Stocktake Sale on now: wide range of books at up to 70% off!
Register      Login
Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Increasing platform speed and the percentage of cows completing a second rotation improves throughput in rotary dairies

J. P. Edwards A B C D , N. Lopez-Villalobos B and J. G. Jago A
+ Author Affiliations
- Author Affiliations

A DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand.

B Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11222, Palmerston North 4442, New Zealand.

C Present address: Teagasc Animal and Grassland Research and Innovation Centre, Moorepark, Fermoy, Co. Cork, Ireland.

D Corresponding author. Email: Paul.Edwards@dairynz.co.nz

Animal Production Science 52(10) 969-973 https://doi.org/10.1071/AN12071
Submitted: 26 February 2012  Accepted: 24 May 2012   Published: 16 July 2012

Abstract

This study sought to improve milking efficiency in rotary dairies by modelling the effect of increasing platform speed on the percentage of cows requiring multiple rotations to complete milking, i.e. ‘go-around’ cows, and cow throughput. Milking data, including 376 429 milking event records from 44 530 cows, were collected from 62 commercial farms with rotary dairies in New Zealand. Average rotation time, a function of platform speed and rotary size, was 10.0 ± 1.5 min, mean milking duration 383 ± 129 s, and mean milk yield 11.9 ± 3.8 kg per milking session. Milking duration data were normalised using a log10 transformation. An estimate of the percentage of ‘go-around’ cows and potential throughput over a range of platform speeds were made using the NORMDIST function of Microsoft Excel 2010. Results indicate that throughput continues to increase with increasing platform speed, despite a greater number of ‘go-around’ cows. If a potential shadow effect (whereby a ‘go-around’ cow may cause the following bail to be unoccupied) is considered, the optimum percentage of ‘go-around’ cows was ~20%. Accordingly, a change of operating practices in many rotary dairies is justified as the current target of 10% ‘go-around’ cows may limit throughput. In order to achieve greater cow throughput, platform speed should rather be set based on the capability of the operator attaching clusters. The difference between the current average rotation time and milking duration indicates that many dairies can increase platform speed and thus throughput. Furthermore, many work routines can be accelerated so faster platform speeds can be achieved without increasing labour requirements. The increased throughput potential of larger dairies is only realised when operated at fast platform speeds.


References

Armstrong DV, Quick AJ (1986) Time and motion to measure milking parlour performance. Journal of Dairy Science 69, 1169–1177.
Time and motion to measure milking parlour performance.Crossref | GoogleScholarGoogle Scholar |

Copeman PJA (1985) Achieving efficient throughput in rotary dairies. In ‘The challenge: efficient dairy production’. (Ed. TI Phillips) pp. 523–524. (Australian Society of Animal Production: Warragul, Vic.)

Cuthbert S (2008) ‘DairyNZ milking practices and technology use survey.’ (LIC: Hamilton, New Zealand)

DairyNZ, LIC (2011) New Zealand dairy statistics 2010–11. Available at http://www.dairynz.co.nz/file/fileid/39959 [Verified 20 May 2012]

Douphrate DI, Nonnenmann MW, Rosecrance JC (2009) Ergonomics in industrialized dairy operations. Journal of Agromedicine 14, 406–412.
Ergonomics in industrialized dairy operations.Crossref | GoogleScholarGoogle Scholar |

Douphrate DI, Fethke NB, Nonnenmann MW, Rosecrance JC, Reynolds SJ (2012) Full shift arm inclinometry among dairy parlor workers: a feasibility study in a challenging work environment. Applied Ergonomics 43, 604–613.
Full shift arm inclinometry among dairy parlor workers: a feasibility study in a challenging work environment.Crossref | GoogleScholarGoogle Scholar |

Nitzan R, Bruckental I, Bar Shira Z, Maltz E, Halachmi I (2006) Stochastic models for simulating parallel, rotary, and side-opening milking parlors. Journal of Dairy Science 89, 4462–4472.
Stochastic models for simulating parallel, rotary, and side-opening milking parlors.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28XhtFens73J&md5=b6929c07811be6ed1c1b1e4d0e2d9af1CAS |

O’Brien B, Gleeson D, O’Donovan K (2004) Labour expenditure on the milking process. International Dairy Topics 3, 9–10.

O’Brien B, Jago JG, Edwards JP, Lopez-Villalobos N, McCoy F (2012) Milking parlour size, pre-milking routine and stage of lactation affect efficiency of milking in single-operator herringbone parlours. Journal of Dairy Research 79, 216–223.
Milking parlour size, pre-milking routine and stage of lactation affect efficiency of milking in single-operator herringbone parlours.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC38XlvVGmsr0%3D&md5=d67a0e0f43b97538d62e89029fb0a2feCAS |

O’Donovan K, O’Brien B, Ruane DJ, Kinsella J, Gleeson D (2008) Labour input on Irish dairy farms and the effect of scale and seasonality. Journal of Farm Management 13, 327–342.

Phillips DSM (1987) Long-term change in yield response to pre-milking preparation. New Zealand Journal of Agricultural Research 30, 317–323.
Long-term change in yield response to pre-milking preparation.Crossref | GoogleScholarGoogle Scholar |

Stål M, Pinzke S, Hansson GÅ, Kolstrup C (2003) Highly repetitive work operations in a modern milking system. A case study of wrist postitions and movements in a rotary system. Annals of Agricultural and Environmental Medicine 10, 67–72.

Taylor G, van der Sande L, Douglas R (2009) Smarter not harder: improving labour productivity in the primary sector. Available at http://maxa.maf.govt.nz/sff/about-projects/search/05-028/technical-report.pdf [Verified 20 May 2012]