Displaying all 3 publications

  1. Norsyafiqah Mohamad, Masnita Misiran, Zahayu Md Yusof
    Businesses adopt queuing mechanism as it can improve efficiency and provide economic use of
    resources. Some business segment that normally adapted queuing theory include assessing staff
    scheduling, productivity, performance, and customers waiting time. This article will adopt queuing
    theory to current service provided by Department of Labour, Kuala Terengganu. As the department is
    committed to provide quality services to its customer, the level of satisfaction and current queueing
    time need to be investigated. To achieve this, four elements in queueing theory – arrival rate, the
    queuing discipline, the service and also the cost structure are utilized. Arrival rate is measured as way
    in which customer arrives at this department and entered for receiving a service. Single server queuing
    model is known as infinite queue length model (exponential service) was used in this study. This model
    is based on certain assumptions about queuing, as the arrivals are described by Poisson probability
    distribution and arrive from infinite population. This study has demonstrated that, majority of the
    customers are dissatisfied with services offered and the major cause of dissatisfaction is the long waiting
    time. Sunday shows the busiest day at Department of Labour, Kuala Terengganu when there are too
    many customers and duty officer faced a hectic day on Sunday, followed by Thursday and Wednesday.
    Department of Labour, Kuala Terengganu needed to do the other internal procedures for reducing
    waiting times and thus ensuring an effective services system. This study recommended of adding a new
    checkout counter and hiring another employee to help duty officer improve the operation at Department
    of Labour, Kuala Terengganu.
    Matched MeSH terms: Systems Theory
  2. Guangnan Z, Tao H, Rahman MA, Yao L, Al-Saffar A, Meng Q, et al.
    Work, 2021;68(3):871-879.
    PMID: 33612530 DOI: 10.3233/WOR-203421
    BACKGROUND: An isolated robot must take account of uncertainty in its world model and adapt its activities to take into account such as uncertainty. In the same way, a robot interaction with security and privacy issues (RISAPI) with people has to account for its confusion about the human internal state, as well as how this state will shift as humans respond to the robot.

    OBJECTIVES: This paper discusses RISAPI of our original work in the field, which shows how probabilistic planning and system theory algorithms in workplace robotic systems that work with people can allow for that reasoning using a security robot system. The problem is a general way as an incomplete knowledge 2-player game.

    RESULTS: In this general framework, the various hypotheses and these contribute to thrilling and complex robot behavior through real-time interaction, which transforms actual human subjects into a spectrum of production systems, robots, and care facilities.

    CONCLUSION: The models of the internal human situation, in which robots can be designed efficiently, are limited, and achieve optimal computational intractability in large, high-dimensional spaces. To achieve this, versatile, lightweight portrayals of the human inner state and modern algorithms offer great hope for reasoning.

    Matched MeSH terms: Systems Theory
  3. Lopez CA, Castillo LF, Corchado JM
    Sensors (Basel), 2021 Jan 06;21(2).
    PMID: 33418918 DOI: 10.3390/s21020328
    Internet of Things (IoT) should not be seen only as a cost reduction mechanism for manufacturing companies; instead, it should be seen as the basis for transition to a new business model that monetizes the data from an intelligent ecosystem. In this regard, deciphering the operation of the value creation system and finding the balance between the digital strategy and the deployment of technological platforms, are the main motivations behind this research. To achieve the proposed objectives, systems theory has been adopted in the conceptualization stage, later, fuzzy logic has been used to structure a subsystem for the evaluation of input parameters. Subsequently, system dynamics have been used to build a computational representation and later, through dynamic simulation, the model has been adjusted according to iterations and the identified limits of the system. Finally, with the obtained set of results, different value creation and capture behaviors have been identified. The simulation model, based on the conceptualization of the system and the mathematical representation of the value function, allows to establish a frame of reference for the evaluation of the behaviour of IoT ecosystems in the context of the connected home.
    Matched MeSH terms: Systems Theory
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