Project Team Formation Based on Knowledge and Cooperation Degree

2010 ◽  
Vol 44-47 ◽  
pp. 3143-3147
Author(s):  
Xiao Rong Huang ◽  
Shun Sheng Guo ◽  
Li Bo Sun
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Calculation Method ◽  
Project Team ◽  
Team Formation ◽  
Individual Member ◽  
Formation Model ◽  
Collaborative Model ◽  
Team Members ◽  
Formation Problem

To aim at the project team formation problem, this study proposes a formation model based on knowledge and cooperation degree. The ability of individual member and cooperation degree of team members are considered. In addition ,it presents a way of measuring candidate’s ability about knowledge, and establishes a collaborative model to measure the cooperation degree between team members. Furthermore, a calculation method of knowledge and cooperation degree is proposed, and then a mathematical model is established. Finally it presented a solution base on Genetic Algorithm for this model.

Method for Improving the Efficiency of IT Project Management Using a Genetic Algorithm

2020 ◽  
Vol 26 (12) ◽  
pp. 673-682
Author(s):  
Yu. V. Vaynilovich ◽  
Keyword(s):  
Genetic Algorithm ◽  
Project Management ◽  
Project Team ◽  
It Project Management ◽  
Labor Input ◽  
Team Members ◽  
Software Complex ◽  
It Project ◽  
Project Participants ◽  
Cocomo Ii

The article is devoted to solving the current problem of improving the efficiency of IT project management processes. When managing IT projects, managers are faced with the problem of formation teams and distributing tasks among project participants in the face of the need to minimize costs and completion dates of an IT project. The lack of necessary methods and software doesn't allow the IT project Manager to adequately assess competences and skills of participants, their personal qualities, which leads to a decrease in the effectiveness of project management. The article proposes a method of improving the efficiency of IT project management, which differs by using a genetic algorithm to form project commands and assign team participants to project tasks. The efficiency criterion is the complexity and duration of the project and individual tasks using the COCOMO II method. When forming project teams, takes into account the level of technologies proficiency, experience with technologies, the coherence of the project team members, and the experience of similar developments of project participants. The level of technologies proficiency affects the level of labor input multiplier, experience with technologies — at the level of the multiplier, the coherence of the project team members — on the level of scale factor, the experience of similar development — on the level of the scale factors of the COCOMO II methodology. Taking into account the personal and psychological qualities of project participants reduces the risk of interpersonal conflicts within the team, which also reduces the duration of projects and the labor input of solving tasks. Research of personal and psychological qualities is carried out on the basis of automated tests. The test suite includes Rosenzweig, Belbin, Myers-Briggs, Thomas and Honey-Mumford tests. The developed method is implemented in a software complex for multilevel IT project management. Testing of the method and software complex was carried out within the framework of the students' learning practice of the specialty "Software engineering" of the Belarusian-Russian University. The use of the proposed method allowed to reduce the labor input of solving the tasks of training projects by 19.2 %, to reduce the project realization term by 10 %.

scholarly journals An improved Jaya algorithm with a modified swap operator for solving team formation problem

2020 ◽  
Vol 24 (21) ◽  
pp. 16627-16641
Author(s):  
Walaa H. El-Ashmawi ◽  
Ahmed F. Ali ◽  
Adam Slowik
Keyword(s):  
Optimization Algorithm ◽  
Heuristic Algorithms ◽  
Single Point ◽  
Real Life ◽  
Team Formation ◽  
Jaya Algorithm ◽  
African Buffalo ◽  
Team Members ◽  
Formation Problem ◽  
Swap Operator

Abstract Forming a team of experts that can match the requirements of a collaborative task is an important aspect, especially in project development. In this paper, we propose an improved Jaya optimization algorithm for minimizing the communication cost among team experts to solve team formation problem. The proposed algorithm is called an improved Jaya algorithm with a modified swap operator (IJMSO). We invoke a single-point crossover in the Jaya algorithm to accelerate the search, and we apply a new swap operator within Jaya algorithm to verify the consistency of the capabilities and the required skills to carry out the task. We investigate the IJMSO algorithm by implementing it on two real-life datasets (i.e., digital bibliographic library project and StackExchange) to evaluate the accuracy and efficiency of proposed algorithm against other meta-heuristic algorithms such as genetic algorithm, particle swarm optimization, African buffalo optimization algorithm and standard Jaya algorithm. Experimental results suggest that the proposed algorithm achieves significant improvement in finding effective teams with minimum communication costs among team members for achieving the goal.

A model for project team formation in complex engineering projects under uncertainty

Kybernetes ◽  
2017 ◽  
Vol 46 (7) ◽  
pp. 1131-1157 ◽  
Author(s):  
S. Mahdi Hosseini ◽  
Peyman Akhavan
Keyword(s):  
Knowledge Sharing ◽  
Programming Model ◽  
Project Team ◽  
Team Formation ◽  
Programming Approach ◽  
Chance Constrained Programming ◽  
Shipbuilding Industry ◽  
Content Type ◽  
Team Members ◽  
Multi Objective

Purpose This paper aims to develop a model for selecting project team members. In this model, while knowledge sharing among individuals is maximized, the project costs and the workload balance among employees are also optimized. Design/methodology/approach The problem of project team formation is formulated as a fuzzy multi-objective 0-1 integer programming model. Afterward, to deal with uncertainty in the decision-making on the candidates’ abilities and the project requirements, the fuzzy multi-objective chance-constrained programming approach is adopted. Finally, by combining the non-dominated sorting genetic algorithm II and the fuzzy simulation algorithms, a method is proposed to solve the problem. Findings The computational results of the proposed model in a case study of project team formation in a large Iranian company from the shipbuilding industry evidently demonstrated its effectiveness in providing Pareto-optimal solutions for the team composition. Originality/value Seemingly for the first time, this paper develops a model to optimize knowledge sharing and improve the project efficiency through the selection of appropriate project team members.

scholarly journals Mathematical model of software development project team composition optimization with fuzzy initial data

2021 ◽  
pp. 149-159
Author(s):  
Igor Kononenko ◽  
Hlib Sushko
Keyword(s):  
Mathematical Model ◽  
Software Development ◽  
Business Environment ◽  
Life Cycles ◽  
Project Team ◽  
Team Composition ◽  
Project Staff ◽  
Team Members ◽  
The Impact ◽  
Selection Of

Increasingly frequent changes in demand for products, reducing product life cycles, changes in the business environment during a crisis, the innovative nature of projects, the complexity of forecasting external and internal conditions, the impact of the human factor lead to increased uncertainty and inability to plan team activities with a given degree of accuracy. In this regard, the subject matter of the article is the task of creating an adaptive project team that can work effectively in the mentioned above conditions. This task is especially relevant for the sphere of software development. The sphere is dynamic and characterized by frequent changes in product requirements, technologies, working conditions, and restrictions on project implementation. Agile approaches are used to manage such projects, which can help the team respond to uncertainties and frequent changes. To date, there are many agile approaches to project management, but the issue of selecting team members in such approaches is insufficiently covered. Therefore, this work formalizes the task of deciding on the selection of software development team members, considering the uncertainty and subjectivity of the information that affects the selection of candidates for the team. The task of the work is to create a decision-making model based on the use of the mathematical apparatus of fuzzy sets and methods of operations research. Such a model should allow considering the uncertainty of estimates of project requirements and the level of competence of team candidates. The result is a mathematical model of a two-criterion constrained optimization problem. The first objective function is aimed at finding a team composition that maximizes the maximum competencies of its members. The second criterion is aimed at forming a team with the maximum sum of competencies for all indicators, considering the weight of each indicator. The first constraint assumes that at least one team member meets the competency requirements expressed by a specific indicator. Additionally, it is required that the available time fund of the team members allows the project to be completed on time. It considers the limitation on the salary of the team. Conclusions. Solving the problem in accordance with the proposed mathematical model will allow making a team as readily as possible to meet the existing and new requirements for the project staff. The last circumstance is especially important when implementing a software development projects.

scholarly journals PROJECT TEAM FORMATION AND DEVELOPMENT BASED ON THE IMPOVED COMPETENCE METHOD

2018 ◽  
Vol 6 (5) ◽  
pp. 334-339
Author(s):  
G. D. Kostina ◽  
A. V. Torgasheva
Keyword(s):  
Project Success ◽  
Simple Algorithm ◽  
Project Manager ◽  
Project Team ◽  
Team Formation ◽  
Team Members ◽  
Project Area ◽  
Mathematical Background ◽  
Optimization Task ◽  
Team Types

Creation of a project team is the first stage in the long sequence of all works which are related to the desired project. At this stage, a group of participants should be carefully chosen, based not only on their experience in the project area, but also on their compatibility and willingness to work together in a mutually helping way. In the paper, after a survey of related publications, project team types and characteristics are considered and arising problems are identified. These problems are related mainly to badly specified duties of team members, weak information links between them, fuzzy project goal and competition for dominance between members, It is found, that the project team formation can be viewed as a mathematically complex multi-criteria optimization task. A new method of team formation is proposed, which does not require deep mathematical background from the project manager. The method is based on the use of the competence technique. However, in contrast with the use of this technique in human resource management, the proposed method takes into account the important aspect of psychological compatibility of team members, which can appear to be the decisive factor in the project success. The method is presented as a simple algorithm which can be used by the project manager in the team formation.

scholarly journals Exploring the Relationship between Communication and Success of Construction Projects: The Mediating Role of Conflict

2021 ◽  
Vol 13 (8) ◽  
pp. 4513
Author(s):  
Summaira Malik ◽  
Muhammad Taqi ◽  
José Moleiro Martins ◽  
Mário Nuno Mata ◽  
João Manuel Pereira ◽  
...  
Keyword(s):  
Project Success ◽  
Negative Impact ◽  
Positive Impact ◽  
Construction Project ◽  
Project Team ◽  
Relationship Conflict ◽  
Team Members ◽  
Mediating Role ◽  
The Impact

The success of a construction project is a widely discussed topic, even today, and there exists a difference of opinion. The impact of communication and conflict on project success is an important, but least addressed, issue in literature, especially in the case of underdeveloped countries. Miscommunication and conflict not only hinder the success of a project but also may lead to conflicts. The focus of this paper was to examine the impact of communication on project success with the mediating role of conflict. By using SPSS, demographics, descriptive statistics and correlation were determined. Smart PLS version 3.0 was used for confirmatory factor analysis (CFA), internal accuracy and validity estimates, hypothesis checking and mediation testing. The results showed that formal communication has a negative impact on the success of a construction project, resulting in conflicts among project team members, whereas informal communication and communication willingness have a positive impact on project success because people tend to know each other, and trust is developed. Task, process and relationship conflicts were used as mediating variables. It was found that task conflict effects the relations positively because project team members suggest different ways to do a certain task, and, hence, project success is achieved. On the contrary, process conflict and relationship conflict have a negative impact on communication and project success. Both of these conflicts lead to miscommunication, and project success is compromised. Hence, it is the responsibility of the project manager to enhance communication among project team members and to reduce the detrimental effects of process and relationship conflict on project success.

Research on cargo-loading optimization based on genetic and fuzzy integration

2021 ◽  
Vol 40 (4) ◽  
pp. 8493-8500
Author(s):  
Yanwei Du ◽  
Feng Chen ◽  
Xiaoyi Fan ◽  
Lei Zhang ◽  
Henggang Liang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Three Dimensional ◽  
Distribution Center ◽  
Long Time ◽  
Low Efficiency ◽  
Decision Making Model ◽  
The Mathematical Model ◽  
Loading Scheme

With the increase of the number of loaded goods, the number of optional loading schemes will increase exponentially. It is a long time and low efficiency to determine the loading scheme with experience. Genetic algorithm is a search heuristic algorithm used to solve optimization in the field of computer science artificial intelligence. Genetic algorithm can effectively select the optimal loading scheme but unable to utilize weight and volume capacity of cargo and truck. In this paper, we propose hybrid Genetic and fuzzy logic based cargo-loading decision making model that focus on achieving maximum profit with maximum utilization of weight and volume capacity of cargo and truck. In this paper, first of all, the components of the problem of goods stowage in the distribution center are analyzed systematically, which lays the foundation for the reasonable classification of the problem of goods stowage and the establishment of the mathematical model of the problem of goods stowage. Secondly, the paper abstracts and defines the problem of goods loading in distribution center, establishes the mathematical model for the optimization of single car three-dimensional goods loading, and designs the genetic algorithm for solving the model. Finally, Matlab is used to solve the optimization model of cargo loading, and the good performance of the algorithm is verified by an example. From the performance evaluation analysis, proposed the hybrid system achieve better outcomes than the standard SA model, GA method, and TS strategy.

Study on the Calculation Method of Soil-Nailing for High Soil Slope Based on the Logarithmic Spiral Slippery Fracture

2011 ◽  
Vol 261-263 ◽  
pp. 1709-1713
Author(s):  
Meng Yang ◽  
Xiao Min Liu
Keyword(s):  
Mathematical Model ◽  
Stability Analysis ◽  
Engineering Design ◽  
Calculation Method ◽  
Logarithmic Spiral ◽  
Soil Nailing ◽  
Soil Slope ◽  
Mode Pattern ◽  
Shear Function

This paper introduces a new failure mode pattern of soil slope – the logarithmic spiral slippery fracture. A mathematical model for the logarithmic spiral slippery fracture is established, taking the anti-shear function of the soil-nailing into consideration. The shear of soil-nailing, axial force, and the safety coefficients based on the limiting equilibrium method are derived, leading to an accurate stability analysis of the strengthening of soil slope. A case study shows that the anti-shear function of the soil-nailing can be significant and should not be ignored in engineering design.

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