• Automated job shop scheduling with dynamic processing times and due dates using project management and industry 4.0 

  Kianpour, Parsa; Gupta, Deepak P.; Krishnan, Krishna K.; Gopalakrishnan, Bhaskaran (Taylor and Francis Ltd., 2021-06-14)

  This paper presents an automated model for improving job shop scheduling by incorporating Industry 4.0 and project management. The proposed model develops dynamic and adaptive schedules to incorporate real-time information ...

• Automated job shop scheduling with dynamic processing times and due dates using project management and industry 4.0 

  Kianpour, Parsa; Gupta, Deepak P.; Krishnan, Krishna K.; Gopalakrishnan, Bhaskaran (Taylor and Francis Ltd., 2021-06-14)

  This paper presents an automated model for improving job shop scheduling by incorporating Industry 4.0 and project management. The proposed model develops dynamic and adaptive schedules to incorporate real-time information ...

• Auto-normalization of robot end-effector 

  Veeraraghavan, Vinoth Kumar (Wichita State University, 2021-05)

  An automatic system for a generic approach to detecting the normal vector of an unknown three-dimensional surface using a sensor mounted on the wrist of a collaborative robot is described. As this method proceeds, the ...

• Robot path planning with sensor feedback for industrial applications 

  Kulkarni, Rekha G. (Wichita State University, 2021-05)

  The research goal of this study is to investigate the use of sensor feedback for robot path planning and optimization. Robots are ideal automation tools for handling highly repetitive manufacturing tasks with unparalleled ...

• Optimizing spatiotemporally fractionated radiotherapy plans under radio-biological uncertainty 

  Adibi, Ali; Salari, Ehsan (Institute of Industrial and Systems Engineers, IISE, 2020)

  Radiotherapy treatments are typically delivered in daily sessions spanning one to several weeks. This is motivated by the clinical observation that irradiated cells tolerate a larger total radiation dose if it is fractionated ...

• Characterizing the workday of ambulance crew members 

  Huynh, Ngoc H.; Bui, Huong; Cure Vellojin, Laila N. (Institute of Industrial and Systems Engineers (IISE), 2020)

  The work of ambulance crew members is highly variable and unpredictable. Decisions made based on an oversimplified understanding of the workday may result in crewmembers struggling to meet unrealistic demands and subsequently ...

• Asset management strategies for wind turbines: Keeping or retrofitting existing wind turbines? 

  Cinar, Suna; Rubaiee, Saeed; Yildirim, Mehmet Bayram (Inderscience, 2021-04-05)

  In this study, a parallel replacement problem with retrofitting (PRP-R) model is proposed to determine the trade-off between retrofitting and replacing an asset. The primary objective is to identify the replacement, ...

• A Quantum Bayesian approach for bike sharing demand prediction 

  Harikrishnakumar, Ramkumar; Borujeni, Sima E.; Dand, Alok; Nannapaneni, Saideep (IEEE, 2021-03-19)

  The bike-sharing system (BSS) aims to provide an alternative mode of public transportation that are being adopted in urban cities. The use of the bike for short-distance travel aids in mitigating traffic congestion problems, ...

• Quantum circuit representation of Bayesian networks 

  Borujeni, Sima E.; Nannapaneni, Saideep; Nguyen, Nam H.; Behrman, Elizabeth C.; Steck, James E. (Elsevier, 2021-08-15)

  Probabilistic graphical models such as Bayesian networks are widely used to model stochastic systems to perform various types of analysis such as probabilistic prediction, risk analysis, and system health monitoring, which ...

• Asset management in electric power systems: Bibliometric analysis 

  Mohib, Ashfaque A. (Wichita State University, 2021-04-02)

  Utility companies are forced into adopting strategies to satisfy customer demand and reliability, maintain and grow asset infrastructures, increase return on investments and improve operational efficiencies to compete in ...

• Obesity classification from facial images using deep learning 

  Siddiqui, Hera (Wichita State University, 2021-04-02)

  INTRODUCTION: Obesity is a serious health problem that is on the rise both in the United States and globally. Obesity is frequently defined using the clinical Body Mass Index (BMI) ratio of height and weight. Overweight ...

• A systematic literature review on supply chain operational disruption management for resilience 

  Haque, Subarna (Wichita State University, 2021-04-02)

  In the recent years, supply chain has become longer, larger, more complex, and more vulnerable to disruption. As a result, practitioners and researchers are paying more attention to supply chain risk management. COVID-19 ...

• Process mapping of additively-manufactured metallic wicks using Bayesian approach 

  Borumand, Mohammad; Borujeni, Sima E.; Ausherman, Moriah; Madiraddy, Guru (Wichita State University, 2021-04-02)

  INTRODUCTION: Wick structures are porous media that provide spontaneous capillary action to maintain fluid circulation in advanced two-phase thermal management systems. However, the conventional manufacturing approaches ...

• Quantum Bayesian Networks application for automated vehicles safety 

  Borujeni, Sima E. (Wichita State University, 2021-04-02)

  Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference. A Quantum Bayesian Network (QBN) is the quantum equivalent of ...

• Understanding the prevalence of gestational diabetes in urban and rural communities in Kansas 

  Ali, Umama (Wichita State University, 2021-04-02)

  INTRODUCTION: Gestational diabetes is one of the most common medical conditions women encounter during pregnancy and is the leading cause of maternal morbidity and mortality, perinatal and neonatal morbidity, and long-term ...

• Optimising unrelated parallel machine scheduling in job shops with maximum allowable tardiness limit 

  Kianpour, Parsa; Gupta, Deepak P.; Krishnan, Krishna K.; Gopalakrishnan, Bhaskaran (Inderscience, 2021-03-05)

  Motivated by the practical scheduling problem of job shops, this study evaluates unrelated parallel machine scheduling models. The researchers proposed a new mixed integer linear programming model considering effects of ...

• Sustainable reverse logistic network design for end-of-life use-case study 

  Cinar, Suna (EDP Sciences, 2021-03-02)

  Due to the increased interests in environmental issues along with stringent environmental legislation and regulations, companies start taking a fresh look at the impact on their reverse logistic activties on the environment. ...

• Comparison of self-citation patterns in WoS and Scopus databases based on national scientific production in Slovenia (1996–2020) 

  Budimir, Gordana; Rahimeh, Sophia; Tamimi, Sameh; Južnič, Primož (Springer Nature, 2021-02-06)

  Comparative studies of Web of Science and Scopus databases relate mainly to journal coverage and citation indicators. The aim of this study is to compare self-citation patterns in these databases. 25 years of scientific ...

• Simulation-based decision framework for hybrid layout production systems under disruptions 

  Vijayan, Vishakh; Harikrishnakumar, Ramkumar; Krishnan, Krishna K.; Cheraghi, Hossein H.; Motavalli, Saeid (Elsevier, 2021-06-18)

  In a hybrid layout production system under uncertainties, making strategic decisions becomes crucial and demanding, with an increase in the complexity of the system. The advent of Industry 4.0 leads to the development of ...

• Heat transfer simulation and improvement of autoclave loading in composites manufacturing 

  Mirzaei, Shokoufeh; Krishnan, Krishna K.; Kobtawy, Charbel Al; Roberts, Jeffrey; Palmer, Eric (Springer Nature, 2021-01-11)

  Composite manufacturing has proven to be a quintessential process for the improvement of a spectrum of industries from medical to automotive, and aerospace. Most composite manufacturing processes include a two-step process, ...

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