Christian Robledo

A Relationship Between Six Sigma and ISO 9000:2000

We propose a strategy for the implementation of the Six Sigma method as an improvement solution for the ISO 9000:2000 Quality Standard. Our approach is focused on integrating the DMAIC cycle of the Six Sigma method with the PDCA process approach, highly recommended by the standard ISO 9000:2000. The Six Sigma steps applied to each part of the PDCA cycle are presented in detail, along with some tools and training examples. Based on this analysis, the authors conclude that applying Six Sigma philosophy to the quality standard implementation process is the best way to achieve the optimal results in quality progress and therefore in customer satisfaction.

A multicriteria failure mode and effects analysis approach for optimizing human safety

The human operator as the basic postulate of events appearance of catastrophes and failures; however issuing finders of diverse currents have to apply different methods to minimize risks of human errors, some have used combined methods taking counts him personals factors and engineering, others himself are supported on estimations probabilities to calculate trials of workers.. Moreover, it is through this synergy that members can achieve better results than they could achieve individually. For all these reasons, many research works have been undertaken to improve the functioning and performance groups in solving a decision problem.

The effective of lean manufacturing and six sigma implementation

In this paper, we study the performance outcomes for industries practicing lean manufacturing and six sigma. Findings indicate that company size has no influence on operational performance outcomes. Also we found that lean manufacturing and six sigma practices such as DMAIC, Kaizen team, Visual Control, SMED, 5S, etc. support to increases companies performance. Investigation results indicate that an increase in the number of years in terms of implementing lean manufacturing and/or six sigma, corresponds with an increase in financial and operational performance. The results also of this study specifically revealed that use six sigma in all departments supportive of improving quality; whereas companies that implemented lean manufacturing in all departments created a safe environment and improved employee involvement within the organization. Moreover, findings illustrate that the use of a belt system supported the improvement in quality, reduced costs and reduced variation. The implementation of lean manufacturing and six sigma are important areas of study as there are few studies reported in the literature on implementing lean manufacturing and six sigma within French industries.

The multiobjective optimization problem with fuzzy goal programming

Many present-day problems are multiobjective in nature and their solution requires consideration of conflicting objectives. Usually, they have a number of potentially Pareto-optimal solutions. An extensive knowledge of the problem is required in discriminating between solutions, eliminating the unwanted ones and accepting the required solution(s) by a decision making process.........It is well known that multiobjective optimization models have found a lot of important applications in decision making problems such as in economics theory, management science and engineering design. Because of these applications, many papers literatures have been published to study optimality conditions, duality theories and topological properties of solutions of multiobjective optimization problems. In the case of optimization problems, the idea of regularizing a problem by adding a strongly convex term to the objective function is an option. The regularization technique proved to be an invaluable tool in the solution of ill-posed problems, and an enormous amount of work has been devoted to its study. In this paper, a Multiobjective Optimization Problem formulation based on a Goal Programming Methods solves the multiobjective problem which can tackle relatively large test systems. This method is based on optimization of the most preferred objective and considering the other objectives as constraints.

Conceptual Research Model of Factors that Influence Environmental Knowledge Management at Organizational Level

Accelerated development of humanity in recent decades generated a double effect as a result: (a) the development of economies, creating social welfare, on the one hand, and (b) a enormous pressure on the environment, causing pollution, on the other hand. Therefore the organizations need efficient management systems - which can be considered - to give them a plus on the competitive market; environmental management system with environmental knowledge management subsystem (EKMS) can be considered as the key to success of industrial organization. Low efficienty level of environmental knowledge management, operated by decisional agents (simple employee or manager in the position they hold) in the Romanian organizations (mainly the industrial organizations) is the main problem approached by this paper (MP). This paper intends to resolve the problem covered above (MP) designing a quality analysis model for environmental knowledge management and sinecvanon identifying the important factors that influence it (collecting data / information from: a. analysis of different documents (environmental documentation / job descriptions / organization and operation regulations) from the 10 industrial organizations of NE Region of Romania and beyond; b. analysis of the specialized literature (focusing on previous studies conducted)).

Conceptual Research Model Regarding the Effects Resulted from the Implementation of Environmental Management System at Organization Level

Nowadays many organizations worldwide have/are implemented/ implementing an environmental management system (EMS) according to ISO 14001, considering the context, the need to minimize negative environmental impacts, and long-term benefits. It has been observed for decades that for successful implementation of EMS are required different changes in the organizational structure, chances that lead to a successful integration and operation of this management system. Studying the literature it was observed the inexistence of relevant investigations conducted at Romanian organizations level, investigations which include different methodologies with models adapted to the particularities of the Romanian context, and relevant results for the current situation (PA). This paper intends to resolve the problem covered through the following general steps: I. identifying the problem (MP); II. goal setting: conceiving a model to analyze the effects produced at organizational structure level as a result of implementing an EMS; III. collecting data / information / knowledge from the literature (focusing on previous studies conducted starting from Mintzberg and others (authors as C. Hunt, E. Auster, M.C. Lopez-Fernandez, A. Zutshi, A. Sohal and so on) and from discussions with various managers of the environment department of several organizations located in the NE Romania; IV. the construction of the model; V. validate the constructs from the proposed model. The proposed research analysis model approaches three general dimensions that should characterize finally the effects resulted from the implementation of environmental management system at organization level; dimensions: I. aspects of organizational structure: I.a. Specialization (S1.horizontal; S2.vertical), I.b. Decentralization (D1.horizontal; D2.vertical), I.c. Formalization, I.d. Environmental trainings (per profile), I.e. Professional competence, I.f. Processes/ systems orientation, I.g. Systems/ process planning and control, I.h. Coordination/ cooperation in environmental issue; II. The effects of EMS implementation/ integration on organizational structure; and III. The quality of the organizations EMS integration

Quality assurance and management in microelectronics companies: ISO 9000 versus Six Sigma

A strategy for the implementation of the Six Sigma method as an improvement solution for the ISO 9000:2000 Quality Standard is proposed. Our approach is focused on integrating the DMAIC cycle of the Six Sigma method with the PDCA process approach, highly recommended by the standard ISO 9000:2000. The Six Sigma steps applied to each part of the PDCA cycle are presented in detail, giving some tools and training examples. Based on this analysis the authors conclude that applying Six Sigma philosophy to the Quality Standard implementation process is the best way to achieve the optimal results in quality progress and therefore in customers satisfaction.