Reporting characteristics of automated project-management systems

Smith, Lee; Mills, Joan

doi:10.1016/0263-7863(83)90020-0

Cited by 6 publications

(3 citation statements)

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“…The application of AI in PM does, however, present some challenges despite its apparent advantages. For instance, AI-based systems may not be appropriate for small projects or those with limited resources since they require considerable data inputs to function properly (Singh & Haju, 2022;Smith & Mills, 1983;Elrajoubi, 2020). Concerns have been raised regarding the dependability, security, and capacity for complex task management of AI systems (Shaw et al, 2019;Najmaei & Kermani, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Project Management in the Era of Artificial Intelligence

Sahadevan

2023

ejtas

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This study discusses the advantages of AI integration in project management, specifically in areas such as resource allocation, decision-making, risk management, and planning. By interpreting vast amounts of data from various sources, AI provides project managers with valuable insights to make better decisions. Although some tasks can be automated, human intervention is necessary for accuracy and efficacy. Therefore, AI should complement human skills, not replace them. Project managers require analytics skills and stay updated on AI technology to integrate it effectively. Ultimately, this study highlights that AI integration can enhance productivity and efficient project delivery.

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Section: Literature Reviewmentioning

confidence: 99%

Project Management in the Era of Artificial Intelligence

Sahadevan

2023

ejtas

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“…organizing the schedule and estimating the project cost as well as allocating the activities responsibility and resources. [7]. Devi and Reddy reported that WBS is the fundamental step in project planning, cost estimation, scheduling and resource allocation [8].…”

Section: Work Breakdown Structurementioning

confidence: 99%

Improving the Work Breakdown Structure of the Plant Installation - Case: Asphalt Plant

Abujudeh

2018

IJEMS

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The improvement of the project management forced the industrial organizations to focus on using the project management techniques in their industry, to plan and control the workflow to achieve their targets, further to increase the satisfaction of their customers. One of the most common project management tools are used is the work breakdown structure (WBS), which provide a framework for the implementation of the project scope including project planning, scheduling, monitoring, control, and estimation. Depending on the top-down approach the project activities will be broken into smaller parts that can be measured and controlled during the project implementation. The well-defined construction of the structure contributes to making the project more realistic and visual. However, the misunderstanding of the project WBS among the project team creates deflection and misinterpretation of the project scope. The main issue of this research is to improve the WBS of the installation plan and develop a standard WBS for plant installation. The research was limited to Asphalt plant installation WBS as a case study to identify the weaknesses of the current WBS at the case company which leads to extra installation time and cost. The research is offering a template WBS based on the company logic, defining the frequent risks that affect the plant installation based on the WBS and suggesting a suitable response strategy by recommending a control framework to monitor and control the WBS schedule throughout all installation phases.

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“…As a generic term Automated Project Management (APM) summarizes all approaches for the most complete automation of PM tasks and activities. The use of the term can already be found in the early 1980s (Smith & Mills, 1983). From the available literature, we identified two different meanings of APM: as part of the related term Automated Project Management System (APMS) it focuses on special software systems supporting project scheduling and controlling in terms of time, resources and cost (Nicols, 1986).…”

Section: Introductionmentioning

confidence: 99%

Revisiting automated project management in the digital age – a survey of AI approaches

Auth

Jokisch

Dürk³

2019

OJAKM

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In this decade, remarkable progress has been made in the field of artificial intelligence (AI). Inspired by well-known services of cognitive assistance systems such as IBM Watson, Apple's Siri or Google Duplex, AI concepts and algorithms are widely discussed regarding their automation potentials in business, politics and society. At first glance, project management (PM) seems to be less suitable for automation due to the inherent uniqueness of projects by definition. However, AI is also creating new application possibilities in the PM area, which will be explored in this contribution by involving an extensive literature review as well as real-world examples. The objective of this article is to provide a current overview of AI approaches and available tools that can be used for automating tasks in business project management.

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Reporting characteristics of automated project-management systems

Cited by 6 publications

References 0 publications

Project Management in the Era of Artificial Intelligence

Project Management in the Era of Artificial Intelligence

Improving the Work Breakdown Structure of the Plant Installation - Case: Asphalt Plant

Revisiting automated project management in the digital age – a survey of AI approaches

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