European Pork Production

Transcription

1 QUARISMA Workshop Chain quality management in European pork a triangle of quality, information and governance Detert Brinkmann FoodNetCenter Bonn University of Bonn Bonn, 28. Sept European Pork Production Food Standards in the EU Regional Distribution (Eurostat 10) A market without barriers pigs and pork are carried to the demand International standards: IFS (International Food Standard) BRC (British Consortium) National quality systems/programs: IKBs (The Netherlands) QS (Germany) QSG (Denmark) Certus (Belgium) Label rouge (France) Agro 3 Standard (Greece) Many different quality systems based on ISO 9000, ISO 200 and the HAC-concept (Gellynck, Kühne 07) 3 Hypothesis The pork market will be dominated by dynamic and robust pork value chains, that have a clear chain-wide quality management strategy 3 competitive forces (acc. to M.E. Porter*): Cost leadership Differentation Focus Agenda 1. Introduction 2. Material and methods 3. Model for chain quality management. Challenges 5. Summary *Harvard Business School, Institute for Strategy and Competitiveness 5 6 1

2 Introduction The Triangle Integration of preventive chain QM methods Management Management Model for Chain-QM Governance Structures Introduction Chain quality management Is influenced by extrinsic and intrinsic factors Factors are determined by requirements of: customer and consumer societal and legal economic and ecologic Chain information systems Connective governance structures for chain-wide QM 7 Goal: high product and process quality in a sustainable environment 8 Material and Methods Inventory of pork in selected countries: CN, GR, HU, NL, ES, SAF, D SWOT-Analysis Requirements of consumer Return on investment Animal health management In-depth Case studies of selected European pork chains (EU FP6 Q-PorkChains ) Processing Social responsibility Sustainable Own studies in the field of QM, IM and governance Abattoir 9 10 A high number of stakeholder on farm-level A high number of product types on processing level (Spread of product quality) Distribution of stakeholders and products of a pork chain rel. frequency (%) rel. frequency (%) (in %, German data) Sow keeper Stakeholder Abattoir Processing er Product types Pork chain very 10 high 8 6 medium 2 very0 low Mulitplying Intensity of quality management in a typical pork chain Lack of QM 0 Sow keeper based on: Pork chain DESTATIS 10, DBV 09, Bahlmann&Spiller 08, own calculation Abattoir Processing er 11 Intensity = Sum of QM measures x frequency of performance to realize a product 12 2

3 Model for chain quality management Model for chain quality management Public authorities standards Certifying bodies Public authorities standards Certifying bodies Operational level Operational level Farming Farming networks Petersen et al. (07), Bahlmann&Spiller (09), Dubs et al. (09) Petersen et al. (07), Bahlmann&Spiller (09), Dubs et al. (09), Trienekens et al. (09) NetChain on farm-level Challenges of chain quality management Producer Livestock trader and 1. Supplier involvement Network Coordination Chain 2. Integrating preventive QM methods 3. Indicator based Chain-QM Slaughter Networks modified, acc. to Lazzarini et al., Supplier Legend: Supplier involvement Process model with product and information flows Input Forward Backward Producer Process controls Analysis Output Forward Backward Customer Integrating preventive QM methods Main components: Interdisciplinary teams tools: control Statistical evaluation and prediction Risk analysis PDCA-Cycle (Plan-Do-Check-Act): to initiate continuous improvement processes Product flow flow =Control point modified, acc. to Petersen et al. 1985, Mack et al

4 Preventive QM Methods Chain Management System Cs KPIs Cs KPIs Cs KPIs Cs KPIs (GMP+, ISO 9001, 200, HAC) Indicator based Chain-QM Connective governance structures s (GHP, HACoriented) (ISO 200, HAC) (ISO 9001, HAC) An example for indicator based QM Study: Effect of PCV-2 vaccination of piglets on the finishing and slaughter performance Partner: Erzeugergemeinschaft Osnabrück, Boehringer Ingelheim Vetmedica GmbH Material & Methods: 6 farms produced finishers Balance between non vaccinated / vaccinated (50/50) Period of observation: up to 36 months Defined KPIs Evaluation method: SPC (Statistical Process Control) Network coordinator Vaccination Performance measurement C=Critical Control Point (HAC) KPI=Key Performance Indicator 19 Results of the study KPI evaluation Summarizing the triangle KPI Prior Value Change (abs.) Change (%) Losses (%) 3, -1,5 -,1 Daily gain (g/d) 72 29,1 3,9 : management systems should be more connected along the pork chain (e.g. linking stage-specific HAC concepts) conv. rate (kg / 1 kg growth) 3,05-0,11-3,6 period (d) 121,6 -, -3,6 KPI Slaughter Prior Value Change (abs.) Change (%) : Indicator-based QM allows to measure and to disclose the influence of QM measures on each following stage of the pork chain (quality forward and backward information) thickness (mm) 62,2-0,8-1,3 Fat thickness (mm) 17,0 0,1 0,6 Lean meat (%) 56,0-0,3-0,5 Conformity of lean meat (%) 7,7 1,5 3,1 Findings (%) 9,7-1,8-18,6 21 Governance: Chain QM teams should be build up in an interdisciplinary way to facilitate the chain coordination A stronger collaboration of farmers and meat producer helps to better evaluate the success/failure of preventive QM measures (e.g. vaccinations) 22 Network coordination on the farming stage Public authorities standards Certifying bodies Thank you! Network coordinator Operational level 23 Petersen et al. (07), Bahlmann&Spiller (09), Dubs et al. (09), Trienekens et al. (09)

5 Results KPI evaluation Change (in %) Change (in %) period -3,6 Findings -1,8 ConvRate -3,6 Conformity of lean meat 1,5 Daily gain +3,9 Lean meat -0,3 Losses -1,5 Fat thickness 0,6 thickness -1,3 positive influence negative influence 25 5