Project resources leveling using software agents

Different approaches to project planning and scheduling have been developed. The Operational Research (OR) approach provides two major planning techniques: CPM and PERT. Artificial Intelligence (AI) initially promoted the automatic planner concept. In order to plan a project, the automatic application of predefined operators is required. However, most domains are not so easily formalized in the form of predefined planning operators. The paper focus is on the agent-based approach to project planning and scheduling, especially in Resource Leveling issues. The authors have developed and implemented the ResourceLeveler system, an agent-based model for leveling project resources. The objective of Resource Leveler is to find a scheduling of resources similar to the optimal theoretical solution which takes into consideration all constraints stemming from the relationships between projects, activity calendars, resource calendars, resource allotment to the activities and resource availability. ResourceLeveler was developed in C# as a plug-in for Microsoft Project.project management, agent-based models, artificial intelligence, project resource leveling

Coordination approaches and systems - part I : a strategic perspective

This is the first part of a two-part paper presenting a fundamental review and summary of research of design coordination and cooperation technologies. The theme of this review is aimed at the research conducted within the decision management aspect of design coordination. The focus is therefore on the strategies involved in making decisions and how these strategies are used to satisfy design requirements. The paper reviews research within collaborative and coordinated design, project and workflow management, and, task and organization models. The research reviewed has attempted to identify fundamental coordination mechanisms from different domains, however it is concluded that domain independent mechanisms need to be augmented with domain specific mechanisms to facilitate coordination. Part II is a review of design coordination from an operational perspective

Optimization distribution of activity based costing using agent based technologies

The article describes a distribution of cost with base the activities that will result from the negotiations with the salesmen with base the use agent based technology. The purpose is to solve the optimization problem, taking into account constraints such as the salesmen capacity and income increase in a uniform way and the company’s turnover increase. In this approach a Sales schedule (ABC activity costing) is developed dynamically by all of the concerned participants. The negotiation methodology used allows agents to negotiate with other agents in a certain geographical area based on their sales capacity, commission percentage and the area’s sales turnover. A simulation model based on Repast3 has been developed to evaluate the algorithm accuracy and the system’s convergence. By executing this prototype with various utility functions, interesting results have been achieved showing a convergence in total company’s turnover, salesmen capacity and salesman income.peer-reviewe

Interactive and dialogue based learning in engineering education

This thesis focuses on a class room architecture that provides high levels of interactivity which enhances the students\u27 learning environment both in distance and on-campus contexts and forms a basis for practical learning. Two analyses are presented in this thesis, the first one being a simple measure of levels of interactivity in this course architecture, based on rubric and the second one, a comparative analysis, to demonstrate the effectiveness of interactive (multi-directional information flow) classrooms as opposed to conventional (unidirectional information flow) classrooms and that this course architecture is ideal for enhancement of distance learning and an excellent route to professional skills specified by ABET --Abstract, page iv

Analysis Of Aircraft Arrival Delay And Airport On-time Performance

While existing grid environments cater to specific needs of a particular user community, we need to go beyond them and consider general-purpose large-scale distributed systems consisting of large collections of heterogeneous computers and communication systems shared by a large user population with very diverse requirements. Coordination, matchmaking, and resource allocation are among the essential functions of large-scale distributed systems. Although deterministic approaches for coordination, matchmaking, and resource allocation have been well studied, they are not suitable for large-scale distributed systems due to the large-scale, the autonomy, and the dynamics of the systems. We have to seek for nondeterministic solutions for large-scale distributed systems. In this dissertation we describe our work on a coordination service, a matchmaking service, and a macro-economic resource allocation model for large-scale distributed systems. The coordination service coordinates the execution of complex tasks in a dynamic environment, the matchmaking service supports finding the appropriate resources for users, and the macro-economic resource allocation model allows a broker to mediate resource providers who want to maximize their revenues and resource consumers who want to get the best resources at the lowest possible price, with some global objectives, e.g., to maximize the resource utilization of the system

An integration framework for managing rich organisational process knowledge

The problem we have addressed in this dissertation is that of designing a pragmatic framework for integrating the synthesis and management of organisational process knowledge which is based on domain-independent AI planning and plan representations. Our solution has focused on a set of framework components which provide methods, tools and representations to accomplish this task.In the framework we address a lifecycle of this knowledge which begins with a methodological approach to acquiring information about the process domain. We show that this initial domain specification can be translated into a common constraint-based model of activity (based on the work of Tate, 1996c and 1996d) which can then be operationalised for use in an AI planner. This model of activity is ontologically underpinned and may be expressed with a flexible and extensible language based on a sorted first-order logic. The model combines perspectives covering both the space of behaviour as well as the space of decisions. Synthesised or modified processes/plans can be translated to and from the common representation in order to support knowledge sharing, visualisation and mixed-initiative interaction.This work united past and present Edinburgh research on planning and infused it with perspectives from design rationale, requirements engineering, and process knowledge sharing. The implementation has been applied to a portfolio of scenarios which include process examples from business, manufacturing, construction and military operations. An archive of this work is available at: http://www.aiai.ed.ac.uk/~oplan/cpf

A model for enhancing software project management using software agent technology

The present study has originated from the realisation that numerous software development projects either do not live up to expectations or fail outright. The scope, environment and implementation of traditional software projects have changed due to various reasons such as globalisation, advances in computing technologies and, last but not least, the development and deployment of software projects in distributed, collaborative and virtual environments. As a result, traditional project management methods cannot and do not address the added complexities found in this ever-changing environment. In this study the processes and procedures associated with software project management (SPM) were explored. SPM can be defined as the process of planning, organising, staffing, monitoring, controlling and leading a software project. The current study is principally aimed at making a contribution to enhancing and supporting SPM. A thorough investigation into software agent computing resulted in the realisation that software agent technology can be regarded as a new paradigm that may be used to support the SPM processes. A software agent is an autonomous system that forms part of an environment, can sense the environment and act on it over a period of time, in pursuit of its own agenda. The software agent can also perceive, reason and act by selecting and executing an appropriate action. The unique requirements of SPM and the ways in which agent technology may address these were subsequently identified. It was concluded that agent technology is specifically suited to geographically distributed systems, large network systems and mobile devices. Agents provide a natural metaphor for support in a team environment where cooperation and the coordination of actions toward a common goal, as well as the monitoring and controlling of actions are strongly supported. Although it became evident that agent technology is indeed being applied to areas and sections of the SPM environment, it is not being applied to the whole spectrum, i.e. to all core and facilitating functions of SPM. If software agents were to be used across the whole spectrum of SPM processes, this could provide a significant advantage to software project managers who are currently using other contemporary methods. The "SPMSA" model (Software Project Management supported by Software Agents) was therefore proposed. This model aims to enhance SPM by taking into account the unique nature and changing environment of software projects. The SPMSA model is unique as it supports the entire spectrum of SPM functionality, thus supporting and enhancing each key function with a team of software agents. Both the project manager and individual team members will be supported during software project management processes to simplify their tasks, eliminate the complexities, automate actions and enhance coordination and communication. Virtual teamwork, knowledge management, automated workflow management and process and task coordination will also be supported. A prototype of a section of the risk management key function of the SPMSA model was implemented as `proof of concept'. This prototype may be expanded to include the entire SPMSA model and cover all areas of SPM. Finally, the SPMSA model was verified by comparing the SPM phases of the model to the Plan-Do-Check-Act (PDCA) cycle. These phases of the SPMSA model were furthermore compared to the basic phases of software development as prescribed by the ISO 10006:2003 standard for projects. In both cases the SPMSA model compared favourably. Hence it can be concluded that the SPMSA model makes a fresh contribution to the enhancement of SPM by utilising software agent technology.School of ComputingPh. D. (Computer Science

Agent-Based Project Management

Integrated project management means that design and planning are interleaved with plan execution, allowing both the design and plan to be changed as necessary. This requires that the right effects of change are propagated through the plan and design. When this is distributed among designers and planners, no one may have all of the information to perform such propagation and it is important to identify what effects should be propagated to whom when. We describe a set of dependencies among plan and design elements that allow such notification by a set of message-passing software agents. The result is to provide a novel level of computer support for complex projects

Agent-Based Project Management

Integrated project management means that design and construction planning are interleaved with plan execution, allowing both the design and plan to be changed as necessary. This requires that the right eects of change need to be propagated through the plan and design. When this is distributed among designers and planners, no one may have all of the information to perform such propagation and it is important to identify what effects should be propagated to whom, and when. We describe a set of dependencies among plan and design elements that allow such notication by a set of message-passing software agents. The result is to provide a novel level of computer support for complex projects