Donor Tray Efficiency Optimization for Horticulture Order Fulfillment
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Solution Overview
Problem
Current systems for wholesale plant distribution face inefficiencies and waste due to the need for additional donor trays to ensure 100% order fulfillment, leading to operational inefficiencies, increased costs, and reduced greenhouse output.
Innovation Solution
Implementing high cell density donor trays with programmable plant growth systems and metrically controlled processes for optimized transplanting, storage, and replacement timing, utilizing automation and AI to minimize waste and maximize production efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate donor tray is planted each week to meet 100% order fulfillment, then order fulfillment reliability is improved, but plant waste and operational inefficiency increase
Solution Approach 1:
The patent merges the donor tray system with the customer tray system by allowing donor plants to be transplanted into customer trays when needed, rather than maintaining completely separate trays. This integration reduces the number of separate donor trays needed and minimizes plant waste by utilizing donor plants across multiple customer orders.
Solution Approach 2:
The patent recovers and reuses donor plants that would otherwise be discarded. By implementing a system where donor plants are transferred to customer trays based on order requirements, the system recovers value from plants that would normally be wasted, thereby reducing overall plant waste while maintaining order fulfillment reliability.
2Productivity
If high cell density donor trays are used, then production efficiency is improved, but transplanting complexity increases
Solution Approach 1:
The patent segments the transplanting process into standardized steps that can be efficiently executed with automated equipment. By dividing the complex task of transplanting from high-density donor trays into discrete, repeatable operations, the system manages complexity while maintaining high productivity benefits.
Solution Approach 2:
The patent replaces manual transplanting operations with automated plant punch machine equipment. This mechanical substitution handles the complexity of working with high cell density trays through automation, allowing the system to achieve high production efficiency without proportionally increasing operational complexity for human workers.
3Duration of action of stationary object
If donor plants are stored in cold storage to extend usability, then donor tray utilization is improved, but storage requirements and operational complexity increase
Solution Approach 1:
The patent implements preliminary cold storage of donor plants to extend their usability period before transplanting. By pre-cooling and preserving donor plants, the system extends the time window for effective utilization, allowing better planning and reduced waste without requiring complex real-time management systems.
4Productivity
If automated plant punch machine transplanting is used, then labor efficiency is improved, but initial equipment cost and system complexity increase
Solution Approach 1:
The patent replaces manual labor with automated plant punch machine equipment for transplanting operations. This mechanical substitution significantly improves transplanting efficiency and productivity by handling high cell density trays and precise plant placement automatically, justifying the increased equipment complexity through substantial labor efficiency gains.
Data Source
AI summary
Automated, metrically controlled methods and systems of cultivating plants to maximize customer order fulfillment can dynamically take into consideration growing conditions and environments of transplant propagules, plants, and seedlings and even changeable order requirements. Through an appropriately configured programmable plant growth configured computer system, computer logic determined optimization of transplanting times, growth conditions, planting needs, and transplant propagule quantities, among other aspects, may be met more efficiently, with less waste at closer to one hundred percent. Programmable plant growth configured computer systems may be configured with a multi-cycle replacement tray maximization metric programs, and/or a multi growth stage parameterized metrics to achieve processes that are mare than just automated, but are fundamentally more than and different from previous systems. Automatic metric controls can simultaneously and differentially control donor tray growth environments apart from customer tray environments as automatically provided for by a program implemented to utilize multi-cycle replacement tray or multi growth stage parameterized metrics to sequence and achieve outcomes not previously available. Optimization of transplanting to customer plant trays and use and disposal of donor trays may optimize the economics by reducing waste through new processes that are fundamentally different and dynamically adaptable in real time from those manually conducted. Through transplanting optimization customer yields and producer efficiencies may be maximized.