2018
DOI: 10.1007/978-3-319-75677-6_57
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Supply Chain Optimization in Automotive Industry: A Comparative Analysis of Evolutionary and Swarming Heuristics

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Cited by 12 publications
(9 citation statements)
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“…Although significant effort has been made to conceptualize the terms I4.0 and smart technologies [30] and empirical works [5,9,31,32], the reality of SMEs' positioning in such a setting is not yet clear.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
See 1 more Smart Citation
“…Although significant effort has been made to conceptualize the terms I4.0 and smart technologies [30] and empirical works [5,9,31,32], the reality of SMEs' positioning in such a setting is not yet clear.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The only work that goes slightly further is Veres, Illes, and Landschutzer [30], which focused on the supply chain and compared algorithms for speed and accuracy. The efficiency of both algorithms was demonstrated with a supply chain optimization problem in the automotive industry.…”
Section: Digital Applications In Smes: Current State Toward Industry 40mentioning
confidence: 99%
“…A bemutatott példa egyedisége abban rejlik, hogy a milkrun anyagellátási rendszer tervezésekor a göngyöleg inverz folyamatait is integrálja a rendszerbe, mely mind az üzemen belüli, mind az üzemen kívüli milkrun folyamatoknak szerves része [12]. Természetesen a heurisztikus megoldások mellett számos szimulációs alkalmazás is nagymértékben segítheti a milkrun rendszerek tervezését [13][14][15][16]. A cikk ezen rövid szakirodalmi áttekintést követően bemutatja a konkrét optimalizálási feladatot.…”
Section: Szakirodalmi áTtekintésunclassified
“…I4.0 projects driven by SMEs often remain cost-driven initiatives [5,11] and to this day there is no evidence of real business model transformation [5]. Empirical cases in research are frequently centered around presenting single applications, emphasizing the low-cost factor as a main advantage and strength of their application [3,[12][13][14][15][16][17]. The implementation of the I4.0 concept implies a major challenge which is resilience and robustness of the production system, which is the ability to absorb manufacturing disturbances without failing or breaking and be able to adapt to major variations and gradually return to its original state or "normal" state and level of performance [18,19].…”
Section: Introductionmentioning
confidence: 99%