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Economic-lot-size formulas in manufa...

Mahmood, Ayad Abdulaziz.

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Economic-lot-size formulas in manufacturing using MATLAB.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Economic-lot-size formulas in manufacturing using MATLAB./
作者:	Mahmood, Ayad Abdulaziz.
面頁冊數:	41 p.
附註:	Source: Masters Abstracts International, Volume: 54-04.
Contained By:	Masters Abstracts International54-04(E).
標題:	Operations research. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1586217
ISBN:	9781321674248

Economic-lot-size formulas in manufacturing using MATLAB.
Mahmood, Ayad Abdulaziz.

Economic-lot-size formulas in manufacturing using MATLAB. - 41 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.S.)--Rutgers The State University of New Jersey - New Brunswick, 2015.

This item is not available from ProQuest Dissertations & Theses.

Economic-lot-size formulas enable us to get number of orders that reduce costs of each of: inventory, setup, and ordering. In manufacturing problems, formulas of economic-lot-size may give rise in unrealizable schedules, in some production periods the shop could not satisfy demands, whereas at other times slack periods that lead to idleness may occur. This research depicts a technique that allows the computation of order quantities in order that demands are satisfied with available labor and machines. The technique includes a simple step-by-step computation, particularly adaptable to computer programming (MATLAB).

ISBN: 9781321674248Subjects--Topical Terms:

547123
Operations research.

Economic-lot-size formulas in manufacturing using MATLAB.
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506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a Economic-lot-size formulas enable us to get number of orders that reduce costs of each of: inventory, setup, and ordering. In manufacturing problems, formulas of economic-lot-size may give rise in unrealizable schedules, in some production periods the shop could not satisfy demands, whereas at other times slack periods that lead to idleness may occur. This research depicts a technique that allows the computation of order quantities in order that demands are satisfied with available labor and machines. The technique includes a simple step-by-step computation, particularly adaptable to computer programming (MATLAB).
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