SYSTEM DYNAMICS MODEL FOR FLOW TIME AND LOT SIZES OPTIMIZATION ACCORDING TO QUICK RESPONSE MANUFACTURING (QRM) STRATEGY | Zendy

Francisco Marín Martínez | Zendy; Francisco Campuzano Bolarín | Zendy; Héctor Cañas | Zendy; Josefa Mula | Zendy

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SYSTEM DYNAMICS MODEL FOR FLOW TIME AND LOT SIZES OPTIMIZATION ACCORDING TO QUICK RESPONSE MANUFACTURING (QRM) STRATEGY

Author(s) -

Francisco Marín Martínez,

Francisco Campuzano Bolarín,

Héctor Cañas,

Josefa Mula

Publication year - 2020

Publication title -

dyna

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.177

H-Index - 11

eISSN - 1989-1490

pISSN - 0012-7361

DOI - 10.6036/9661

Subject(s) - computer science , process (computing) , variable (mathematics) , industrial engineering , response time , product (mathematics) , personalization , flow (mathematics) , system dynamics , material flow , manufacturing engineering , engineering , mathematics , mathematical analysis , ecology , computer graphics (images) , geometry , artificial intelligence , world wide web , biology , operating system

The aim of this paper is to propose a simulation model based on system dynamics and the elements that compose Quick Response Manufacturing (QRM) strategy. The developed model is a very useful decision-making tool, since it facilitates the obtaining of process flow times and lot sizes in manufacturing environments that focus their competitive strategy on markets that demand a high variability and product customization. Through simulating four different scenarios, the effects of variability and machine resources utilization are evaluated. The results show that a minimal change in machine resources utilization causes a high impact on process flow times and consequently, on another critical QRM variable such as Manufacturing Critical-Path Time (MCT). Keywords: Simulation, System dynamics, Quick response manufacturing, Flow time; Operations management

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