Training course 2

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Theme of the course/workshop: Total Quality Management in official statistics for improved efficiency of statistical production

Facilitators/ Instructors: Mária Dologová, Peter Mižik 

Program

Time slot

Topic

09:30 – 09:45

Introduction and objectives of the course

Presentation Introduction of the lecturers and participants

Morning session

09:45 – 11:00

Total Quality management (TQM) - evolution, main representatives

TQM system and European Statistics Code of Practice - towards an integrated TQM system

TQM for statistical production process performance improvement - performance, effectiveness, efficiency

11:00 – 11:30

Coffee Break

11:30 – 13:00

 

TQM for statistical production process performance improvement – cont´d

Basic approaches to ensure process performance (effectiveness, efficiency), planning of NSI processes, planning of the process; implementation of the process; evaluation of the process performance; improvement of the process

Performance evaluation according to the main TQM representatives

13:00 – 14:00

Lunch Break

Afternoon session

14:00 – 15:30

TQM for statistical production process performance improvement – cont´d

Principles of cost management as the integrated part of a TQM system

Keynote questions to the introduction of a cost management system

Using Activity Based Costing and GSBPM for cost management

15:30 – 16:00

Coffee Break

16:00 – 17:30

TQM for statistical production process performance improvement – cont´d

Hours worked management in statistical production as a tool for the managing of its efficiency

Cost management in statistical production - one of the key performance indicators

Cost of quality


Description and objectives of the course:

Objectives

The main objective of the course is to provide the participants with the basic information on approaches to performance improvement of statistical production from the point of view of effectiveness and efficiency within the context of the NSI total quality management system.

Participants’ profile

The course is intended for employees (preferably in managerial positions) of national statistical agencies involved in quality management.

Overall description and approach

The course in the first part explains the basic quality frameworks / systems in the field of statistics and gives a brief overview of TQM evolution. Then it briefly describes the TQM systems based on EFQM Excellence model and ISO 9001 standard, shows relations between these systems and the system based on European Statistics Code of Practice and the approach to creation of an integrated TQM.
The second part deals with the process performance in TQM setting: it explains the relation between performance, effectiveness and efficiency and introduces basic approaches to ensure process performance (process approach, managing risks and PDCA methodology). It then applies the approach to planning of NSI processes from the point of view of adding value to the main interested party, and to planning the process. It also explains implementation of the process, evaluation of the process performance and improvement of the process. At the end it briefly mentions the approach to the performance evaluation (from the effectiveness and efficiency point of view) according requirements of the both TQM representatives. The conclusion summarises the main TQM contribution to the process performance incl. statistical production process.
The third part deals with the cost management system as a basic tool for the evaluation of the process performance in TQM setting and its improvement. It shows the importance of the personnel work load recording system as a basic stone of the cost management. It also explains the use of the Activity Based Costing in the combination with the GSBPM not only in the assessment of the costs of the projects (statistical surveys) but also in the evaluation of particular activities with regard to value added and non-value added activities. The support of an appropriate management information system is the necessary condition for the automatization of the cost management system. The conclusion summarises the main contribution of cost management to the efficiency of the statistical production including examples.
The fourth part shows that quality is not free of charge and what to do to be efficient also in this field. It describes quality conformance and non-conformance activities. One of the TQM basic objectives is continuous costing improvement. The conclusion summarises the tools for the assessment of the continuous improvement via activities and how to identify the core problems.

Facilitators/ Instructors (short biographical note)

Mária Dologová is the director of the Department Strategy and Integrated Management System in the Statistical Office of the Slovak Republic (SOSR). She led implementation of the QMS of the SOSR including preparation for certification and later recertification of the system according to ISO 9001 standard, for the first time in 2006. She is responsible for further development of the system towards an integrated QMS and within the system for development and monitoring of implementation of the SOSR corporate strategy. She is lecturer in ESTP courses on quality management in statistical agencies and has given lectures on this topic in several countries within IPA Multi-beneficiary statistical cooperation programme and the KAZSTAT – Twinning Partnership Project. Since 2010 she has been member of the programme committee of the European Conference on Quality in Official Statistics.

Peter Mižik has worked for the SOSR as the director of the Administrative Data Sources Department. He was involved in the development of the cost management system of the SOSR. In this field he also has international experience in the technical assistance programme (KAZSTAT – Twinning Partnership Project), bilateral cooperation (Romania) or as the speaker at high level seminars (Belarus). He is active as the member of the ESS Resource Directors Group. Before starting his position at the SOSR he worked for business organizations as the controller or financial director.

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