|
|
|
|
| LEADER |
01000caa a22002652 4500 |
| 001 |
NLM297279866 |
| 003 |
DE-627 |
| 005 |
20250225084514.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231225s2019 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1016/j.wasman.2019.02.017
|2 doi
|
| 028 |
5 |
2 |
|a pubmed25n0990.xml
|
| 035 |
|
|
|a (DE-627)NLM297279866
|
| 035 |
|
|
|a (NLM)31109539
|
| 035 |
|
|
|a (PII)S0956-053X(19)30088-1
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Jagtap, S
|e verfasserin
|4 aut
|
| 245 |
1 |
4 |
|a The digitisation of food manufacturing to reduce waste - Case study of a ready meal factory
|
| 264 |
|
1 |
|c 2019
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 12.09.2019
|
| 500 |
|
|
|a Date Revised 12.09.2019
|
| 500 |
|
|
|a published: Print-Electronic
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a Crown Copyright © 2019. Published by Elsevier Ltd. All rights reserved.
|
| 520 |
|
|
|a Generation of food waste (FW) continues to be a global challenge and high on the political agenda. One of the main reasons for its generation is the absence of detailed data on the amount, timing and reasons for created waste. This paper discusses the design, the application and investigates the Internet of Things (IoT) based FW monitoring system to capture waste data during manufacturing in real-time and make it available to all the stakeholders in a food supply chain (FSC). A case study of ready-meal factory comprises of design and architecture for tracking FW including both hardware and software, its implementation in the factory and the positive data-driven results achieved. The case study demonstrates the benefits of digital FW tracking system including the FW reduction of 60.7%, better real-time visibility of the FW hotspots, reasons for waste generations, reliable data, operational improvements and employee behavioural transformation. Although the system replaced the paper-based manual system of tracking FW in the factory, it still needed human input to confirm the waste and was prone to human errors. Overall, the implementation of an IoT-based FW tracking system resulted in a reduction of FW and created a positive environmental and financial impact
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Digitisation
|
| 650 |
|
4 |
|a Food supply chain
|
| 650 |
|
4 |
|a Food waste
|
| 650 |
|
4 |
|a Internet of things
|
| 700 |
1 |
|
|a Rahimifard, S
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t Waste management (New York, N.Y.)
|d 1999
|g 87(2019) vom: 15. März, Seite 387-397
|w (DE-627)NLM098197061
|x 1879-2456
|7 nnns
|
| 773 |
1 |
8 |
|g volume:87
|g year:2019
|g day:15
|g month:03
|g pages:387-397
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1016/j.wasman.2019.02.017
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 87
|j 2019
|b 15
|c 03
|h 387-397
|