A Development Methodology Framework of Smart Manufacturing Systems (Industry 4.0)

Abstract

Numerous studies have been conducted to reveal the importance of Smart Manufacturing Systems (SMS) or Industry 4.0, but very few studies have been made to answer the question on "how to establish a new SMS" taking into account the required efficiency, reliability, cost-effectiveness, and sustainability that requires pre-implementation planning and assessment. Besides, the discussion on the challenges of SMS adoption is very limited in the literature studies. In particular, the recent configuration models proposed by literature overlooked the pivotal role of robots in any SMS project. Therefore, a clear and concise development framework is needed to provide a better understanding of the development process of a new SMS, which leads to higher adoption of this new technology. To do so, the main objective of this study is to propose a development methodology framework that enables stakeholders to build better SMS capabilities while enhancing the adoption awareness of industry 4.0 among manufacturers. The framework consists of four phases, system and robots' configuration, smart system components, smart system integration, and evaluation and selection. This study supports the realization of Industry 4.0, particularly in Malaysia. Currently, Malaysia is behind other ASEAN countries like Indonesia and Singapore as the highest growth country in the digital economy. The proposed methodology is expected to support different industries in the adoption of the technology in building a new SMS or evaluating an existing one.

O Processo De Implantação Das Tecnologias Habilitadoras Da Indústria 4.0: Revisão Sistemática Da Literatura

“…Em relação a metodologia, a maioria dos estudos é de base teórica, usando a RSL como única fonte de coleta de dados (GARAY-RONDERO et al, 2020;BUTT, 2020;GHADGE et al, 2020;SZáSZ, 2020;MAHMOUD et al, 2020;ZHENG et al, 2018;ZHANG;MING, 2021;SUFIAN et al, 2021;LIEBRECHT et al, 2021;SANGHAVI et al, 2019;CORDEIRO et al, 2019e LI et al, 2018. Há estudos que combinam métodos (ZHUANG et al, 2021;GAJDZIKet al, 2021e COTRINO et al, 2020) , survey (NWAIWU et al, 2020 e estudos de caso (GIRALDO et al, 2021;KRISHNAN et al, 2021;TALHI et al, 2020;KADIR;BROBERG, 2021;SHAO et al, 2021 e GHOBAKHLOO;FATHI, 2020).…”

An Evaluation Model of Smart Manufacturing System Configurations Prior to Implementation Using Fuzzy Logic

“…Finally, the results will be presented to the actual field engineers for validation purposes. Based on the engineers' recommendation, Besides the gap found in the formulation of the configuration evaluation factors, another gap that has been identified through this literature review is that studies lack clear measurement on the influence of each factor on another, which will directly impact the cost estimation of establishing a new SMS in the manufacturing industry [30][31][32]. This research aims to bridge the gap by formulating a model that generates SMS configurations in order to measure the relationship in given configuration settings, which will be developed using the Fuzzy Logic approach.…”