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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.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An advanced planning system for small-to-medium sized enterprises (SMEs) using Benders decomposition./
Author:	Techakittiroj, Rapeepat.
Description:	131 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2368.
Contained By:	Dissertation Abstracts International64-05B.
Subject:	Engineering, System Science. -
Online resource:	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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100 1 $a Techakittiroj, Rapeepat. $3 1940795
245 1 0 $a An advanced planning system for small-to-medium sized enterprises (SMEs) using Benders decomposition.
300 $a 131 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2368.
500 $a Adviser: Vira Chankong.
502 $a Thesis (Ph.D.)--Case Western Reserve University, 2003.
520 $a 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.
590 $a School code: 0042.
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Operations Research. $3 626629
690 $a 0790
690 $a 0796
710 2 0 $a Case Western Reserve University. $3 1017714
773 0 $t Dissertation Abstracts International $g 64-05B.
790 1 0 $a Chankong, Vira, $e advisor
790 $a 0042
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3092032