Cloud-based adaptive process planning considering availability and capabilities of machine tools

Mourtzis, Dimitris; Vlachou, Ekaterini; Xanthopoulos, Nikitas; Givehchi, Mohammad; Wang, Lihui

doi:10.1016/j.jmsy.2016.01.003

Cited by 104 publications

(34 citation statements)

References 29 publications

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“…The direct digital nature of AM combined with the use of cyber-physical systems will allow for cloud-based AM [186]. The benefits of cloud-based approaches have already been demonstrated in process optimization [320], adaptive process planning [235], shop-floor planning [234], scheduling [236], and maintenance [237]. The benefits of higher quality, hybrid, high DOF, cyber-physical, and cloud-based AM systems are expected to be emergent.…”

Section: New Manufacturing Paradigms and A Divergence Of Manufacturinmentioning

confidence: 99%

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

et al. 2016

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The past few decades have seen substantial growth in Additive Manufacturing (AM) technologies. However, this growth has mainly been process-driven. The evolution of engineering design to take advantage of the possibilities afforded by AM and to manage the constraints associated with the technology has lagged behind. This paper presents the major opportunities, constraints, and economic considerations for Design for Additive Manufacturing. It explores issues related to design and redesign for direct and indirect AM production. It also highlights key industrial applications, outlines future challenges, and identifies promising directions for research and the exploitation of AM's full potential in industry.Design, Manufacturing, Additive Manufacturing

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Section: New Manufacturing Paradigms and A Divergence Of Manufacturinmentioning

confidence: 99%

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

et al. 2016

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“…Using these components can help to increase the capacity for product customization, mass production, flexibility, and quality of products [6,7]. Mourtzis et al [11,12] presented an efficient operational policy and application for scheduling systems by using mobile networks, and devised a tool-and machine-scheduling algorithm based on cloud computing [13].…”

Section: Literature Reviewmentioning

confidence: 99%

“…From the results of Section 4.1 and this section, the job to be processed for each workstation, when equipment becomes available, is chosen by using the dispatching rules suggested in Section 4.1, and the lot size to be processed consecutively without setup operation is determined by using Equation (13). The detailed procedure for developing the schedule for the whole workstation is described in the following.…”

Section: Determining the Lot Sizementioning

confidence: 99%

Innovative Production Scheduling with Customer Satisfaction Based Measurement for the Sustainability of Manufacturing Firms

2017

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Scheduling problems for the sustainability of manufacturing firms in the era of the fourth industrial revolution is addressed in this research. In terms of open innovation, innovative production scheduling can be defined as scheduling using big data, cyber-physical systems, internet of things, cloud computing, mobile network, and so on. In this environment, one of the most important things is to develop an innovative scheduling algorithm for the sustainability of manufacturing firms. In this research, a flexible flowshop scheduling problem is considered with the properties of sequence-dependent setup and different process plans for jobs. In a flexible flowshop, there are serial workstations with multiple pieces of equipment that are able to process multiple lots simultaneously. Since the scheduling in this workshop is known to be extremely difficult, it is important to devise an efficient and effective scheduling algorithm. In this research, a heuristic algorithm is proposed based on a few dispatching rules and economic lot size model with the objective of minimizing total tardiness of orders. For the purposes of performance evaluation, a simulation study is conducted on randomly generated problem instances. The results imply that our proposed method outperforms the existing ones, and greatly enhances the sustainability of manufacturing firms.

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“…Alguns dos subsistemas existentes na arquitetura IoT são: identificação, monitoramento, rede de comunicação, computação, aplicativo, serviços e semântica (AL-FUQAHA et al, 2015;MOURTZIS et al, 2016 (BORGIA, 2014;GUBBI et al, 2013;HASHEM et al, 2016).…”

Section: Internet Das Coisas (Internet Of Things -Iot)unclassified

Componentes Dos Modelos De Negócio Para Iot Na Área De Desenvolvimento De Produtos

Almeida¹,

Fettermann²

2017

Blucher Design Proceedings

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RESUMOA incorporação de tecnologias denominadas de Internet das Coisas (Internet of Things -IoT) é crescente tanto no desenvolvimento de produtos e serviços. Na área de tecnologia, são frequentes os casos de negócios que são criados a partir do desenvolvimento de um produto. Para organizar o desenvolvimento desses novos negócios foram desenvolvidos os Modelos de Negócio (Business Models -BM), que podem ser criados seguindo diversos focos, inclusive o de tecnologias IoT.A utilização deste tipo de tecnologia permite o atendimento de diversas oportunidades de novos produtos, entretanto sua aplicabilidade no desenvolvimento de novas empresas ainda é pouco explorada na literatura. Este artigo tem por objetivo realizar uma revisão de literatura sobre a estrutura dos Modelos de Negócios para desenvolvimento de produtos e serviços com tecnologias IoT. Como fonte de dados utilizou-se uma revisão sistemática da literatura na base de dados internacional Science Direct para a busca dos Modelos de Negócios para IoT. A partir da coleta de dados desenvolveu-se uma análise de conteúdo dos Modelos de Negócio para IoT, a fim de identificar as características gerais dos BM para IoT e os componentes mais frequentes utilizados neste tipo de BM.A partir da coleta de dados espera-se desenvolver uma análise de conteúdo dos Modelos de Negócio para IoT, de modo a identificar os principais elementos analisados nos modelos para esse fim. Com os resultados alcançados apresenta-se como contribuição teórica: (i) identificação dos componentes dos Modelos de Negócio para IoT mais frequentes nas propostas, (ii) realização de um compêndio dos Modelos de Negócios direcionados à IoT. Entre as contribuições práticas dos resultados podemos mencionar a criação de base de dados para empresas que desejam empregar novos Modelos de Negócio para desenvolvimento dos seus produtos a partir de tecnologias IoT.Palavras-chave: IoT; Modelos de Negócio, Internet das Coisas; Desenvolvimento de Produtos e Serviços; Inovação.

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Cloud-based adaptive process planning considering availability and capabilities of machine tools

Cited by 104 publications

References 29 publications

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints

Innovative Production Scheduling with Customer Satisfaction Based Measurement for the Sustainability of Manufacturing Firms

Componentes Dos Modelos De Negócio Para Iot Na Área De Desenvolvimento De Produtos

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