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Einfluss der Informationstechnologie und des Internets auf die Produktionsplanung der Wertschöpfungsketten in der chemischen Industrie

2000· article· de· W2168719322 on OpenAlex
J. Poesche

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemie Ingenieur Technik · 2000
Typearticle
Languagede
FieldEngineering
TopicFlexible and Reconfigurable Manufacturing Systems
Canadian institutionsSt. Joseph's Care Group
Fundersnot available
KeywordsBusiness administrationBusinessHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Die Informationstechnologie ermöglicht den immer schnelleren und umfangreicheren Austausch von Informationen zwischen Kunden und Produzenten einerseits und den verschiedenen Partnern der jeweiligen Wertschöpfungskette anderseits. Das Wachstum bei Intensität und Geschwindigkeit des Informationsaustausches ermöglicht eine engere Zusammenarbeit bei Gestaltung, Spezifikation und Herstellung chemischer Produkte. Diese werden folglich immer kunden-, zeit-, situations- und anwendungsspezifischer. Jedoch müssen nicht nur neue Hochleistungskabel und Rechner installiert werden, vielmehr müssen die gesamte Wertschöpfungskette und der Produktionsprozess an kürzere Produktionskampagnen und größere Varianz bei Produkteigenschaften und -zusammensetzungen angepasst werden. Dieser Aufsatz beschäftigt sich mit den Anforderungen, die sich für die chemische Industrie aus betriebswirtschaftlicher Sicht unter den Bedingungen der vernetzten Informationsgesellschaft ergeben. IT permits ever-faster exchange of ever-increasing volumes of information between customers and manufacturers on the one hand and the various partners of specific value creation chains on the other. Growth in the intensity and speed of information transfer permits closer collaboration in the design, specification, and production of chemical products. Such products are thus becoming more and more customer-, time-, situation-, and application-spe cific. However, it is often necessary not only to install new high performance cables and computers but also to adapt the entire value creation chain and the production process to shorter production campaigns and greater variation in product properties and compositions. This paper is concerned with the business demands placed on the chemical industry under the conditions of the networked information society.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.231
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it