Optimization of Manufacturing Enterprise Collaboration with Subcontractors Through Production Process Simulation

Abstract This paper presents a simulation-based model aimed at optimizing the outsourcing of production tasks to external subcontractors, focusing on minimizing costs and production times. The study explores a manufacturing scenario where a company utilizes both in-house and subcontractor resources for machining metal components. A simulation model was developed in FlexSim, employing advanced tools such as the OptQuest optimizer to analyze various scenarios of production allocation. Parameters like production cost, machine utilization, and task completion times were modelled and evaluated. The results showcase the effectiveness of simulation models in identifying optimal production strategies, balancing cost-efficiency with operational flexibility. The findings emphasize the utility of such tools for decision-making in production management, providing insights into resource allocation and performance improvement.

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Publication Details

Journal
System Safety Human - Technical Facility - Environment
Published
2024-12-01
DOI
https://doi.org/10.2478/czoto-2024-0015
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.35
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article

Optimization of Manufacturing Enterprise Collaboration with Subcontractors Through Production Process Simulation

Marek Krynke
1 citations
System Safety Human - Technical Facility - Environment
Advanced Manufacturing and Logistics Optimization
0.35
article

Optimization of Manufacturing Enterprise Collaboration with Subcontractors Through Production Process Simulation

Marek Krynke
article en
1 citations

Abstract

Abstract This paper presents a simulation-based model aimed at optimizing the outsourcing of production tasks to external subcontractors, focusing on minimizing costs and production times. The study explores a manufacturing scenario where a company utilizes both in-house and subcontractor resources for machining metal components. A simulation model was developed in FlexSim, employing advanced tools such as the OptQuest optimizer to analyze various scenarios of production allocation. Parameters like production cost, machine utilization, and task completion times were modelled and evaluated. The results showcase the effectiveness of simulation models in identifying optimal production strategies, balancing cost-efficiency with operational flexibility. The findings emphasize the utility of such tools for decision-making in production management, providing insights into resource allocation and performance improvement.

System Safety Human - Technical Facility - EnvironmentVol. 6(1)
Częstochowa University of Technology (PL)
Openalex Percentile: Top 32%
Advanced Manufacturing and Logistics Optimization
0.35
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Optimization of Manufacturing Enterprise Collaboration with Subcontractors Through Production Process Simulation — Marek Krynke · System Safety Human - Technical Facility - Environment (2024) | TGRS Research Map | TGRS