Advanced resource planning as a decision support module for ERP

被引：27

作者：

Van Nieuwenhuyse, Inneke ^{[1
]}

De Boeck, Liesje ^{[2
]}

Lambrecht, Marc ^{[1
]}

Vandaele, Nico J. ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Decis Sci & Informat Management, Res Ctr Operat Management, B-3000 Leuven, Belgium

[2] Katholieke Univ Leuven, Dept Decis Sci & Informat Management, HUBrussel, Ctr Modelling & Simulat,Res Ctr Operat Management, B-1000 Brussels, Belgium

来源：

COMPUTERS IN INDUSTRY | 2011年 / 62卷 / 01期

关键词：

Decision support; Midterm planning level; ERP; Advanced resource planning; Stochastic models; LEAD-TIME; MULTIPRODUCT; SYSTEM; IMPACT;

D O I：

10.1016/j.compind.2010.05.017

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The planning and decision support capabilities of the manufacturing planning and control system, which provides the core of any enterprise resource planning package, can be enhanced substantively by the inclusion of a decision support module as an add-on at the midterm planning level. This module, called advanced resource planning (ARP), provides a parameter-setting process, with the ultimate goal of yielding realistic information about production lead times for scheduling purposes, sales and marketing, strategic and operational decision making, and suppliers and customers. This article illustrates the ARP approach with reports from several real-life implementations by large industrial companies. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1 / 8

页数：8

共 29 条

[1]

[Anonymous], 2008, Designing and Managing the Supply Chain

[2] Tractable nonlinear production planning models for semiconductor wafer fabrication facilities [J].