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A Truck Scheduling System Improves Efficiency in the Forest Industries

Author

Listed:
  • Andres Weintraub

    (Department of Industrial Engineering, University of Chile, PO Box 2777, Santiago, Chile)

  • Rafael Epstein

    (Department of Industrial Engineering, University of Chile, PO Box 2777, Santiago, Chile)

  • Ramiro Morales

    (Department of Industrial Engineering, University of Chile, PO Box 2777, Santiago, Chile)

  • Jorge Seron

    (Bosques Arauco, Box 147, Arauco, Chile)

  • Pier Traverso

    (Bosques Arauco, Box 147, Arauco, Chile)

Abstract

Timber transport plays an important part in the overall operational costs of forest industries. Depending on their size, typical large forest firms move between 500,000 and 3,000,000 cubic meters a year, with transportation budgets ranging from US $5 to 20 million. We developed an operative and computerized system, ASICAM, based on a simulation process with heuristic rules, to support daily truck scheduling decisions. It can be used on any personal computer and runs for about three minutes on a PC 486 for larger problems. ASICAM has been implemented in eight of the largest forest firms in Chile, reducing costs and improving overall operation and work efficiency.

Suggested Citation

  • Andres Weintraub & Rafael Epstein & Ramiro Morales & Jorge Seron & Pier Traverso, 1996. "A Truck Scheduling System Improves Efficiency in the Forest Industries," Interfaces, INFORMS, vol. 26(4), pages 1-12, August.
    • Handle: RePEc:inm:orinte:v:26:y:1996:i:4:p:1-12
    DOI: 10.1287/inte.26.4.1
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    Citations

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    Cited by:

    1. Khan, Mubassira & Machemehl, Randy, 2017. "Analyzing tour chaining patterns of urban commercial vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 84-97.
    2. Nizar Hachemi & Issmail Hallaoui & Michel Gendreau & Louis-Martin Rousseau, 2015. "Flow-based integer linear programs to solve the weekly log-truck scheduling problem," Annals of Operations Research, Springer, vol. 232(1), pages 87-97, September.
    3. Audy, Jean-François & D’Amours, Sophie & Rönnqvist, Mikael, 2012. "An empirical study on coalition formation and cost/savings allocation," International Journal of Production Economics, Elsevier, vol. 136(1), pages 13-27.
    4. Mikael Rönnqvist & Sophie D’Amours & Andres Weintraub & Alejandro Jofre & Eldon Gunn & Robert Haight & David Martell & Alan Murray & Carlos Romero, 2015. "Operations Research challenges in forestry: 33 open problems," Annals of Operations Research, Springer, vol. 232(1), pages 11-40, September.
    5. Kim, Kap Hwan & Kim, Jae-Boum, 2002. "Determining load patterns for the delivery of assembly components under JIT systems," International Journal of Production Economics, Elsevier, vol. 77(1), pages 25-38, May.
    6. Andersson, Gert & Flisberg, Patrik & Lidén, Bertil & Rönnqvist, Mikael, 2007. "RuttOpt – A decision support system for routing of logging trucks," Discussion Papers 2007/16, Norwegian School of Economics, Department of Business and Management Science.
    7. Nizar El Hachemi & Michel Gendreau & Louis-Martin Rousseau, 2011. "A hybrid constraint programming approach to the log-truck scheduling problem," Annals of Operations Research, Springer, vol. 184(1), pages 163-178, April.
    8. Rafael Epstein & Ramiro Morales & Jorge Serón & Andres Weintraub, 1999. "Use of OR Systems in the Chilean Forest Industries," Interfaces, INFORMS, vol. 29(1), pages 7-29, February.
    9. Flisberg, Patrik & Lidén, Bertil & Rönnqvist, Mikael, 2007. "A hybrid method based on linear programming and tabu search for routing of logging trucks," Discussion Papers 2007/14, Norwegian School of Economics, Department of Business and Management Science.
    10. Andrés Weintraub & Carlos Romero, 2006. "Operations Research Models and the Management of Agricultural and Forestry Resources: A Review and Comparison," Interfaces, INFORMS, vol. 36(5), pages 446-457, October.
    11. Wooseung Jang & Huay H. Lim & Thomas J. Crowe & Gail Raskin & Thomas E. Perkins, 2006. "The Missouri Lottery Optimizes Its Scheduling and Routing to Improve Efficiency and Balance," Interfaces, INFORMS, vol. 36(4), pages 302-313, August.
    12. Khan, Mubassira & Machemehl, Randy, 2017. "Commercial vehicles time of day choice behavior in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 68-83.
    13. Aurelija Burinskienė, 2021. "Designing a Multi-Stage Transport System Serving e-Commerce Activity," Sustainability, MDPI, vol. 13(11), pages 1-19, May.

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