Quality‐Related Decision Making: A Study in Six British Companies

1985 ◽  
Vol 5 (1) ◽  
pp. 15-25 ◽  
Author(s):  
B.G. Dale ◽  
A.J. Duncalf
Keyword(s):  
Decision Making ◽  
Quality Management ◽  
Chief Executive ◽  
Management Policy ◽  
Market Feedback ◽  
Made In

Without a formulated quality management policy and a direct lead from the chief executive, companies are unlikely to be able to effectively co‐ordinate quality‐related decision making; consequently, the approach to quality tends to be inspection orientated. Results of a study on how quality‐related decisions are made in six companies also suggests that the involvement of quality staff in design, purchasing and market feedback is vital, ensuring that quality‐related decision making is effective and consistent with policy.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

Evidence-based Assessment

2010 ◽  
pp. 76-98
Author(s):  
John Hunsley ◽  
Eric J. Mash
Keyword(s):  
Decision Making ◽  
Clinical Assessment ◽  
Assessment Process ◽  
Evidence Based ◽  
The Past ◽  
Specific Assessment ◽  
The Many ◽  
Selection Of ◽  
Made In

Evidence-based assessment relies on research and theory to inform the selection of constructs to be assessed for a specific assessment purpose, the methods and measures to be used in the assessment, and the manner in which the assessment process unfolds. An evidence-based approach to clinical assessment necessitates the recognition that, even when evidence-based instruments are used, the assessment process is a decision-making task in which hypotheses must be iteratively formulated and tested. In this chapter, we review (a) the progress that has been made in developing an evidence-based approach to clinical assessment in the past decade and (b) the many challenges that lie ahead if clinical assessment is to be truly evidence-based.

Participative work design in lean production

2015 ◽  
Vol 27 (1) ◽  
pp. 19-33 ◽  
Author(s):  
Annika Lantz ◽  
Niklas Hansen ◽  
Conny Antoni
Keyword(s):  
Decision Making ◽  
Team Learning ◽  
Lean Production ◽  
Job Design ◽  
Learning Processes ◽  
Management Policy ◽  
Shop Floor ◽  
Content Type ◽  
Proactive Behaviour ◽  
The Relationship

Purpose – The purpose of this paper is to explore job design mechanisms that enhance team proactivity within a lean production system where autonomy is uttermost restricted. We propose and test a model where the team learning process of building shared meaning of work mediates the relationship between team participative decision-making, inter team relations and team proactive behaviour. Design/methodology/approach – The results are based on questionnaires to 417 employees within manufacturing industry (response rate 86 per cent) and managers’ ratings of team proactivity. The research model was tested by mediation analysis on aggregated data (56 teams). Findings – Team learning mediates the relationship between participative decision-making and inter team collaboration on team proactive behaviour. Input from stakeholders in the work flow and partaking in decisions about work, rather than autonomy in carrying out the work, enhance the teams’ proactivity through learning processes. Research limitations/implications – An investigation of the effects of different leadership styles and management policy on proactivity through team-learning processes might shed light on how leadership promotes proactivity, as results support the effects of team participative decision-making – reflecting management policy – on proactivity. Practical implications – Lean production stresses continuous improvements for enhancing efficiency, and such processes rely on individuals and teams that are proactive. Participation in forming the standardization of work is linked to managerial style, which can be changed and developed also within a lean concept. Based on our experiences of implementing the results in the production plant, we discuss what it takes to create and manage participative processes and close collaboration between teams on the shop floor, and other stakeholders such as production support, based on a shared understanding of the work and work processes. Social implications – Learning at the workplace is essential for long-term employability, and for job satisfaction and health. The lean concept is widely spread to both public bodies and enterprises, and it has been shown that it can be linked to increased stress and an increase in workload. Finding the potential for learning within lean production is essential for balancing the need of efficient production and employees’ health and well-being at work. Originality/value – Very few studies have investigated the paradox between lean and teamwork, yet many lean-inspired productions systems have teamwork as a pillar for enhancing effectiveness. A clear distinction between autonomy and participation contributes to the understanding of the links between job design, learning processes and team proactivity.

Multi-criteria Decision-making Applications Based on Set Valued Generalized Neutrosophic Quadruple Sets for Law

2021 ◽  
pp. 41-60
Author(s):  
Necmiye Merve Sahin ◽  
◽  
◽  
Merve Sena Uz
Keyword(s):  
Decision Making ◽  
Similarity Measure ◽  
Point Of View ◽  
Multi Criteria Decision Making ◽  
Legal Decisions ◽  
The Law ◽  
Made In

In this article, an algorithm has been introduced that enables judges to see the decisions that should be made in a way that is closest to the conscience and the law, without transferring the cases to the higher authorities, without anyone objecting to their decisions. This algorithm has been introduced depending on the generalized set-valued neutrosophic quadruple numbers and the Euclidean similarity measure in sets, what the decision is made by considering all the situations, regardless of which case the defendants come before the judge, how similar these decisions are to the legal decisions that should be made. In this way, we can easily see the decisions given to the accused in all kinds of cases, and we can arrange the decisions according to the similarity value. The closer the similarity value is to 1, the more correct the judge's decision from a legal point of view.

Decision making in Dutch coastal research based on coastal management policy assumptions

2020 ◽  
Author(s):  
Quirijn J. Lodder ◽  
Jill H. Slinger ◽  
Zheng Bing Wang ◽  
Carola van Gelder
Keyword(s):  
Decision Making ◽  
Coastal Management ◽  
Management Policy ◽  
Coastal Research

Drilling Data Quality Management: Case Study With a Laboratory Scale Drilling Rig

2018 ◽  
Author(s):  
Suranga C. H. Geekiyanage ◽  
Dan Sui ◽  
Bernt S. Aadnoy
Keyword(s):  
Decision Making ◽  
Quality Improvement ◽  
Control System ◽  
Data Analysis ◽  
Quality Management ◽  
Data Quality ◽  
Incomplete Data ◽  
Laboratory Scale ◽  
Data Quality Management ◽  
Drilling Rig

Drilling industry operations heavily depend on digital information. Data analysis is a process of acquiring, transforming, interpreting, modelling, displaying and storing data with an aim of extracting useful information, so that the decision-making, actions executing, events detecting and incident managing of a system can be handled in an efficient and certain manner. This paper aims to provide an approach to understand, cleanse, improve and interpret the post-well or realtime data to preserve or enhance data features, like accuracy, consistency, reliability and validity. Data quality management is a process with three major phases. Phase I is an evaluation of pre-data quality to identify data issues such as missing or incomplete data, non-standard or invalid data and redundant data etc. Phase II is an implementation of different data quality managing practices such as filtering, data assimilation, and data reconciliation to improve data accuracy and discover useful information. The third and final phase is a post-data quality evaluation, which is conducted to assure data quality and enhance the system performance. In this study, a laboratory-scale drilling rig with a control system capable of drilling is utilized for data acquisition and quality improvement. Safe and efficient performance of such control system heavily relies on quality of the data obtained while drilling and its sufficient availability. Pump pressure, top-drive rotational speed, weight on bit, drill string torque and bit depth are available measurements. The data analysis is challenged by issues such as corruption of data due to noises, time delays, missing or incomplete data and external disturbances. In order to solve such issues, different data quality improvement practices are applied for the testing. These techniques help the intelligent system to achieve better decision-making and quicker fault detection. The study from the laboratory-scale drilling rig clearly demonstrates the need for a proper data quality management process and clear understanding of signal processing methods to carry out an intelligent digitalization in oil and gas industry.

A Stochastic Approach to Risk Management and Decision Making in Defined Benefit Pension Schemes

2003 ◽  
Vol 9 (3) ◽  
pp. 493-586 ◽  
Author(s):  
S. Haberman ◽  
C. Day ◽  
D. Fogarty ◽  
M. Z. Khorasanee ◽  
M. McWhirter ◽  
...  
Keyword(s):  
Decision Making ◽  
Performance Measures ◽  
Asset Allocation ◽  
Stochastic Approach ◽  
Free Variable ◽  
Defined Benefit ◽  
Contribution Rate ◽  
And Performance ◽  
Allocation Decisions ◽  
Made In

ABSTRACTThe trustees and sponsors of defined benefit schemes rely on the advice of the Scheme Actuary to make important decisions concerning the funding of the scheme, the investment of its assets, and the use of surplus assets to improve benefits. These decisions have to be made in the face of considerable uncertainty about financial and demographic factors that will affect the future experience of the scheme and its success in meeting various objectives.The traditional actuarial valuation combined with actuarial judgement has played an important role in guiding decision making; but we argue that stochastic methods can add value in certain crucial areas, in particular the financial risk management of defined benefit schemes. Rather than dealing with risk by incorporating margins in the valuation basis, a stochastic approach allows the actuary to evaluate specific and quantifiable risk and performance measures for alternative funding and investment strategies.This paper recommends a framework that, when combined with a suitable stochastic model, measures the risks inherent in contribution rate and asset allocation decisions, allowing better decisions to be made. In doing this, we suggest and apply various risk and performance measures that may be thought appropriate, although our intention is to illustrate their use rather than prescribe them as objective standards. The framework provides the means to explore the trade-offs involved in possible contribution and asset allocation decisions, and points to decision strategies expected to give improved outcomes for the same level of risk. A feature of the approach that marks it out from current asset/liability techniques is that it examines the funding and investment decisions together. It does not derive a contribution rate in the traditional way, but leaves this as free variable, in the same way that the investment decision is taken to be a free variable. Another distinctive feature of our framework is that it is based on projection rather than on valuation, involving stochastic simulation of the experience of the scheme over a time horizon reflecting the concerns of the trustees and the sponsoring employer.The paper provides a case study (based on a model final salary pension scheme) showing the advantages of the framework, and goes on to explain how the results may practically be communicated to trustees and scheme sponsors.

scholarly journals PENERAPAN SISTEM MANAJEMEN MUTU BERDASARKAN STANDAR ISO 9001 : 2005

2018 ◽  
Vol 13 (1) ◽  
pp. 1-9
Author(s):  
Shakina Nur Fitriyna ◽  
Lenggogeni Lenggogeni ◽  
R. Eka Murtinugraha
Keyword(s):  
Quality Management ◽  
Human Resources ◽  
Construction Management ◽  
Management System ◽  
Quality Management System ◽  
Development Project ◽  
Iso 9001 ◽  
Management Consultant ◽  
Questionnaire Form ◽  
Made In

This study aims to find out how the implementation of quality management system based on clause in ISO 9001: 2015 on podomoro golf project development project cimanggis with PT. Wijaya Karya Building Building as a contractor. This study is descriptive using clauses in ISO 9001: 2015 as a way of knowing the implementation of quality management system from owner, construction management consultant, and contractor, with questionnaire form about application of field. Questions are made in clauses 4 to clause 10 in ISO 9001: 2015.The results in this study indicate that the implementation of quality management system based on clause in ISO 9001: 2015 from the owner is "Rarely" applied with the percentage of assessment between 50% to 74.99%. The construction management consultant is "Always" applied to the assessment percentage of 75% to 100%. From the contractor's side is "Always" applied with the percentage of valuation between 75% to 100%. From these results obtained factors - factors that become constraints on the implementation of quality management system based on clauses in ISO 9001: 2015, the method or procedure, human resources (HR), and implementation or operational work.

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