A matrix-based flexible project-planning library and indicators

Kosztyán, Zsolt Tibor; Novák, Gergely; Jakab, Róbert; Szalkai, István; Hegedűs, Csaba

doi:10.1016/j.eswa.2022.119472

Cited by 7 publications

(10 citation statements)

References 47 publications

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“…The proposed matrix-based model addresses cost and nonrenewable demands and quality parameters and manages multiple completion modes and multilevel projects. Nevertheless, to ensure a good comparison between simulated and real-life projects, Kosztyán et al (2023) examined mainly single-project, single-mode environments with time and renewable-resource demands. The proposed parsers also collect data on multiprojects and multimodal completion modes.…”

Section: Impactmentioning

confidence: 99%

Matrix-based project dataset parsers

Kosztyán,

Novák

2024

Preprint

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There are several existing project datasets, which involve separate data sources for simulated and real projects, individual and multiprojects, and single- and multimodal attributes. In addition, their file structures are heterogeneous; therefore, scholars can usually use only one dataset to test a proposed scheduling or resource allocation algorithm. Since the internal structures of these projects are also very different, it is difficult to ensure that an algorithm optimized for a given type of project will also perform well on projects with other structures. The parser we propose can read several types of projects: simulated, real, individual, and multiprojects, as well as single- and multimodal attributes. In addition, it can consider the priorities of activities and the flexibility of their dependencies, which is essential for modeling the structural flexibility employed by agile, hybrid, and extreme project management approaches. Thus, researchers can build a large project database for testing and comparing different scheduling and resource allocation algorithms.

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Section: Impactmentioning

confidence: 99%

Matrix-based project dataset parsers

Kosztyán,

Novák

2024

Preprint

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“…The main shortcomings of these databases are that (1) they are quite heterogeneous in terms of file structures and project characteristics 10 ; (2) Important features, e.g., quality and priorities, are not included; (3) It is difficult to add data that cannot be directly linked to activities, e.g., skills, organizational hierarchies, responsibilities, etc. ; (4) They completely neglect flexibility issues of the project, such as completion priorities and flexible dependencies.…”

Section: Background and Summarymentioning

confidence: 99%

“…To address this gap, we employed a recently published 10 matrix-based UMP model that can store (1) single- and multimodal projects, (2) individual and multiprojects, and (3) fixed and flexible projects. In addition, features such as quality parameters, costs, and nonrenewable resources can be assigned to tasks as new domains (submatrices).…”

Section: Background and Summarymentioning

confidence: 99%

“…The classic resource-constrained project scheduling problem (RCPSP) and its extensions for multiple projects (RCMPSP) and multiple completion modes (MRCPSP) or both (MRCMPSP) are well known in the literature and are suitable for various practical scenarios. Recent extensions incorporating multiple skills 11 , flexible resource profiles 15 , task priorities, and flexible dependencies 10 have gained significant attention. These advancements have highlighted the necessity of additional attributes in project scheduling models and the importance of model standardization 16 .…”

Section: Background and Summarymentioning

confidence: 99%

“…We refer to Kosztyán et al . 10 for a detailed description of the applied indicators. The order strength (OS) indicator provided the most uniform coverage of values and was therefore selected for the horizontal axis, while the complexity of network coefficient (CNC) indicator was normalized to the [0,1] range for comparison.…”

Section: Technical Validationmentioning

confidence: 99%

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Compound Matrix-Based Project Database (CMPD)

Kosztyán,

Novák

2024

Sci Data

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The impact of projects is vital, from business operations to research to the national economy. Therefore, management science and operation research have extensively studied project scheduling and resource allocation for over six decades. Project databases were proposed to test algorithms, including simulated or real, single or multiprojects, and single-mode or multi-mode projects. However, the dozens of project databases are extremely heterogeneous regarding the file structure and the features of the modeled projects. Furthermore, the efficiency and performance of project scheduling and resource allocation algorithms are susceptible to the characteristics of projects. Therefore, the proposed Compound Matrix-Based Project Database (CMPD) collects and consolidates the most frequently used project databases. The proposed Unified Matrix-Based Project-Planning Model (UMP) sparse matrix-based model enables the addition of new features to existing project structures, such as completion priorities, structural flexibility, and quality parameters, to broaden the scope of considered projects and to take account of flexible approaches, such as agile, extreme, and hybrid projects.

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