IJAT Vol.6 No.3 pp. 331-337
doi: 10.20965/ijat.2012.p0331


An Optimization Method for Critical Chain Scheduling Toward Project Greenality

Daisuke Morita and Haruhiko Suwa

Graduate School of Setsunan University, 17-8 Ikeda-naka-machi, Neyagawa, Osaka 572-8508, Japan

November 1, 2011
March 17, 2012
May 5, 2012
sustainability and greenality, project scheduling, uncertainty, buffer management, critical chain

The concept of green manufacturing has influenced many projects and their progress in manufacturing. In practice, projects in manufacturing should be monitored and controlled from the viewpoint of greenality, which is the degree to which a project or an organization has taken into account the sustainability and environmental requirements that influence the target project during its execution. This paper deals critical chain project scheduling, which addresses greenality to encourage the efficient use of resources required for the project. Results of computational simulation demonstrate the applicability and effectiveness of the proposed scheduling method.

Cite this article as:
Daisuke Morita and Haruhiko Suwa, “An Optimization Method for Critical Chain Scheduling Toward Project Greenality,” Int. J. Automation Technol., Vol.6, No.3, pp. 331-337, 2012.
Data files:
  1. [1] Association for Manufacturing Excellence, “Green Manufacturing: Case Studies in Lean and Sustainability,” Productivity Press, NY, 2008.
  2. [2] R. Maltzman and D. Shirley, “Green Project Management,” CRC Press, FL, 2011.
  3. [3] E.M. Goldratt, “Critical Chain,” The North River Press, MA, USA, 1997.
  4. [4] W. S. Herroelen and R. Leus, “On the Merits and Pitfalls of Critical Chain Scheduling,” J. of Operations Management, Vol.19, No.5, pp. 559-577, 2001.
  5. [5] V. J. Chelson, C. A. Payne, and R. P. Reavill, “Management for Engineers Scientists and Technologists,” Wiley, Chichester England, 2004.
  6. [6] D. Waters, “Inventory Control and Management,” Wiley and Sons, New York, 2003.
  7. [7] S. Hartmann and D. Briskorn, “A survey of variants and extensions of the resource-constrained project scheduling problem,” European J. of Operational Research, Vol.207, No.1, pp. 1-14, 2010.
  8. [8] P. Brucker and S. Knust, “Complex Scheduling,” Springer Verlag, Berlin, 2006.
  9. [9] E. Demeulemeester and W. Herroelen, “Project Scheduling (A Research Handbook ),” Kluwer Academic Publishers, 2002.
  10. [10] R. Kolisch and R. Padman, “An integrated survey of deterministic project scheduling,” OMEGA Int. J. of Management Science, Vol.29, No.3, pp. 249-272, 2001.
  11. [11] D. Morita and H. Suwa, “An Activity Duration Estimation Method Aiming at Enhancing Schedule Stability in Project Management,” The J. of the Institute of Systems, Control and Information Engineers (ISCIE), Vol.25, No.6, 2012.
  12. [12] T. Ibaraki, “Enumerative Approaches to Combinatorial Optimization,” Annals of Operations Research, Vols.10 and 11, J. C. Baltzer A. G., Basel, 1987.
  13. [13] B. Gendron and T. G. Crainic, “Parallel branch and bound algorithms: Survey and synthesis,” Operations Research, Vol.42, No.6, pp. 1042-1066, 1994.
  14. [14] R. Kolisch and A. Sprecher, “PSPLIB – A Project Scheduling Problem Library,” European J. of Operational Research, Vol.96, No.1, pp. 205-216, 1997.
  15. [15] R. Kolisch and S. Hartmann, “Experimental investigation of heuristics for resource-constrained project scheduling: An update,” European J. of Operational Research, Vol.174, No.1, pp. 23-37, 2006.
  16. [16] K. Nonobe and T. Ibaraki, “Formulation and tabu search algorithm for the resource constrained project scheduling problem,” C. C. Ribeiro and P. Hansen (Eds.), Essays and Surveys in Metaheuristics, pp. 557-588, Kluwer Academic Publishers, 2002.

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Last updated on Feb. 25, 2021