The areas of statistical applications. Data types. The collection and recording of data (the registration form). Data Representation (tables and curves repetitive histogram). Read the curves. The principles of the possibilities. Normal distribution. Central and dispersion of data. Dispersion maps. Regression analysis. Acceptance of the samples. Acceptance sampling plans. Change . Quality control . The concept of setting statistical operations. Analysis of the ability of operations. Quality control maps. Maps medium term. Mapping quality control.

This paper reports the study of kaizen as practised in a selection of Japanese companies. After discussing the general understanding of kaizen and proposing a clear definition, the paper describes the methodology of the study, and presents findings from the research, as a base model and comparing this with the data from other companies which is compared with other firms in the steel and automotive industries to assess uniformity. The paper concludes that kaizen evolves uniquely within each organization, following changes to the organization’s business environment. Detailed implementations vary considerably between organizations, but all rely on kaizen to achieve targets as an integral element in the operations management system.

The areas of statistical applications. Data types. The collection and recording of data (the registration form). Data Representation (tables and curves repetitive histogram). Read the curves. The principles of the possibilities. Normal distribution. Central and dispersion of data. Dispersion maps. Regression analysis. Acceptance of the samples. Acceptance sampling plans. Change . Quality control . The concept of setting statistical operations. Analysis of the ability of operations. Quality control maps. Maps medium term. Mapping quality control.

Develop the knowledge and skill required to conduct a full audit of an organization's Quality Management System (QMS) to ISO 9001:2015. Gain the confidence to effectively audit a QMS in accordance with internationally recognized best practice techniques. Demonstrate your commitment to quality by transforming existing auditor skills to ISO 9001:2015. Consolidate your expertise with the latest developments and contribute to the continuous improvement of the business.

In recent years academic scholars have given increasing attention to the importance of strategic measurement systems including both non-financial and financial measures. One of the approaches adopted is that of the balanced scorecard. It is distinct from other strategic measurement systems in that it is more than an ad hoc collection of financial and non-financial measures. It contains outcome measures and the performance drivers of outcomes, linked together in cause-and-effect relationships, and thus aims to be a feed-forward control system. Furthermore, the balanced scorecard is intended not only as a strategic measurement system but also as a strategic control system which can align departmental and personal goals to overall strategy. This paper first examines the extent to which there is a cause-and-effect relationship among the four areas of measurement suggested (the financial, customer, internal-business-process and learning and growth perspectives). The paper then examines whether the balanced scorecard can link strategy to operational metrics which managers can understand and influence. Finally, it discusses and suggests some improvements to the balanced scorecard.

Audit program shall be planned taking into consideration status and importance of processes and areas and results of previous audits. Selection of auditors shall insure objectivity and impartiality of the audit process. Auditors shall not audit their own work. Documented procedures shall be established for conducting audits and reporting results. Responsible for areas audited shall ensure that actions are taken to eliminate causes of nonconformities.