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
收藏
页码：1 / 8
页数：8
相关论文
共 50 条
  • [1] A Decision Support Module for ERP System under VMI Collaboration
    Shiau, Jiun-Yan
    Tsou, Yu-Ling
    2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENT (IEOM), 2015,
  • [2] A decision support methodology to support military asset and resource planning
    Elsawah, Sondoss
    Turan, Hasan Huseyin
    Gordon, Lindsay
    Ryan, Michael J.
    JOURNAL OF SIMULATION, 2024, 18 (02) : 154 - 179
  • [3] The Evaluation of Finance Module Implementation of Enterprise Resource Planning (ERP) for Employee Performance
    Hafifah, Dayane Kamila
    Witarsyah, Deden
    Saputra, Muhardi
    Azizah, Anik Hanifatul
    Saputri, Marhaeni Eka
    2019 2ND INTERNATIONAL CONFERENCE ON APPLIED INFORMATION TECHNOLOGY AND INNOVATION (ICAITI2019), 2019, : 140 - 145
  • [4] A Resource-Based Perspective on Enterprise Resource Planning (ERP) Capabilities and Upgrade Decision
    Ng, Celeste See-Pui
    PACIFIC ASIA CONFERENCE ON INFORMATION SYSTEMS 2006, SECTIONS 1-8, 2006, : 1191 - 1204
  • [5] Decision support system for energy planning in a district - Residential module
    Banerjee, R
    Inamdar, AB
    Phulluke, S
    Pateriya, B
    ECONOMIC AND POLITICAL WEEKLY, 1999, 34 (50) : 3545 - 3552
  • [6] A decision support tool for planning module installation in industrial construction
    Farajmandi, Mahmoud
    Ali, Mostafa
    Hermann, Rick
    AbouRizk, Simaan
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2020, 27 (09) : 2615 - 2641
  • [7] A SUGGESTION ON ADMINISTRATION DECISION-MAKING: ENTERPRISE RESOURCE PLANNING (ERP)
    Bulut, Yakup
    Aslan, Muhammed Mirac
    JOURNAL OF MEHMET AKIF ERSOY UNIVERSITY ECONOMICS AND ADMINISTRATIVE SCIENCES FACULTY, 2022, 9 (02): : 1260 - 1270
  • [8] Dynamic planner: A decision support tool for resource planning
    Owusu, G
    Dorne, R
    Voudouris, C
    Lesaint, D
    APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS X, 2003, : 19 - 31
  • [9] RESPLA: A Decision Support Framework for Emergency Resource Planning
    Inampudi, Venkata S.
    Ganz, Aura
    2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2010, : 1154 - 1157
  • [10] Resource Planning in Disaster Response Decision Support Models and Methodologies
    Schryen, Guido
    Rauchecker, Gerhard
    Comes, Tina
    BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2015, 57 (04) : 243 - 259
12345