Works matching IS 18952038 AND DT 2024 AND VI 20 AND IP 2
Results: 9
OPTIMAL DETERIORATION CONTROL AND GREENING LEVEL POLICIES FOR PERISHABLE PRODUCTS UNDER CARBON TAX.
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- LogForum, 2024, v. 20, n. 2, p. 263, doi. 10.17270/J.LOG.001037
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- Article
BIG DATA CAPABILITY AND SUPPLY CHAIN PERFORMANCE: THE MEDIATING EFFECT OF SUPPLY CHAIN RESILIENCE AND THE MODERATING EFFECT OF ENVIRONMENTAL UNCERTAINTY.
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- LogForum, 2024, v. 20, n. 2, p. 243, doi. 10.17270/J.LOG.001035
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- Article
NEW APPROACHES TO MODELING RESILIENT DECISIONS UNDER DEEP UNCERTAINTY TO MANAGE THE DOWNSTREAM SUPPLY CHAIN.
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- LogForum, 2024, v. 20, n. 2, p. 227, doi. 10.17270/J.LOG.001030
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- Article
UNLOCKING CONSUMER TRUST: EXPLORING KEY FACTORS IN BLOCKCHAIN-ENABLED TRACEABILITY FOR THE PROCESSED FOOD SUPPLY CHAIN.
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- LogForum, 2024, v. 20, n. 2, p. 209, doi. 10.17270/J.LOG.001023
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- Article
CONSUMER PERCEPTION TOWARDS TRACEABLE DAIRY PRODUCTS: AN EMPIRICAL STUDY.
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- LogForum, 2024, v. 20, n. 2, p. 191, doi. 10.17270/J.LOG.001018
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- Article
USING MCDM METHODS TO OPTIMISE MACHINE LEARNING DECISIONS FOR SUPPLY CHAIN DELAY PREDICTION: A STAKEHOLDER-CENTRIC APPROACH.
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- LogForum, 2024, v. 20, n. 2, p. 175, doi. 10.17270/J.LOG.001019
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- Article
REAL-TIME VISIBILITY AS A CATALYST FOR OPERATIONAL ENHANCEMENTS.
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- LogForum, 2024, v. 20, n. 2, p. 161, doi. 10.17270/J.LOG.001010
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- Article
LEAD TIME PREDICTION USING ADVANCED DEEP LEARNING APPROACHES: A CASE STUDY IN THE TEXTILE INDUSTRY.
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- LogForum, 2024, v. 20, n. 2, p. 149, doi. 10.17270/J.LOG.000979
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- Article
FORGING A SUSTAINABLE PATH: UNLEASHING COLLABORATIVE INNOVATION TO EXPEDITE THE INTEGRATION OF GREEN TECHNOLOGIES INTO SUPPLY CHAINS.
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- LogForum, 2024, v. 20, n. 2, p. 133, doi. 10.17270/J.LOG.000984
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- Article