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Content available remote Kaizen philosophy as a source of competitive advantage of a company
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The article presents an implementation aspects of the Kaizen philosophy as a concept of continuous improvement of the organization. In particular, the emphasis was placed on clarifying the essence of quality - as a determinant of organization’s success in adapting to dynamically changing environment. The essence and the conditions of applicability of Kaizen were introduced in the article, based on a series of concepts and quality management systems. For this purpose was discussed the topic connected with the three pillars of Kaizen: management, individual and team. On this basis are shown the validity of the PDCA’s cycle and the implementation of such systems as: Total Quality Control/Total Quality Management (TQC/TQM), Just in Time (JiT), Total Productive Maintenance, Policy Deployment and a suggestion systems. Analysis of this concepts was illustrated in the context of a process approach, as a determinant of a new quality of running the enterprise. In respect of Kaizen, the importance of proper flow of information and the involvement of all employees in the process of raising the level of organization were underlined. Moreover, the importance of delegating the objectives, policies and quality, as well as the ability of an effective interdepartmental management were drawn to attention. The article confirms that building a competitive advantage is determined by continuous improvement of processes and by streamlining and consolidating of the achieved standards.
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Content available remote Diagram models in continuous business process improvement
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In this paper the author proposes a change in business modelling techniques classification, based on the results of research and a review of modern workflow systems. The described amendment has an impact on applicable – commercial approaches to continuous business process improvement. It fits the gap between the commercial need for easy understandable tool (based on widely-used diagrams) for analysts and researchers’ preference for working with well-defined mathematical models.
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