Simulation-based analysis of shared manufacturing systems

Silva, Gustavo Furtado da; Casarotto Filho, Nelson; Frazzon, Enzo Morosini

doi:10.1590/0104-530X3718-20

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ORIGINAL ARTICLE • Gest. Prod. 27 (1) • 2020 • https://doi.org/10.1590/0104-530X3718-20 copy

Simulation-based analysis of shared manufacturing systems

Análise baseada em simulação de sistemas de produção compartilhada

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

Advancements in information and communication technologies are encouraging researches in shared manufacturing systems, especially on current high-competitiveness and low-resources scenarios. This paper aims to compare productive resources sharing with traditional manufacturing systems by using a simulation-based optimization model. The model is based on the One Product Integrated Manufacturing paradigm in which the efficiency optimization is pursued by designing ad-hoc virtual factories allocating the best resources available on an existing network. The proposed simulation-based optimization model is capable of identifying the best production path and plan for different distances between network members. Along with a better overall efficiency, it is also possible to argue that dedicated virtual factories ease the identification of problems and allow for improvements without negatively affecting other resources.

Keywords:
Shared manufacturing; One Product Integrated Manufacturing; Virtual enterprises; Simulation; Optimization

		Product 1	Product 2	Product 3
	Process 1	1.10	1.08	1.49
Factory 1	Process 2	0.71	0.70	0.96
	Process 3	1.16	1.14	1.56
	Process 1	1.98	2.03	1.49
Factory 2	Process 2	0.71	0.73	0.53
	Process 3	1.11	1.14	0.83
	Process 1	1.98	1.08	1.43
Factory 3	Process 2	1.34	0.73	0.96
	Process 3	1.16	0.63	0.83

#Sequence	Product 1	Product 2	Product 3
Process 1	r₁₁	r₁₂	r₁₃
Process 2	r₂₁	r₂₂	r₂₃
Process 3	r₃₁	r₃₂	r₃₃

#12285	Product 1	Product 2	Product 3
Process 1	Factory 1	Factory 3	Factory 2
Process 2	Factory 1	Factory 2	Factory 3
Process 3	Factory 1	Factory 3	Factory 2

		Tradicional	Optimal
	Process 1	3.09	5.33
Factory 1	Process 2	1.12	2.56
	Process 3	2.74	4.17
	Process 1	8.10	7.30
Factory 2	Process 2	0.52	0.36
	Process 3	1.07	0.98
	Process 1	5.05	4.60
Factory 3	Process 2	1.75	0.47
	Process 3	0.84	0.73

		Tradicional	Optimal
	Process 1	4.11	5.33
Factory 1	Process 2	1.61	2.48
	Process 3	3.47	4.13
	Process 1	1.67	1.34
Factory 2	Process 2	1.27	0.42
	Process 3	2.06	2.13
	Process 1	6.88	4.63
Factory 3	Process 2	2.28	0.95
	Process 3	0.98	0.81

Product	Original capacity
Product	Tradicional	Optimal
Product 1	52.3%	79.2%
Product 2	51.7%	89.1%
Product 3	52.0%	67.4%

Product	Increased capacity
Product	Tradicional	Optimal
Product 1	62.4%	79.7%
Product 2	62.7%	87.2%
Product 3	62.2%	98.1%

#10179	Product 1	Product 2	Product 3
Process 1	Factory 1	Factory 3	Factory 2
Process 2	Factory 1	Factory 3	Factory 2
Process 3	Factory 1	Factory 3	Factory 2

Length (h)	0.2	0.4	0.6	0.8	1.0	1.2	1.4	1.6	1.8	2.0
Supplier 1	24.4%	42.6%	73.4%	94.4%	98.1%	99.0%	99.3%	99.5%	99.6%	99.7%
Supplier 2	37.9%	50.4%	72.3%	93.9%	98.7%	99.7%	99.8%	99.9%	99.9%	100%
Supplier 3	16.8%	41.6%	63.9%	93.4%	97.3%	98.3%	99.3%	99.2%	99.5%	99.7%
Manufacturer 1	14.0%	32.2%	57.0%	79.4%	84.3%	86.6%	87.0%	86.5%	85.7%	85.5%
Manufacturer 2	15.0%	34.2%	65.1%	81.6%	87.0%	86.7%	87.5%	85.9%	86.1%	85.3%
Manufacturer 3	15.5%	38.6%	59.4%	82.7%	85.6%	87.1%	86.1%	86.5%	84.7%	84.8%

Length (h)	0.2	0.4	0.6	0.8	1.0	1.2	1.4	1.6	1.8	2.0
Supplier 1	52.1%	66.4%	86.9%	94.7%	97.7%	98.7%	99.3%	99.5%	99.1%	99.6%
Supplier 2	55.4%	64.2%	85.3%	93.2%	98.4%	98.8%	99.6%	98.9%	99.2%	99.8%
Supplier 3	55.8%	68.2%	85.8%	93.8%	97.1%	97.9%	98.8%	99.4%	99.6%	99.4%
Manufacturer 1	13.0%	31.2%	50.7%	69.6%	77.2%	75.9%	78.8%	76.2%	77.9%	73.0%
Manufacturer 2	13.4%	31.6%	49.5%	70.7%	79.8%	79.2%	80.9%	74.8%	78.4%	79.0%
Manufacturer 3	13.5%	34.8%	58.6%	75.3%	80.2%	83.6%	81.6%	85.3%	80.5%	83.1%

Universidade Federal de São Carlos Departamento de Engenharia de Produção , Caixa Postal 676 , 13.565-905 São Carlos SP Brazil, Tel.: +55 16 3351 8471 - São Carlos - SP - Brazil
E-mail: gp@dep.ufscar.br

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[1] Source: Authors (2016).