PENGEMBANGAN MODEL TERINTEGRASI MULTI SUPPLIER PADA RANTAI PASOKAN MENGGUNAKAN SEMANTIC WEB SERVICE
| Main Author: | JUNIRIANTO, EKO |
|---|---|
| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2015
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/134552/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=77315 |
Daftar Isi:
- System integration between the companies involved and forecasting the amount of product demand is very important thing in development a supply chain management. Activities to get product (Procurement, Purchasing or Supply) and plan production and inventory (Planning and Control) in the supply chain will be managed by using WSMO-based semantic web services and forecasting based on Brown's double exponential smoothing. WSMO-based semantic web service has four main parts: the ontology, web services, goals and mediators which makes it able to model every element on a web service integration. Forecasting process using double exponential smoothing of Brown by calculating the mean absolute percentage error (MAPE) to calculate the best forecasting for each product. Verify the forecasting process utilizing the moving range (MR). Forecasting acceptable should be between the upper control limit and lower control limit. WSMO in supply chain consists of 7 ontologies, 11 web services and 4 goals. ontology and web service are stored in memory Modelling Web Service Execution Environment (WSMX). Goal will be executed through achieveGoal() function which is owned by WSMX. The test results of the double exponential smoothing forecasting for products P1, P2 and P3 by using the MR is acceptable because it is located between the upper control limit and lower control limit.