Leadtime target inbound supply chain – Canon Production Printing
Overview
| Company Name / Department | Canon Production Printing |
| Contact Person | Roger Vliegen |
| Location | Venlo, The Netherlands |
| Optional remote work | No |
| Travel expenses (own account or reimbursed by the company) | Own account |
| Housing arranged by company | No |
| Housing expenses (how much per month, own account or subsidized by the company) | Own account |
| Internship compensation | €500,- per month |
| Study program | Business administration, Supply chain management, Logistics management, operations management or similar |
| ESCF community |
Full member |
| Start date |
February 2024 |
Company Description
Canon is global leader in consumer and professional imaging. Founded in 1877 in Venlo, the Netherlands, Canon Production Printing has a long history of technical innovation and development. A key asset is inkjet, a game-changing and widely applicable imaging technology.
Project Description
Project description:
Canon production printing in Venlo produces various extremely complex machines. For example; one of these machines consists of about ~60.000 parts, of which 6.000 unique parts.
These parts stretch over various commodities, such as: sheet metal, rubber and electronics etc. Moreover, we replenish these products via different replenishment strategies, such as Kanban, VMI and single order. This makes it difficult for us to set one singular target for our inbound lead-time.
Nevertheless, in order to create standardization in the inbound supply chain team and achieve flexibility in our outbound supply chain, we want to implement targets for the inbound lead-time.
These leadtimes are important parameters used in planning and scheduling of inventory and production Furthermore this determines our supply chain flexibility and is input for longterm supply strategies (eg production location, make/buy decisions).
Goals of the project:
Create a model to simulate the current leadtime decompositions (eg based on supplier, commodity, transport, productions methods and other relevant parameters). Based on this model you can determine our optimal inbound supply chain lead-time and its decomposition and define the flexibility range to be used by demand planning and production.
Deliverables:
- Framework/model to define the inbound parts leadtime in a complex assembly environment
- Decomposition of supply lead time, based on defined elements (eg. costs, lead time, ordering methods, inventory,etc)
- Calculate leadtime range of inbound supply base to be used for total optimization (lead time vs costs) within demand and production planning
Essential student knowledge:
Supply chain management, operations management.
More information: escf@tue.nl
