Continuous time scheduling for sugarcane harvest logistics in Louisiana

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

“…Ceccarelli et al [31] discussed the relationship between the harvest maturity stage and cold storage time. For distribution optimization, Lamsal et al [8] studied the agri-product optimal distribution scheduling from farm to warehouse. Ahumada and Villalobos [32] established an operational model for the distribution of fresh agri-products to maximize the profits of farmers.…”

“…The most relevant literature is that regarding perishable products harvest or distribution problems [4], vegetable harvest planning [5][6][7], the inventory and distribution of agricultural products [8,9], delivery fleet size and truck routes [10], and the spatial and temporal model of the agricultural supply chain [11]. Generally, these previous studies have offered various decision tools to reduce the distribution cost and time of perishable products from different viewpoints, while the literature has seldom addressed the integrated optimization of vegetable harvest and farm-to-door distribution to minimize postharvest quality deterioration within an online retailing context.…”

Integrated Harvest and Distribution Scheduling with Time Windows of Perishable Agri-Products in One-Belt and One-Road Context

“…Constraint (15) was a constraint of vehicle quantity. Constraint (16) defined the relationship between the starting harvest time and the ending harvest time for vehicle k. Constraints (17) and (18) denoted the relationship between finishing harvest time, starting distribution time, and arriving time at consumer i. Constraint (19) limited the time of vehicle k arriving at consumer i. Note that, constraint (19) can eliminate the case of subtours because,…”

“…Higgins et al [16] pointed out that optimization on harvest date could increase sugars' productivity and profitability. Lamsal et al [17] addressed the integrated sugarcane harvest and delivery scheduling problem. Caixeta-Filho [18] studied the optimal orange harvest time.…”

“…The quality decay rate was 0.5 unit/h. The time window of harvest location was [8:00, 17:00] (For simplicity without generality, 8 : 00 was assumed as 0, and 17:00 was assumed as 9 during the calculation in the example.). Table 1 gives the delivery time between each node located in different geographical locations, in which M denotes an infinite number, which refers to the node pair not being linked geographically.…”