Search Results - "Computers & industrial engineering"

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  1. 1

    Omnichannel fulfillment and item-level RFID tracking in fashion retailing by Ovezmyradov, Berdymyrat, Kurata, Hisashi

    Published in Computers & industrial engineering (01-06-2022)
    “…•Model of supply chain with item-level RFID tracking in a fashion store.•Responses to stockout and item-level tracking can reduce inventory.•Shrinkage,…”
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    Journal Article
  2. 2

    Aquila Optimizer: A novel meta-heuristic optimization algorithm by Abualigah, Laith, Yousri, Dalia, Abd Elaziz, Mohamed, Ewees, Ahmed A., Al-qaness, Mohammed A.A., Gandomi, Amir H.

    Published in Computers & industrial engineering (01-07-2021)
    “…•Developed a novel optimizer inspired by the behavior of Aquila (AO).•Tested AO against classical, CEC2017, CEC2019 test functions and engineering…”
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    Journal Article
  3. 3

    African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems by Abdollahzadeh, Benyamin, Gharehchopogh, Farhad Soleimanian, Mirjalili, Seyedali

    Published in Computers & industrial engineering (01-08-2021)
    “…•A new metaheuristic algorithm is proposed inspired by African vultures’ lifestyle.•The proposed algorithm is first tested on 36 standard test…”
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    Journal Article
  4. 4

    A review of applications in federated learning by Li, Li, Fan, Yuxi, Tse, Mike, Lin, Kuo-Yi

    Published in Computers & industrial engineering (01-11-2020)
    “…•Applications of New Industrial Engineering Methodologies.•Research activities relating to federated learning.•Prevailing federated learning…”
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    Journal Article
  5. 5

    Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS) by Stević, Željko, Pamučar, Dragan, Puška, Adis, Chatterjee, Prasenjit

    Published in Computers & industrial engineering (01-02-2020)
    “…•A new MCDM model – MARCOS for sustainable supplier selection is proposed.•The first study for sustainable supplier selection in private healthcare…”
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    Journal Article
  6. 6

    A systematic literature review of machine learning methods applied to predictive maintenance by Carvalho, Thyago P., Soares, Fabrízzio A. A. M. N., Vita, Roberto, Francisco, Roberto da P., Basto, João P., Alcalá, Symone G. S.

    Published in Computers & industrial engineering (01-11-2019)
    “…•This paper presents a review of machine learning methods for predictive maintenance.•Machine learning techniques, their challenges and opportunities, are…”
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    Journal Article
  7. 7

    Predictive maintenance in the Industry 4.0: A systematic literature review by Zonta, Tiago, da Costa, Cristiano André, da Rosa Righi, Rodrigo, de Lima, Miromar José, da Trindade, Eduardo Silveira, Li, Guann Pyng

    Published in Computers & industrial engineering (01-12-2020)
    “…Industry 4.0 is collaborating directly for the technological revolution. Both machines and managers are daily confronted with decision making involving a…”
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  8. 8

    A mayfly optimization algorithm by Zervoudakis, Konstantinos, Tsafarakis, Stelios

    Published in Computers & industrial engineering (01-07-2020)
    “…•An efficient powerful optimization method (MA) is presented.•Performance of MA is checked for benchmark both continuous and discrete functions.•MA performs…”
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    Journal Article
  9. 9

    Supply chain transparency through blockchain-based traceability: An overview with demonstration by Sunny, Justin, Undralla, Naveen, Madhusudanan Pillai, V.

    Published in Computers & industrial engineering (01-12-2020)
    “…•Blockchain-based traceability solutions bring better transparency in supply chain.•Literature on blockchain-based traceability solutions are mostly…”
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  10. 10

    A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements by Manavalan, E., Jayakrishna, K.

    Published in Computers & industrial engineering (01-01-2019)
    “…•Framework developed to assess supply chain sustainability for Industry 4.0 needs.•Remarkable scope for sustainable supply chain leveraging IoT exists.•IoT…”
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  11. 11

    Golden eagle optimizer: A nature-inspired metaheuristic algorithm by Mohammadi-Balani, Abdolkarim, Dehghan Nayeri, Mahmoud, Azar, Adel, Taghizadeh-Yazdi, Mohammadreza

    Published in Computers & industrial engineering (01-02-2021)
    “…•A new metaheuristic algorithm called Golden Eagle Optimizer (GEO) is proposed.•Multi-Objective Golden Eagle Optimizer (MOGEO) is proposed for solving…”
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    Journal Article
  12. 12

    Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic by Spieske, Alexander, Birkel, Hendrik

    Published in Computers & industrial engineering (01-08-2021)
    “…•Holistic literature review combining industry 4.0 and resilience perspectives.•Categorization of industry 4.0 technologies in a supply chain resilience…”
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    Journal Article
  13. 13

    Blockchain-based framework for supply chain traceability: A case example of textile and clothing industry by Agrawal, Tarun Kumar, Kumar, Vijay, Pal, Rudrajeet, Wang, Lichuan, Chen, Yan

    Published in Computers & industrial engineering (01-04-2021)
    “…•Study proposes a blockchain-based traceability framework for the supply chain.•Explains information exchange among supply chain stakeholders.•Operational mode…”
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  14. 14

    Path planning optimization of indoor mobile robot based on adaptive ant colony algorithm by Miao, Changwei, Chen, Guangzhu, Yan, Chengliang, Wu, Yuanyuan

    Published in Computers & industrial engineering (01-06-2021)
    “…•Heuristic distance in ant colony algorithm (ACO) is redefined.•Transition probability is improved by introducing obstacle exclusion and angle steering…”
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  15. 15

    Augmented reality in support of intelligent manufacturing – A systematic literature review by Egger, Johannes, Masood, Tariq

    Published in Computers & industrial engineering (01-02-2020)
    “…•Augmented Reality (AR) is a major part of industry 4.0 advancements.•While AR is not ready yet for industrial deployment in some areas, it is already used in…”
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  16. 16

    The vehicle routing problem: State of the art classification and review by Braekers, Kris, Ramaekers, Katrien, Van Nieuwenhuyse, Inneke

    Published in Computers & industrial engineering (01-09-2016)
    “…•Taxonomic review of vehicle routing literature published between 2009 and mid 2015.•An adapted version of an existing comprehensive taxonomy is presented.•277…”
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  17. 17

    The electric vehicle routing problem and its variations: A literature review by Kucukoglu, Ilker, Dewil, Reginald, Cattrysse, Dirk

    Published in Computers & industrial engineering (01-11-2021)
    “…•A literature review on the electric vehicle routing problem is introduced.•A systematic classification is presented.•Existing solution approaches for the…”
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  18. 18

    A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem by Chen, Ronghua, Yang, Bo, Li, Shi, Wang, Shilong

    Published in Computers & industrial engineering (01-11-2020)
    “…•A self-learning GA (SLGA) which combines both SARSA and Q-learning with GA is first proposed to solve FJSP.•The combined model of SLGA is constructed…”
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  19. 19

    An optimized model using LSTM network for demand forecasting by Abbasimehr, Hossein, Shabani, Mostafa, Yousefi, Mohsen

    Published in Computers & industrial engineering (01-05-2020)
    “…•A demand forecasting method based on multi-layer LSTM networks is proposed.•The proposed method improves the forecasting accuracy.•It has strong ability to…”
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  20. 20

    A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries by Lim, Ming K., Li, Yan, Wang, Chao, Tseng, Ming-Lang

    Published in Computers & industrial engineering (01-04-2021)
    “…•There is a growing interest in applying blockchain technology in supply chain operations.•Research on blockchain configuration receives less attention as…”
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    Journal Article