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<item>
  <id>05169215</id>
  <dt>j</dt>
  <an>05169215</an>
  <augroup>
    <au>Hsu, Kuei-Shu</au>
  </augroup>
  <ti>Strategic production planning of an automated manufacturing system through market forecasting.</ti>
  <so>J. Inf. Optim. Sci. 25, No. 3, 461-472 (2004).</so>
  <py>2004</py>
  <pu>Taru Publications, New Delhi, Delhi, India</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>production scheduling</ut>
    <ut>Lagrange method</ut>
    <ut>market demand</ut>
    <ut>operation cost</ut>
    <ut>fixture cost</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
  </ligroup>
  <abgroup>
    <ab>Summary: The attention of the maximum-profit production scheduling and control grows up in automated manufacturing with considerations of market demand and product price. This paper not only constructs a mathematical model under deterministic market demand and product sales price, but also implements the Lagrange method to optimize the production profit of an automated production system. Additionally, the step-by-step algorithm in achieving the optimum production schedule of the system through the forecasted probabilistic market is also prepared. To exemplify the applicability of this study, the numerical simulation under fluctuating market situations is furthermore introduced with VISUAL BASIC. Through this study, the product scheduling, production cost estimating, and even the order negotiating for an automated manufacturing system under deterministic or probabilistic market can then be approached. This paper not only contributes the applicable production scheduling strategy for an automated manufacturing system, but also provides the valuable conception in maximizing the production profit to the modern manufacturing industry.</ab>
    <rv></rv>
  </abgroup>
</item>