Loading...
Search for: skill
0.01 seconds
Total 42 records

    Developing a Multi-Skilled Project Scheduling Problem Model Considering Costs

    , M.Sc. Thesis Sharif University of Technology Makhan, Mohammad Reza (Author) ; Shadrokh, Shahram (Supervisor)
    Abstract
    This research intends to investigate the multi-skilled project scheduling problems (MSPSP) considering staffs’ dynamic efficiency. In doing so, a mixed-integer nonlinear programming (MINLP) model is proposed, considering the influence of personnel learning and forgetting on activities duration. The more the staff spends time on their various skills, the more learned and efficient they will be on that skill (according to personal learning curves) so that they can complete new tasks less costly and more quickly. Most project-based organizations want to maximize value by finishing the projects efficiently and developing their staff’s competence through projects. Inherently, any... 

    Automatic Skill Learning Using Community Detection Approach

    , M.Sc. Thesis Sharif University of Technology Ghafoorian, Mohsen (Author) ; Beigy, Hamid (Supervisor)
    Abstract
    Reinforcement learning is a learning method that uses reward and penalty feedbacks, having no information about the right action. In this method, agent gets the state of environment and selects an action among its permissible set of actions, regarding its policy and the given state. Environment, expresses an evaluation, in form of a reinforcement signal and a change in state, as a response for agent’s action. Afterward, the agent updates its policy considering received signal in order to maximize its long term reward. Reinforcement learning rapidly converges to the optimal solution, only if there are few states and actions, but there are lots of domains that consist of too many states and... 

    Autonomous Skill Acquisition in Reinforcement Learning Based on Graph Clustering

    , M.Sc. Thesis Sharif University of Technology Taghizadeh, Nasrin (Author) ; Beigy, Hamid (Supervisor)
    Abstract
    Reinforcement Learning (RL) is a branch of machine learning that tries to improve agent’s behaviour through interaction with environment and receiving reinforcement signal. As the size of environment increases, decision-making would be more difficult and learning time will increase. On of the main approaches for decreasing learning complexity is to define skills. Skill is a behavioural unit consists of primitive actions. Humans learn and use a lot of skills in their life. Walking, eating, passing the door to reach kitchen and going to airport for travelling are examples of such skills that humans utilize them for daily activities. Agent can learn skills once and then uses them in other... 

    The Theoretical Design and Empirical Experimentation of a Systems Thinking Education Package Intended to Improve Learner Incentive

    , M.Sc. Thesis Sharif University of Technology Ghili, Soheil (Author) ; Mashayekhi, Ali Naghi (Supervisor)
    Abstract
    Systems Thinking is a key to improve the quality of decision making in various situations such as social, political, economic and managerial ones. Systems Thinking is considered a foundation of Organizational Learning and currently has a crucial and cultivating role in the management literature. Therefore, it is now critical for organizations to have people within them who are able to think systematically. This need for possessing Systems Thinkers in organizations highlights the importance of the education of Systems Thinking. An evidence for this is the growing importance of Systems Thinking Education in the Systems Thinking Literature. On the other hand, one of the most important issues in... 

    Analysis of Multi-skilled Labor Application in Multi-task Projects

    , M.Sc. Thesis Sharif University of Technology Khaghani, Farnaz (Author) ; Mortaheb, Mohammad Mehdi (Supervisor) ; Pourzahedi, Hossein (Co-Advisor)
    Abstract
    One of the main challenges construction industry face is the shortage of skilled labor. It is also one of the main reason of project’s delay. Many strategies including compensation payment, longer hiring duration and increase in wages has been proposed. Conventional scheduling assumes unlimited amount of resources or if consider the resource, is restricted to single-skilled resource. This is in contrast with real-world where workers may not be available at any time or they may possess a range of skills. Multiskilling is a workforce strategy that has been shown to reduce indirect labor cost, improve productivity and make the planning more realistic. Past researches proposed algorithms using... 

    Exact and Metaheuristic Solution for Multi-skilled Project Scheduling Problem with Regards to Set-up Time

    , M.Sc. Thesis Sharif University of Technology Barghi, Behrad (Author) ; Shadrokh, Shahram (Supervisor)
    Abstract
    Multi-mode resource-constrained project scheduling problem (MRCPSP) is considered one of the most complex and most frequently applied problems in the science field of project scheduling and the science of operations research, which recently a new version of it called multi-skilled project scheduling problem (MSPSP) has emerged in research studies. The purpose of this new problem is to schedule activities with respect to precedence relationships and resource constraints of the workforce types with multiple skills, such that the requirements of any activity for a subset of skills must be met by the qualified members of the project. In this study, in addition to observing the constraints and... 

    A System Dynamic Simulation Approach to Investigate Economic And Environment Factors Based on VUCA framework: A Case Study in Petrochemical Industry

    , M.Sc. Thesis Sharif University of Technology Monfaredi Jafarbagi, Aoun (Author) ; Hassannayebi, Erfan (Supervisor)
    Abstract
    To maintain adaptability, businesses should anticipate changes in their environment. The commonly employed forecasting method within corporate circles is the bottom-up approach, which relies on historical data for projecting future trends. However, research suggests that this approach often falls short of accurately reflecting real-world events. This has led to the adoption of dynamic systems modeling, a technique grounded in the assumption of stable conditions. This method effectively replicates the system's current state, thereby assisting in predicting future behaviors over a longer timeframe. The dynamic systems modeling approach was employed in this study, underscoring the imperative... 

    , M.Sc. Thesis Sharif University of Technology (Author) ; Khoei, Amir Reza (Supervisor) ; Mortaheb, Mohammad Mehdi (Co-Advisor)
    Abstract
    Construction is considered as a major industry with an important economic impact in every country because of its extensiveness, high working capital ratio, and rate of employment. The construction industry needs to incur expenses and take high risks. It's soundness is influenced by many factors, some of that are controllable, and some others are not. The stakeholders of construction projects try to maximize interests and reduce the cost and time of projects in every phase. Every year, a significant part of Iran’s national revenue is invested in construction projects and infrastructures. When construction projects become more extensive and complex, stakeholders are always looking for... 

    The Effect of Teaching Critico-Creative Thinking Skills on Iranian In-Service EFL Teachers’ Critical Thinking, Perception, and Attitude

    , M.Sc. Thesis Sharif University of Technology Rezghi, Mohammad Hossein (Author) ; Alemi, Minoo (Supervisor)
    Abstract
    In this millennium there has been a thought-provoking dispute over the inclusion of Critical Thinking (CT) programs into teaching syllabi; this inspiring challenge of change has led researcher to investigate the teachability and transferability of Critical Thinking. Thus, this study investigated whether explicit critical thinking instruction can foster critical thinking skills of in-service EFL teachers and enhance their disposition, perception and attitude. To fulfill the purposes of this study, California Critical Thinking Skill Tests (CCTST), EMI Critical Thinking Disposition Inventory, as well as perception and attitude questionnaires were utilized. The participants of this research were... 

    Practical Analysis Of Return to Education In Iran Supply And Demand Factors

    , M.Sc. Thesis Sharif University of Technology Sefidgaran, Mahyar (Author) ; Madanizadeh, Ali (Supervisor) ; Vesal, Mohammad (Supervisor)
    Abstract
    In this research supply and demand factors regarding skill premium, ratio of revenue of college to non-college workers, in years 1984 to 2012 have been investigated. Three periods 1984 to 1995, 1995 to 2005 and 2015 to 2012 can be identified. In all three periods relative supply of college workers has increased. Demand in the periods have been constant, increasing and decreasing respectively and with the effect of demand has led to decreasing, increasing and decreasing trend of skill premium in these periods respectively. Share of low skilled sectors like construction, trade and agriculture in second period declined which led to increased demand for high skilled labor .An opposite effect... 

    Are the Components of the Assessment Center of the Relevant Company Sufficiently Valid? The Case Study of a Public Company

    , M.Sc. Thesis Sharif University of Technology Rezvani Totkani, Zahra (Author) ; Tasavori, Misagh (Supervisor)
    Abstract
    The evaluation and selection of human resources is one of the most important management issues in organizations, and the importance of this issue increases when the evaluation and selection is related to managerial positions. Among the many methods that exist for evaluating and selecting human resources; The assessment center method is more useful for selecting candidates for management positions. The assessment center includes behavioral simulation exercises and competency where trained assessors observe and record behaviors and score competencies. The purpose of this research is to analyze and examine the fit of the model and the internal structure of the evaluation center in a government... 

    Utilizing social virtual reality robot (V2R) for music education to children with high-functioning autism

    , Article Education and Information Technologies ; Volume 27, Issue 1 , 2022 , Pages 819-843 ; 13602357 (ISSN) Shahab, M ; Taheri, A ; Mokhtari, M ; Shariati, A ; Heidari, R ; Meghdari, A ; Alemi, M ; Sharif University of Technology
    Springer  2022
    Abstract
    Virtual Reality (VR) technology is a growing technology that has been used in various fields of psychology, education, and therapy. One group of potential users of VR are children with autism who need education and have poor social interactions; this technology could help them improve their social skills through real-world simulation. In this study, we evaluated the feasibility of conducting virtual music education programs with automatic assessment system for children with autism at treatment/research centers without the need to purchase a robot, resulting in the possibility of offering schedules on a larger scale and at a lower cost. Intervention sessions were conducted for five children... 

    Using strongly connected components as a basis for autonomous skill acquisition in reinforcement learning

    , Article 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, 26 May 2009 through 29 May 2009 ; Volume 5551 LNCS, Issue PART 1 , 2009 , Pages 794-803 ; 03029743 (ISSN); 3642015069 (ISBN); 9783642015069 (ISBN) Kazemitabar, J ; Beigy, H ; Sharif University of Technology
    2009
    Abstract
    Hierarchical reinforcement learning (HRL) has had a vast range of applications in recent years. Preparing mechanisms for autonomous acquisition of skills has been a main topic of research in this area. While different methods have been proposed to achieve this goal, few methods have been shown to be successful both in performance and also efficiency in terms of time complexity of the algorithm. In this paper, a linear time algorithm is proposed to find subgoal states of the environment in early episodes of learning. Having subgoals available in early phases of a learning task, results in building skills that dramatically increase the convergence rate of the learning process. © 2009 Springer... 

    Test-retest reliability of postural stability measures during quiet standing in patients with a history of nonspecific low back pain

    , Article Biomedical Engineering - Applications, Basis and Communications ; Volume 22, Issue 3 , 2010 , Pages 255-262 ; 10162372 (ISSN) Mazaheri, M ; Salavati, M ; Negahban, H ; Parnianpour, M ; Sharif University of Technology
    2010
    Abstract
    As balance is the foundation for all voluntary motor skills, considerable research has been conducted to evaluate postural control in patients with low back pain (LBP). Although reliability is a population-specific property, to the authors' knowledge, there has been no study to determine the test-retest reliability of the center of pressure (COP) measures in the general population of LBP patients. As many as 11 patients with a history of nonspecific LBP randomly completed postural measurements with three levels of difficulty (rigid surface-eyes open, rigid surface-eyes closed, and foam surface-eyes closed) in two sessions. The COP data were used to calculate standard deviation of amplitude,... 

    Structured features in naive bayes classification

    , Article 30th AAAI Conference on Artificial Intelligence, AAAI 2016, 12 February 2016 through 17 February 2016 ; 2016 , Pages 3233-3240 ; 9781577357605 (ISBN) Choi, A ; Tavabi, N ; Darwiche, A ; Artificial Intelligence; Baidu; et al.; IBM; Infosys; NSF ; Sharif University of Technology
    AAAI press  2016
    Abstract
    We propose the structured naive Bayes (SNB) classifier, which augments the ubiquitous naive Bayes classifier with structured features. SNB classifiers facilitate the use of complex features, such as combinatorial objects (e.g., graphs, paths and orders) in a general but systematic way. Underlying the SNB classifier is the recently proposed Probabilistic Sentential Decision Diagram (PSDD), which is a tractable representation of probability distributions over structured spaces. We illustrate the utility and generality of the SNB classifier via case studies. First, we show how we can distinguish players of simple games in terms of play style and skill level based purely on observing the games... 

    Solving a new mixed integer non-linear programming model of the multi-skilled project scheduling problem considering learning and forgetting effect on the employee efficiency

    , Article IEEE International Conference on Industrial Engineering and Engineering Management ; 18 November , 2014 , Pages 400-404 ; ISSN: 21573611 ; ISBN: 9781479909865 Mehmanchi, E ; Shadrokh, S ; Sharif University of Technology
    Abstract
    In this paper, we propose a new mathematical programming model to tackle the multi-skilled project scheduling problem. Considering the effect of learning and forgetting on the human skills, an exponential learning function has been developed by assuming the efficiency of employees performing activities to be dynamic. Taking the nonlinearity of the function into account, we use separable programming to acquire an appropriate linear approximation for it. Moreover, the proposed model allows us to relax some of the binary variables linearly without any modifications. At the end, the final model is tested with some instances and is solved by CPLEX in order to confirm the implemented... 

    Social robots and teaching music to autistic children: Myth or reality?

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1 November 2016 through 3 November 2016 ; Volume 9979 LNAI , 2016 , Pages 541-550 ; 03029743 (ISSN) ; 9783319474366 (ISBN) Taheri, A ; Meghdari, A ; Alemi, M ; Pouretemad, Hr ; Poorgoldooz, P ; Roohbakhsh, M ; Sharif University of Technology
    Springer Verlag  2016
    Abstract
    Music-based therapy is an appropriate tool to facilitate multisystem development in children with autism. The focus of this study is to implement a systematic and hierarchical music-based scenario in order to teach the fundamentals of music to children with autism through a social robot. To this end, we have programmed a NAO robot to play the xylophone and the drum. After running our designed robot-assisted clinical interventions on three high-functioning and one low functioning autistic children, fairly promising results have been observed. We indicated that the high-functioning participants have learned how to play the musical notes, short sentences, and simple rhythms. Moreover, the... 

    Recent trends in application of chemometric methods for GC-MS and GC×GC-MS-based metabolomic studies

    , Article TrAC - Trends in Analytical Chemistry ; Volume 138 , 2021 ; 01659936 (ISSN) Feizi, N ; Hashemi Nasab, F. S ; Golpelichi, F ; Sabouruh, N ; Parastar, H ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Metabolomics is the science of studying small molecules (metabolites) in biological systems with the aim of getting insight into cells, biofluids and organisms. Chemometric methods are powerful tools to address data problems generated in metabolomic studies and to extract valuable information. This review focuses mainly on a range of chemometric methods used for processing of metabolomics data generated from gas chromatography-mass spectrometry (GC-MS) and comprehensive two-dimensional gas chromatography-mass spectrometry (GC × GC-MS). Herein, essential skills used for preprocessing of raw data, multivariate resolution, pattern recognition, variable selection and identification of... 

    Preemptive multi-skilled resource investment project scheduling problem: mathematical modelling and solution approaches

    , Article Computers and Chemical Engineering ; Volume 96 , 2017 , Pages 55-68 ; 00981354 (ISSN) Javanmard, S ; Afshar Nadjafi, B ; Akhavan Niaki, S. T ; Sharif University of Technology
    Abstract
    Many chemical production systems encounter with a functionally flexible workplace which need multi-skilled workers. This research integrates the multi-skilled project scheduling problem with the resource investment problem which aims to obtain concurrent optimal policy of project scheduling and skills’ recruitment. The objective of the proposed model is minimization of total recruitment cost for different levels of the skills. An integer programming formulation is developed for the problem, and it is validated through solving several small scale instances using the GAMS software. To tackle real-life problem scales, a genetic-based and a particle-swarm-based algorithm with calibrated... 

    Preemptive multi-skilled resource constrained project scheduling problem with hard/soft interval due dates

    , Article RAIRO - Operations Research ; Volume 53, Issue 5 , 2019 , Pages 1877-1898 ; 03990559 (ISSN) Maghsoudlou, H ; Afshar Nadjafi, B ; Akhavan Niaki, S. T ; Sharif University of Technology
    EDP Sciences  2019
    Abstract
    This paper considers a preemptive multi-skilled resource constrained project scheduling problem in a just-in-time environment where each activity has an interval due date to be completed. In this problem setting, resuming a preempted activity requires an extra setup cost, while each time unit violation from the given due date incurs earliness or tardiness penalty. Also, processing cost of each skill to execute any activity depends on the assigned staff member to accomplish the skill. The objective function of the model aims to minimize the total cost of allocating staff to skills, earliness-tardiness penalties and preemption costs. Two integer formulations are proposed for the model which...