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Data · dataset · 2020

Data for: Optimisation model for multi-item multi-echelon supply chains with nested multi-level products

Listed in Teesside University Research Data Repository

The dataset contains the data used in our study "Optimisation model for multi-item multi-echelon supply chains with nested multi-level products".

Description

We provide one dataset that describes an automotive production network that comprises of one OEM, four first-tier suppliers and two second-tier suppliers (nodes), their relations (arcs) and their production and logistics processes to fulfil customers demand. The dataset includes information about: - product structure of 28.049 products (e.g. cars, engines, gears ..) - 12 nodes (e.g. car plant, engine supplier, ..), their assigned products and initial inventory as well as maximum inventory - 11 arcs (e.g. lead-time from engine supplier to car plant), their available transport or production capacity for each period and the initial flows - bill of materials - customers demand for each car over a horizon of 14 days

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 9 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/pr3sdy5vp3.114 h agoJSON v1
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concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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