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June 2016
Debjit Roy

Debjit Roy is an Associate Professor in Production and Quantitative Methods Area.   His research focuses on improving system performance using quantitative methods such as stochastic modeling and optimization.  His specific research interests target the development of customized analytical models that enable the near-optimal design of logistical and service systems such as distribution centers, container terminals, and vehicle rental systems.
Abstracts of other articles published in refereed journals included in this issue
  • Carbon Footprint Analysis of Pallet Remanufacturing
    In Journal of Cleaner Production, March 16, 2016 (Online Reference: DOI: 10.1016/j.jclepro.2016.03.009)

    Debjit Roy, Fabiana Tornese, Andres L. Carrano, Brian K. Thorn and Jennifer A. Pazour

    This research is the first attempt to characterize the carbon equivalent emissions associated with pallet remanufacturing operations for two repositioning scenarios (cross-docking and take-back), and under multiple levels of pallet loading and service conditions. Industry data was acquired through observation and time studies at 12 facilities in North America. Models of pallet component breakdown patterns were used to characterize the carbon equivalent emissions of pallet remanufacturing over the predicted service life. Results show that materials account for the vast majority of remanufacturing operation emissions with three board components responsible for 50-90% of total remanufacturing emissions. The loading and handling environment significantly impacts remanufacturing emissions thus breakeven points where remanufacturing emissions exceed those from newly manufactured pallets are provided for each condition. Also, a pallet-cross-docking policy was shown to reduce emissions when compared to a take-back policy. Finally, a linear optimization model is provided to understand the benefits of preemptive component repair. Results show that preemptive remanufacturing schedules can reduce carbon equivalent emissions by up to 40%. These insights can help guide the pallet industry towards more sustainable pallet management strategies.

Abstracts of other articles published in refereed journals included in this issue

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