Project Management Software

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Frederik Ahlemann - One of the best experts on this subject based on the ideXlab platform.

  • towards a conceptual reference model for Project Management information systems
    International Journal of Project Management, 2009
    Co-Authors: Frederik Ahlemann
    Abstract:

    Project Management information systems have changed considerably over the last decade. They no longer focus on scheduling and resource Management alone. Instead, they have become comprehensive systems that support the entire life-cycle of Projects, Project programs, and Project portfolios. In this context, Project-oriented organizations are facing a new challenge: the design, implementation, and operation of Project Management information systems have become increasingly complex. Numerous processes have to be considered, diverse stakeholder interests taken into account, and corresponding Software systems selected. The reference information model (RefModPM) presented in this article addresses this challenge and aims to accelerate the set-up of Project information systems. RefModPM was developed with the help of 13 domain experts from German and Swiss enterprises. Furthermore, it is based on an analysis of 28 commercial Project Management Software systems. RefModPM has already been applied in several Projects and is the basis of the forthcoming German DIN norm for a standardized Project Management data model.

Jānis Grabis - One of the best experts on this subject based on the ideXlab platform.

  • combining Project requirements and knowledge in configuration of Project Management information systems
    Product Focused Software Process Improvement, 2011
    Co-Authors: Solvita Bērziša, Jānis Grabis
    Abstract:

    Packaged Software applications are often used to implement Project Management information systems. These applications should be configured according to requirements of the particular Project. This paper describes the Project Management information systems configuration approach, which is based on the standardized definition of Project Management requirements and utilization of knowledge in the configuration process. The objective of the paper is to demonstrate application of this approach in configuration of several Project Management Software applications to validate reusability of the standardized specification. As the result, three alternative Project Management Software applications have been configured and specific challenges in configuration of these applications have been identified.

Rifat Sonmez - One of the best experts on this subject based on the ideXlab platform.

  • hybrid genetic algorithm with simulated annealing for resource constrained Project scheduling
    Journal of Management in Engineering, 2015
    Co-Authors: Onder Halis Bettemir, Rifat Sonmez
    Abstract:

    AbstractResource-constrained Project scheduling problem (RCPSP) is a very important optimization problem in construction Project Management. Despite the importance of the RCPSP in Project scheduling and Management, commercial Project Management Software provides very limited capabilities for the RCPSP. In this paper, a hybrid strategy based on genetic algorithms, and simulated annealing is presented for the RCPSP. The strategy aims to integrate parallel search ability of genetic algorithms with fine tuning capabilities of the simulated annealing technique to achieve an efficient algorithm for the RCPSP. The proposed strategy was tested using benchmark test problems and best solutions of the state-of-the-art algorithms. A sole genetic algorithm, and seven heuristics of Project Management Software were also included in the computational experiments. Computational results show that the proposed hybrid strategy improves convergence of sole genetic algorithm and provides a competitive alternative for the RCPSP...

Pilar Tormos - One of the best experts on this subject based on the ideXlab platform.

  • analysis of scheduling schemes and heuristic rules performance in resource constrained multiProject scheduling
    Annals of Operations Research, 2001
    Co-Authors: Antonio Lova, Pilar Tormos
    Abstract:

    Frequently, the availability of resources assigned to a Project is limited and not sufficient to execute all the concurrent activities. In this situation, decision making about their schedule is necessary. Many times this schedule supposes an increase in the Project completion time. Additionally, companies commonly manage various Projects simultaneously, sharing a pool of renewable resources. Given these resource constraints, we often can only apply heuristic methods to solve the scheduling problem. In this work the effect of the schedule generation schemes – serial or parallel – and priority rules – MINLFT, MINSLK, MAXTWK, SASP or FCFS – with two approaches – multi-Project and single-Project – are analysed. The time criteria considered are the mean Project delay and the multiProject duration increase. Through an extensive computational study, results show that with the parallel scheduling generation scheme and the multi-Project approach the Project manager can obtain a good multiProject schedule with the time criterion selected: minimising mean Project delay or minimising multiProject duration increase. New heuristics – based on priority rules with a two-phase approach – that outperform classical ones are proposed to minimise mean Project delay with a multi-Project approach. Finally, the best heuristics analysed are evaluated together with a representative sample of commercial Project Management Software.

  • a multicriteria heuristic method to improve resource allocation in multiProject scheduling
    European Journal of Operational Research, 2000
    Co-Authors: Antonio Lova, Concepcion Maroto, Pilar Tormos
    Abstract:

    Abstract Many works published in the area of Project Management make reference to the scheduling of single Projects and time objectives like minimising Project duration. Nevertheless, frequently companies manage various Projects which share a pool of constrained resources, taking into account other objectives in addition to time. In order to add flexibility in using Project scheduling tools, we have developed a multicriteria heuristic that improves lexicographicly two criteria: one time type – mean Project delay or multiProject duration increase – and one no time type – Project splitting, in-process inventory, resource levelling or idle resources – that can be chosen by the user. The multicriteria heuristic algorithm consists of several algorithms based on the improvement of multiProject feasible schedules. Through an extensive computational study, we have shown that this method improves the feasible multiProject schedule obtained from heuristic methods based on the priority rules coded Maximum Total Work Content (MAXTWK) and Minimum Latest Finish Time (MINLFT) as well as Project Management Software – Microsoft Project, CA-SuperProject, Time Line and Project Scheduler.

Leon Lh Kroep - One of the best experts on this subject based on the ideXlab platform.

  • human resource allocation in a multiProject r d environment resource capacity allocation and Project portfolio planning in science
    International Journal of Project Management, 1999
    Co-Authors: Mha Martien Hendriks, Bas B Voeten, Leon Lh Kroep
    Abstract:

    Abstract In their strive for more effective usage of scarce resources R&D organisations tend to seek the solution in forecasting in more spliced tasks and by allocating the most skilled person for such a small task. To get this done the aid of sophisticated Project Management Software is evaluated on the possibilities of coupling these fine day-to-day tasks to the Project portfolio plan as presented in the business plan. During the study by the authors of this article on how to optimise an existing resource allocation process in a large R&D organisation it was found that a breakthrough in the allocation method could be made by introducing two indicators: namely, the Project scatter factor and the resource dedication profile . By giving attention to these indicators the resource allocation process was significantly simplified and, the most important, better Project and business results were made.