Aclips: a Capacity and Lead Time Integrated Procedure for Scheduling
Management Science
On the corrupting influence of variability in semiconductor manufacturing
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Designing And Managing The Supply Chain
Designing And Managing The Supply Chain
ERP plans and decision-support benefits
Decision Support Systems
Manufacturing Planning and Control for Supply Chain Management
Manufacturing Planning and Control for Supply Chain Management
Load-Based POLCA: An Integrated Material Control System for Multiproduct, Multimachine Job Shops
Manufacturing & Service Operations Management
Supply Chain Management Based on SAP Systems: Architecture and Planning Processes
Supply Chain Management Based on SAP Systems: Architecture and Planning Processes
The implementation and deployment of an ERP system: An industrial case study
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
A classification for better use of ERP systems
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
Mining event logs to support workflow resource allocation
Knowledge-Based Systems
Fast assessment of production makespan using aggregate technical data
Computers in Industry
Impact of the shape of demand distribution in decision models for operations management
Computers in Industry
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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.