Decision Algorithm for Optimal Agricultural Production Allocation

I am looking to develop a decision-support algorithm that identifies and ranks the best production options across locations, varieties and time windows, based on a large set of variables. The model should evaluate each option using economic factors (costs, prices, margins), agronomic performance (yield, quality, timing reliability), logistics (distance to market, transit time, reliability), and risk (climate, water, regulatory, operational). The algorithm must first eliminate non-viable options using hard constraints (e.g. feasibility, minimum thresholds), and then score and rank the remaining options using a weighted, configurable logic that produces a single comparable score per option. The goal is not pure prediction, but a transparent and scalable optimization engine that supports better production and allocation decisions. The solution should be well-structured, explainable, and flexible enough to adapt to different assumptions, weights and scenarios.