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Impact of selected lean management tools on work safety

-288. Gajdzik, B. (2014). 6S w przedsiębiorstwach produkcyjnych. Ewolucja praktyki 5S w kierunku bezpieczeństwa pracy. Problemy Jakości, 46(7-8), pp. 37-42. Grabowska, S. and Furman, J. (2015). Business model of steel company - focus on the innovation. In: METAL 2015: 24th International Conference on Metallurgy and Materials. Ostrava: Tanger, pp.1933. Furman, J., and Kuczyńska-Chałada, M. (2017). The influence of Lean Manufacturing tools on the product quality in the casting process – case study. In: METAL 2017: 26th International Conference on Metallurgy and

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A Review of TRIZ Tools for Forecasting the Evolution of Technical Systems

metodologii (red. Ryszard Knosala) Innowacje w zarządzaniu i inżynierii produkcji. Tom I. Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, Opole 2018, s. 11-22. [10] Chybowski L., Gawdzińska K., On the Possibilities of Applying the AHP Method to a Multi-criteria Component Importance Analysis of Complex Technical Objects. Advances in Intelligent Systems and Computing 445, 2016, s. 701-710, doi: 10.1007/978-3-319-31307-8_71. [11] Chybowski L., Gawdzińska K., Przetakiewicz W., AHP based multi-criteria function analysis as a TRIZ tool for complex

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Value Added Intellectual Coefficient (VAIC™) as a Tool of Performance Measurement

.M. (2007), Extending VAIC model: measuring intellectual capital components, “Journal of Intellectual Capital”, vol. 8, no. 4. Pulic A. (1998), Measuring the performance of intellectual potential in knowledge economy, Paper presented at the 2nd World Congress of Measuring and Managing Intellectual Capital, Mc Master University, Hamilton. Pulic A. (2000), VAIC™ - an accounting tool for IC management, “International Journal of Technology Management”, vol. 20, no. (5-7). Pulic A. (2004), Intellectual capital-does it create or

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Advancement of Tools Supporting Improvement of Work Safety in Selected Industrial Company

Abstract

In the presented article, the advancement of tools to improve the safety of work in the researched industrial company was taken into consideration. Attention was paid to the skillful analysis of the working environment, which includes the available technologies, work organization and human capital. These factors determine the development of the best prevention activities to minimize the number of accidents.

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Preference Pattern for Mobile Phone and Conventional Tools in Task Performance by Students of Delta State University, Abraka, Nigeria

Abstract

Mobile phones have become very popular among people in different countries of the world and apart from the traditional role of making and receiving of calls; they have been adopted for several other uses. Its use for those activities tends to pose challenge to the conventional media tools that are used traditionally to perform those activities. The study thus aims at determining the pattern of mobile phone usage by students of Delta State University, Abraka; their preference pattern for mobile telephone and conventional media tools in carrying out certain activities; and the implication of their use of mobile telephone on conventional media toolsThe study adopted the Technology Acceptance Model (TAM), which explains how a person comes to accept and use an information technology. Survey and questionnaire were used as the research method and instrument respectively. The data were analyzed with descriptive statistics. The study found that the students preferred using mobile phones to perform tasks that were originally performed with conventional media tools; and the use of mobile phone by the students also suggested a diminishing patronage of conventional media tools. The study recommends that providers of those conventional media tools should improve on their services to avoid losing patronage, and they should make their products and services adaptable to mobile phone users in order to boost patronage.

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Innovative Use of Quality Management Methods for Product Improvement

”, Quality & Quantity, vol. 46(1), 2012, pp. 315-321. [5] K. Midor, “An analysis of the causes of product defects using quality management tools”, Management Systems in Production Engineering, vol. 4(16), 2014. pp. 162-167. [6] M. Molenda, “Effectiveness of planning internal audits of the quality system”, Zeszyty Naukowe Akademii Morskiej w Szczecinie, no. 32, z. 1, 2012, pp. 48-54. [7] B. Szczęśniak, M. Zasadzień and Ł. Wapienik, „Zastosowanie analizy Pareto oraz diagramu Ishikawy do analizy przyczyn odrzutów w procesie

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Web-Based Tools for System Dynamics Simulation

. J. Morris, D.T Brunner, J.J. Swain eds., 1996. Proceedings of the 28th Conference on Winter Simulation, Coronado, pp.780-785. [5] Byrne, J., Heavey, C., Byrne, P.J., 2010. A review of Web-based simulation and supporting tools. Simulation Modelling Practice and Theory, 18, pp.253-276. [6] CENR, 2017. The birth of the web. Centre for European Nuclear Research, http://home.cern/topics/birth-web [Accessed 25 June 2017]. [7] Fishwick, P.A., 1996. Web-based simulation: some personal observations. In: J. M. Charnes, D

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Application of Selected Methods and Approaches for Improvement of Processes and their Use in Practice in Companies of Wood Processing Industry in Slovakia

Abstract

The aim of the paper is to point out the principles of process management and selected quality management tools, which are aimed at improving the processes of the wood processing industries of the Slovak Republic. The knowledge from these areas is based on the analysis of the theoretical origins from domestic and foreign sources and supported by the results of the research carried out in the first half of the year 2017. In the processing of the results, classical methods of research work were used such as analysis, synthesis, comparison, descriptive statistics, contingency tables, chi-quadrat test and graphic depiction. Based on the analysis of the research results, there was a slight dependence between the process optimization levels in the timber industry and other process improvement methods such as statistical process control methods and graphical analysis and problem solving tools.

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Ranking Strategic Objectives in a Strategy Map Based on Logarithmic Fuzzy Preference Programming and Similarity Method

Abstract

This paper aims to rank strategic objectives in a strategy map to improve the efficiency of strategy implementation. Objectives are ranked based on strategic destinations using the combination of Logarithmic Fuzzy Preference Programming (LFPP) and similarity method. In the first step, the weight of strategic destinations is obtained using LFPP technique; then objectives are ranked by similarity method. Similarity method uses the concept of alternative gradient and magnitude for effectively solving the general multi-criteria analysis problem. Finally, objectives are ranked in an actual strategy map. As a practical and efficient tool, the proposed approach can assist managers and decision-makers in drawing more efficient output from strategy maps.

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Simulation for Jewelry Production Process Improvement Using Line Balancing: A Case Study

Abstract

Thai jewelry is the world’s leading jewelry which has gained high reputation and recognition from customers worldwide. In the past decade, jewelry have become one of the top ten export product of Thailand with the current export value of around 58,000 million baht per year which is 3.4 percent of all Thailand export products. Due to the high competition in the world market, however, Thai jewelry manufacturers needs to continue to improve their product quality as well as process efficiency in order to gain more market share. Currently, computer-aided tools have become more powerful tool in jewelry production management. They have been used to design production process, plant and workstation layout, production planning, worker’s scheduling, and other decisive decision making in both high management and shop floor levels. This research demonstrates a case study of plant simulation application for jewelry production process improvement. The objective is to reduce bottlenecks and increase productivity in wax pattern and casting processes using line balancing. Various scenarios have been proposed in order to support different level of desired output rate due to the increase of demand. The results of line balancing and simulation models reduce bottlenecks. Hence, productivity is increased. The desired throughput rates are achieved with the minimum number of workers and machine in the system.

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