• Title/Summary/Keyword: work schedule

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Occupational Exposure Monitoring for Diesel Particulate Matter Using Two Sampling Methods (디젤입자 채취를 위한 방법의 비교)

  • Lee, Su Gil;Jankewicz, Ganyk;Lee, Nae Woo
    • Journal of the Korean Society of Safety
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    • v.35 no.6
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    • pp.9-14
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    • 2020
  • This study was to compare the sampling efficiencies for monitoring of diesel particulate matter (DPM) using two different sampling methods; In-House PVC cyclone sampling heads and commercial airborne DPM (EC) sampling heads mounted on Dorr-Oliver cyclone heads. Personal exposure levels of DPM, analysed for elemental carbon (EC) were 0.004 - 0.2 mg/m3 for the loader drivers and 0.005 - 0.34 mg/m3 for the specialised mining vehicle (SMV) drivers were similar to previous study results. The highest result (0.34 mg/m3) might be from an irregular production schedule and multiple job tasks requested. The results using the two sampling heads were not significantly different and it is thought that the In-House PVC cyclone with 37 mm quartz filter could be used in place of the commercial sampler as a preliminary screen in place of using the commercial sampler.

The Smart Port Management System Based on Big-data (빅데이터 기반 스마트 항만 운용시스템)

  • Lee, Woo;Kim, Sang-Hyun;Oh, Seung-Hong;Kim, Won-Jung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.1
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    • pp.167-172
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    • 2022
  • Currently, ship control, tug, and pilot work in import/export ports including Gwangyang Port are operated according to factors such as the order of arrival and departure regardless of the shipping company. Also, even this is done very inefficiently by hand. Therefore, there is an urgent need to develop a system to increase the efficiency of port and ship operation through standardization and digitalization of tasks related to Berthing and unberthing of ships. In this study, we propose a method to increase the efficiency of port and vessel operation by designing a smart port operation system based on big data such as vessel location information, pilotage and tug schedule, arrival/departure operation information, and weather information.

A Suggestion of Contingency Guidelines According to ISDC Based on Overseas Contingency Data

  • Minhee Kim;Chang-Lak Kim;Sanghwa Shin
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.20 no.4
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    • pp.541-550
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    • 2022
  • When decommissioning nuclear power plant (NPP), the first task performed is cost estimation. This is an important task in terms of securing adequate decommissioning funds and managing the schedule. Therefore, many countries and institutions are conducting continuous research and also developing and using many programs for cost estimation. However, the cost estimated for decommissioning an NPP typically differs from the actual cost incurred in its decommissioning. This is caused by insufficient experience in decommissioning NPPs or lack of decommissioning cost data. This uncertainty in cost estimation can be in general compensated for by applying a contingency. However, reflecting an appropriate standard for the contingency is also difficult. Therefore, in this study, data analysis was conducted based on the contingency guideline suggested by each institution and the actual cost of decommissioning the NPP. Subsequently, TLG Service, Inc.'s process, which recently suggested specific decommissioning costs, was matched with ISDC (International Structure for Decommissioning Costing)'s work breakdown structure (WBS). Based on the matching result, the guideline for applying the contingency for ISDC's WBS Level 1 were presented. This study will be helpful in cost estimation by applying appropriate contingency guidelines in countries or institutions that have no experience in decommissioning NPPs.

IOT Intelligent Watering Sensor For Indoor Plant

  • Hana, Mujlid;Haneen Daifallah, Alghamdi;Hind Abdulaziz, Alkharashi;Marah Awadh, Alkhaldi
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.171-177
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    • 2022
  • The number of people who own indoor plants is growing today, but as a result of their busy lifestyles-such as work or travel-as well as a lack of enthusiasm in caring for their plants, their plants wither. The use of an irrigation control system with a surveillance camera can assist such folks in taking care of their plants. Such a device can assist in remotely watering plants at predetermined times and checking on the health of the plants. The proprietors would be able to live comfortably without feeling bad thanks to this change. Internet access is required for this technology in order to monitor the plants and control the watering through apps. A sensor is installed in the soil to monitor soil humidity and send data to the microcontroller for irrigation, allowing the owner to schedule irrigation as they see fit and keep an eye on their plants all day. With the use of a remote irrigation control system, the plants will grow properly and be irrigated with the proper amount of water, and the owners will be so glad and delighted to watch their plants. Knowing the time and quantity of water are vital parts of the plant growth.

Reading Habits and Library Use among Students in Colleges of Education in Ghana: A Case of Two Colleges of Education, Ghana

  • Deborah Kore Appiah;Christiana Oduraa Kwaah;Franklina Adjoa Yebowaah
    • International Journal of Knowledge Content Development & Technology
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    • v.13 no.1
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    • pp.7-25
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    • 2023
  • This paper presents the outcome of a survey done in two colleges of education in Kumasi, Ghana to determine the reading habits of students. A questionnaire was conveniently administered to the third-year students of Wesley College of Education and St. Louis College of Education all in Kumasi the capital of Ashanti Region of Ghana. One hundred and sixty-two copies of the questionnaire were administered to the students in the two colleges. The study found that both parents and tutors influence students reading at the same rate, in both colleges students read an average of one book in two months which was not encouraging with the most preferred reading materials being course books followed by textbooks and fiction. Their purpose of reading is to broaden their knowledge, and to pass examination. They choose busy schedule on campus and too much academic work as the reasons which affect their reading habits. Furthermore, it was revealed that, too much family responsibilities and lack of conducive environment were major constraints that restrict their reading at home. The study recommends the following to enhance reading habits of the students: parents should create healthy surrounding for learning; students should also be motivated to read through the formation of reading clubs and group presentation of assignment.

A Study on Total Production Time Prediction Using Machine Learning Techniques (머신러닝 기법을 이용한 총생산시간 예측 연구)

  • Eun-Jae Nam;Kwang-Soo Kim
    • Journal of the Korea Safety Management & Science
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    • v.25 no.2
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    • pp.159-165
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    • 2023
  • The entire industry is increasing the use of big data analysis using artificial intelligence technology due to the Fourth Industrial Revolution. The value of big data is increasing, and the same is true of the production technology. However, small and medium -sized manufacturers with small size are difficult to use for work due to lack of data management ability, and it is difficult to enter smart factories. Therefore, to help small and medium -sized manufacturing companies use big data, we will predict the gross production time through machine learning. In previous studies, machine learning was conducted as a time and quantity factor for production, and the excellence of the ExtraTree Algorithm was confirmed by predicting gross product time. In this study, the worker's proficiency factors were added to the time and quantity factors necessary for production, and the prediction rate of LightGBM Algorithm knowing was the highest. The results of the study will help to enhance the company's competitiveness and enhance the competitiveness of the company by identifying the possibility of data utilization of the MES system and supporting systematic production schedule management.

Effective simulation-based optimization algorithm for the aircraft runway scheduling problem

  • Wided, Ali;Fatima, Bouakkaz
    • Advances in aircraft and spacecraft science
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    • v.9 no.4
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    • pp.335-347
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    • 2022
  • Airport operations are well-known as a bottleneck in the air traffic system, putting growing pressure on the world's busiest airports to schedule arrivals and departures as efficiently as possible. Effective planning and control are essential for increasing airport efficiency and reducing aircraft delays. Many algorithms for controlling the arrival/departure queuing area are handled, considering it as first in first out queues, where any available aircraft can take off regardless of its relative sequence with other aircraft. In the suggested system, this problem was compared to the problem of scheduling n tasks (plane takeoffs and landings) on a multiple machine (runways). The proposed technique decreases delays (via efficient runway allocation or allowing aircraft to be expedited to reach a scheduled time) to enhance runway capacity and decrease delays. The aircraft scheduling problem entails arranging aircraft on available runways and scheduling their landings and departures while considering any operational constraints. The topic of this work is the scheduling of aircraft landings and takeoffs on multiple runways. Each aircraft's takeoff and landing schedules have time windows, as well as minimum separation intervals between landings and takeoffs. We present and evaluate a variety of comprehensive concepts and solutions for scheduling aircraft arrival and departure times, intending to reduce delays relative to scheduled times. When compared to First Come First Serve scheduling algorithm, the suggested strategy is usually successful in reducing the average waiting time and average tardiness while optimizing runway use.

A Study on the Supply Process of Unit Modular Housing through a Comparison of Cases

  • Kim, Kyoon-Tai;Jun, Young-Hun;Kim, Tae-Yeong
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.411-414
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    • 2015
  • The purpose of this study is to conduct a comparative analysis between Korea and the United States of the supply process of unit modular housing at both the factory production phase and the transportation and lifting phase, as part of an attempt to invigorate the unit modular housing market in Korea. Unlike the practice in the United States, one of Korea's unique characteristics is that the floor is constructed with reinforced concrete and hot water heating system. To do this, the wet method in Korea is used that includes concrete placement, curing and constructing hot water floor heating system at the factory production phase, which results in a longer production time and also requires the lifting of heavier loads. In the United States, interior and exterior finishing works of modular housing are performed by different companies, and the distance between the unit module factory and the construction site is quite far. This kind of dualized production structure may cause confusion when it comes to schedule management, procurement management, and stock management. Moreover, problems caused by external environmental factors such as wind and rainfall were reported in the course of long-distance transportation. The results of this case comparison are expected to provide fundamental data that will reduce the amount of trial and error in the unit module production, transportation and lifting work in Korea, which has a comparatively small number of unit modular housing cases.

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Application of BIM-integrated Construction Simulation to Construction Production Planning

  • Chang, SooWon;Son, JeongWook;Jeong, WoonSeong;Yi, June-Seong
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.639-640
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    • 2015
  • Traditional construction planning based on historical data and heuristic adjustment can no longer incorporate all the operational details and guarantee the expected performance. The variation between the expected and the actual production leads to cost overruns or delay. Although predicting reliable productivity on construction site is getting more important, the difficulty of this increases. In this regard, this paper suggested to develop BIM-integrated simulation framework. This framework could predict productivity dynamics by considering factors affecting on construction productivity at operational phase. We developed the following processes; 1) enabling a BIM model to produce input data for simulation; 2) developing the construction operation simulation; 3) running simulation using BIM data and obtaining productivity results. The BIM-integrated simulation framework was tested with structural steel erection model because steel erection work is one of the most critical process influencing on the whole construction budget and duration. We could improve to predict more dynamic productivity from this framework, and this reliable productivity helps construction managers to optimize resource allocation, increase schedule reliability, save storage cost, and reduce material loss.

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Modular reactors: What can we learn from modular industrial plants and off site construction research

  • Paul Wrigley;Paul Wood;Daniel Robertson;Jason Joannou;Sam O'Neill;Richard Hall
    • Nuclear Engineering and Technology
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    • v.56 no.1
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    • pp.222-232
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    • 2024
  • New modular factory-built methodologies implemented in the construction and industrial plant industries may bring down costs for modular reactors. A factory-built environment brings about benefits such as; improved equipment, tools, quality, shift patterns, training, continuous improvement learning, environmental control, standardisation, parallel working, the use of commercial off shelf equipment and much of the commissioning can be completed before leaving the factory. All these benefits combine to reduce build schedules, increase certainty, reduce risk and make financing easier and cheaper.Currently, the construction and industrial chemical plant industries have implemented successful modular design and construction techniques. Therefore, the objectives of this paper are to understand and analyse the state of the art research in these industries through a systematic literature review. The research can then be assessed and applied to modular reactors.The literature review highlighted analysis methods that may prove to be useful. These include; modularisation decision tools, stakeholder analysis, schedule, supply chain, logistics, module design tools and construction site planning. Applicable research was highlighted for further work exploration for designers to assess, develop and efficiently design their modular reactors.