Materials Flow Investigation: an Aluminum Frames Supply Chain Simulation

Ruiz, Phelipe Viana; Fontanini, Patrícia Stella Pucharelli; Corrêa, Fabiano Rogério

doi:10.15866/iremos.v12i1.15952

Cited by 4 publications

(4 citation statements)

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“…Simulation has also been used in LSCM environments to achieve process efficiency(Mason-Jones and Towill 1997;Saygin and Sarangapani 2011;Chen et al 2013;Khanchanapong et al 2014;Li et al 2018;Baradaran and Akhavan 2019;Miclo et al 2019;Ruiz, Fontanini, and Corrêa 2019;Weraikat et al 2019). Simulation has been used to analyze the efficiency of processes in which EDI (Mason-Jones and Towill 1997), RFID(Saygin and Sarangapani 2011;Chen et al 2013) or ATM(Khanchanapong et al 2014) are used.…”

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confidence: 99%

“…Simulation has been used to analyze the efficiency of processes in which EDI (Mason-Jones and Towill 1997), RFID(Saygin and Sarangapani 2011;Chen et al 2013) or ATM(Khanchanapong et al 2014) are used. Materials Planning and Scheduling have also been determined with Simulation with better results(Miclo et al 2019), as has the evolution of the relationship between strategic factors), the impact of materials flow delays on the supplier chain(Ruiz, Fontanini, and Corrêa 2019), stock minimization in Vendor Management Inventory (VMI) systems(Weraikat et al 2019), and optimization of the number of Kanbans in JIT systems(Baradaran and Akhavan 2019). VR learning environments have also been developed…”

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confidence: 99%

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Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review

Núñez-Merino

Marín

Fuentes

et al. 2020

International Journal of Production Research

235

170

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Lean Management (LM) is an efficiency-oriented socio-technical management system whose main purpose is to eliminate any source of waste through the simultaneous reduction or minimization of the sources of internal and external variability (Womack, Jones, and Roos 1990;Shah and Ward 2007). The systematic reduction of these sources of variability at both the company level and throughout the supply chain enables business results to be improved and provides the ability to achieve a competitive advantage (Womack and Jones 1996; Moyano-Fuentes and Sacristán-Díaz 2012).On one hand, Supply Chain Management (SCM) has been used for planning and control of physical and information flows, internal and external logistics activities, and processes with other companies, and to address the relationship developed and the processes shared with customers and suppliers (Chen and Paulraj 2004; Kache and Seuring 2014). In recent years, SCM has come to be considered a key factor for increasing companies' efficacy and competitiveness (Frohlich and Westbrook 2001; Ataseven and Nair 2017). So, a suitable SCM strategy enables improvements to operating results in terms of greater efficiency in processes, a lower level of inventory, higher customer satisfaction, better quality, cost reductions, and improved delivery (Christopher and Towill 2000). This, along with an increase in global competitive pressure, has led to Lean principles spreading to the supply chain level with a view to optimizing interorganizational processes from the point-of-view of the end customer (Swenseth and Olson 2016). This has given rise to what is known as Lean Supply Chain Management (LSCM). LSCM consists of organizations directly linked by upstream and downstream flows of goods, services, finances, and information that work together to reduce costs and waste by efficiently and effectively pulling what is required to meet the

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confidence: 99%

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confidence: 99%

Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review

Núñez-Merino

Marín

Fuentes

et al. 2020

International Journal of Production Research

235

170

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“…Graphics form control algorithm called Grafcet was used (Fig. 10) (Giraldo et al, 2019, Ruiz et al, 2019. Application helped to clarify the algorithm that was divided into individual macro steps.…”

Section: Methodology Of Research Via Control Designmentioning

confidence: 99%

Design of Construction and Controlling of Automation Technics in Order to Improve Skills of Students

Hrušková

Matúšová

Václav

2021

Multidisciplinary Aspects of Production Engineering

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The article summarizes the experience, skills of the students of technical subjects teaching methodologies using a number of software products. Solve specific assigned tasks described in this paper. Task is about the problems of automation and mechanization in the industry. That helps to improve the skills of praxis, through the design of construction and of controlling. Specifically it focuses on introducing automation in the wood industry. Article describes the design of the automation process for marking wooden hammers. Similar problems are solved by students in Computer Aided (CA) systems. The control process of automation is realized through the electro-pneumatic circuits. These circuits are creating in software FluidSIM 4 that is used as a simulation tool. FluidSIM 4 is comprehensive software for creation, simulation, instruction and study of electro-pneumatic, electro-hydraulic and digital circuits.

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“…In the model presented in this article, the sand flow was evaluated in a case study of the construction of a 300m² single-family residential building. The development of the simulation model of this study was based on the works of Ruiz, Fontanini and Corrêa (2019) and Ruiz and Fontanini (2014). The period between the first and last request for sand delivery was 300 days.…”

Section: Methodsmentioning

confidence: 99%

Construction Materials Flow Investigation – Delay Evaluation in a Sand Supply Chain With Simulation

Ruiz¹,

Fontanini²

2020

Proc. 28th Annual Conference of the International Group for Lean Construction (IGLC)

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The construction sector is considered one of the largest resource consumers on the planet and one of the main productive sectors of the economy. This scenario justifies the study of the flow of materials used in the construction, from the systematization of its processes, to reduce waste and improve the processes involved. This research aims to develop a simulation model of a residential building sand supply chain with the application of the delay meter and its monetary impacts on the enterprise. The impact of delays in the flow of the supply chain was analyzed and verified through a series of simulations. The application of the Lean Construction principles and the possibilities of theoretical simulation with the use of the solutions proposed by the researchers stand out. The proposed model demonstrates the impacts arising from delays in the delivery of materials, leading to the stoppage of teams and the accumulation of work. This scenario leads to the delay in the delivery of the project or the need to increase the team to achieve the productivity rates necessary to mitigate the existing delays. The model structure used in this study has potential for implementation in other construction supply chains.

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Materials Flow Investigation: an Aluminum Frames Supply Chain Simulation

Cited by 4 publications

References 0 publications

Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review

Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review

Design of Construction and Controlling of Automation Technics in Order to Improve Skills of Students

Construction Materials Flow Investigation – Delay Evaluation in a Sand Supply Chain With Simulation

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