Mobile Supply Chain Event Management Using Auto-ID and Sensor Technologies — A Simulation Approach

Teuteberg, Frank; Ickerott, Ingmar

doi:10.1007/978-1-84628-607-0_5

Cited by 6 publications

(5 citation statements)

References 24 publications

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“…There is a lack of studies about mSCM coordination with technologies such as Semantic Web, Web Services ( Jankowska et al, 2007), agents (Teuteberg and Ickerott, 2007), and context-aware computing. Soroor et al (2009) propose an intelligent wireless web model and present an implementation scenario.…”

Section: Content Analysismentioning

confidence: 99%

Mobile supply chain management in the Industry 4.0 era

Barata

Cunha

Stal

2018

JEIM

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Purpose The purpose of this paper is to identify avenues for future research in mobile supply chain management (mSCM) in the advent of Industry 4.0. Design/methodology/approach A systematic literature review was used to identify, classify, and analyze current knowledge, identify trends, and propose recommendations for future research. Findings Other research fields, such as operations, production, industrial engineering, and computer science, seem to have a head start in research into Industry 4.0. Several avenues are suggested for investigation under an information systems lens. Research limitations/implications Despite the care taken in the systematic literature review, the language (English), the selected keywords, and selected databases represent a natural limitation. Practical implications With Industry 4.0 at the top of the agenda of managers and countries, it is important to identify relevant research avenues. Originality/value A gap between the extant literature on mSCM and new concerns raised by Industry 4.0 is presented, and some research opportunities to close those gaps are proposed.

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Section: Content Analysismentioning

confidence: 99%

Mobile supply chain management in the Industry 4.0 era

Barata

Cunha

Stal

2018

JEIM

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“…This implies a more complex modeling of specific production problemsregarding the configuration of parameter and definition of relevant process variables -than in a specialized environment. The disadvantage of simulation is that it often is a timeconsuming method [6].…”

Section: The Lupo Simulation Environmentmentioning

confidence: 99%

“…Hitherto, existing approaches like the experimental research of isolated technologies or the entire computer-based simulation of whole plants usually have a low transferability, a high effort of modeling and linked costs [6]. Additionally a long time-period is necessary until consolidated findings are available.…”

Section: Introductionmentioning

confidence: 99%

Productivity evaluation of autonomous production objects

Gronau

Theuer

Lass

et al. 2010

2010 8th IEEE International Conference on Industrial Informatics

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The LUPO project's objective is the rapid evaluation of autonomous technologies in production, assembling and logistics in order to make a solid statement about the best mix of centralized and decentralized control in enterprises. For this purpose a hybrid simulator is developed. The hybrid simulator consists of physical work-piece demonstrators and machine-center demonstrators which are equipped with various autonomous communication techniques. Processes can be quickly built, varied, simulated and analyzed by using a modern production management system. At the end of the project it should be possible to receive reliable results on the benefits of autonomous production objects within a week. Potsdam

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“…Identification of disruptions plays an important role in the assessment of supply chain risks (Teuteberg a. Ickerott 2007). In Table 2, we classify disruptions by means of several criteria in a morphological box.…”

Section: A Framework For Analyzing and Assessing Risks In Supply Chainsmentioning

confidence: 99%