had to be scrubbed. This process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated was an important step to have reliable data for further calculation processes. The identification of the CO2 production during a waste collection tour including the topography and continuous revenue load had not been done so far and allows the identification of tour segments with lower but mainly higher or very high ecological impact. However, this is the basis for further discussions about options for optimizing the actual tours and habits of waste collection. That approach is part of a more comprehensive investigation of waste collection tours with general focus on economic, ecologic and social potentials for optimization.
Ključne besede: waste management, CO2 production of trucks, Styria, Austria
Objavljeno: 17.04.2018; Ogledov: 194; Prenosov: 29
.pdf Celotno besedilo (665,97 KB)
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