Publisher: Phranakhon Rajabhat University (Total: 1 journals)   [Sort by number of followers]

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Industrial Technology Research J. Phranakhon Rajabhat University     Open Access  
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Industrial Technology Research Journal Phranakhon Rajabhat University
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2586-9728 - ISSN (Online) 2672-9229
Published by Phranakhon Rajabhat University Homepage  [1 journal]
  • Increasing the Efficiency of the Bottled Water Packaging Process Movement
           by Using the Kaizen Concept: Case Study Drinking Water Factory

    • Authors: Prasit Krai Lom Som, Thanakorn Myeong-amom, Worawit Leelamawan
      Abstract: Drinking clean, sterile and safe water will result in good health. At this time, there is a tendency for
      the demand of clean bottled water according to the increasing population. There are many bottled drinking
      water entrepreneurs which are aware of the importance of production that can respond to the customers
      need. Drinking Water Factory has the idea to increase the efficiency of the production process which has 6
      steps as follows: filling water into empty bottles, closing the lid of the bottle and put into the cart,
      transporting cart to the packaging room, arranging bottled water to the table, packaging wrapping, and air
      blowing procedures. From the above processes, there was a problem in the transporting to the packaging
      room process as it takes too much time. There are also redundant steps in transporting to the packaging
      wrapping room and arranging the bottled water to the table. The staff has put the water bottle with no
      systematic arrangement. Resulting in the process of arranging bottled water up the table taking too much
      time to sort the researcher therefore has an idea to increase the efficiency of the bottled water
      transportation process by using theKaizen concept: KAIZEN 7 QC Tool's and the PDCA quality management
      cycle. By using of blocks and conveyor rollers to arrange the bottles orderly and easily, the transporting
      process can significantly reduce work and process time.
      The research result shows that the improvement of packaging transporting process by blocks and
      conveyor rollers tools can improve the delay problem, reduce work, and reduce the time spent. The
      original process time before the improvement was 371.91 seconds and the time spent after the
      improvement reduced to 68.94 seconds or 81% less.

      PubDate: 2020-01-05
      Issue No: Vol. 3, No. 2 (2020)
       
  • Forecasting for Production Planning: Integrated Circuit Factory Case Study

    • Authors: Thanakorn Miengarom, Prasit Krailomsom, Wolawit Leelawan
      Abstract: This study aims to develop the forecasting production product for Integrated Circuit Industry by
      considering the production of three products; TM-001 TG-001 and RM-012 with Time Series Analysis that
      use 4 methods as follows; Trend Analysis Holt’s Trend-Corrected Exponential Smoothing Moving Average
      and Single Exponential Smoothing. The result form forecasting production data with Minitab 18.0. We
      found that Trend Analysis method was the best error measurement for product TM-001 TG-001 and RM012.

      PubDate: 2020-01-05
      Issue No: Vol. 3, No. 2 (2020)
       
  • Production Scheduling for Reduce the Process Time: A Case Study Warehouse

    • Authors: Thadawat Sriwilaiwat, Kantaphon Tantiwerabut, Anucha Hirunwat, Pasura Angkulanon
      Abstract: The objective of this research is to 1) assess the practical process in warehouse department 2)
      reduce the waste time of working process and 3) compare new methods with the existing method based
      on priority rules. The experimental results show the working time of first come first serve method was
      118.58 minutes and utilization were 0.82%. The shortest processing time method provided an average
      job working time decreased by 16.60% when comparing to the existing method and worker utilization
      increased by 7.51%. The longest processing time technique showed average job working time slightly
      decreased by 0.20% and worker utilization decreased to 1.62%. Critical ratio method increased the
      average job working time by 5.26 %, while worker utilization decreased to 4.27%. Least slack job rule
      reduced both the average job working time and worker utilization by 5.57% and 1.20%, respectively. The
      conclusion indicated that the shortest processing time technique was the most effective method due to
      better solutions.

      PubDate: 2020-01-05
      Issue No: Vol. 3, No. 2 (2020)
       
  • Deteriorated Lead-acid Battery Recovery Machine

    • Authors: Natthawat Woranetsutthikun, Isaree Srikun, Parichat Kaensom, Ratchanon Sudsra, Apimook Svanperthan
      Abstract: This research paper presents the design and construction of a depleted lead-acid battery
      regenerator, focusing on 12 V, 75 Ah automotive batteries in general automotive applications. By choosing
      to use a Buck converter circuit to generate a PWM signal to control the desired frequency and duty cycle.
      Using a frequency of 20 kHz and a high frequency pulse technique to stimulate the battery. The
      experiment will discharge before and after stimulation of the battery. To analyze energy storage and
      discharge by connecting to a 150 W load, the results obtained were analyzed and summarized. Before
      stimulation, energy is stored at 75 Wh after stimulation Store energy at 158 Wh Battery performance
      After the experiment, the efficiency was increased by 109%, in line with the objectives set by the special
      project team and in line with the relevant theories. Make the battery last longer than that
      PubDate: 2020-01-05
      Issue No: Vol. 3, No. 2 (2020)
       
  • Calculation of inverter for photovoltaic power system for residential
           building with program Visual Studio

    • Authors: Ouaychai Wongrat, Pichat Rattanaboontawee, Sitthut Madee, Adisak Thongchuay
      Abstract: The purpose of this project study Calculation of the inverter using Visual Studio 2017 program
      by means of collecting all data on the conversion of solar energy to AC from solar cells while the
      operation method starts from collecting data related to Battery calculation using pro visual studio 2017
      with electric equipment, fan size (45w), TV size (37w), washing machine (200w), light bulb (15w),
      fluorescent lamp (35W), air conditioner (1045w), pump. Water (400w) by inverter is used to convert DC
      to AC depending on the number of solar panels used.
      Therefore, from bringing various values Such as the electricity cost of electrical equipment inside
      the residential building and inputting data into visual studio2017 program found that the size of the
      battery of the photovoltaic power system 11610.82 Ah and I get 12 A, the total power is 327,835 w and
      will get 14 inverters of 25 kw to get a total watt of 350,000 w.

      PubDate: 2020-01-05
      Issue No: Vol. 3, No. 2 (2020)
       
  • Calculation of battery size for photovoltaic power system for residential
           building with program Visual Studio

    • Authors: Pichat Rattanaboontawee, Sitthut Madee, Ouaychai Wongrat, Adisak Thongchuay
      Abstract: This workflow study provides an idea of how to determine the size of the electrical system
      walking in a residential building by means of data collection and control and navigation with the visual
      studio dian program. Take advantage The building electricity is approximately 45 size, 37 electric beds,
      200 washing machines, 15 electric lamps, 35 fluorescent lamps, 1,045 electric lights and 400 kilo water
      pumps.
      Therefore, from the rent, including electricity cost of electrical equipment inside residential and
      modern buildings, data into visual studio2017 program found that the size of the old electrical system
      11610.82 Ah and the voltage 12 A, the total value was 327835 w.
      PubDate: 2020-01-05
      Issue No: Vol. 3, No. 2 (2020)
       
 
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