scholarly journals Control Systems for Quality Management

Author(s):  
Zulnaidi Yaacob
2016 ◽  
Author(s):  
Leonid Basovskiy ◽  
Viktor Protasyev

The book represents a modern professional course of quality management. Contains a statement of teoretiko-methodological fundamentals of science about quality management. Covers all complex of problems, methods and instruments of quality management of goods, services and works, processes and control systems. Conforms to requirements of the Federal state educational standard of the higher education of the last generation for the Management direction 38.03.02 and the requirements which have developed at the universities conducting in world educational space. For students, graduate students, teachers of the economic, administrative and engineering directions of higher education institutions, students of business schools and practical workers.


Author(s):  
Zulnaidi Yaacob ◽  
Ommei Kolsum S. Router

The premise of this paper is that Total Quality Management (TQM) must be adopted as a way of life for employees and not just as a slogan per se, so that the intended goal of implementing TQM can be fully realised. In order to internalise the philosophy of TQM into each organisational member, control systems play an important role. Control systems, among others, are implemented as systems for aligning the intended objectives of TQM and the individual objectives of each employee. The findings of this study supported the contingency theory that suggested the control systems being practised should be aligned with the strategy pursued to achieve the intended objectives. This paper extends the current existing knowledge by investigating the mediating role of control systems in explaining the relationship between TQM and customer satisfaction.  


2019 ◽  
Vol 282 ◽  
pp. 02069
Author(s):  
Marek Dudzik ◽  
Mirosław Dechnik ◽  
Marcin Furtak

This paper will continue application of neural networks to the concept of environmental quality management technology described elsewhere. Human preferences are different and may vary depending on type of the work or psycho-physical conditions of workers. This paper deals with application of artificial neural networks (ANNs) to control of general lighting systems to provide personal (individual) illuminance on worktables. Two-layer feedforward ANN is used to identify and model the system. Introduction of ANN to model illumination systems opens a new possibility of individual control systems in which specific areas have different set of requirements than remaining areas of a lighting system.


2020 ◽  
pp. 81-84
Author(s):  
Vladimir Konstantinovich Gryzhov ◽  
Vladimir Sergeevich Grebenshchikov ◽  
Alena Alekssevna Kovalenko ◽  
Phedor Mikhailovich Skudar

In the article the simulation model of the automated system of quality management of endothermic atmosphere for chemical and thermal treatment of metals is developed. A step-by-step description of the algorithm implementation is given and an example of the proposed method application is given. The results of the development can be used in the design of automated control systems.


Author(s):  
Peter Van Aken ◽  
Cris DeWitt ◽  
Pat Slagle

The maritime and offshore industries are increasingly reliant on integrated computer-based control systems and the associated software that actually ‘runs’ the systems. Industrial computers and the software they run are controlling exponentially more rig functions than ever before with increasingly more complex coding for expanded functionality. Ultimately, introduction of these complex systems into safety, environmental and operational functions have a significant impact on rig performance—software quality management is becoming a primary contributor to the overall performance of a rig.


Author(s):  
Zulnaidi Yaacob

This chapter discusses the results of an investigation into the effects of control systems on organizational performance within the context of Quality Management (QM). Data were collected using questionnaires from 205 managers within local authority organizations in Malaysia. Respondents were selected using stratified random sampling, and the data was analyzed using two computer software programs: SPSS and AMOS. The findings demonstrate the existence of a significant effect for Quality Management Control Systems (QMCS) on employee satisfaction, innovation, and cost benefit. Although the direct effect of QMCS on customer satisfaction was insignificant, this relationship was mediated by the dimensions of employee satisfaction and cost benefit. In summary, this chapter provides evidence for the significant role performed by control systems as a source for performance improvement within QM-organizations. In addition, this study reveals that the relationship between control systems and performance is not a simple and direct relationship but rather a structural relationship.


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