Scheduling operations for the harvesting of renewable resources

Foulds, L. R.; Wilson, John

doi:10.1016/j.jfoodeng.2003.12.009

Cited by 36 publications

(18 citation statements)

References 19 publications

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“…Recently, Foulds and Wilson (2005) proposed an operational scheduling method for harvesting rapeseed and hay fields. They found that the duration of operation depends upon the interaction and combination of constrained resources allocated to a job.…”

Section: Operational Schedulingmentioning

confidence: 99%

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Infield logistics planning for crop-harvesting operations

Ali

Verlinden

Oudheusden

2009

Engineering Optimization

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Section: Operational Schedulingmentioning

confidence: 99%

“…Gradually their focus shifted towards improving the harvest operations for cutting, threshing, and cleaning performed by combines. The recent interest is in improving the use of the harvest vehicles by efficiently planning the harvest process (Sørensen 2003, Foulds et al 2005.…”

Section: Introductionmentioning

confidence: 99%

Infield logistics planning for crop-harvesting operations

Ali

Verlinden

Oudheusden

2009

Engineering Optimization

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“…An attempt to address some of these issues by reporting on exact and approximate methods for crop harvesting at a single farm has recently been made by Foulds and Wilson (2005). The authors discuss the harvesting of farm crops from an operations research scheduling viewpoint.…”

Section: Forest Stand Harvesting Schedulingmentioning

confidence: 99%

“…However, as the authors of the present paper are unaware of any approaches available in the open literature that are directly relevant to the multi-farm problem under study, they believe that there is much scope for the development of project scheduling techniques that are effective for this scenario. The present paper represents an extension of the techniques developed in Foulds and Wilson (2005) to large-scale instances of the multi-farm case. A model of this scenario is now developed.…”

Section: Forest Stand Harvesting Schedulingmentioning

confidence: 99%

Scheduling contractors' farm‐to‐farm crop harvesting operations

Basnet

Foulds

Wilson³

2006

Int Trans Operational Res

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The harvesting of renewable resources from an operations scheduling viewpoint is introduced, and a harvesting scenario arising in the agricultural context involving a commercial contracting enterprise that travels from farm‐to‐farm harvesting crops is discussed. This paper is an extension of previous work by two of the authors from the one‐farm to the multi‐farm case. In both cases, the duration of each operation is dependent upon the combination of constrained resources allocated to it, equipment and worker allocation is restricted, and minimum or maximum time lags on the start and completion of operations may be imposed. The present case incorporates harvesting at more than one farm and thus the sequence in which the farms are visited and the inter‐farm travel times must be taken into account. We report on a harvesting scheduling model and solution procedures designed specifically for large‐scale versions of the multi‐farm case. The computational times experienced in solving general instances of the model of small‐to‐medium practical size by a commercial integer programming package are encouraging. Greedy and tabu search heuristics, which are capable of solving problems of relatively large dimensions in reasonable computational time are also included. The authors believe that the model and the solution techniques developed represent a useful addition to the farm crop contractor's tool kit.

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“…The harvest scheduling problem considered the contractor as similar to the resource constrained project scheduling problem. The scheduling problem for multi-farm harvesting was studied with the objective to minimize the total time of all the projects [10]. Each farm operations time is related to the distribution of agricultural machinery and workers.…”

Section: Introductionmentioning

confidence: 99%

The Optimal Scheduling Model for Agricultural Machinery Resources with Time-Window Constraints

Luo¹,

Zhang²

2016

Int. j. simul. model.

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Scheduling harvesting operations is very important for the agricultural machinery centres and the farmers in order to finish the harvesting work effectively. Most machinery owners schedule their farm machinery according to their own experiences, resulting in a big waste of agriculture resources. This paper attempts to schedule the use of agricultural machinery from the machinery resource centres under multi-farmland, multi-type situations considering time, spatial and weather factors as well as road factors in order to maximize efficiency of resource utilization. A modified fuzzy hybrid genetic algorithm is proposed to establish this scheduling model. An empirical study of an agricultural machinery association in Anhui province in China is illustrated and the results show that the models and the scheduling algorithm proposed in this study can improve the efficiency of utilization of the agricultural machinery resource centres and reduce the costs of agricultural machinery usage.

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Scheduling operations for the harvesting of renewable resources

Cited by 36 publications

References 19 publications

Infield logistics planning for crop-harvesting operations

Infield logistics planning for crop-harvesting operations

Scheduling contractors' farm‐to‐farm crop harvesting operations

The Optimal Scheduling Model for Agricultural Machinery Resources with Time-Window Constraints

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