• Thermoset composite recycling - Driving forces, development, and evolution of new opportunities 

  Overcash, Michael; Twomey, Janet M.; Asmatulu, Eylem; Vozzola, Eric; Griffing, Evan M. (SAGE, 2018-04-01)

  Thermoset composites represent a substantial challenge for recycling, even as composite products increase in market interest. The concept of putting all future thermoset composite products into landfills over the next ...

• Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network 

  Topuz, Kazim; Uner, Hasmet; Oztekin, Asil; Yildirim, Mehmet Bayram (Springer, 2018-04)

  No-shows are becoming a major problem in primary care facilities, creating additional costs for the facility while adversely affecting the quality of patient care. Accurately predicting no-shows plays an important role in ...

• Bidirectional leaf trajectory optimization approaches for dynamic delivery of intensity-modulated radiotherapy plans 

  Mirzapourrezaei, Seyedali; Salari, Ehsan (WILEY, 2017-06-14)

  Purpose: Traditionally, unidirectional leaf-sweeping schemes have beenused for dynamic deliver y of intensity-modulated radiotherapy (IMRT) plans.This research investigates the potential benefits of bidirectional ...

• Spatiotemporally integrated radiotherapy plan optimization 

  Adibi, Ali; Salari, Ehsan (Wiley, 2017-06-14)

  Purpose: This research aims at quantifying the extent of potential therapeu-tic gain that can be achieved from altering the radiation dose distribution overtreatment sessions in fractionated radiotherapy. Methods: A ...

• Enabling resilience of complex engineered systems using control theory 

  Yodo, Nita; Wang, Pingfeng; Rafi, Melvin (IEEE, 2018-03)

  Successful recovery from a disrupted state to maintain optimal performance is a key feature that a resilient complex engineered system should have. In the engineering design community, the current focus of engineering ...

• Predicting graft survival among kidney transplant recipients: A Bayesian decision support model 

  Topuz, Kazim; Zengul, Ferhat D.; Dag, Ali; Almehmi, Ammar; Yildirim, Mehmet Bayram (Elsevier, 2018-02)

  Predicting the graft survival for kidney transplantation is a high stakes undertaking considering the shortage of available organs and the utilization of healthcare resources. The strength of any predictive model depends ...

• Spatiotemporal radiotherapy planning using a global optimization approach 

  Adibi, Ali; Salari, Ehsan (IOP Publishing, 2018-02-06)

  This paper aims at quantifying the extent of potential therapeutic gain, measured using biologically effective dose (BED), that can be achieved by altering the radiation dose distribution over treatment sessions in ...

• Concept drift and evolution detection in fusion diagnosis with evolving data streams 

  Abdolsamadi, Amirmahyar; Wang, Pingfeng (ASME, 2017)

  Health diagnosis interprets data streams acquired by smart sensors and makes inferences about health conditions of an engineering system thereby making critical operational decisions. A data stream is a flow of continuous ...

• Design of resilient and sustainable complex engineered systems 

  Yodo, Nita (Wichita State University, 2017-07)

  With the development of new complex engineered systems or retrofitting the old ones, new types of safety issues and unforeseen failure modes may have arisen. Traditional probabilistic risk assessment framework falls short ...

• Optimization of resource allocation and routing in political campaign problems 

  Akgun, Gokcen (Wichita State University, 2017-07)

  In this thesis, we introduce the problem of a politician who has to allocate his limited budget among meeting and advertising campaigns in the most efficient way so that he can get the maximum number of votes. This problem, ...

• A practical approach to project scheduling: considering multiple critical path scenarios in project network 

  Harikrishnakumar, Ramkumar (Wichita State University, 2017-07)

  A well-managed project results in efficient scheduling of the interrelated components of work tasks, resources, stakeholders and budgets plans. The goal is for project managers to be able to generate an initial schedule ...

• Design of multi-echelon supply chain systems to optimize cost and service levels 

  Maru, Vatsal K. (Wichita State University, 2017-07)

  Primarily found basic uncertainties in the supply chain design are supply and demand, later there are many more uncertainties added in the literature of the field, e.g., control. For an organization there are many options ...

• Production scheduling applications to interruption-handling in healthcare 

  Nemalikanti, Shrirama Chandra Murthy (Wichita State University, 2017-07)

  In this study, single machine scheduling concepts with uncertain processing times and interruptions were reviewed to model and analyze the inpatient care task sequencing problem. The task sequencing problem involves answering ...

• Data driven decision making frameworks with probabilistic graphical models in healthcare 

  Topuz, Kazim (Wichita State University, 2017-05)

  Advancements in data gathering and uncertainty surrounding health care and human behavior require advanced modelling techniques such as Bayesian belief networks (BBNs) and Markov networks (MNs) to analyze such a complex ...

• Optimization approaches to biological invasions and cancer 

  Kibis, Eyyub Y. (Wichita State University, 2017-05)

  Spatio-temporal models have been utilized in a wide range of disciplines to describe and predict spatially explicit processes that change over time. One of the various application areas of spatio-temporal models is ...

• Multi-criteria inventory classification using weighted linear optimization 

  Iqbal, Qamar (Wichita State University, 2017-05)

  This research deals with the inventory classification via multi-criteria optimization models. The idea behind this study is to educate readers about what factors must be considered when selecting inventory classification ...

• Perceived dimensions of quality in healthcare 

  Alshammary, Wasim A. (Wichita State University, 2017-05)

  The healthcare industry is one of the most important industries in the service field. Quality is a key factor in healthcare, given its complex nature and the number of stakeholders. This research examines the key constructs ...

• A hybrid imperialist competitive algorithm approach to solve a green vehicle routing problem 

  Lamei, Maryam (Wichita State University, 2017-05)

  One of the most significant extension problems of the vehicle routing problem (VRP) is the heterogeneous fixed fleet vehicle routing problem (HFFVRP), which aims to provide service to a specific customers' group using a ...

• Reliability assessment and an optimization approach of global supply chain system 

  Daehy, Yahya H. (Wichita State University, 2017-05)

  Due to global outsourcing, supply chain system has become more complex and has faced high risks and disruptions. Many of the disruptions can occur at any time or any stage in the supply chain. Nowadays, businesses and ...

• A new epidemics-logistics model: Insights into controlling the Ebola virus disease in West Africa 

  Buyuktahtakm, Esra; Des Bordes, Emmanuel; Kibis, Eyyub Y. (Elsevier Ltd., 2018-03-16)

  Compartmental models have been a phenomenon of studying epidemics. However, existing compartmental models do not explicitly consider the spatial spread of an epidemic and logistics issues simultaneously. In this study, we ...

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