TY - GEN
T1 - Pallet life cycle comparison using LCA and multiobjective dynamic programming
AU - Anil, Sebastian K.
AU - Ray, Charles D.
AU - Kremer, Gül E.Okudan
PY - 2010/12/1
Y1 - 2010/12/1
N2 - Treatment of wooden pallets has been increasingly viewed with concern over reports of infestation by pests and increased carbon footprint of treatment methods worldwide. The longevity and not requiring infestation treatments make plastic pallets an apparent choice over wooden pallets; however, the high carbon footprint generated during the manufacture of plastic resin worsens environmental concerns. While comparing environmental impacts of existing treatment methods, this research analyzes the environmental burdens and costs of wooden and plastic type pallets throughout their life cycles. The methodology comprises of a comparison of treatment and pallet types using Life Cycle Analysis (LCA) and a multiobjective dynamic programming to determine optimum pallet types that minimize both carbon footprint and costs in each life cycle stage. Multi-objective dynamic programming helps to optimize decisions at various stages of the product life cycle.
AB - Treatment of wooden pallets has been increasingly viewed with concern over reports of infestation by pests and increased carbon footprint of treatment methods worldwide. The longevity and not requiring infestation treatments make plastic pallets an apparent choice over wooden pallets; however, the high carbon footprint generated during the manufacture of plastic resin worsens environmental concerns. While comparing environmental impacts of existing treatment methods, this research analyzes the environmental burdens and costs of wooden and plastic type pallets throughout their life cycles. The methodology comprises of a comparison of treatment and pallet types using Life Cycle Analysis (LCA) and a multiobjective dynamic programming to determine optimum pallet types that minimize both carbon footprint and costs in each life cycle stage. Multi-objective dynamic programming helps to optimize decisions at various stages of the product life cycle.
UR - http://www.scopus.com/inward/record.url?scp=84880463442&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880463442&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84880463442
SN - 9781617824449
T3 - 31st Annual National Conference of the American Society for Engineering Management 2010, ASEM 2010
SP - 514
EP - 521
BT - 31st Annual National Conference of the American Society for Engineering Management 2010, ASEM 2010
T2 - 31st Annual National Conference of the American Society for Engineering Management 2010, ASEM 2010
Y2 - 13 October 2010 through 16 October 2010
ER -