scholarly journals Modeling Simulation and Maintenance Strategy Optimization of Multi-component System

2021 ◽  
Vol 2068 (1) ◽  
pp. 012032
Author(s):  
Yujun Ma ◽  
Yan Zhou
Keyword(s):  
System Reliability ◽  
Dynamic Environment ◽  
Working Environment ◽  
Simulation Algorithm ◽  
System Operation ◽  
Maintenance Strategies ◽  
Modeling Simulation ◽  
Actual Operation ◽  
Multi Component System

Abstract As the system tends to be complicated and refined, the probability and cost of failure also increase. In the actual operation and production, the system will be affected by various factors such as temperature, humidity and other factors to change their original working environment, which will have greater impact on the reliability of the system. Based on the reliability theory, this paper mainly studies the k-out-of-n: F system, constructs the reliability model of the system in dynamic environment, gives the simulation algorithm of the system reliability. Finally, this paper puts forward two maintenance strategies which are optimized to achieve the purpose of minimizing the long-term average cost during system operation.

Multiteam systems as integrated networks for engaging ambidexterity as dynamic capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benjamin P. Dean
Keyword(s):  
Dynamic Capabilities ◽  
Dynamic Environment ◽  
Task Demands ◽  
Organizational Level ◽  
Future Research ◽  
Integrated Networks ◽  
Content Type ◽  
Systems Model ◽  
Near Term

PurposeThis inquiry aims to determine the features and mechanisms that specially enable a multiteam system (MTS) to develop ambidexterity that can deal effectively with rapid changes in dynamic environments. The MTS is an emerging organizational unit comprised of tightly integrated networks of teams that may originate from one or more firms. The inquiry also considered how an MTS can engage those features and mechanisms to maximize ambidexterity as dynamic capabilities for increased innovation and long-term adaptation under complex, volatile conditions.Design/methodology/approachThis conceptual inquiry integrates the emerging research on MTSs with theory and studies relating to ambidexterity and dynamic capabilities. This inquiry focuses on the attributes and linkages that specially characterize an MTS. It analyzes these to determine the key mechanisms and interactions enabling and engaging ambidexterity at MTS unit level.FindingsMTSs can engage powerful mechanisms for ambidexterity functioning as dynamic capabilities at meso-organizational level. The attributes and linkages that distinguish an MTS from other units enable it to deal effectively and efficiently with near-term task demands by simultaneously balancing the essential tasks of exploration and exploitation, and by being able to rapidly adapt by reconfiguring taskwork and reallocating resources as required for sustainable innovation and long-term success within a dynamic environment.Practical implicationsThis inquiry provides valuable insights for designing MTSs that are equipped with selected teams, flexible memberships, specialized skills and permeable interfaces. Autonomy for an MTS allows the unit to span internal and external organizational boundaries to gain access to new discoveries and to exchange information and material resources for increased innovation. Ambidexterity as dynamic capabilities facilitates exploitation of current resources by efficiently reconfiguring taskwork and reallocating materials for adaptation and competitive advantage.Originality/valueThis inquiry appears to represent the most integrative effort to examine the underexplored potential of MTSs for developing and engaging ambidexterity functioning as dynamic capabilities. The inquiry appears to be a first effort at articulating a concept of MTS ambidexterity distinct from organizational ambidexterity. The analysis synthesizes a systems model that guides organizational leaders and opens new opportunities for future research.

scholarly journals Reliability Based Task Allocation Analysis for Multi-Robot Systems by Using Fuzzy Logic

2018 ◽  
pp. 8-12
Author(s):  
Muhammed Oguz Tas ◽  
Ugur Yayan ◽  
Hasan Serhan Yavuz ◽  
Ahmet Yazici
Keyword(s):  
Fuzzy Logic ◽  
Task Allocation ◽  
System Reliability ◽  
Fuzzy Inference ◽  
Autonomous Robots ◽  
Robotic Systems ◽  
Inference System ◽  
Load Carrying ◽  
Robot Systems

Robotic systems are used many areas where it is dangerous or difficult for people to do. The importance of autonomous robots increased with the Industry 4.0, and the concept of reliability needed more attention for long term operability of robotic systems. In this study, reliability based task allocation analysis is performed for robots by using fuzzy logic. With the help of fuzzy inference system, the result of reliability based task allocation are obtained using the amount of carried load and load carrying distances. In the study, cases of task allocation based on nearest and reliability were analyzed and compared. Experimental results showed that, the system reliability that occurs with reliability based task allocation is higher than the system reliability that occurs with nearest based task allocation.

Working from home and long-term housing wealth inequality in large cities of advanced economies

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Reza Tajaddini ◽  
Hassan F. Gholipour ◽  
Amir Arjomandi
Keyword(s):  
Wealth Inequality ◽  
Developed Countries ◽  
Housing Demand ◽  
Working Environment ◽  
Housing Wealth ◽  
Content Type ◽  
Large Cities ◽  
Working From Home ◽  
Advanced Economies

Purpose The purpose of this study is to explain the potential long-term impacts of working from home on housing wealth inequality in large cities of advanced economies. Design/methodology/approach This study is descriptive research and It supports the arguments by providing some emerging evidence from property markets in developed countries. Findings The authors argue that due to the unique nature of the COVID-19 crisis, it will have a different and long-term impact on housing wealth inequality. Changes in the working arrangements of many professionals will change the housing demand dynamic across different suburbs and may lead to a reduction of the housing wealth gap in the long term. In this paper, the authors propose five mechanisms that may impact housing wealth inequality. Research limitations/implications Long-term data is required to test the proposed conceptual model in this study and the effect of the COVID-19 pandemic on housing wealth across and within suburbs of large cities. Practical implications Policymakers and regulators may benefit from the discussions and suggestions provided in this study and consider the proposed avenues on how new changes in the working environment (remote working) may result in a reduction of housing wealth inequality. Originality/value This study presents a new perspective about the potential long-term impacts of working from home that is posed by the COVID-19 pandemic on housing wealth inequality in large cities of developed economies.

MULTIPLE INERTIAL SYSTEM OPERATION IN LONG TERM NAVIGATION

1962 ◽  
pp. 349-366
Author(s):  
Richard R. Palmer ◽  
Donald F. McAllister
Keyword(s):  
Inertial System ◽  
System Operation

Korean medication algorithm for depressive disorder (KMAP-DD) 2017: Maintenance treatment

2017 ◽  
Vol 41 (S1) ◽  
pp. S530-S530
Author(s):  
D.I. Jon ◽  
W. Kim ◽  
H.R. Wang ◽  
Y.S. Woo ◽  
J.S. Seo ◽  
...  
Keyword(s):  
Depressive Disorder ◽  
Maintenance Treatment ◽  
Treatment Strategies ◽  
First Episode ◽  
Psychotic Depression ◽  
Maintenance Strategies ◽  
Item Questionnaire ◽  
Competing Interest ◽  
Depressive Episodes

IntroductionThe international guideline for treating depression has been widely used.ObjectivesThe current study focused on the maintenance treatment section of the third revision of Korean Medication Algorithm for Depressive Disorder (KMAP-DD)MethodsA 44-item questionnaire was used to obtain the consensus of experts regarding pharmacological treatment strategies for depressive disorder. Of the 144 committee members, 79 psychiatrists responded to the survey. Each treatment strategy or treatment option was evaluated with the nine-point scale.ResultsMost clinicians answered to maintain both antidepressants (AD) and atypical antipsychotics (AAP) for psychotic depression in remission state. The duration of AD maintenance: from 19.8 weeks to 46.8 weeks for patients in remission of the first episode, from 34.8 weeks to 78.4 weeks for the second depressive episode, and long-term continuation for three or more depressive episodes. Aripiprazole was the most preferred AAP. The preferred doses of AD and AAP in maintenance treatment were about 75% and 50% of those in acute treatment The maintenance of AAP in the psychotic depression in remission was similar to the AD, although shorter and less.ConclusionsThe maintenance strategies of KMAP-DD 2017 were similar to those of KMAP-DD 2012. Most clinicians preferred to maintain AD for substantial duration after achieving remission. The maintenance of AAP was also preferred, but the duration was shorter than AD.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals A Fault-Signal-Based Generalizing Remaining Useful Life Prognostics Method for Wheel Hub Bearings

2019 ◽  
Vol 9 (6) ◽  
pp. 1080 ◽  
Author(s):  
Shixi Tang ◽  
Jinan Gu ◽  
Keming Tang ◽  
Rong Zou ◽  
Xiaohong Sun ◽  
...  
Keyword(s):  
Fatigue Damage ◽  
Remaining Useful Life ◽  
Working Environment ◽  
Short Term ◽  
Signal Model ◽  
Useful Life ◽  
Simplified Solution ◽  
Damage Type ◽  
Damage Types

The goal of this work is to improve the generalization of remaining useful life (RUL) prognostics for wheel hub bearings. The traditional life prognostics methods assume that the data used in RUL prognostics is composed of one specific fatigue damage type, the data used in RUL prognostics is accurate, and the RUL prognostics are conducted in the short term. Due to which, a generalizing RUL prognostics method is designed based on fault signal data. Firstly, the fault signal model is designed with the signal in a complex and mutative environment. Then, the generalizing RUL prognostics method is designed based on the fault signal model. Lastly, the simplified solution of the generalizing RUL prognostics method is deduced. The experimental results show that the proposed method gained good accuracies for RUL prognostics for all the amplitude, energy, and kurtosis features with fatigue damage types. The proposed method can process inaccurate fault signals with different kinds of noise in the actual working environment, and it can be conducted in the long term. Therefore, the RUL prognostics method has a good generalization.

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