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  • Increasing the lifetime of products by nanomaterial inclusions—life cycle energy implications 

    Asmatulu, Eylem; Subeshan, Balakrishnan; Twomey, Janet M.; Overcash, Michael (Springer, 2020-07-27)
    Purpose: Typically, the high energy required to manufacture nanomaterials is weighed against the benefits transferred to a product. Adequately establishing the environmental characteristics of a product that contains ...
  • The Green Print: Advancement of Environmental Sustainability in Healthcare 

    Sherman, Jodi D.; Thiel, Cassandra L.; MacNeill, Andrea J.; Twomey, Janet M. (Elsevier, 2020-10)
    Healthcare is a major emitter of environmental pollutants that adversely affect health. Within the healthcare community, awareness of these effects is low, and recognition of the duty to address them is only beginning to ...
  • Real-time event-based dynamic multi-facility vehicle rerouting 

    Madhu, Ajaykrishna; Harikrishnakumar, Ramkumar; Nannapaneni, Saideep; Krishnan, Krishna K. (IEEE, 2020-06-10)
    This paper presents a system architecture for real-Time information transmission between the dispatcher and service vehicles allowing the logistic system the possibility of reacting to dynamic events such as new service ...
  • Internet of things based cyber-physical system framework for real-time operations 

    Maru, Vatsal K.; Nannapaneni, Saideep; Krishnan, Krishna K. (IEEE, 2020-06-10)
    The paper presents an intelligent cyber-physical system (CPS) framework using object detection for real-Time operations in an Internet-of-Things (IoT) connected physical environment. To facilitate real-Time object detection, ...
  • Deep reinforcement learning for condition-based maintenance planning of multi-component systems under dependent competing risks 

    Zhang, Nailong; Si, Wujun (Elsevier, 2020-11)
    Condition-Based Maintenance (CBM) planning for multi-component systems has been receiving increasing attention in recent years. Most existing research on CBM assumes that preventive maintenances should be conducted when ...
  • Online monitoring and control of a cyber-physical manufacturing process under uncertainty 

    Nannapaneni, Saideep; Mahadevan, Sankaran; Dubey, Abhishek; Lee, Yung Tsun Tina (Springer, 2020-06-24)
    Recent technological advancements in computing, sensing and communication have led to the development of cyber-physical manufacturing processes, where a computing subsystem monitors the manufacturing process performance ...
  • Design of response networks during disasters 

    Alsaadi, Ahmed K.; Krishnan, Krishna K.; Almaktoom, Abdulaziz T. (Institute of Industrial Engineers, 2020)
    Every year the world faces many different and diverse types of disasters. The effects of these catastrophes are vast and disastrous for humanity. These effects include economic devastation, massive structural damage, and ...
  • Robust smart grid optimization based on wind energy 

    Alhamidi, Suliman A.; Chen, Zheng; Sawan, M. Edwin; Almaktoom, Abdulaziz T. (Institute of Industrial Engineers, 2020)
    Wind energy is commonly applied in the electrical industry and is fast developing all over the world. Attention has been focused on the reliable connection between a wind farm and the gas turbine. Many researchers hope to ...
  • Defining multiple criteria for selecting an effective treatment plan for breast cancer 

    Hasan, Mostafa; Buyuktahtakin, Esra; Elamin, Elshami (Institute of Industrial Engineers, 2020)
    According to the American Cancer Society, 231,840 new cases were diagnosed with invasive breast cancer and approximately 40,290 women died in the United States in 2015. The selection of an effective treatment plan for ...
  • Probability of overlap 

    Jensen, Willis A.; Si, Wujun (Taylor and Francis, 2020-03-28)
    Consider a situation where we measure the strength of two different components that go into a finished product. In order for the product to work well, it is crucial that the strength of component A, not be greater than the ...
  • Supervised machine learning approach for effective supplier classification 

    Harikrishnakumar, Ramkumar; Dand, Alok; Nannapaneni, Saideep; Krishnan, Krishna K. (IEEE, 2019-12)
    Supplier assessment plays a critical role in the supply chain management, which involves the flow of goods and services from the initial stage (raw material procurement) to the final stage (delivery). Supplier assessment ...
  • Effect of carbon black silanization on isothermal curing kinetics of epoxy nanocomposites 

    Soltani, Seyed A.; Razinobakht, Seyed A.; Asmatulu, Ramazan (John Wiley and Sons, 2020-02-12)
    The present study was carried out to determine the effect of carbon black (CB) nanofiller silanization and loading on isothermal curing kinetics of epoxy nanocomposites. The epoxy resin specimens incorporated with 2, 4, ...
  • Choosing radiology imaging modalities to meet patient needs with lower environmental impact 

    Alshqaqeeq, Fadhel Y.; McGuire, Charles W.; Overcash, Michael; Ali, Kamran; Twomey, Janet M. (Elsevier, 2020-04)
    Every patient that comes to Radiology has a different category of health problem. Based on diagnoses, each patient gets the appropriate imaging to aid in their treatment. The Healthier Hospital Initiative (HHI, ...
  • Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach 

    Sener, Abdurrezzak; Barut, Mehmet; Dag, Ali; Yildirim, Mehmet Bayram (Springer Nature, 2019-12-19)
    Due to the proliferation of information systems and technology, supply chains have the capability of acquiring an enormous amount of supplier data in their databases. However, much of the useful supplier-specific insights ...
  • Predictive model markup language (PMML) representation of Bayesian networks: an application in manufacturing 

    Nannapaneni, Saideep; Narayanan, Anantha; Ak, Ronay; Lechevalier, David; Sexton, Thurston; Mahadevan, Sankaran; Lee, Yung Tsun Tina (ASTM International, 2018-10-02)
    Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, ...
  • Accounting for patient heterogeneity in nurse staffing using a queueing-theory approach 

    Eimanzadeh, Parisa; Gloede, Heather; Soule, Joyce; Salari, Ehsan (Taylor & Francis, 2018-06-30)
    Evidence from observational studies suggests that inadequate nurse staffing in hospitals and heavy nurse workload may compromise patient safety and quality of care. There are recommended minimum nurse-to-patient ratios for ...
  • The interplay of strategic orientations and their influence on sme performance 

    Pett, Timothy L.; Francis, John D.; Wolff, James (Middle Tennessee State University, 2019-10-19)
    This paper examines the role that learning orientation plays with respect to entrepreneurial orientation, market orientation, and, ultimately, the performance of small and medium-sized enterprises SMEs. Previous research ...
  • Prediction of airline delays based on machine learning algorithms 

    Dand, Alok; Saeed, Khawaja A.; Yildirim, Mehmet Bayram (Association for Information Systems, 2019)
    Every year around 20% of all flights are delayed or canceled. The costs of these events to the airline companies and passengers are in billions of dollars each year. According to a report published in 2010 by UC Berkeley, ...
  • Family business learning and performance 

    Pett, Timothy L.; Wolff, James; Heileman, Mark D. (Inderscience Enterprises Ltd., 2019-09-24)
    This research study examines the relationship of entrepreneurial orientation and learning orientation on the performance of small family businesses. It is proposed that the dimensions of entrepreneurial orientation ...
  • Adiabatic shear banding behavior of additively manufactured superalloy in 625 

    Bhavsar, Pavan; Lopez-Hawa, Homar; Ananda-Kumar, Rajesh; Madhavan, Viswanathan; Moscoso-Kingsley, Wilfredo (Elsevier, 2019)
    Additively manufactured nickel superalloy (IN 625) has gained popularity as an alternative to produce high value products of complex geometries for high strength applications under high temperature and corrosive environments. ...

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