Fairtrasa implements “lean production” and digitization tools for its operations with family farming in Peru
Lean Manufacturing (LM) has spread to every continent and business since Wornak, Jones and Roos published a book called âThe Machine That Changed the Worldâ in the 1990s. ‘is also extended to the agro-industry, not only to optimize the improvement of the machines but also in the planning of the works, the control of all the stages of production, the deadlines, the tasks, the costs, etc.
Fairtrasa Peru is being restructured under its new administration. âOur commitment to the sustainability of smallholder agriculture drives us to seek more efficient methods of our operations in order to achieve greater benefits using fewer resources,â said Yesy Lalupu Valladolid, director of the company. âThis restructuring is centered on management by key performance indicators (KPIs) and greater investment in innovation. To achieve this, we had co-funding from PROINNOVATE to implement the lean production work philosophy project.
âThe implementation of LM in Fairtrasa started with the Value Stream Mapping (VSM) tool, which involves identifying and eliminating activities that do not add value and establishing KPIs that ensure continuous improvement (Kaisen ). To do this, we had to digitize the field, harvest and post-harvest processes, so we hired AGOTEC to use its platform and mobile application to collect, systematize and analyze data for traceability, quality control on the field and at the destination. We have also implemented other tools, such as Jidoka, JIT, Kambas, Hoshin Kanri, 5S, Poke Yoke, Andon and Smed. “
âEvaluating the value chain using metrics and VSM allows us to focus on economic costs and revenues for the business as well as social and environmental aspects. That is why we have decided to include our suppliers, the farmers, in this process. We want to help them improve the quality of their crops by reducing rejections with adequate quality monitoring in the field and an efficient use of resources while allowing our customers abroad to visualize the different links of the supply chain. . “
“The project has enabled us to save time and reduce waste of resources by up to 15%, digitize 90% of quality and traceability formats, and – most importantly – it will allow us to rely on big data for advance in the development of predictive models, “said the director.
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