|
Digital
Library of the European Council for Modelling
and Simulation |
Title: |
A Simulation Optimization Tool For The Metal
Accessory Suppliers In The Fashion Industry: A Case Study |
Authors: |
Virginia Fani,
Romeo Bandinelli, Rinaldo Rinaldi |
Published in: |
(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay Paprika, Péter Horák, Kata Váradi, Péter Tamás
Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council for Modeling and Simulation. doi:10.7148/2017 ISBN:
978-0-9932440-4-9/ ISBN:
978-0-9932440-5-6 (CD) 31st European Conference on Modelling and
Simulation, Budapest, Hungary, May 23rd
– May 26th, 2017 |
Citation
format: |
Virginia
Fani, Romeo Bandinelli, Rinaldo Rinaldi (2017). A Simulation Optimization
Tool For The Metal Accessory Suppliers In The Fashion Industry: A Case Study,
ECMS 2017 Proceedings Edited by: Zita Zoltay Paprika, Péter Horák, Kata
Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter
Rádics European Council for Modeling and Simulation. doi:
10.7148/2017-0240 |
DOI: |
https://doi.org/10.7148/2017-0240 |
Abstract: |
This
paper presents a Simulation Optimization (SO), decision-support tool
developed for metal accessories’ suppliers in the fashion industry. The tool
is composed of a discrete-event simulator and a multi-objective, integer
linear-optimization scheduler, based on a commercial spreadsheet and an
open-source solver, linked together through an import-export routine. The
tool can be used to enable suppliers to compare scheduling algorithms in
order to optimize their performances in terms of customers’ due dates
compliance and cost and processing time reduction. The analyzed scenario
takes into account variable and uncertain production plans, represented by
the aggregation of orders received from different brands. The model has been
applied to a real company, where costs, delay, and advances are considered in
order to define the Objective Function (OF), whilst rush orders are
introduced to simulate stochastics events. |
Full
text: |