Assembly plant simulation to support decision-making n Layout Design considering safety issues. A case study.

This paper presents a simulation model that has been created to support decision-making during the layout redesign of an engine and transmission assembly plant in the automotive sector. The plant requires a new layout and supply logistic due to an increase in its complexity and daily production. Discrete event simulation has been used to validate an initial proposal and to propose different what-if scenarios of layout and operations management systems. These scenarios will be evaluated regarding materials flow generated throughout the plants. The main focus of the decision process was focused on safety issues related to the material handling. The simulation model and its description have been done according to the methodology proposed in Sáez Más, García Sabater, Morant Llorca, y Maheut (2016), where the simulation model is focus as a 4-layer architecture (network, logic, database and visual reality). The achieved model is very flexible and modular, and it allows to save modelling time because of the parameterize of different combinations in layout and operations management.

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A Simulation-Based Tool to Support Decision-Making in Logistics Design of a Can Packaging Line

International Journal of Food Engineering ◽

10.1515/ijfe-2017-0089 ◽

2019 ◽

Vol 0 (0) ◽

Author(s):

Victoria G. Achkar ◽

Valentina Bär ◽

Franco Cornú ◽

Carlos A. Méndez

Keyword(s):

Decision Making ◽

Material Handling ◽

Discrete Event ◽

Inventory Systems ◽

Dynamic Interactions ◽

Event Simulation ◽

Proposed Model ◽

Simulation Based ◽

And Performance ◽

Support Decision Making

AbstractThis study proposes an advanced discrete-event simulation-based tool to support decision-making in the internal logistic design of a packaging line of a multinational brewery company. The selected software, Simio, allows emulating, advising and predicting the behavior of complex real-world systems. The simulation model provides a 3D interface that facilitates verification and validation. In this work, the designed model is used to understand the dynamic interactions between multiple factors and performance measures including both material-handling and inventory systems and to define necessary quantities and/or capacities of resources for a future can packaging line. Based on the proposed model, a what-if analysis is performed to determine inventory threshold values and other critical variables in order to optimize the configuration of internal logistics in potential scenarios.

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Simulation Modeling and Analysis of a Door Industry

International Journal of Operations Research and Information Systems ◽

10.4018/ijoris.2021010104 ◽

2021 ◽

Vol 12 (1) ◽

pp. 43-57

Author(s):

Konstantinos Chronis ◽

Alexandros Xanthopoulos ◽

Dimitrios E. Koulouriotis

Keyword(s):

Simulation Model ◽

Performance Metrics ◽

Discrete Event ◽

Labor Cost ◽

Total Production ◽

Labor Costs ◽

Daily Production ◽

Modeling And Analysis ◽

Event Simulation ◽

Planning Decision

Ιn this paper, the authors study the production line of a door industry. The first stage of this research consists of the detailed documentation with flow charts and systematization of all production processes, all product types, as well as all stages of production and equipment. The standard production times were calculated for each workstation, together with the relevant workforce requirements. In the second stage of this research, a discrete event simulation model of the factory was developed to assist in the production planning decision-making. The simulation model was verified using actual production data relating to 19 customer orders for a total of 1,281 doors. Four simulation experiments were executed, where the effect of alternative shifts on the manufacturing line's efficiency was investigated. The performance metrics of total production, mean daily production, and mean labor cost per product were considered. This experimental trial resulted in the identification of the shift configuration that achieves increased productivity while maintaining relatively low labor costs.

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