Redskapspolitikk og beslutnings problemer for fiskeindustrien i Island Dr. Sveinn Margeirsson Value chain and processing Matis ohf, Iceland sveinn.margeirsson@matis.is
Overview The Icelandic situation Fishing gear Other gear The keywords 2
Matis Icelandic Food Research www.matis.is 3
What s on in Iceland? Economic crisis Contribution margin high Cost of financing higher Fisheries management debate Environmental labelling Counting on the seafood industry for value creation 4
The management system Ministry of fisheries and agriculture -Marine research institute -Directorate of fisheries -The food agency Ministry of transportation -Harbours Ministry of justice -The coast guard 5
Political situation: Free choice of gear within reason Sveinn Margeirsson Matís 2010 6
Area closures due to spawning + closures due to size restrictions Norður og Austursvæði 15. apríl til kl. 10:00 30. apríl 3. gr. A, B og C (380/2008) 5. gr. Undanþágur Norður og Austursvæði Skarkolasvæði 1. til 30. apríl 4. gr A,BogC 15. apríl til kl. 10:00 15. maí 3. gr. D (380/2008) Vestursvæði 1. apríl til og með 11. apríl 2. gr. 1.,2. og 3. mgr. Vestursvæði 12. apríl til kl. 10:00 21. apríl 2. gr. 4. mgr. (225/2007) Austursvæði 8. apríl til 16. apríl 1. gr. 1.,og 2. mgr. Austursvæði 17. apríl til kl. 10:00 28.apríl 1. gr. 3. mgr. (225/2007) Source: Fisheries directorate 7
The size of the fleet 8
Free choice of gear resulting figures 2008 60,0% 50,0% Source: Statistics Iceland 40,0% % catch % value 30,0% 20,0% 10,0% 0,0% Bottom longline Bottom gillnet Handline Danish seine Bottom trawl Pelagic trawl Purse seine 9
Discarding a problem? Source: The marine Research Institute: Pálsson et. al 2002-2010. 10
Export value distribution 1994-2009 Travelling Transportation Transport Large scale industry Large scale industry Seafood Seafood Ref: Statistics Iceland and Federation of Icelandic industries 11
Quantity vs value - Less is more? The case of cod Source: Ólafsson et.al., 2010 12
Is gear only fishing gear? Fillet yield (cod) 50 48 46 New processing. Value Chain Mgt. Traceability applications Better logistics Process optimizing Onboard handling improvements Employee training Proportion of high value products. Staff reduction 44 42 New filleting machines/beheading machines Individualized monitoring flow line Quota system Computerised production control 1985 1990 1995 2000 2005 Indicative figure-dates may be imprecise Year 2010 13
The value chain Catching Landing- Processing Marketing Inventory No chain is stronger than the weakest link 14
Value chain gear what fits best? Catching Landing- Processing Marketing Inventory Electronic log-books Raw material stock system Processing info system Market info system Catching area Quality of icing Fillet yield Orders Season Days from catch Total yield Price Species Temperature Defects Complaints Size of catch Inventory Product mix Logistics Fishing gear Storage gear Processing gear Info systems 15
Electronic Logbook and Reporting system - ERS Electronic log-books Raw material stock system Processing info system Market info system Hundreds of vessels already reporting electronically The captain enters the catch, by hauls or days depending on type of fisheries. Fishing gear data included Catch reports and detailed log of positions received by the Directorate of Fisheries and the Marine Research Institude Data compared to landing data by the Directorate of Fisheries Catch- and activity data made available to vessel owners 16
Fisheries Control Catch and Effort Reporting System Analysis of trails and catch Comparison of fishing areas 17
Visir hf: Catching ground and season comparison Sept05-Aug06 Cod: 8045t Haddock:4515t Bait: 1100t 39 million hooks Catch: 14,7 kg/kg bait 18
Landing Inventory Traceability gear Electronic log-books Raw material stock system Processing info system Market info system 19
Processing: such vast amount of information Electronic log-books Raw material stock system Processing info system Market info system 20
Application of traceability analysis of fillet yield 21
Value chain and cooling management Ambient air temparature. 20 15 10 Temperature [ C] 5 0-5 -10-15 -20 10.6.08 12:00 10.6.08 14:00 After processing, entering cold storage 11.6.08 01:35 Arrival at RVK 10.6.08 18:00 11.6.08 01:35-11:45 In storage over night in RVK 10.6.08 16:00 Loading truck Dalvík - RVK 11.6.08 00:00 11.6.08 06:00 11.6.08 11:45 Transportation from storage in RVK to KEF 11.6.08 14:00 Shipment received from ICE EXP CARGO in KEF 11.6.08 12:00 Time 11.6.08 18:00 11.6.08 16:45 Loading the airplane Pallet 1 top Pallet 1 side Pallet 2 top Pallet 2 side 12.6.08 00:00 Margeirsson, B., Arason, S., Valtýsdóttir, K.L. 2008. 11.6.08 22:15 Shipment arrives at Nottingham UK - processor receives shipment 12.6.08 06:10 Processor's storage 12.6.08 06:00 12.6.08 12:00 side 22 top
Decision Support - Optimization Main Variables Catching Amount of fish caught at fishing ground i at season j. Distribution of caught fish. Fish Processing Domestic market Export market Fish processing Product planning Electronic log-books Raw material stock system Processing info system Market info system 23
Keyword: Collaboration! Collaboration between research institutes, seafood industry, service industry and universities Multidisciplinary projects Tradition for M.Sc projects. Ph.D projects becoming common The industry sees benefits in collaborative research 24
Platforms for collaboration Environmental Decision Support Further automatisation of data collection. Increase the traceability granularity for further use of data Respond to demands from the seafood industry and markets Use data from the industry for more efficient fisheries management Cut cost of surveillance with more focused inspections 25
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