---
title: "Robotic Pick and Place System - AWARD"
ocid: "ocds-b5fd17-8ce1b988-d09e-4a9c-a6cd-20e643f58818"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-8ce1b988-d09e-4a9c-a6cd-20e643f58818"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-8ce1b988-d09e-4a9c-a6cd-20e643f58818.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-8ce1b988-d09e-4a9c-a6cd-20e643f58818.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "THE UNIVERSITY OF NOTTINGHAM"
published: "2020-11-16"
---

# Robotic Pick and Place System - AWARD

Buyer: THE UNIVERSITY OF NOTTINGHAM  
Current stage: Award  
OCID: ocds-b5fd17-8ce1b988-d09e-4a9c-a6cd-20e643f58818

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## Summary

The University of Nottingham recently completed the procurement process for a contract titled "Robotic Pick and Place System - AWARD". This project falls under the goods category, specifically dealing with industrial robots, and was located in the East Midlands, United Kingdom. The procurement method used was an open procedure, with the tender period concluding on 30 October 2020. The contract, valued at £60,000, will be in effect from 18 November 2020 to 17 November 2021.

This tender presents a significant opportunity for businesses in the robotics and automation sectors, especially those specialising in the design and manufacture of industrial robots. Companies able to provide advanced robotic solutions for handling and logistics would find this project particularly relevant. The competitive nature of the procurement process allows for growth prospects for firms looking to expand into innovative technology solutions, thereby positioning themselves favourably in the marketplace.

## Notice

A robotic handling system that will pick and place parts from one process to another.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/efaa3186-1c82-42ec-804b-480587d1d732 |
| Notice type | Award Notice |
| Procurement type | Standard |
| Procurement category | Goods |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | Not specified |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 16 Nov 2020 |
| Submission deadline | 30 Oct 2020 |
| Future notice date | Not specified |
| Award date | 16 Nov 2020 |
| Contract period | 18 Nov 2020 - 17 Nov 2021 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £60,000 |
| Lots value | Not specified |
| Awards value | £38,022 |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Not specified |
| Awards status | Active |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | THE UNIVERSITY OF NOTTINGHAM |
| Locality | NOTTINGHAMSHIRE |
| Post town | Nottingham |
| Postcode | NG7 2RN |
| Country | England |
| ITL 1 | TLF East Midlands (England) |
| ITL 2 | TLF1 Derbyshire and Nottinghamshire |
| ITL 3 | TLF14 Nottingham |
| Local authority | Nottingham |
| Electoral ward | Radford |
| Westminster constituency | Nottingham South |
| Delivery location | TLF East Midlands (England) |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | ABB ROBOTICS |

## CPV Codes

### Divisions

- 42 - Industrial machinery

### Codes

- 42997300 - Industrial robots

## Release History

- 16 Nov 2020 at 14:38 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/efaa3186-1c82-42ec-804b-480587d1d732

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/efaa3186-1c82-42ec-804b-480587d1d732
  16th November 2020 - Awarded contract notice on Contracts Finder

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-8ce1b988-d09e-4a9c-a6cd-20e643f58818. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-8ce1b988-d09e-4a9c-a6cd-20e643f58818.json.