A computer-aided process planning methodology
Computers in Industry
Elements for response-time statistics in ERP transaction systems
Performance Evaluation
Expert Systems with Applications: An International Journal
Development of an electronic configure-to-order platform for customized product development
Computers in Industry - Special issue: Advanced computer support of engineering and service processes of virtual enterprises
Towards unified modelling of product life-cycles
Computers in Industry
Design of a Meta Model for integrating enterprise systems
Computers in Industry
Towards product customization: An integrated order fulfillment system
Computers in Industry
A model for batch available-to-promise in order fulfillment processes for TFT-LCD production chains
Computers and Industrial Engineering
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Customer-oriented manufacturing competes on timely responses to customer requirements, and precise scheduling control for delivery. This challenge demands engineering design and production planning to be fully integrated via advanced enterprise resource planning (ERP) systems. This paper proposes a generic feature association method and a detailed framework that can unify product and process models in order to satisfy customer orders with small batch sizes and high variations. A conceptual solution is introduced by integrating two traditionally separate feature domains: design configuration features and manufacturing process features. To achieve the proposed method, a customer feature class is suggested for the characterization of customers' profiles related to the manufacturer. An instantiated customer feature object functionally tracks each customer's selection of product configurations related to its requirements, specific orders, and production schedules with dynamic associations to the live manufacturing capacity. With the new associative integration method, a preliminary order acceptance system (OAS) prototype system has been implemented within an ERP order management system and its conceptual structure model is demonstrated within a multi-facet feature framework.