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GCRI · Perdagangan dan Sumber Daya Strategis

Optimisasi untuk perdagangan dan pasokan

Optimisation and operations research decide how to route, stock and diversify supply under cost and risk. In this field they design rerouting, size strategic stocks and choose sourcing portfolios that hold up across disruption scenarios.

01Daftar

Optimisation for trade and supply on the record.

Catatan metodeMetode STEM
  1. MetodeOptimisasi dan riset operasi
  2. Diterapkan diPerdagangan dan Sumber Daya Strategis
  3. Halaman kanonisSTEM Commons
02Permohonan

What optimisation and operations research does here.

Optimisation and operations research develop mathematical methods for allocating resources and making decisions under constraints. They support planning and logistics in complex, interconnected sistem. In trade, resources and supply chains and industry and robotics, optimisation supports prepositioning of supplies, network investment and recovery sequencing. Robust formulations help choose options that perform acceptably across many scenarios. The canonical description is on STEM Commons.

Rerouting under chokepoint closure

Shipping network models find least-cost alternative routes when a chokepoint closes, and estimate added distance, time and capacity needed at alternative ports.

Strategic stock sizing

Stock levels for essential inputs are set by comparing holding costs with expected kekurangan costs across disruption scenarios.

Sourcing portfolio design

Supplier mixes are optimised for cost and resilience, showing how much diversification reduces exposure for a given price premium.

03Simulator

Guncangan melalui ekonomi masukan-keluaran.

A loss of output in one sector propagates through the technical coefficients to its suppliers and customers, and recovers at the rate you set; the coefficients are teaching values, not national accounts. Teaching model with stated illustrative values, not a prediction.

Kendali

Sektor yang terkena pertama (urutan dalam daftar)
0
Ukuran guncangan
30% dari keluarannya
Durasi guncangan
30 hari
Laju pemulihan
0,08 per hari
Hari yang disimulasikan
180 hari

Pembacaan

Keluaran yang hilang selama simulasi
0.61% of a year’s output
Total terhadap langsung (pengganda)
1.62 times
Sektor lain yang paling terdampak
Layanan
Puncak ketidakberfungsiannya
3.9%
Angka, metode, dan sumber
SektorPuncak ketidakberfungsian (%)Bobot keluaran (%)
Pertanian30.8514.6
Energi2.8316.5
Manufaktur0.5019.5
Transportasi dan pelabuhan0.3412.0
Perdagangan0.2319.8
Layanan3.9117.6

Metode

  1. Analisis masukan-keluaran Leontief (1936); Miller and Blair (2009), Input-Output Analysis, Cambridge University Press
  2. Model masukan-keluaran ketidakberfungsian Haimes and Jiang (2001), Journal of Infrastructure Systems 7
  3. Ketidakberfungsian dinamis dan pemulihan Lian dan Haimes (2006), Systems Engineering 9
  4. Kipas ketidakpastian (Monte Carlo parameter) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  5. Sensitivitas satu per satu (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Data

The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:

  • Pelabuhan laut Natural Earth
  • Titik sempit maritim Nexus (selat dan terusan bernama pada koordinat terbitannya)
  • Jalur kereta api Natural Earth
  • Jalan utama Natural Earth
Guncangan melalui ekonomi input-output. Model pengajaran ilustratif: model ini berjalan pada nilai yang ditetapkan oleh kontrol, bukan pada data terukur. Metode: Analisis input-output (Leontief (1936); Miller dan Blair (2009), Input-Output Analysis, Cambridge University Press); Model input-output inoperabilitas (Haimes dan Jiang (2001), Journal of Infrastructure Systems 7); Inoperabilitas dinamis dan pemulihan (Lian dan Haimes (2006), Systems Engineering 9).
04Data

Apa yang digunakan metode ini.

Datasets and records used by optimisation and operations research on this platform, with the role each plays and the label its values carry. Sources are listed in register sumber.

DataPeranLabel
Shipping routes and port capacitiesNetwork constraintsESTIMASI
Disruption scenariosKetidakpastianDIMODELKAN
Input costs and demandTujuanTERAMATI
05Metode dan bukti

How optimisation for trade and supply is modelled, measured and tested.

Model, asumsi, data, dan ketidakpastiannya, dalam bentuk yang akan diperiksa ilmuwan atau insinyur. Strukturnya mengikuti metode yang dipublikasikan. Nilai yang digambar bersifat ilustratif, bukan temuan.

Model sistem

The couplings between the systems in optimisation for trade and supply: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−+PerdaganganIndustriKomunitasEkonomiR penguatB penyeimbang
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
Prinsip panduan FAIR · GO FAIR dan FORCE11W3C PROV · World Wide Web ConsortiumPanduan penanganan ketidakpastian secara konsisten · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
06Validasi

Cara hasil diperiksa.

Solutions are checked for feasibility, tested through simulation and compared with historical decisions. Analisis sensitivitas examines how results change with parameters.

PemeriksaanCara pelaksanaannya
Out-of-sample scenariosSolutions are tested on scenarios not used to choose them
Operator reviewRoute and capacity constraints are checked with logistics operators
Trade-off reportingCost and resilience trade-offs are shown as a frontier

Optimal solutions can be fragile when assumptions are wrong. Objectives may omit values that are hard to quantify.

08Pengelolaan

Siapa yang memelihara metode ini.

Ilmu Sistem dan Pemodelan stewards optimisation and operations research for the Consortium and reviews how it is applied across platforms.

09Terhubung

Ke mana halaman ini mengarah di seluruh Konsorsium.

10Pertanyaan

Tanya jawab.

What are the limits of optimisation and operations research in this field?
Optimal solutions can be fragile when assumptions are wrong. Objectives may omit values that are hard to quantify.
Bagaimana hasil diperiksa?
Solutions are checked for feasibility, tested through simulation and compared with historical decisions. Sensitivity analysis examines how results change with parameters.
Apakah nilai di halaman ini nyata?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Di mana lagi metode ini diterapkan?
Observatory Halaman metode kanonis mencantumkan setiap platform yang menerapkannya.
LaporanBerkontribusi

Kontribusikan bukti dari halaman ini.

Laporan is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

GCRIPerdagangan dan Sumber Daya StrategisSistem StrategisSkenario dan Uji Tekanan
Perdagangan dan Sumber Daya Strategis

Bawa metode, dataset, atau pertanyaan.

Informasi dan pertanyaan sudah terbuka hari ini. Sebuah pertanyaan menerima nomor referensi dan menyebutkan langkah berikutnya; lamaran, pembayaran, alokasi komputasi, dan pendaftaran hanya dibuka ketika tim, ketentuan, dan kapasitas tinjauannya tersedia.