Multi-agent technology for scheduling and control projects in multi-project environments. An Auction based approach

Araúzo, José Alberto Araúzo; Galán, José Manuel; Pajares, Javier; López-Paredes, Adolfo

doi:10.4114/ia.v13i42.1042

Cited by 18 publications

(8 citation statements)

References 22 publications

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“…Management in Scrum is done in a more informal manner through the daily stand-up meetings, the sprint planning meetings, the sprint review and the retrospective meetings. However, the auction mechanism proposed by Bodea and Niculescu (2007) and later by Arauzo et al (2009) can be a potential candidate to manage the activities in Scrum in order to reduce the workload on the Scrum teams. In the Scrum's sprint planning ceremony, the scrum participants agrees on a subset of the product backlog items that will be progressed in the next sprint.…”

Section: Software Agents and The Scrum Methodologymentioning

confidence: 99%

Design of A Multi-Agent System Architecture for the Scrum Methodology

Gunga¹,

Kishnah²,

Pudaruth³

2013

IJSEA

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The objective of this paper is to design a multi-agent system architecture for the Scrum methodology. Scrum is an iterative, incremental framework for software development which is flexible, adaptable and highly productive. An agent is a system situated within and a part of an environment that senses the environment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in the future (Franklin and Graesser, 1996)

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Section: Software Agents and The Scrum Methodologymentioning

confidence: 99%

Design of A Multi-Agent System Architecture for the Scrum Methodology

Gunga¹,

Kishnah²,

Pudaruth³

2013

IJSEA

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“…In recent years, multiagent systems have been used for resource scheduling in multiproject environments (Kumara et al 2002;Lee et al 2003;Confessore et al 2007). Arauzo et al (2009) employed an auction-based approach in multiagent systems for scheduling multiproject environments. In auction protocol, derived from auction theory, a single element (i.e., auctioneer) decides on the allocation of resources among agents, once the agents submit their preferences over alternative allocations (Chevaleyre et al 2006).…”

Section: Previous Work In Resource Constrained Multiproject Schedulingmentioning

confidence: 99%

Simulation-Based Multiagent Approach for Scheduling Modular Construction

Taghaddos

Hermann

AbouRizk

et al. 2014

J. Comput. Civ. Eng.

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Modular construction is a common practice for building industrial plants, particularly in the oil sands region of Alberta, Canada. Each module is a project with its own activities and constraints. These modules are prefabricated offsite, at a location called the module assembly yard, and then shipped to the site. Effective scheduling of modules of an industrial plant involves developing a realistic schedule that makes best use of limited resources in the yard while satisfying the constraints and uncertainties of the entire project. Scheduling such large-scale, multiunit projects using commercial CPM-based scheduling applications (e.g., Primavera, Microsoft Project) is not effective. In previous work, we have introduced a hybrid framework, called simulation-based auction protocol (SBAP), for effective resource scheduling in large-scale projects. The present study employs the SBAP framework for effective allocation of resources (e.g., space, skilled crew) and for satisfaction of various constraints. This system pulls data from a comprehensive database, runs the simulation model behind the scenes, and generates various graphical reports to aid superintendents and project managers in pertinent project decisions. The developed system is also capable of scheduling the fast-track modular construction projects with limited data available, doing effective resource leveling, and scheduling resources (e.g., space, crew) effectively based on various shifts and calendars. The described case study in this paper demonstrates the capabilities of the developed system for planning the module assembly yards.

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“…Many attempts have been conducted to improve the project scheduling problem [2][3][4][5][6], and each of them endeavors to offer an optimized schedule for a given project. Simulation is one of the techniques that has been successfully applied to project planning, e.g.…”

Section: Introductionmentioning

confidence: 99%

Modeling Human Decision Behaviors for Accurate Prediction of Project Schedule Duration

Lazarova-Molnar

Mizouni

2010

Lecture Notes in Business Information Processing

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Abstract. Simulation techniques have been widely applied in many disciplines to predict duration and cost of projects. However, as projects grew in size, they also grew in complexity making effective project planning a challenging task. Despite several attempts to achieve accurate predictions, simulation models in use are still considered to be oversimplified. They often fail to cope with uncertainty due to the complex modeling of the high number of interrelated factors. In this paper we propose a simulation model to cope with human resources uncertainty. We use the proxel-based simulation method to analyze and predict duration of project schedules exhibiting high uncertainty and typical human resources reallocation. The proxel-based simulation is an approximate simulation method that is proven to be more precise than discrete-event simulation. To model uncertainty, we introduce a new type of task, statedependent (floating) task that supports and demonstrates a high degree of uncertainty in human resources allocation. In fact, it allows attributing different probability distributions to the same activity, depending on the team that may perform it. We use software development scheduling to illustrate our approach.

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Multi-agent technology for scheduling and control projects in multi-project environments. An Auction based approach

Cited by 18 publications

References 22 publications

Design of A Multi-Agent System Architecture for the Scrum Methodology

Design of A Multi-Agent System Architecture for the Scrum Methodology

Simulation-Based Multiagent Approach for Scheduling Modular Construction

Modeling Human Decision Behaviors for Accurate Prediction of Project Schedule Duration

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