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A note on the selection of priority rules in software packages for project management

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Abstract

Various software packages for project management include a procedure for resource-constrained scheduling. In several packages, the user can influence this procedure by selecting a priority rule. However, the resource-allocation methods that are implemented in the procedures are proprietary information; therefore, the question of how the priority-rule selection impacts the performance of the procedures arises. We experimentally evaluate the resource-allocation methods of eight recent software packages using the 600 instances of the PSPLIB J120 test set. The results of our analysis indicate that applying the default rule tends to outperform a randomly selected rule, whereas applying two randomly selected rules tends to outperform the default rule. Applying a small set of more than two rules further improves the project durations considerably. However, a large number of rules must be applied to obtain the best possible project durations.

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References

  • Assad A, Wasil E (1986) Project management using a microcomputer. Compute Oper Res 13:231–260

    Article  Google Scholar 

  • Baumann P, Trautmann N (2015) Resource-constrained project scheduling with project management information systems. In: Schwindt C, Zimmermann J (eds) Handbook on project management and scheduling, vol 2., International handbooks on information systems. Springer, New york, pp 1385–1400

    Google Scholar 

  • Beşikci U, Bilge Ü, Gündüz U (2013) Resource dedication problem in a multi-project environment. Flex Serv Manuf J 25:206–229

    Article  Google Scholar 

  • Brucker P, Drexl A, Möhring R, Neumann K, Pesch E (1999) Resource-constrained project scheduling: notation, classification, models, and methods. Eur J Oper Res 112:3–41

    Article  MATH  Google Scholar 

  • De Wit J, Herroelen W (1990) An evaluation of microcomputer-based software packages for project management. Eur J Oper Res 49:102–139

    Article  Google Scholar 

  • Fang C, Kolisch R, Wang L, Mu C (2015) An estimation of distribution algorithm and new computational results for the stochastic resource-constrained project scheduling problem. Flex Serv Manuf J 27:585–605

    Article  Google Scholar 

  • Farid F, Manoharan S (1996) Comparative analysis of resource allocation capabilities of project management software packages. Proj Manag J 27:35–44

    Google Scholar 

  • Hartmann S (2013) Project scheduling with resource capacities and requests varying with time: a case study. Flex Serv Manuf J 25:74–93

    Article  Google Scholar 

  • Herroelen W (2005) Project scheduling–theory and practice. Prod Oper Manag 14:413–432

    Article  Google Scholar 

  • Johnson R (1992) Resource constrained scheduling capabilities of commercial project management software. Proj Manag J 22:39–43

    Google Scholar 

  • Kastor A, Sirakoulis K (2009) The effectiveness of resource levelling tools for resource constraint project scheduling problem. Int J Proj Manag 27:493–500

    Article  Google Scholar 

  • Khattab M, Søyland K (1996) Limited resource allocation in construction projects. Comput Ind Eng 31:229–232

    Article  Google Scholar 

  • Klein R (2000) Scheduling of resource-constrained projects. Kluwer, Boston

    Book  MATH  Google Scholar 

  • Kolisch R (1999) Resource allocation capabilities of commercial project management software packages. Interfaces 29(4):19–31

    Article  Google Scholar 

  • Kolisch R, Hempel K (1996) Experimentelle Evaluation der Kapazitätsplanung von Projektmanagementsoftware. Zeitschrift für betriebswirtschaftliche Forschung 48:999–1018

    Google Scholar 

  • Kolisch R, Sprecher A (1997) PSPLIB—a project scheduling problem library. Eur J Oper Res 96:205–216

    Article  MATH  Google Scholar 

  • Liberatore M, Pollack-Johnson B (2003) Factors influencing the usage and selection of project management software. IEEE Trans Eng Manag 50:164–174

    Article  Google Scholar 

  • Maroto C, Tormos P (1994) Project management: an evaluation of software quality. Int Trans Oper Res 1:209–221

    Article  Google Scholar 

  • Mellentien C, Trautmann N (2001) Resource allocation with project management software. OR Spectr 23:383–394

    Article  MathSciNet  MATH  Google Scholar 

  • Trautmann N, Baumann P (2009a) Project scheduling with precedence constraints and scarce resources: an experimental analysis of commercial project management software. In: Fleischmann B, Borgwardt KH, Klein R, Tuma A (eds) Operations research proceedings 2008, vol 2008. Springer, Berlin, pp 165–170

    Chapter  Google Scholar 

  • Trautmann N, Baumann P (2009b) Resource-allocation capabilities of commercial project management software: an experimental analysis. In: International conference on computers & industrial engineering, CIE 2009, IEEE, pp 1143–1148

  • White D, Fortune J (2002) Current practice in project management—an empirical study. Int J Proj Manag 20:1–11

    Article  Google Scholar 

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Correspondence to Norbert Trautmann.

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Baumann, P., Trautmann, N. A note on the selection of priority rules in software packages for project management. Flex Serv Manuf J 28, 694–702 (2016). https://doi.org/10.1007/s10696-016-9236-8

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