Yuehwern Yih | Purdue University (original) (raw)
Papers by Yuehwern Yih
IISE Transactions, 2019
Abstract For provision of platelets in humanitarian relief operations, due to the excessive numbe... more Abstract For provision of platelets in humanitarian relief operations, due to the excessive number of non-coordinated organizations, relief response times and corresponding costs of platelets sharply increase. This article proposes a two-phase mechanism to coordinate two heterogeneous relief organizations (i.e., relief and rescue organization of the Red Crescent Society and a blood transfusion organization) in a decentralized network in such a way that its own interests and objectives are also satisfied. The blood transfusion organization tries to minimize the wastage level of platelets considering related total costs. At the same time, the relief and rescue organization decides on the selection of shelters where the platelets can be administered to injured people, while minimizing total relief time. Thus, first a bi-level mixed integer linear model under the demand and supply uncertainties is developed (phase 1), and then a capacity-sharing coordination mechanism based on the collaborative control theory is proposed (phase 2). To solve large-scale instances, a fuzzy Kth-Best algorithm is developed to solve the first phase and then phase 2 is solved by the proposed coordination mechanism. We compare our model to centralized relief logistics model using a data set for a possible earthquake in Tehran, Iran. Results show that our model reduces shortage and wastage compared with the centralized model
Value in Health
Epidemiology, and End Results (SEER) cancer registry linked with Medicare claims. Recursive featu... more Epidemiology, and End Results (SEER) cancer registry linked with Medicare claims. Recursive feature elimination with random forest was used to extract the optimal number of predictors out of 119 likely ones for predictive modeling. eXtreme Gradient Boosting (XGBoost), SHapley Additive exPlanations (SHAP), and global feature importance were used to identify the leading predictors and their associations with opioid combination therapy. SAS 9.4 was used for data management and Python 3.9.7 was used for machine learning model calibration and tuning. Results: Specificity (0.858), sensitivity (0.843), and area under the curve (AUC, 0.85) of our predictive model were high. Thirty-four features were included in the final predictive model. Baseline use of NSAIDs, opioids, benzodiazepines, and gabapentinoids, and chemotherapy, surgery, Complex relationships were observed between zip code percent of Hispanic and Native American residents living below poverty, care fragmentation (FCI), age at diagnosis, and opioid combination therapy. Conclusions: 1 in 3 older cancer survivors were prescribed opioid combination therapy. Patient-level baseline medication use, biological factors, cancer treatment, and zip code level social determinants were leading predictors of opioid combination therapy. Although observed relationships were complex, further analysis of predictors may help compute individual risk of patients on combination therapy, which in turn may help clinicians and policy makers utilize targeted interventions at the outset and prevent long-term effects of combination pain therapy such as prolonged and inappropriate use.
International Journal of Production Research, 1998
This paper studies the dynamic control of kanbans in a generic kanban system. A generic kanban sy... more This paper studies the dynamic control of kanbans in a generic kanban system. A generic kanban system originating from the Toyota kanban system is a production control scheme in dynamic environments with variable demands and processing times. A dynamic kanban control approach is proposed to determine the number of kanbans used in the system. This approach includes two major functions: example extraction and fuzzy system generation. Examples are generated from simulation and desired examples are collected. Fuzzy rule-based systems are generated from desired examples to dynamically adjust the number of kanbans. Experiments are conducted to evaluate the proposed approach. The generated fuzzy systems are examined on the training process and its feasibility in general situations. This approach is also compared with the simulated annealing approach under the same system status. Both approaches yield similar system performance. The fuzzy system approach, however, is preferred because it does not require the prio...
Applied clinical informatics, 2010
Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing... more Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing patient-specific reminders at the point of care. However, adherence varies between individual CCRs and is correlated to resolution time amongst other factors. This study aimed to evaluate how a proposed CCR redesign providing information explaining why the CCRs occurred would impact providers' prioritization of individual CCRs. Two CCR designs were prototyped to represent the original and the new design, respectively. The new CCR design incorporated a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter. Sixteen physicians participated in a controlled experiment to compare the use of the original and the new CCR systems. The subjects individually simulated a scenario-based patient encounter, followed by a semi-structured interview and survey. We collected and analyzed the order in which the CCRs were prioritized, the perceived usefulness of eac...
2016 IEEE Global Humanitarian Technology Conference (GHTC), 2016
Procedia CIRP
Abstract For many countries, the transportation sector plays a critical role in the economy. Unfo... more Abstract For many countries, the transportation sector plays a critical role in the economy. Unfortunately, transportation contributes significantly to greenhouse gas (GHG) emissions. In the United States, there exists a very developed end of life (EoL) infrastructure for conventional internal combustion engine (ICE) vehicles. As the market for Electric Vehicles (EVs) grows, this EoL infrastructure will need to keep pace with the changing vehicle technologies. One reason why this is of particular concern is the use of several high value and critical materials that have been procured using several resource-intensive manufacturing processes. The lack of adequate EoL infrastructure will result in the wastage of several materials resulting in increasing environmental burdens and the possibility of supply chain risks. This paper proposes the use of industrial symbiosis (IS) and principles of waste hierarchy to minimize material wastage and environmental burdens. A short case study evaluating the potential environmental benefits of rerouting degraded EV Lithium-ion (Li-ion) batteries as feedstock in an alternative industry is presented and the resulting environmental benefits are estimated.
In the next 20 years, coal still is a major energy to promote China's economic growth and also a ... more In the next 20 years, coal still is a major energy to promote China's economic growth and also a main source of carbon emissions. Research of the economic relations among coal supply chain's carbon emissions, cost and benefit generated by the activities coupled with carbon emissions has an important significance for controlling coal supply chain's carbon emissions from an economic point. Firstly, we present a typical structural model of coal supply chain. Secondly, we analysis the relations among carbon emissions, cost and benefit of this structural model, and then construct a carbon emissions economic measurement (CEEM) model of coal supply chain. Our research shows that controlling coal supply chain's carbon emissions from an economic point can achieve good results.
1School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA 2 School of P... more 1School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA 2 School of Public Health-Resilient, Africa Network (RAN), Makerere University, Kampala, Uganda 3Management Science for Health, Medford, MA 02155, USA 4R B Annis School of Engineering, University of Indianapolis, Indianapolis, IN 46227, USA 5LASER PULSE (Long-term Assistance and SErvices for Research, Partners for University-Led Solutions Engine) Consortium, Purdue University, West Lafayette, IN 47907, USA
Journal of Manufacturing Systems
Rare earth permanent magnets (REPMs) play an essential role in various applications such as renew... more Rare earth permanent magnets (REPMs) play an essential role in various applications such as renewable energy production, and aerospace and defense related products. Rare earth elements (REEs) such as neodymium and dysprosium are used in REPMs, and the supply of these REEs has experienced volatility. To mitigate this risk, REEs may be recovered from end-of-life (EOL) products such as computer hard disk drives (HDDs). To facilitate REE/REPM recycling, this paper develops an operation and inventory management strategy to explore the profitability 1) under uncertain market supply and 2) with varying component/material values whose demand also faces significant uncertainties. The resulting strategy provides recommendations for the ordering and processing quantities associated with REPM containing products. An upper bound solution on the recovery profit was proposed to assess the performance of the developed strategy. We found that the proposed strategy helps increase the overall profit, and its performance is close to the upper bound. Finally, several scenarios were evaluated to examine how market conditions affect profit. To the best of authors' knowledge, this research is the first study on REPM recycling that provides a promising strategy to the relevant industry.
American Journal of Health-System Pharmacy
Purpose Results of a questionnaire-based study to evaluate smart infusion pump end users’ percept... more Purpose Results of a questionnaire-based study to evaluate smart infusion pump end users’ perceptions and understanding of the drug library update process are reported. Methods The Indianapolis Coalition for Patient Safety, Inc., in partnership with the Regenstrief Center for Healthcare Engineering, conducted a 33-item electronic, cross-sectional survey across 5 Indiana health systems from May through November 2017. Interdisciplinary participants identified for survey distribution included nurses, pharmacists, biomedical engineers, administrators, and medication safety officers. The survey assessed the following domains: patient safety, the drug library update process, knowledge of drug libraries and the update process, and end-user perceptions. Results A total of 778 submitted surveys were included in the data analysis, with a large majority of responses (90.2%) provided by nurses. The use of drug libraries for ensuring patient safety was deemed extremely important or important by ...
Risk Analysis
This study aimed to use healthcare professionals' assessments to calculate expected risk ... more This study aimed to use healthcare professionals' assessments to calculate expected risk of intravenous (IV) infusion harm for simulated high-risk medications that exceed soft limits and to investigate the impact of relevant risk factors. We designed 30 infusion scenarios for four high-risk medications, propofol, morphine, insulin, and heparin, infused in adult intensive care unit (AICU) and adult medical and surgical care unit (AMSU). A total of 20 pharmacists and 5 nurses provided their assessed expected risk of harm in each scenario. Descriptive statistics, analysis of variance with least square mean, and post hoc test were conducted to test the effects of field limit type, soft (SoftMax), and hard maximum drug limit types (HardMax), and care area-medication combination on risk of harm. The results showed that overdosing scenarios with continuous and bolus dose limit types were assessed with significantly higher risks than those of bolus dose rate type. An overdose infusion in AICU over a large SoftMax was assessed to be of higher risk than over a small one, but not in AMSU. For overdose infusions with three levels of drug amount, greater drug amount in AICU and AMSU was assessed to have higher risk, except insignificant risk difference between the infusions with higher and moderate drug amount in AMSU. This study obtained expected risk for simulated high-risk IV infusions and found that different field limit and SoftMax types can affect expected risk based on healthcare professionals' perspectives. The findings will be regarded as benchmarks for validating risk quantification models in future research.
Resources, Conservation and Recycling
Integrated Computer-Aided Engineering
ABSTRACT: A general framework to construct fuzzy rule systems automatically from given examples i... more ABSTRACT: A general framework to construct fuzzy rule systems automatically from given examples is proposed in this paper. The objective is to generate fuzzy systems with good mapping ability and generalization ability as well. The procedure consists of five steps. Cluster analysis of ...
International Journal of Operational Research
Women in Industrial and Systems Engineering
IISE Transactions on Healthcare Systems Engineering
American Journal of Gastroenterology
Journal of Medical Systems
IISE Transactions, 2019
Abstract For provision of platelets in humanitarian relief operations, due to the excessive numbe... more Abstract For provision of platelets in humanitarian relief operations, due to the excessive number of non-coordinated organizations, relief response times and corresponding costs of platelets sharply increase. This article proposes a two-phase mechanism to coordinate two heterogeneous relief organizations (i.e., relief and rescue organization of the Red Crescent Society and a blood transfusion organization) in a decentralized network in such a way that its own interests and objectives are also satisfied. The blood transfusion organization tries to minimize the wastage level of platelets considering related total costs. At the same time, the relief and rescue organization decides on the selection of shelters where the platelets can be administered to injured people, while minimizing total relief time. Thus, first a bi-level mixed integer linear model under the demand and supply uncertainties is developed (phase 1), and then a capacity-sharing coordination mechanism based on the collaborative control theory is proposed (phase 2). To solve large-scale instances, a fuzzy Kth-Best algorithm is developed to solve the first phase and then phase 2 is solved by the proposed coordination mechanism. We compare our model to centralized relief logistics model using a data set for a possible earthquake in Tehran, Iran. Results show that our model reduces shortage and wastage compared with the centralized model
Value in Health
Epidemiology, and End Results (SEER) cancer registry linked with Medicare claims. Recursive featu... more Epidemiology, and End Results (SEER) cancer registry linked with Medicare claims. Recursive feature elimination with random forest was used to extract the optimal number of predictors out of 119 likely ones for predictive modeling. eXtreme Gradient Boosting (XGBoost), SHapley Additive exPlanations (SHAP), and global feature importance were used to identify the leading predictors and their associations with opioid combination therapy. SAS 9.4 was used for data management and Python 3.9.7 was used for machine learning model calibration and tuning. Results: Specificity (0.858), sensitivity (0.843), and area under the curve (AUC, 0.85) of our predictive model were high. Thirty-four features were included in the final predictive model. Baseline use of NSAIDs, opioids, benzodiazepines, and gabapentinoids, and chemotherapy, surgery, Complex relationships were observed between zip code percent of Hispanic and Native American residents living below poverty, care fragmentation (FCI), age at diagnosis, and opioid combination therapy. Conclusions: 1 in 3 older cancer survivors were prescribed opioid combination therapy. Patient-level baseline medication use, biological factors, cancer treatment, and zip code level social determinants were leading predictors of opioid combination therapy. Although observed relationships were complex, further analysis of predictors may help compute individual risk of patients on combination therapy, which in turn may help clinicians and policy makers utilize targeted interventions at the outset and prevent long-term effects of combination pain therapy such as prolonged and inappropriate use.
International Journal of Production Research, 1998
This paper studies the dynamic control of kanbans in a generic kanban system. A generic kanban sy... more This paper studies the dynamic control of kanbans in a generic kanban system. A generic kanban system originating from the Toyota kanban system is a production control scheme in dynamic environments with variable demands and processing times. A dynamic kanban control approach is proposed to determine the number of kanbans used in the system. This approach includes two major functions: example extraction and fuzzy system generation. Examples are generated from simulation and desired examples are collected. Fuzzy rule-based systems are generated from desired examples to dynamically adjust the number of kanbans. Experiments are conducted to evaluate the proposed approach. The generated fuzzy systems are examined on the training process and its feasibility in general situations. This approach is also compared with the simulated annealing approach under the same system status. Both approaches yield similar system performance. The fuzzy system approach, however, is preferred because it does not require the prio...
Applied clinical informatics, 2010
Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing... more Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing patient-specific reminders at the point of care. However, adherence varies between individual CCRs and is correlated to resolution time amongst other factors. This study aimed to evaluate how a proposed CCR redesign providing information explaining why the CCRs occurred would impact providers' prioritization of individual CCRs. Two CCR designs were prototyped to represent the original and the new design, respectively. The new CCR design incorporated a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter. Sixteen physicians participated in a controlled experiment to compare the use of the original and the new CCR systems. The subjects individually simulated a scenario-based patient encounter, followed by a semi-structured interview and survey. We collected and analyzed the order in which the CCRs were prioritized, the perceived usefulness of eac...
2016 IEEE Global Humanitarian Technology Conference (GHTC), 2016
Procedia CIRP
Abstract For many countries, the transportation sector plays a critical role in the economy. Unfo... more Abstract For many countries, the transportation sector plays a critical role in the economy. Unfortunately, transportation contributes significantly to greenhouse gas (GHG) emissions. In the United States, there exists a very developed end of life (EoL) infrastructure for conventional internal combustion engine (ICE) vehicles. As the market for Electric Vehicles (EVs) grows, this EoL infrastructure will need to keep pace with the changing vehicle technologies. One reason why this is of particular concern is the use of several high value and critical materials that have been procured using several resource-intensive manufacturing processes. The lack of adequate EoL infrastructure will result in the wastage of several materials resulting in increasing environmental burdens and the possibility of supply chain risks. This paper proposes the use of industrial symbiosis (IS) and principles of waste hierarchy to minimize material wastage and environmental burdens. A short case study evaluating the potential environmental benefits of rerouting degraded EV Lithium-ion (Li-ion) batteries as feedstock in an alternative industry is presented and the resulting environmental benefits are estimated.
In the next 20 years, coal still is a major energy to promote China's economic growth and also a ... more In the next 20 years, coal still is a major energy to promote China's economic growth and also a main source of carbon emissions. Research of the economic relations among coal supply chain's carbon emissions, cost and benefit generated by the activities coupled with carbon emissions has an important significance for controlling coal supply chain's carbon emissions from an economic point. Firstly, we present a typical structural model of coal supply chain. Secondly, we analysis the relations among carbon emissions, cost and benefit of this structural model, and then construct a carbon emissions economic measurement (CEEM) model of coal supply chain. Our research shows that controlling coal supply chain's carbon emissions from an economic point can achieve good results.
1School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA 2 School of P... more 1School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA 2 School of Public Health-Resilient, Africa Network (RAN), Makerere University, Kampala, Uganda 3Management Science for Health, Medford, MA 02155, USA 4R B Annis School of Engineering, University of Indianapolis, Indianapolis, IN 46227, USA 5LASER PULSE (Long-term Assistance and SErvices for Research, Partners for University-Led Solutions Engine) Consortium, Purdue University, West Lafayette, IN 47907, USA
Journal of Manufacturing Systems
Rare earth permanent magnets (REPMs) play an essential role in various applications such as renew... more Rare earth permanent magnets (REPMs) play an essential role in various applications such as renewable energy production, and aerospace and defense related products. Rare earth elements (REEs) such as neodymium and dysprosium are used in REPMs, and the supply of these REEs has experienced volatility. To mitigate this risk, REEs may be recovered from end-of-life (EOL) products such as computer hard disk drives (HDDs). To facilitate REE/REPM recycling, this paper develops an operation and inventory management strategy to explore the profitability 1) under uncertain market supply and 2) with varying component/material values whose demand also faces significant uncertainties. The resulting strategy provides recommendations for the ordering and processing quantities associated with REPM containing products. An upper bound solution on the recovery profit was proposed to assess the performance of the developed strategy. We found that the proposed strategy helps increase the overall profit, and its performance is close to the upper bound. Finally, several scenarios were evaluated to examine how market conditions affect profit. To the best of authors' knowledge, this research is the first study on REPM recycling that provides a promising strategy to the relevant industry.
American Journal of Health-System Pharmacy
Purpose Results of a questionnaire-based study to evaluate smart infusion pump end users’ percept... more Purpose Results of a questionnaire-based study to evaluate smart infusion pump end users’ perceptions and understanding of the drug library update process are reported. Methods The Indianapolis Coalition for Patient Safety, Inc., in partnership with the Regenstrief Center for Healthcare Engineering, conducted a 33-item electronic, cross-sectional survey across 5 Indiana health systems from May through November 2017. Interdisciplinary participants identified for survey distribution included nurses, pharmacists, biomedical engineers, administrators, and medication safety officers. The survey assessed the following domains: patient safety, the drug library update process, knowledge of drug libraries and the update process, and end-user perceptions. Results A total of 778 submitted surveys were included in the data analysis, with a large majority of responses (90.2%) provided by nurses. The use of drug libraries for ensuring patient safety was deemed extremely important or important by ...
Risk Analysis
This study aimed to use healthcare professionals' assessments to calculate expected risk ... more This study aimed to use healthcare professionals' assessments to calculate expected risk of intravenous (IV) infusion harm for simulated high-risk medications that exceed soft limits and to investigate the impact of relevant risk factors. We designed 30 infusion scenarios for four high-risk medications, propofol, morphine, insulin, and heparin, infused in adult intensive care unit (AICU) and adult medical and surgical care unit (AMSU). A total of 20 pharmacists and 5 nurses provided their assessed expected risk of harm in each scenario. Descriptive statistics, analysis of variance with least square mean, and post hoc test were conducted to test the effects of field limit type, soft (SoftMax), and hard maximum drug limit types (HardMax), and care area-medication combination on risk of harm. The results showed that overdosing scenarios with continuous and bolus dose limit types were assessed with significantly higher risks than those of bolus dose rate type. An overdose infusion in AICU over a large SoftMax was assessed to be of higher risk than over a small one, but not in AMSU. For overdose infusions with three levels of drug amount, greater drug amount in AICU and AMSU was assessed to have higher risk, except insignificant risk difference between the infusions with higher and moderate drug amount in AMSU. This study obtained expected risk for simulated high-risk IV infusions and found that different field limit and SoftMax types can affect expected risk based on healthcare professionals' perspectives. The findings will be regarded as benchmarks for validating risk quantification models in future research.
Resources, Conservation and Recycling
Integrated Computer-Aided Engineering
ABSTRACT: A general framework to construct fuzzy rule systems automatically from given examples i... more ABSTRACT: A general framework to construct fuzzy rule systems automatically from given examples is proposed in this paper. The objective is to generate fuzzy systems with good mapping ability and generalization ability as well. The procedure consists of five steps. Cluster analysis of ...
International Journal of Operational Research
Women in Industrial and Systems Engineering
IISE Transactions on Healthcare Systems Engineering
American Journal of Gastroenterology
Journal of Medical Systems