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Challenges in implementation of a distributed and localised approach to food manufacturing
journal contributionposted on 2018-02-08, 16:21 authored by Pedro Gimenez-Escalante, Shahin RahimifardShahin Rahimifard
Existing large-scale centralised food production practices are often unsustainable due to requirements for significant transportation of both raw materials and finished products. These approaches also require substantial concentrated demands on energy and water. In addition, increasing amounts of food waste are being generated worldwide by manufacturers and retailers due to their dependence on unreliable demand forecasting methods as part of centralised production practices. Regulatory pressures and policy requirements as well as consumer demands for increased variety, improved traceability and healthy diets are forcing manufacturers and retailers to reconsider their ingredient sourcing, production, storage and distribution strategies. ‘Distributed and Localised Manufacturing’ (DLM) aims to provide the food sector with capabilities to improve the efficiency of production systems, to optimise logistics operations across supply chains and to extend the shelf life of products. However, to achieve these potential benefits, the implementation of DLM will involve a number of challenges which need to be carefully considered and addressed. This paper explores these challenges and describes four specific implementation models to aid with the development of innovative and appropriate DLM structures for various food products.
- Mechanical, Electrical and Manufacturing Engineering
Published inFood Studies: An Interdisciplinary Journal
CitationGIMENEZ-ESCALANTE, P. and RAHIMIFARD, S., 2018. Challenges in implementation of a distributed and localised approach to food manufacturing. Food Studies, 8 (3), pp.1-14.
PublisherCommon Ground Research Networks © Common Ground Research Networks, The Authors
- VoR (Version of Record)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis is an Open Access Article. It is published by Common Ground Research Networks under the Creative Commons Attribution NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/