A model for analysing a disrupted supply chain's time-to-recovery under uncertainty

Lee, A. J. L.; Paul, Debdeep; Yan, Wenjing; Zhang, Allan N.; Goh, Mark

doi:10.1109/bigdata.2017.8258306

Cited by 2 publications

(1 citation statement)

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“…Robust and stochastic optimization methods may be applied to cope with sources of uncertainty in the scheduling of harvesting operations [27]. Hence, models may include robustness criteria on the supply chain, such as the time-to-recovery [28] and time-to-survive, in order to create a supply chain that is less susceptible to disruptions. The proposed mathematical model demonstrated effectiveness and enabled the differentiation of the components of the total cost, so that the work sequence of the cutting fronts and the costs involved in each part of the harvest and the transport of products could be understood.…”

Section: Discussionmentioning

confidence: 99%

A Mathematical Model for the Integrated Optimization of Harvest and Transport Scheduling of Forest Products

Santos

Silva

Arce

et al. 2019

Forests

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The costs related to forest harvesting and wood transport are key to the economic viability of forest investments. These operations compose a major share of the total cost of wood production and thus need to be conducted in an efficient manner. In this paper, we propose a novel optimization model to tackle this issue and perform the daily and weekly plan of harvesting operations, in order to minimize the costs related to the machinery operation, movement, and wood transportation, subject to demand constraints. Our results show that transportation costs dominate the total cost of these operations. The model proposed is appropriate and can be effectively applied to optimize the operational planning of harvesting activities. Nevertheless, instances with a large number of stands may lead to a substantial increase in the complexity and computational burden. We conclude that operations research techniques can provide a solid basis for decision-making in harvest scheduling problems and increase the efficiency of forest management.

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Section: Discussionmentioning

confidence: 99%