JOURNAL ARTICLE

Modeling and simulation for customer driven manufacturing system design and operations planning

Abstract

Agility, speed and flexibility in production networks are required in today's global competition in the flat world. The accuracy of order date delivery promises is a key element in customer satisfaction. Agile production needs a management and evaluation tool for production changes. Discrete event simulation, DES, has mainly been used as a production system analysis tool, to evaluate new production system concepts, layout and control logic. DES can be used for operational planning as well, as shown in the paper. The simulation analysis gives a forecast of the future with given input values, thus production managers have time to react to potential problems and evaluate alternatives. A balance between multiple parallel customer orders and finite resources can be found. The authors are developing a system design evaluation method and also a decision support system for production managers. Two case studies with different approaches are described in the paper.

Keywords:
Agile software development Discrete event simulation Flexibility (engineering) Agile manufacturing Production planning Computer science Production (economics) Customer satisfaction Key (lock) Production control Industrial engineering Systems engineering Manufacturing engineering Process management Engineering Simulation Software engineering

Metrics

4
Cited By
1.21
FWCI (Field Weighted Citation Impact)
8
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Scheduling and Optimization Algorithms
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
Business Process Modeling and Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems
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