2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2015
DOI: 10.1109/ieem.2015.7385669
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The complexity of Electronic Data Interchange (EDI) compliance for automotive supply chain

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Cited by 10 publications
(7 citation statements)
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“…Automatic ordering/interactive call-offs: As found in all cases, ordering, although already being quite digitalized and automated based upon the for automotive prevailing EDI solutions (Jardini et al, 2015;Bennett and Klug, 2012), is expected to become even more automatic. The initial purchase order, which activates the contract for subsequent call-offs/rebuys, can be automatically derivable from system data using IoT, without human involvement.…”
Section: Orderingmentioning
confidence: 99%
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“…Automatic ordering/interactive call-offs: As found in all cases, ordering, although already being quite digitalized and automated based upon the for automotive prevailing EDI solutions (Jardini et al, 2015;Bennett and Klug, 2012), is expected to become even more automatic. The initial purchase order, which activates the contract for subsequent call-offs/rebuys, can be automatically derivable from system data using IoT, without human involvement.…”
Section: Orderingmentioning
confidence: 99%
“…The number of individualized variants is growing (Bennett and Klug, 2012; a car contains more than 5,000 components, implying a complex tier supplier network (Cani€ els et al, 2013). Electronic data exchange (EDI) is often used for handling information flows between manufacturers and suppliers, either using traditional, costly standards, or more updated web-EDI solutions (Jardini et al, 2015;Bennett and Klug, 2012). Specific project-related material requirements, long contracts, crossfunctional involvement, high cost accounting focus, large supplier bases, modular product configurations, and close collaborations and integration in logistics are also industry characteristics (Hertenstein and Williamson, 2018;Bennett and Klug, 2012;Pereira et al, 2011;Thun and Hoenig, 2011;Schmitz and Platts, 2003).…”
Section: Automotive Manufacturing Characteristicsmentioning
confidence: 99%
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“…насколько снизятся текущие затраты фирмы. Для традиционного промышленного предприятия в первую очередь важно изменение трансформационных затрат, что подтверждается рядом эмпирических исследований (Adnan-Ariffin & Coussins, 2010; Jardini et al, 2015). В результате цифровизации растет оперативность работы с информацией, сокращается число ошибок и время на согласование и принятие решений, повышается прозрачность бизнес-процессов и исполнительской дисциплины.…”
Section: феномен возрастающей отдачи как инструмент трансформации бизunclassified
“…насколько снизятся текущие затраты фирмы. Для традиционного промышленного предприятия в первую очередь важно изменение трансформационных затрат, что подтверждается рядом эмпирических исследований Jardini et al, 2015). В результате цифровизации растет оперативность работы с информацией, сокращается число ошибок и время на согласование и принятие решений, повышается прозрачность бизнес-процессов и исполнительской дисциплины.…”
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