Simulating Cutting Line of a Furniture Industry

Rahman, Abdur; Sarker, Sudipa; Islam, Md. Tawhidul

doi:10.1109/poms.2018.8629447

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…In fact, [8] used two analytical methods to firstly, determine the optimal number of machines and the quantities produced in each period and secondly, determine the production plan and the periodic preventive maintenance scheduling to reduce the failures and minimize the total costs. Moreover, [9] used Discrete-Event Simulation (DES) and OptQuest to find out the optimal machine number. Two objective functions were used: maximizing the machine utilization rate and minimizing the waiting time in the queue.…”

Section: Machine Selection Problemmentioning

confidence: 99%

Improvement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal

Imen¹,

Masmoudi²,

Elleuch³

et al. 2019

Adv. sci. technol. eng. syst. j.

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Manufacturing System (MS) sizing is a crucial task to complete in order to obtain the desired MS performance and efficiency. It involves selecting the required number of resources from each used type in a given planning horizon. In fact, different approaches coupling simulation/optimization tools have been developed to solve this issue and evaluate the MS performance. One of these approaches is the Simulation Expert System Approach (SESA). Unfortunately, the application domain of this approach is limited in sizing only the production resources (machines and labor) but neglects the material handling system (MHS) components. Moreover, omitting the transferring problem is not viable in the real world due to its importance in each shop floor. Thus, the aim of this paper is to describe the evolution of SESA, then, to check if the simulation optimization tools used in SESA are still relevant. This paper also investigates the importance of incorporating MHS in this approach and finally proposes some improvement opportunities for SESA including the tackling of the MHS fleet sizing problem. In fact, the wide literature review performed in this research indicates that SESA is still a pertinent approach but it must be improved. Therefore, it is expected that SESA improvement opportunities proposed in this work will greatly assist industrialists in enhancing the overall MS performance, providing a significant productivity increase and a minimization of the total production costs.

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Section: Machine Selection Problemmentioning

confidence: 99%

Improvement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal

Imen¹,

Masmoudi²,

Elleuch³

et al. 2019

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…The automotive sector is mainly focused on the simulation of manufacturing processes and the implementation of Industry 4.0 principles into production (Bambura et al 2019;Cortés et al 2019;Villagomez et al 2019;Sujova et al 2020). However, simulation is also a viable optimization method for the furniture manufacturing and woodworking industries (Kosturiak and Gregor 1999;Klein and Thomas 2006;Carlson and Yao 2008;Kljajic 2008a, 2008b;Ali and Zulkifli 2017;Rahman et al 2018). Computer simulation is an excellent method to support decision making in furniture manufacturing with fast analysis of various scenarios in production systems in a relatively short time to choose the best production solutions (Plinta and Grznar 2019; Jurczyk-Bunkowska 2020).…”

Section: Introductionmentioning

confidence: 99%

Utilization of computer simulation for optimization of furniture production system

Bambura

Sujová

Čierna

2020

BioRes

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Computer simulation methods are currently used to simulate production processes and optimize production systems. Computer simulation is one of the most effective tools for implementation of Industry 4.0 principles in industrial practice. This research focused on the optimization of production processes in furniture production using simulation, which is an innovative method of production optimization for furniture manufacturers. The aim of this research was to improve the production system of Slovak furniture manufacturing enterprise by creating a discrete event simulation model of production based on the analysis of its current state. Improvement indicators are specific parameters of the production system, which primarily include material flow, productivity, and workload utilization. First, with the use of Tecnomatix Plant Simulation software and the collected real production data, the original production system processes were simulated and analyzed. Second, the incorporation of more powerful devices was proposed to improve the production line. Third, the proposed improvements were simulated and analyzed. The result of this research was a statistical comparison of the parameters of the current production line and the proposed production improvements.

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A Strategy Using Continuous Simulation to Mitigate Effort Estimation Risks in Software Projects

Gomes

Montenegro

Santos

et al. 2019

IEEE Latin Am. Trans.

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Simulating Cutting Line of a Furniture Industry

Cited by 4 publications

References 21 publications

Improvement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal

Improvement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal

Utilization of computer simulation for optimization of furniture production system

A Strategy Using Continuous Simulation to Mitigate Effort Estimation Risks in Software Projects

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