Integrated Harvest and Farm-to-Door Distribution Scheduling with Postharvest Quality Deterioration for Vegetable Online Retailing

Abstract

With the rise of vegetable online retailing in recent years, the fulfillment of vegetable online orders has been receiving more and more attention. This paper addresses an integrated optimization model for harvest and farm-to-door distribution scheduling for vegetable online retailing. Firstly, we capture the perishable property of vegetables, and model it as a quadratic postharvest quality deterioration function. Then, we incorporate the postharvest quality deterioration function into the integrated harvest and farm-to-door distribution scheduling and formulate it as a quadratic vehicle routing programming model with time windows. Next, we propose a genetic algorithm with adaptive operators (GAAO) to solve the model. Finally, we carry out numerical experiments to verify the performance of the proposed model and algorithm, and report the results of numerical experiments and sensitivity analyses.

Multi-Objective Optimal Design and Development of a Four-Bar Mechanism for Weed Control

“…The design baseline is a multi-objective optimal design, an area of mathematical optimization involving more than one objective function to be optimized simultaneously. The genetic algorithm (GA), as a highly popular evolutionary algorithm having well-tried records in agricultural engineering [29][30][31][32], is employed and hybridized with a goal attainment method in the synthesis of the first mechanism, whereas a quasi-Newton optimization method (QNM) is used for the second mechanism synthesis. The results from both optimal design methods are compared with each other and with those of other studies, and then the two mechanisms are simulated statically and dynamically to verify the results.…”

Integrated Optimization of Order Allocation and Last-Mile Multi-Temperature Joint Distribution for Fresh Agriproduct Community Retail

“…(3) A mixed genetic algorithm (MGA) is proposed to solve the joint optimization model, for which purpose MGA has better performance and efficiency than other solvers. The most relevant literature concerns the cold-chain logistics of fresh agriproduct [2], the path optimization of MTJD [3], the splitting and merging of orders [4], and warehousing and distribution integration [5,6]. In general, prior studies have looked at the actual influencing variables of the distribution process from various angles, to reduce the time requirements and cost of the e-commerce distribution process.…”