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An Assortment–quantity optimization problem in printing industry using simulation modelling
ID
Smagowicz, Justyna
(
Author
),
ID
Szwed, Cezary
(
Author
),
ID
Berlec, Tomaž
(
Author
)
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MD5: 846305D043DECDEB73F610AE44587659
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https://www.mdpi.com/2071-1050/16/4/1693
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Abstract
This paper presents a method for assortment–quantity production scheduling in a printing company. The company uses specialized machinery to make prints on clothing. The method is based on a study of the company’s practical operations and the production technologies used. It involves the construction of simulation and optimization models of the process. The simulation models reflect the technical aspects of the production process and the business requirements. Optimization models provide solutions that balance product sales revenue with appropriate production schedules. On this basis, managers can make resource-balanced decisions on the implementation of selected production plans, taking into account the current economic conditions of the company. The experiments used the FlexSim simulation program (by FlexSim Software Products, Inc., Orem, UT 84097 USA; v. 20.1.3.1) and the OptQuest optimization package (embedded in FlexSim), resulting in a cost-effective solution in a short time. The proposed method, thanks to the optimization of the production program, provides savings in the use of materials for production, as well as water and energy savings in the production process. Thanks to the possibility of analyzing the process without interfering with it, provided by simulation modelling, the method practically eliminates the costs and time needed to prepare the execution of new production orders. This contributes to the sustainable development of the company and provides an opportunity to assess the impact of potential business decisions in the company prior to their implementation. The method has been directly applied in a company to improve its performance. The method is scalable and can be applied to problems of varying complexity and production systems of different types and sizes. This is especially true for small- and medium-sized companies that use discrete manufacturing in the textile, metal, and furniture industries.
Language:
English
Keywords:
sustainable production
,
simulation modelling
,
optimization algorithms
,
integrated approach
,
printing industry
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
Publication status:
Published
Publication version:
Version of Record
Publication date:
01.01.2024
Year:
2024
Number of pages:
Str. 1-25
Numbering:
Vol. 16, iss. 4, art. 1693
PID:
20.500.12556/RUL-154546
UDC:
658.5:677:004.94
ISSN on article:
2071-1050
DOI:
10.3390/su16041693
COBISS.SI-ID:
186183939
Publication date in RUL:
20.02.2024
Views:
862
Downloads:
27
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Record is a part of a journal
Title:
Sustainability
Shortened title:
Sustainability
Publisher:
MDPI
ISSN:
2071-1050
COBISS.SI-ID:
5324897
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
trajnostna proizvodnja
,
simulacijsko modeliranje
,
optimizacijski algoritmi
,
integriran pristop
,
tiskarska industrija
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