Awarded contract
Published
Trykning og distribution af AFFALD KBH - Københavns Kommune
45 Suppliers have already viewed this notice
Track & Win Public Sector Contracts and Tenders. Sign up for Free
Description
Udbuddet omfatter trykning og distribution af AFFALD KBH for Københavns Kommune. Lot 1: Leverandøren skal forestå trykning af AFFALD KBH. AFFALD KBH skal distribueres til samtlige private husstande i Københavns Kommune. Der skal produceres følgende oplag pr. omdeling: AFFALD KBH - Lejlighed, ca. 310.000 stk. AFFALD KBH - Villa/rækkehus, ca. 30.000 stk. Begge udgaver, yderligere ca. 1.500 stk. (ca. 750 af hver udgave) Leverandøren skal desuden distribuere AFFALD KBH to gange pr. kalenderår til alle husstande i Københavns Kommune. Den i pkt. II.1.5 og pkt. II.2.6 angivet værdi er anslået og dækker den samlede kontraktperiode inkl. eventuel udnyttelse option på forlængelse af kontrakten.
Personalised AI Summary
Unlock decision maker contacts.
Create a Free Account on Stotles
Stotles is your single source for government tenders, contracts, frameworks and much more. Sign up for free.
Explore similar pre-tenders, open or awarded contracts
Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.
Danmarks Tekniske Universitet - DTU
–
Published 2 years ago
Awarded
Levering af ydelserne annoncetegning, trykning, adressering og distribution af magasinet Vital.
Aarhus Kommune
6,945,280 DKK
Published 3 years ago
VisitDenmark
65,000,000 DKK
Published 4 years ago
Naturstyrelsen
–
Published 4 years ago
Styrelsen for International Rekruttering og Integration
4,447,012 DKK
Published 5 years ago
Folketinget
–
Published 5 years ago
Explore top buyers for public sector contracts
Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.
Sign up to the Stotles Tender Tracker for free
Find even more contracts with advanced search capability and AI powered relevance scoring.