International Journal of Intelligent Information Systems

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Diagnosis of Production System of Marine Frozen Products by Inventory Management Theory - A Case of Blue Fins

Received: 16 January 2015    Accepted: 19 January 2015    Published: 8 February 2015
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Abstract

The purpose of this paper is a characteristic analysis of current production and inventory system for frozen products of blue fins under a fishery instability caused by the warming of the earth and an indiscriminate fishing. For the analysis, a simulation is performed quoted by Vassian’s production management theory. The result of the analysis is that the current system is aimed at minimizing a variation of the inventory at the end of the period.

DOI 10.11648/j.ijiis.s.2015040201.14
Published in International Journal of Intelligent Information Systems (Volume 4, Issue 2-1, March 2015)

This article belongs to the Special Issue Logistics Optimization Using Evolutionary Computation Techniques

Page(s) 18-24
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Production and Inventory Planning System, Frozen Processing Industry, Simulation

References
[1] Chiyoma, H. and Katayama, H., 2013. “Model Building and Performance Analysis of Forward / Reverse: - Combined Logistics System in Agricultural Industry”, Proceedings of the 8th International Congress on Logistics and SCM Systems (ICLS2013), pp. 281-288, International Conference Center of Waseda University, Tokyo, Japan, 5th-7th August.
[2] Fukuichi Gyogyo Co. Ltd. Homepages, URL: http://www.maguro-fukuboh.jp/ (Access dat: 8th, April, 2014.)
[3] Herbert A. Simon, 1952. “On the Application of Servomechanism Theory in the Study of Production Control”, Econometrica, Vol. 20, No. 2, pp. 247-268.
[4] Herbert J. Vassian, 1954. “Application of Discrete Variable Servo Theory to Inventory Control”, Journal of the Operations Research Society of America, Vol. 3, Iss. 3, pp. 272-282.
[5] Hirakawa Y., Katayama, H., Hoshino K. and Soshiroda M., 2003. “A Hybrid Push/Pull Production Control System for Multistage Manufacturing Environments”, The Journal of The Japan Industrial Management Association, Vol. 45, No. 3, pp. 194-201.
[6] Katayama, H., 1986. “On an Ordering System Using Orthogonal Elements of Moving Average Demand Model”, The Journal of The Japan Industrial Management Association, Vol. 37, No. 2, pp. 73-79.
[7] Katayama, H., Soshiroda M. and Muramatsu R., 1988, “Analysis of Periodic Reordering System with Plural Moving Average Demands”, The Journal of The Japan Industrial Management Association, Vol. 39, No. 4, pp. 218-225.
[8] Nishijima J., Goto M. And Tawara N., 1999, “A Study of Periodical Ordering System to Control the Cost Occurred from Variances”, The Journal of The Japan Industrial Management Association, Vol. 50, No. 4, pp. 207-215.
[9] Ministry of Agriculture, Forestry and Fisheries, 2007. The annual report of statistical data on a distribution of aquatic products (2007), Association of Agriculture and Forestry: Tokyo.
[10] Ministry of Agriculture, Forestry and Fisheries, 2008. The annual report of statistical data on a distribution of aquatic products (2008), Association of Agriculture and Forestry: Tokyo.
[11] Ministry of Agriculture, Forestry and Fisheries, 2009. The annual report of statistical data on a distribution of aquatic products (2009), Association of Agriculture and Forestry: Tokyo.
[12] Ministry of Agriculture, Forestry and Fisheries, 2010. The annual report of statistical data on a distribution of aquatic products (2010), Association of Agriculture and Forestry: Tokyo.
[13] Ministry of Agriculture, Forestry and Fisheries, 2012. The annual report of statistical data on a distribution of aquatic products (2012), Association of Agriculture and Forestry: Tokyo.
[14] Pall J., 1988. “Daily Production Planning in Fish Processing Firms”, European Journal of Operational Research, Vol. 36, pp. 410-415.
[15] Warren M. Persons, 1919. “Indices of Business Conditions”, The Review of Economic Statistics, pp. 18-31.
[16] Watanabe, N., Hwang R. K. and Katayama, H., 2013. “Analysis and Improvement of Production and Inventory Planning System for Process Industry”, Proceedings of The 16th Japan Society of Logistics Systems (JSLS) National Conference, pp. 91-96, Nihon University, Narashino, Chiba, Japan, 11th-12th, May.
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  • APA Style

    Koichi Murata, Nao Watanabe, Reakook Hwang, Seiichiro Isobe, Hiroshi Katayama. (2015). Diagnosis of Production System of Marine Frozen Products by Inventory Management Theory - A Case of Blue Fins. International Journal of Intelligent Information Systems, 4(2-1), 18-24. https://doi.org/10.11648/j.ijiis.s.2015040201.14

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    ACS Style

    Koichi Murata; Nao Watanabe; Reakook Hwang; Seiichiro Isobe; Hiroshi Katayama. Diagnosis of Production System of Marine Frozen Products by Inventory Management Theory - A Case of Blue Fins. Int. J. Intell. Inf. Syst. 2015, 4(2-1), 18-24. doi: 10.11648/j.ijiis.s.2015040201.14

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    AMA Style

    Koichi Murata, Nao Watanabe, Reakook Hwang, Seiichiro Isobe, Hiroshi Katayama. Diagnosis of Production System of Marine Frozen Products by Inventory Management Theory - A Case of Blue Fins. Int J Intell Inf Syst. 2015;4(2-1):18-24. doi: 10.11648/j.ijiis.s.2015040201.14

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  • @article{10.11648/j.ijiis.s.2015040201.14,
      author = {Koichi Murata and Nao Watanabe and Reakook Hwang and Seiichiro Isobe and Hiroshi Katayama},
      title = {Diagnosis of Production System of Marine Frozen Products by Inventory Management Theory - A Case of Blue Fins},
      journal = {International Journal of Intelligent Information Systems},
      volume = {4},
      number = {2-1},
      pages = {18-24},
      doi = {10.11648/j.ijiis.s.2015040201.14},
      url = {https://doi.org/10.11648/j.ijiis.s.2015040201.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2015040201.14},
      abstract = {The purpose of this paper is a characteristic analysis of current production and inventory system for frozen products of blue fins under a fishery instability caused by the warming of the earth and an indiscriminate fishing. For the analysis, a simulation is performed quoted by Vassian’s production management theory. The result of the analysis is that the current system is aimed at minimizing a variation of the inventory at the end of the period.},
     year = {2015}
    }
    

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    AU  - Koichi Murata
    AU  - Nao Watanabe
    AU  - Reakook Hwang
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    AU  - Hiroshi Katayama
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    JF  - International Journal of Intelligent Information Systems
    JO  - International Journal of Intelligent Information Systems
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    UR  - https://doi.org/10.11648/j.ijiis.s.2015040201.14
    AB  - The purpose of this paper is a characteristic analysis of current production and inventory system for frozen products of blue fins under a fishery instability caused by the warming of the earth and an indiscriminate fishing. For the analysis, a simulation is performed quoted by Vassian’s production management theory. The result of the analysis is that the current system is aimed at minimizing a variation of the inventory at the end of the period.
    VL  - 4
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Author Information
  • Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Chiba, Japan

  • Large Motors and Drives Department, Discrete Automation and Motion Division, ABB K.K., Tokyo, Japan

  • Industry & Strategy Department I, Samsung Economic Research Institute, Seoul, Korea

  • Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Chiba, Japan

  • Department of Industrial and management Systems Engineering, Faculty of Science and Engineering, Waseda University, Tokyo, Japan

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