Achieving scale strategically : understanding freight flows in regional food supply chains.

Nelson, David; Miller, Michelle; Morales, Alfonso; Zeitlow, Ben · 2013 · ROSA P / National Center for Freight and Infrastructure Research and Education (U.S.)

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Summary

This report, produced by the National Center for Freight and Infrastructure Research and Education (CFIRE) at the University of Wisconsin–Madison, investigates strategies for small- and medium-scale farmers to efficiently scale up their operations within regional food supply chains in the Upper Midwest. The research is motivated by the growing consumer interest in sustainable, local food systems and the logistical challenges small producers face when transitioning from direct marketing (e.g., farmers' markets) to intermediated distribution channels. The study aims to identify how freight infrastructure and distribution methods can be optimized to enhance economic, social, and environmental performance while maintaining the value propositions of local food, such as traceability and producer identity. The methodology combines a literature review, analysis of existing cost-assessment tools, and qualitative case studies of specific agricultural businesses in the Circle City region, including Ecker’s Apple Farm, Grass Run Farms, and Potato King. The research also employs hotspot analysis using data from the Food Systems Profile project to map the density of farms, processors, and freight infrastructure in the Driftless area. This spatial analysis helps identify regional patterns of agricultural activity and potential economic development opportunities. The study distinguishes between Phase I findings, which established baseline logistical needs, and Phase II research, which focused on reducing barriers to scaling up, such as cost uncertainty and the loss of direct consumer relationships. Key findings indicate that small-to-medium farms rely almost exclusively on farm vehicles or truck freight services, with rail freight remaining irrelevant for wholesale local food due to scale constraints. The report highlights that farmers often struggle to accurately calculate the costs of self-distribution versus hiring outside haulers, leading to suboptimal business decisions. Existing tools, such as the Oklahoma Farm to School Distribution Cost Template and Veggie Compass, are reviewed for their ability to help farmers assess these costs, though limitations in tracking comprehensive marketing expenses remain. Furthermore, the study identifies traceability technology, particularly Quick Response (QR) codes and Radio Frequency Identification (RFID), as critical tools for maintaining product quality, ensuring food safety, and preserving the "farm story" in longer supply chains. These technologies allow consumers to access detailed product information, thereby sustaining the personal connection typically lost in intermediated distribution. The significance of this work lies in its practical guidance for enhancing the resilience and efficiency of regional food systems. By providing frameworks for cost analysis and highlighting the role of technology in supply chain communication, the report offers actionable strategies for producers seeking to expand their market reach without sacrificing profitability or brand identity. The hotspot analysis further supports regional planning by identifying clusters of production and distribution, suggesting that collaborative solutions, such as emerging food hubs, can help small producers achieve economies of scale. Ultimately, the research underscores that successful scaling requires not just logistical efficiency, but also strategic use of technology to maintain consumer trust and product differentiation in a competitive market.

Key finding

Small-scale farmers frequently lack accurate cost data for self-distribution, which hinders their ability to make informed decisions about entering intermediated supply chains, while traceability technologies like QR codes offer a means to maintain producer identity and consumer connection in longer supply chains.

Methodology

other

Provenance

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Topics

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• truck driver fatigue