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An advanced planning system for smal...

Techakittiroj, Rapeepat.

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An advanced planning system for small-to-medium sized enterprises (SMEs) using Benders decomposition.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An advanced planning system for small-to-medium sized enterprises (SMEs) using Benders decomposition./
作者:	Techakittiroj, Rapeepat.
面頁冊數:	131 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2368.
Contained By:	Dissertation Abstracts International64-05B.
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3092032

An advanced planning system for small-to-medium sized enterprises (SMEs) using Benders decomposition.
Techakittiroj, Rapeepat.

An advanced planning system for small-to-medium sized enterprises (SMEs) using Benders decomposition. - 131 p.

Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2368.

Thesis (Ph.D.)--Case Western Reserve University, 2003.

This work aims at developing an advanced planning system (APS) for production planning and inventory control for small-to-medium enterprises (SMEs). The aim is to incorporate this APS in the overall supply chain management software system for SMEs to be developed subsequently. Specifically, this research attempts to develop a system to optimally combine aggregate planning (AP) and master production schedule (MPS) with the materials requirement planning (MRP) and the capacity requirement planning (CRP), which are usually performed jointly by SMEs, due to their size and their typical make-to-order or assembly-to-order production environment. The resulting model is a relatively large mixed 0–1 integer program. Benders Decomposition is applied. The simplex method is customized to solve the lower-level subproblem, which determines production quantities in each period. A special n-step look-ahead algorithm is devised to solve the minimax 0–1 integer program in the master problem. The proposed APS is tested using a set of test problems generated to reflect various structures of bill-of-materials, set-up vs. unit production costs, and the length of planning horizons.Subjects--Topical Terms:

1018128
Engineering, System Science.

An advanced planning system for small-to-medium sized enterprises (SMEs) using Benders decomposition.
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