Decision Making in Engineering Management Systems with Multiple Uncertainties

2016 ◽  
Author(s):  
Guest Editor Jianping Du
Keyword(s):  
Decision Making ◽  
Engineering Management ◽  
Management Systems ◽  
Multiple Uncertainties

Mechanical Handling Engineers—A Case for Engineering Management with Style

1988 ◽  
Vol 202 (3) ◽  
pp. 171-175
Author(s):  
T W Batley
Keyword(s):  
Mechanical Engineer ◽  
Decision Making ◽  
New Zealand ◽  
Future Development ◽  
Business Management ◽  
Profit Sharing ◽  
Engineering Management ◽  
Engineering Company ◽  
Mechanical Handling

This case study concerns a mechanical engineer who has strong views on business management. He purchased a small engineering company in Dunedin, New Zealand, and put into practice his managerial philosophies of worker participation in decision-making and profit-sharing. The paper reviews the progress of the company during its first three years and then discusses the options for its future development.

Qualitative simulation of organization quality specific immune decision-making of manufacturing enterprises based on QSIM algorithm simulation

2021 ◽  
pp. 1-18
Author(s):  
Qiang Liu ◽  
Xiaoli Qu ◽  
Danyu Zhao ◽  
Yu Guo
Keyword(s):  
Decision Making ◽  
Simulation Method ◽  
Engineering Management ◽  
Decision Variable ◽  
Science And Engineering ◽  
Qualitative Simulation ◽  
Manufacturing Enterprises ◽  
Decision Variables ◽  
Organization Quality ◽  
Simulation Results

Quality is the core of the enterprise, strengthening organization quality specific immune is the key channel. Organization quality specific immune belongs to science and engineering management field, QSIM qualitative simulation method that refer to computational simulation algorithm is widely used in the science and engineering management field, QSIM qualitative simulation method can solve science and engineering management issues effectively. In this study, qualitative simulation QSIM theory is used to analyze and reason the organization quality specific immune decision of manufacturing enterprises. Combined with the pressure-state-response framework, the management mechanism of organization quality specific immune is analyzed according to state variables, decision variables, system variables and environment variables, and further the qualitative simulation rules for organization quality specific immune decision-making are set according to the causal relationships among variables of organization quality specific immune. This study sets organization quality monitor, organization quality defense and organization quality memory as the decision variables, uses QSIM algorithm for simulating organization quality specific immune decision-making reasoning, compares with the influences of single decision variable and multi-decision variables on organization quality specific immune system through simulation results. Simulation results indicate that QSIM algorithm simulation can be used to simulate and reason organization quality specific immune decision-making in order to help manufacturing enterprises reasonably enhance organization quality specific immune performance and quality performance through three decision variables of organization quality monitor, organization quality defense and organization quality memory. The simulation results will provide new revelation for organization quality specific immune decision-making of manufacturing enterprises.

Hospital Units Merging Reasons for Conflicts in the Human Resources

2016 ◽  
pp. 202-227
Author(s):  
Athanasia Stamatopoulou ◽  
Eleni Stamatopoulou ◽  
Denis Yannacopoulos
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Human Resources ◽  
Health Care System ◽  
Management Systems ◽  
Ministry Of Health ◽  
Negative Results ◽  
Hospital Units ◽  
The Government ◽  
Of Greece

The necessity for the control of expenses of health and the reduction of cost, led the Ministry of Health and the government of Greece to the decision-making for fusions of hospitals units of health following the new tendency of health's policy that prevails also in other countries. The research purpose was to appoint the positive and negative results from the fusions of hospitals. Any changes in the health care system aim at the reduction of expenses, however, they constitute the most frequent causes of conflicts among employees. The Hospital is characterized as a natural space for the growth of conflicts. Despite the oppositions that are recorded as for the positive and negative results, it appears finally that through the fusions, resources have been saved, management systems have been improved but in the same time, conflicts in the labour place between the individuals and the teams recruiting hospitals have been aggravated.

Knowledge Management Systems Characteristics That Support Knowledge Sharing and Decision-Making Processes in Organizations

2021 ◽  
pp. 182-200
Author(s):  
Mahmoud Abdelrahman ◽  
Firas Masri ◽  
Dimitra Skoumpopoulou
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Conceptual Framework ◽  
Knowledge Sharing ◽  
Management Systems ◽  
Management Decision ◽  
Knowledge Management Systems ◽  
Structured Interviews ◽  
Public And Private ◽  
Management Decision Making

With the advent of the knowledge economy and the growing importance of knowledge societies, organizations are constantly seeking new ways of leveraging and sharing knowledge to support decision-making (DM) processes. This chapter presents an initial insight to the little-researched phenomenon of how knowledge management systems (KMSs) can facilitate knowledge sharing (KS) to support DM processes in organizations. In this chapter, authors aim to extend the existing literature of knowledge management, decision making, and knowledge sharing by proposing a new conceptual framework, namely “ECUA” (easiness, communication, unification, and analytics characteristics). In this study, 42 semi-structured interviews have been conducted. The proposed conceptual framework will benefit managers in both public and private sectors in finding new ways of leveraging and sharing knowledge to support DM processes via using KMSs. This framework can be used to explore KMSs characteristics that can support DM processes by facilitating knowledge sharing in organizations.

Ubiquitous Eco Cities

2010 ◽  
Vol 2 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Tan Yigitcanlar ◽  
Jung Hoon Han
Keyword(s):  
Decision Making ◽  
Urban Development ◽  
21St Century ◽  
Integrated Management ◽  
Location Based Services ◽  
Management Systems ◽  
Urban Management ◽  
Telecommunication Infrastructure ◽  
Decision Making System ◽  
Technology Convergence

Efficient and effective urban management systems for Ubiquitous Eco Cities require having intelligent and integrated management mechanisms. This integration includes bringing together economic, socio-cultural and urban development with a well-orchestrated, transparent and open decision-making system and necessary infrastructure and technologies. In Ubiquitous Eco Cities, telecommunication technologies play an important role in monitoring and managing activities via wired and wireless networks. Particularly, technology convergence creates new ways in which information and telecommunication technologies are used and formed the backbone of urban management. The 21st century is an era where information has converged, in which people are able to access a variety of services, including internet- and location- based services, through multi-functional devices and provides new opportunities in the management of Ubiquitous Eco Cities. This paper discusses developments in telecommunication infrastructure and trends in convergence technologies and their implications on the management of Ubiquitous Eco Cities.

The Evaluation Cycle Management - Method Applied to the Evaluation of Learning Management Systems

2010 ◽  
pp. 58-80
Author(s):  
Matija Pipan ◽  
Tanja Arh ◽  
Borka Jerman Blažic
Keyword(s):  
Decision Making ◽  
Usability Testing ◽  
Learning Management Systems ◽  
Management Systems ◽  
Second Phase ◽  
Hierarchical Decision ◽  
Multi Attribute Decision Making ◽  
Learning Management ◽  
Hierarchical Decision Model ◽  
Evaluation Of Learning

The chapter deals with a complex decision-making problem, the selection and evaluation of Learning Management Systems (LMS) in which several objectives - referring to the definite group of users - like social, technical, environmental, and economic impacts, must be simultaneously taken into account. We introduce Evaluation Cycle Management (ECM), a support methodology aimed at the evaluation of options that occur in the decision-making processes. ECM is based on Multi-attribute decision making (Criteria Evaluation) and Usability Testing (Usability Evaluation). The Multi-attribute decision making in the first phase of ECM presents an approach to the development of a qualitative hierarchical decision model that is based on DEX, an expert system shell for multi-attribute decision support. The second phase of ECM is aimed at Usability Testing on end users. ECM illustrates its usefulness by showing its main features and its application to the above problem. It is based on the theoretical and practical expertise related to the quality and usability assurance of LMS.

Using Learning Management Systems to Promote Online Instruction

2020 ◽  
pp. 123-150
Author(s):  
Vaughn Malcolm Bradley
Keyword(s):  
Decision Making ◽  
Professional Training ◽  
Academic Progress ◽  
Learning Management Systems ◽  
Management Systems ◽  
Online Classroom ◽  
Learner Engagement ◽  
Inclusive Learning ◽  
Learning Mathematics ◽  
Learning Management

Learning management systems (LMS) reinforce the learning process through online classroom environments. A standard LMS supports an inclusive learning environment for academic progress with interceding structures that promote online collaborative-groupings, professional training, discussions, and communication among other LMS users. Instructors should balance active learning with the use of LMS technological resources and the use of guidelines from the qualified curriculum. As Murcia stated regarding online environments in 2016, instructors can use an LMS to facilitate and model discussions, plan online activities, set learning expectations, provide learners with options, and assist in problem-solving and decision making, supporting learner engagement through their presence in the LMS; facilitators allow students to retain their autonomy, enthusiasm, and motivation. It is vital that stakeholders of the educational community find scientific studies to support their contributions in LMS platforms to assist scholars in learning mathematics and other academic subjects

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