scholarly journals Special issue: Resource-saving and environment-friendly (two oriented) engineering management and decision making

2019 ◽  
Vol 6 (4) ◽  
pp. 463-466
Author(s):  
Xiaohong Chen ◽  
Jinnan Wang ◽  
Shenggang Ren
Keyword(s):  
Decision Making ◽  
Engineering Management ◽  
Special Issue ◽  
Resource Saving ◽  
Environment Friendly

scholarly journals Healthcare Data for Achieving a More Personalized Treatment of Chronic Kidney Disease

Biomedicines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 488
Author(s):  
Francisco Herrera-Gómez ◽  
F. Javier Álvarez
Keyword(s):  
Chronic Kidney Disease ◽  
Decision Making ◽  
Kidney Disease ◽  
Prognostic Markers ◽  
Observational Evidence ◽  
Personalized Treatment ◽  
Special Issue ◽  
Healthcare Data ◽  
Clinical Endpoints ◽  
Risk Patients

The current concept of healthcare incites a more personalized treatment of diseases. To this aim, biomarkers are needed to improve decision-making facing chronic kidney disease (CKD) patients. Prognostic markers provided by real-world (observational) evidence are proposed in this Special Issue entitled “Biomarkers in Chronic Kidney Disease”, with the intention to identify high-risk patients. These markers do not target measurable parameters in patients but clinical endpoints that may be in turn transformed to benefits under the effect of future interventions.

Expanding Foresight Evaluation Capacity

2019 ◽  
Vol 11 (4) ◽  
pp. 287-291
Author(s):  
Annette L. Gardner ◽  
Peter Bishop
Keyword(s):  
Decision Making ◽  
Professional Practice ◽  
Health Sector ◽  
Systematic Evaluation ◽  
Special Issue ◽  
Scenario Development ◽  
Evaluation Capacity ◽  
The Subject ◽  
Evaluation Approaches

The subject of evaluating foresight work has been around for almost as long as the professional practice itself has, but the field has done little to move closer to a systematic evaluation of its work. This special issue marks the second collection of articles on that project after a special issue of Futures in 2012 (Van Der Duin and Van Der Martin 2012). This issue takes a three-part approach: Part 1: evaluation of foresight in general and evaluation approaches and methods that can support designing an appropriate evaluation; Part 2: evaluation of foresight work in organizations and its impact on long-term thinking and decision-making; and Part 3: evaluation of specific foresight activities—an undergraduate learner foresight experience and a health sector scenario development exercise. The foreword ends with a reflection on the continuing issue of foresight and evaluation.

scholarly journals Editorial for Special Issue: “Feature Papers of Forecasting”

Forecasting ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 135-137
Author(s):  
Sonia Leva
Keyword(s):  
Decision Making ◽  
Special Issue ◽  
Decision Making Processes

Nowadays, forecasting applications are receiving unprecedent attention thanks to their capability to improve the decision-making processes by providing useful indications.[...]

scholarly journals Climate, disaster and risk: introduction

2021 ◽  
Vol 9s8 ◽  
pp. 1-4
Author(s):  
Simon Goldhill ◽  
Georgie Fitzgibbon
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Sustainable Development ◽  
Special Issue ◽  
Full Spectrum ◽  
Changing Climate ◽  
Negative Impacts ◽  
Climate Disasters ◽  
Climate Disaster

This special issue focuses on the intersections of climate, disasters, and development. The research presented here is designed to facilitate climate-resilient decision-making, and promote sustainable development by maximising the beneficial impacts of responses to climate change and minimising negative impacts across the full spectrum of geographies and sectors that are potentially affected by the changing climate.

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.

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