Project deliverable Open Access

# Report on the integrated event-driven framework for data collection

Maitri Thakur; Shraddha Mehta; Ivan Sjøberg; Gudrun Ólafsdóttir; Ulf Erikson; Ivan Duric; Lukas Cechura; Tinoush Jamali; Antonella Samoggia

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{
"description": "<p>SUMMARY</p>\n\n<p>This report Del.4.1 <em>Report on integrated event-driven framework for data collection</em> is a deliverable for Task 4.2 and presents the event-driven methodology framework for process mapping and data collection for case studies. In this report, the salmon case study is used to demonstrate the methodology and model the different stages of salmon value chain in Norway. The technique presented in this document can be used to integrate key value chain indicators such as the product, process and sustainability data. This report also identifies the decisions made at different levels such as company, sector, national, EU to regulate the food value chain and optimise the production. The applications of the EPC model is further described in this report and specific examples on how the data availability and gaps can be identified are provided.</p>\n\n<p><strong>GOALS</strong></p>\n\n<p>The goal of this deliverable is to present the methodology of Event-based process chain to understand the functioning of the selected case studies in the VALUMICS project and to identify the factors that affect decisions in the value chain. This report also aims to provide a framework for collection of data required in the various tasks in work package 2, 4 and 5.&nbsp;</p>\n\n<p><strong>METHODS</strong></p>\n\n<p>The modelling technique Event-based process chain has been applied in this report to develop a model for salmon value chain. Development of the model for different stages of salmon production is based on secondary data and semi structured interviews with the industry. The application of EPC in data collection process and modelling work in other work packages in VALUMICS has been collaboratively defined by some work package leaders and task leaders in the project. Several bilateral meetings were arranged with the partners to facilitate this process.</p>\n\n<p><strong>MAIN OUTCOMES</strong></p>\n\n<p>EPC models for the salmon value chain for all stages including feed production, juvenile production, grow-out/farming, processing and distribution.</p>\n\n<p>Outline of most important factors that influence the decision of value chain actors.</p>\n\n<p>A framework for identifying data availability, gaps and requirements for the tasks in other work packages in the project.</p>\n\n<p><strong>NEXT STEPS</strong></p>\n\n<p>By using the EPC models for salmon value chain as an example, similar models will be developed for the other case studies selected in the VALUMICS project. It is expected that each case study will be different in nature and hence the EPC models for all case studies will have variations depending on the information available to model, production method and data needs.</p>\n\n<p><strong>INTRODUCTION</strong></p>\n\n<p>The VALUMICS project is based on a holistic systematic approach. A system dynamics methodology is implemented as a key driver of the overall project work. The project structure is highly integrated and trans-disciplinary drawing on the expertise of internal and external stakeholders. Case studies on different food chains are an integral part of the VALUMICS project.</p>\n\n<p>WP4 on food system case studies groundwork focuses on prioritisation of the selected food system groups and case studies to be worked on, and defining a set of primary and secondary data for a series of food system chains needed for the causality analysis identified in WP2, and use the data sources to provide design parameters for the quantitative model to be developed and coded in WP7. The approach involves mapping of the value-, supply- and decision chains for each case study and data collection related to specific parts of the chain.</p>\n\n<p>This document is a deliverable for Task 4.2 and presents the event-driven methodology framework for process mapping and data collection. The salmon case study is used to demonstrate the methodology. The event-based technique presented in this document can be used to integrate key value chain indicators such as the product, process and sustainability data. Each key indicator can be linked to a specific supply chain resource and event (e.g. raw material acquisition, processing, transport, storage, distribution, etc.).</p>\n\n<p>This report also presents a detailed process map of the salmon supply chain which is a good starting point to understand the functioning of the chain and indicate the external factors like regulations, environmental factors, trade tarrifs and market that influence the value chain.</p>",
"creator": [
{
"affiliation": "SINTEF",
"@type": "Person",
"name": "Maitri Thakur"
},
{
"affiliation": "SINTEF",
"@type": "Person",
},
{
"affiliation": "SINTEF",
"@type": "Person",
"name": "Ivan Sj\u00f8berg"
},
{
"affiliation": "UoI",
"@type": "Person",
"name": "Gudrun \u00d3lafsd\u00f3ttir"
},
{
"affiliation": "SINTEF",
"@type": "Person",
"name": "Ulf Erikson"
},
{
"affiliation": "IAMO",
"@type": "Person",
"name": "Ivan Duric"
},
{
"affiliation": "CZU",
"@type": "Person",
"name": "Lukas Cechura"
},
{
"affiliation": "IAMO",
"@type": "Person",
"name": "Tinoush Jamali"
},
{
"affiliation": "UNIBO",
"@type": "Person",
"name": "Antonella Samoggia"
}
],
"url": "https://zenodo.org/record/5105767",
"datePublished": "2018-11-26",
"keywords": [
"methodology",
"food production",
"EPC model",
"CLD"
],
"@context": "https://schema.org/",
"identifier": "https://doi.org/10.5281/zenodo.5105767",
"@id": "https://doi.org/10.5281/zenodo.5105767",
"@type": "CreativeWork",
"name": "Report on the integrated event-driven framework for data collection"
}
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