scholarly journals Field Sampling Scheme Optimization Using Simulated Annealing

10.5772/10032 ◽  
2010 ◽  
Author(s):  
Pravesh Debba
Keyword(s):  
Simulated Annealing ◽  
Sampling Scheme ◽  
Field Sampling ◽  
Scheme Optimization

scholarly journals Sampling scheme optimization for diffuse optical tomography based on data and image space rankings

2016 ◽  
Vol 21 (10) ◽  
pp. 106004 ◽  
Author(s):  
Sohail Sabir ◽  
Changhwan Kim ◽  
Sanghoon Cho ◽  
Duchang Heo ◽  
Kee Hyun Kim ◽  
...  
Keyword(s):  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Image Space ◽  
Sampling Scheme ◽  
Scheme Optimization

Sampling scheme optimization to map soil depth to petrocalcic horizon at field scale

Geoderma ◽  
2017 ◽  
Vol 290 ◽  
pp. 75-82 ◽  
Author(s):  
Marisa Beatriz Domenech ◽  
Mauricio Castro-Franco ◽  
José Luis Costa ◽  
Nilda Mabel Amiotti
Keyword(s):  
Soil Depth ◽  
Sampling Scheme ◽  
Field Scale ◽  
Scheme Optimization

Soil Spatial Variability in contaminated sites: field sampling procedure in Italy

2021 ◽  
Author(s):  
Piero Manna ◽  
Giuliano Langella ◽  
Simona Vingiani ◽  
Fabio Terribile
Keyword(s):  
Spatial Variability ◽  
Soil Properties ◽  
Soil Sampling ◽  
Sampling Scheme ◽  
Contaminated Sites ◽  
Contaminated Site ◽  
Field Sampling ◽  
Sampling Points ◽  
Location Type ◽  
Soil Spatial Variability

<p>Assessment of soil spatial variability is a debated crucial matter in the context of agriculture and environmental management, such as precision agriculture, land erosion and contaminated sites. In rural and industrial areas, the natural complex spatial variability of soil properties (mainly due to changing pedogenetic factors) is further complicated by anthropogenic activities related to soil management (such as deep plowing, sloping vineyards, etc.) or land contamination. Above all, natural and anthropogenic processes considerably overlap in industrial sites or areas affected by illegal waste dumping, where several times type/quantity and especially localization of contaminants are unknown. Proper investigation tools, as much as possible providing rapid, unexpensive and reliable data on soil properties and characteristics, are increasingly requested to scientific community for both the assessment of contamination geography and the soil sampling strategies. Then, focusing on soil sampling of contaminated sites in Europe, the procedure is currently performed according to national regulations, in terms of number, location, type and depth of sampling points.  The Italian regulation (Decree 471/99 - Annex 2) provides a sampling scheme in which the number of observations is commensurated to the geographical extent of the contaminated site. However, data obtained by some Italian surveyed sites, in which a denser sampling scheme was applied, evidenced that observations planned by the regulation were too low and unexpected “hot spots” were not adequately identified. For sure, contamination can frequently follow a very complex site-specific geospatial distribution. Hence, since number, location, type and depth of sampling points has very strong consequences in terms of public safety and costs of characterisation and remediation of contaminated sites, it is a key issue to set up the best strategies for ameliorating field sampling to achieve a proper understanding of the geospatial distribution of soil contamination.</p>

CD and OCD sampling scheme optimization for HVM environment

2019 ◽  
Author(s):  
Chanha Park ◽  
Hongoo Lee ◽  
Dongyoung Lee ◽  
Ahlin Choi ◽  
Stefan Buhl ◽  
...  
Keyword(s):  
Sampling Scheme ◽  
Scheme Optimization

Penjadwalan Produksi Menggunakan Metode Simulated Annealing pada Unit Produksi Daun Pintu di PT. ML

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Rosnani Ginting ◽  
Chairul Rahmadsyah Manik
Keyword(s):  
Simulated Annealing ◽  
Problem Solving ◽  
Production Scheduling ◽  
Production Control ◽  
Delivery Time ◽  
Production Schedule ◽  
A Company ◽  
Predetermined Time ◽  
Factory Floor

Penjadwalan merupakan aspek yang sangat penting karena didalamnya terdapat elemen perencanaan dan pengendalian produksi bagi suatu perusahaan yang dapat mengirim barang sesuai dengan waktu yang telah ditentukan, untuk memperoleh waktu total penyelesaian yang minimum. Masalah utama yang dihadapi oleh PT. ML adalah keterlambatan penyelesaian order yang mempengaruhi delivery time ke tangan costumer karena pelaksanaan penjadwalan produksi dilantai pabrik belum menghasilkan makespan yang sesuai dengan order yang ada. Oleh kaena itu dituntut untuk mencari solusi pemecahan masalah optimal dalam penentuan jadwal produksi untuk meminimisasi total waktu penyelessaian (makespan) semua order. Dalam penelitian ini, penjadwalan menggunakan metode Simulated Annealing (SA) diharapkan dapat menghasilkan waktu total penyelesaian lebih cepat dari penjadwalan yang ada pada perusahaan.   Scheduling is a very important aspect because in it there are elements of planning and production control for a company that can send goods in accordance with a predetermined time, to obtain a minimum total time of completion. The main problem faced by PT. ML is the delay in completing orders that affect delivery time to customer because the implementation of production scheduling on the factory floor has not produced the makespan that matches the existing order. Therefore, it is required to find optimal problem solving solutions in determining the production schedule to minimize the total time of elimination (makespan) of all orders. In this study, scheduling using the Simulated Annealing (SA) method is expected to produce a total time of completion faster than the existing scheduling in the company.

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