Scheduling the replenishment of just-in-time supermarkets in assembly plants

Emde, Simon

doi:10.1007/s00291-016-0455-x

Cited by 23 publications

(11 citation statements)

References 32 publications

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“…According to some authors the concept of manufacturing supermarket is little explored in the research literature (e.g., Saaidia et al 2014). Still, the papers dealing with the manufacturing supermarkets usually focus on aspects like the definition of routes and scheduling of tow trains or the size and location of supermarkets (Emde 2017). Related to supermarket locations, (Alnahhal and Noche 2015) tackle this important problem as well as the use of tow trains.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation Of An Order Picking System In A Manufacturing Supermarket Using Collaborative Robots

Coelho¹,

Relvas²,

Barbosa‐Póvoa³

2018

ECMS 2018 Proceedings Edited by Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen

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Manufacturing industries depend on robust internal logistics operations that enable efficient production strategies, as is the case of an assembly line feed by an internal logistics supermarket. Agile decision making in flexible manufacturing elevates the need for planning the overall shop-floor operations and controlling them. This work explores the existing literature regarding the operation of manufacturing supermarkets and proposes a simulation tool that analyses the order picking activity in a logistics supermarket where the usage of robots is explored in order to feed flexible manufacturing assembly lines efficiently leading to economic savings. This is done using Simio-simulation modelling framework based on intelligent objects. The model outputs suggest that the system performance increases with humans. Although, when uncertainty is considered, the collaborative robots are more flexible, which leads to lower variations of performance.

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Section: Literature Reviewmentioning

confidence: 99%

Simulation Of An Order Picking System In A Manufacturing Supermarket Using Collaborative Robots

Coelho¹,

Relvas²,

Barbosa‐Póvoa³

2018

ECMS 2018 Proceedings Edited by Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen

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“…Após se elaborar uma análise de valor às atividades constituintes dos processos, as ferramentas Lean têm um grande potencial para auxiliar nesta redução/eliminação das atividades que não lhe acrescentam qualquer valor. De entre todas as ferramentas existentes, e pelas inúmeras vantagens que trazem para o mundo empresarial, destacam-se as seguintes: KANBAN (Lolli et al, 2016); "5 Why's" (Perry and Mehltretter, 2018); conceitos de ergonomia de trabalho com aumento de eficiência na produtividade (Alsaffar and Ketan, 2019); ANDON (Minh, Nguyen and Cuong, 2019); gestão visual através de quadros operacionais (Bateman, Philp and Warrender, 2016); dimensionamento de supermercados de abastecimento (Emde, 2017); conceitos sobre otimização de layouts, utilizando o spaghetti diagram (Senderská, Mareš and Václav, 2017); 5 S's (Boca, 2015); e ainda, o Obeya Room (Javadi, Shahbazi and Jackson, 2013).…”

Section: Sobre Bpm E Leanunclassified

O BPMN E O Lean Na Padronzação E Melhoria Contínua Dos Processos: Uma Metodologia Aplicada Num Caso Prático

Castro¹,

Teixeira²

2019

Atas Da Conferência Ibero-Americana WWW/Internet 2019

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Devido ao crescente nível de competitividade e ao aumento da pressão a que as empresas estão sujeitas hoje em dia, torna-se premente a necessidade de analisar, melhorar e padronizar de forma contínua todos os processos. A gestão dos processos de negócio (BPM), onde se inclui a modelação, surge como resposta àquela necessidade, levando, muitas vezes a processos de desmaterialização. Porém, a padronização, por si só, não é suficiente para elevar a competitividade de uma empresa. É necessário aliar a melhoria contínua através do uso de ferramentas Lean, uma vez serem adequadas à identificação e, consequente, à eliminação de desperdícios e atividades de valor não acrescentado (NVA). Este trabalho surge com esta necessidade, tendo como objetivo a proposta de uma metodologia que combina os conceitos de Lean e BPM, usando para a representação dos processos a notação BPMN 2.0 (Business Process Model and Notation) para a representação dos processos. A metodologia foi testada numa empresa pertencente à indústria do plástico, tendo os resultados contribuído para a preparação e iniciação do processo de certificação com a norma de qualidade, ISO9001:2015.

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“…And the latter is produced by JIT supply need and line-side inventory limits, which not only requires no stock-out but also exhibits limitations on the line-side inventory. 6 Consequently, the supply quantity and delivery time should be reasonably allocated to improve the delivery efficiency and optimize the energy consumption in each cycle at each station.…”

Section: Introductionmentioning

confidence: 99%

Hybrid self-adaptive biobjective optimization of multiple robot scheduling problem for mixed-model assembly lines considering energy savings

Zhou

Fei

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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With the wide application of robots in the material distribution process on the assembly lines, single robot scheduling cannot meet the actual production needs. However, the high degree of mechanization also brings about environmental problems. Therefore, this article aims to develop a scheduling methodology to accomplish material supply tasks using multiple robots with energy consumption consideration. Meanwhile, a targeted mathematical model to minimize total weighted penalty costs and total energy consumption is developed. Due to the NP-hard nature of the problem, an adaptive hybrid mutation population extremal optimization multi-objective algorithm based on uniform distribution selection is proposed to solve multi-objective problems. Furthermore, a new coding method for initialization is designed to optimize the whole iterative process. The performance of the proposed algorithm is evaluated by comparing with three benchmark multi-objective algorithms. Computational experiments are represented to prove the validity and feasibility of the proposed algorithm.

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Scheduling the replenishment of just-in-time supermarkets in assembly plants

Cited by 23 publications

References 32 publications

Simulation Of An Order Picking System In A Manufacturing Supermarket Using Collaborative Robots

Simulation Of An Order Picking System In A Manufacturing Supermarket Using Collaborative Robots

O BPMN E O Lean Na Padronzação E Melhoria Contínua Dos Processos: Uma Metodologia Aplicada Num Caso Prático

Hybrid self-adaptive biobjective optimization of multiple robot scheduling problem for mixed-model assembly lines considering energy savings

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