Authors :
Muhammad Hisham Fayrus; Moh. Agung Surianto; Suyoto
Volume/Issue :
Volume 8 - 2023, Issue 7 - July
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/yc5jfwku
DOI :
https://doi.org/10.5281/zenodo.8174223
Abstract :
In the midst of increasingly innovative and
competitive competition, it takes the ability to capture the
development of market demand in industries engaged in
the manufacturing industry. Maintaining market trust
and making consumers loyal to the company is one of the
methods so that the company can survive in the midst of
competition. The objectives to be achieved from this
research are: to analyze the appropriate forecasting
method for the demand for Surimi Itoyori products, to
analyze the best forecasting method for Surimi Itoyori
products, . By using descriptive quantitative
method. The results of this study indicate that the
Tracking Signal limit for Surimi Itoyori Products has the
potential to have a stationary pattern and a trend. From
the results of the research, the forecasting methods
obtained are Stationary Data with Additive Seasonal
Effects, Stationary Data with Multiplicative Seasonal
Effects, Holt-Winter's Method for Additive Seasonal
Effects, and Holt -Winter's Method for Multiplicative
Seasonal Effects meets the Tracking signal limit and can
be used to forecast surimi products and the results of the
comparison of the smallest MSE value, the smallest MAD
and the Tracking Signal limit for Surimi Itoyori Products
have obtained the selected forecasting results and 3. In
the manufacture of MPS products it is necessary to carry
out the second iteration to adjust the master production
schedule with the delivery quantity. The large factory
capacity compared to the demand for surimi, the
potential of the surimi factory can be maximized by
producing other products in the form of surimi products
besides itoyori, frozen fish, and reprocessing or freezing
services without worrying about disrupting the itoyori
surimi production process. So furthermore during peak
and low seasons surimi can be put to good use by
optimizing its production capacity .
Keywords :
Component; Surimi Itoyori Products; Forecasting Method; Master Production Schedule (MPS); Request.
In the midst of increasingly innovative and
competitive competition, it takes the ability to capture the
development of market demand in industries engaged in
the manufacturing industry. Maintaining market trust
and making consumers loyal to the company is one of the
methods so that the company can survive in the midst of
competition. The objectives to be achieved from this
research are: to analyze the appropriate forecasting
method for the demand for Surimi Itoyori products, to
analyze the best forecasting method for Surimi Itoyori
products, . By using descriptive quantitative
method. The results of this study indicate that the
Tracking Signal limit for Surimi Itoyori Products has the
potential to have a stationary pattern and a trend. From
the results of the research, the forecasting methods
obtained are Stationary Data with Additive Seasonal
Effects, Stationary Data with Multiplicative Seasonal
Effects, Holt-Winter's Method for Additive Seasonal
Effects, and Holt -Winter's Method for Multiplicative
Seasonal Effects meets the Tracking signal limit and can
be used to forecast surimi products and the results of the
comparison of the smallest MSE value, the smallest MAD
and the Tracking Signal limit for Surimi Itoyori Products
have obtained the selected forecasting results and 3. In
the manufacture of MPS products it is necessary to carry
out the second iteration to adjust the master production
schedule with the delivery quantity. The large factory
capacity compared to the demand for surimi, the
potential of the surimi factory can be maximized by
producing other products in the form of surimi products
besides itoyori, frozen fish, and reprocessing or freezing
services without worrying about disrupting the itoyori
surimi production process. So furthermore during peak
and low seasons surimi can be put to good use by
optimizing its production capacity .
Keywords :
Component; Surimi Itoyori Products; Forecasting Method; Master Production Schedule (MPS); Request.
