ScholarWorks@Hongik: Park, Min jae

Detailed Information

Park, Min jae (박민재)

Business Administration (Business Administration)

Research Area: 경영학, 생산관리/품질경영, Business Administration, Product Management/Quality Management

Tel
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Failure time:7||Cost model:6||failure time:5||s perspective:5||Expected cost rate:5||Repair time threshold:4||expected cost rate:4||Renewable warranty:4||Six Sigma:3||AdaBoost:3||Minimal repair:3||preventive maintenance:3||Bivariate distribution:3||Lemon law:3||Preventive maintenance:3||Block replacement policy:3||Twodimensional warranty policy:3||field data:3||koutofn system:3||Refund:3||Warranty cost:3||Warranty servicing time:3||warranty cost:3||Optimal replacement age:3||Repair time:3||Quality Management:2||Hedonic Price Model:2||Maintenance cycle:2||Quality management:2||Field data:2||Maintenance policy:2||Warranty:2||Return on Assets:2||order statistic:2||Age replacement policy:2||COVID19:2||warranty servicing times:2||Availability:2||Art Price:2||total quality management:2||Repairreplacement policy:2||Machine Learning:2||Combined distribution:2||Optimal warranty period:2||renewable warranty:2||renewal process:2||minimal repair:2||repair time threshold:2||Secondhand product:2||Maximum Likelihood Estimation:1||Maximum likelihood estimation:1||Minimal repairreplacement warranty:1||Multicomponent system:1||Multicriteria decision model:1||Multiple Linear Regression:1||NelderMead method:1||NonInformative Prior Distribution:1||NonParametric Model:1||Nonparametric regression:1||Objectoriented software:1||Operational Planning:1||Optimal Production Time:1||Optimal inspection interval:1||Optimal maintenance policy:1||Optimal replacement policy:1||Order statistics:1||PID control:1||Partial collapse:1||Periodic preventive maintenance:1||Power law process:1||Power series class:1||Prediction:1||Preventive Maintenance:1||Probit mixed model:1||Propensity score matching:1||Pseudoconvexity:1||Quality control:1||Quantile Regression:1||Random Forests:1||Random variable:1||Reliability function:1||Renewal process:1||Renewing warranty:1||Repairfull refund:1||Repairtime threshold:1||Repeated measures:1||Replacement Service:1||Risk Measure:1||SARIMAX:1||Simulation:1||Simulation Output Analysis:1||Smoothing Spline Function:1||Stackelberg game:1||Standard &:1||Time Series:1||Total warranty cost:1||Twodimensional:1||Twofactor warranty:1||Twophase warranty:1||Used product:1||Vaccination Rate:1||Vtubshaped failure rate:1||Warranty Policy:1||Warranty Service:1||Warranty period:1||agebased warranty period:1||art price:1||autoregressive:1||big data:1||carbon capandtrade:1||channel distribution:1||component:1||consumption expenditures:1||cost:1||damping property:1||data mining:1||decision tree:1||deep learning:1||degradationshock dependence system:1||deviation rate:1||downtime:1||downtime cost:1||dynamic pricing:1||economic cost design:1||efficiency:1||ensemble:1||epidemic outbreak:1||extreme gradient boosting:1||failure cost:1||failure time distribution:1||fuzzy neural network:1||generalized age replacement policy:1||gradient boosting:1||incontrol condition:1||inspection interval:1||integrated process:1||lemon law:1||lot tolerance percent defective:1||manufacturer&apos:1||maximum likelihood estimation:1||minimal repairreplacement warranty:1||multicomponent system:1||multicriteria decision model:1||newsboy model:1||nonrenewing warranty:1||optimal control:1||optimal preventive replacement age:1||optimal replacement age:1||optimal warranty period:1||outofcontrol condition:1||poor’s 500:1||postwarranty period:1||power series class:1||preventive maintenance (PM):1||principle component analysis:1||proactive strategy:1||process control:1||process efficiency:1||product lifecycle:1||quick response:1||random defective rate:1||random forests:1||reliability:1||reliability function:1||renewal theory:1||repair warranty:1||repairreplacement policy:1||repairreplacement strategy:1||replacement policy:1||replacement warranty:1||replacementrepair warranty:1||return prediction:1||risk cost:1||software maintainability prediction:1||statistical technique:1||strategic perspective:1||sustainable growth:1||sustainable operation management:1||total warranty cost:1||twodimensional warranty:1||twodimensional warranty policy:1||vtubshaped failure rate:1||도해법:1||뮬레이션 결과 분석:1||이변량 척도:1||#8217:1||확률적 제약:1||2D:1||Agebased warranty period:1||Art Return:1||Artwork Price:1||Bayesian Method:1||Bivariate Distributions:1||Bivariate Measures:1||Block Replacement:1||Block replacement policy (BRP):1||BoxCox Transformation:1||Chance Constraint:1||Classifiers:1||Cost Model:1||Cost and profit:1||Customer&apos:1||Data mining:1||Dealer&:1||Dealer&apos:1||Deep Learning:1||Deterioration:1||Downtime:1||Downtime cost:1||Economic Production Quantity:1||Economic production lotsize:1||Emergency Medical Center:1||European carbon emission:1||Expected Cost Rate:1||Expected warranty cost:1||Extended warranty:1||Failure cost:1||Field Data:1||Financial Performance:1||Financial performance:1||Forecasting:1||Graphical Method:1||Imperfect Production Process:1||Knearest Neighbor:1||Koutofn system:1||Korean Lemon Law:1||LSTM:1||Longitudinal data:1||Maintenance:1||Maintenance period:1||Manufacturer&apos:1||Manufacturer’s Perspective:1||Manufacturer’s perspective:1||Marcov Chain Monte Carlo:1||Masterpiece Effect:1||

STATISTICS: Total View :2,193,454; Today View :1,460

RSS_1.0 RSS_2.0 ATOM_1.0

94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE