Graduated Value Model of Supply Chain Management Based on Fuzzy Theory and Multi-classes Support Vector Machine

2009 ◽  
Author(s):  
Tao Yin
Keyword(s):  
Support Vector Machine ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Fuzzy Theory ◽  
Support Vector ◽  
Chain Management ◽  
Value Model

scholarly journals A Study on an Extensive Hierarchical Model for Demand Forecasting of Automobile Components

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Cisse Sory Ibrahima ◽  
Jianwu Xue ◽  
Thierno Gueye
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Demand Forecasting ◽  
Big Data Analytics ◽  
Support Vector ◽  
Chain Management ◽  
Wide Range ◽  
Auto Parts

Demand forecasting and big data analytics in supply chain management are gaining interest. This is attributed to the wide range of big data analytics in supply chain management, in addition to demand forecasting, and behavioral analysis. In this article, we studied the application of big data analytics forecasting in supply chain demand forecasting in the automotive parts industry to propose classifications of these applications, identify gaps, and provide ideas for future research. Algorithms will then be classified and then applied in supply chain management such as neural networks, k-nearest neighbors, time series forecasting, clustering, regression analysis, support vector regression and support vector machines. An extensive hierarchical model for short-term auto parts demand assessment was employed to avoid the shortcomings of the earlier models and to close the gap that regarded mainly a single time series. The concept of extensive relevance assessment was proposed, and subsequently methods to reflect the relevance of automotive demand factors were discussed. Using a wide range of skills, the factors and cofactors are expressed in the form of a correlation characteristic matrix to ensure the degree of influence of each factor on the demand for automotive components. Then, it is compared with the existing data and predicted the short-term historical data. The result proved the predictive error is less than 6%, which supports the validity of the prediction method. This research offers the basis for the macroeconomic regulation of the government and the production of auto parts manufacturers.

Medikamentenlogistik: Kooperation: Swisslog Healthcare und SPZ

2017 ◽  
Vol 22 (04) ◽  
pp. 78-78
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Chain Management

Swisslog, ein führender Anbieter von Lösungen für Medikamenten- und Supply-Chain-Management im Gesundheitswesen, hat vom angesehenen Schweizer Paraplegiker-Zentrum in Nottwil (SPZ) den Großauftrag für die Lieferung und Installation seiner modernsten Technologie zur stationären und ambulanten Medikamentenversorgung erhalten.

Theory of the firm, Supply Chain management, and relationship marketing

2014 ◽  
pp. 40-60
Author(s):  
M. Storchevoy
Keyword(s):  
Economic Theory ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Relationship Marketing ◽  
Theory Of The Firm ◽  
Chain Management

The paper studies through the lens of the economic theory of the firm the development of two managerial disciplines: supply chain management and relationship marketing. The author demonstrates which ideas have been borrowed by these disciplines from the economic theory of the firm, and in what extent their implications may be useful for the latter.

Pengukuran Kinerja Supply Chain Menggunakan Supply Chain Operation Reference (Scor®) (Studi Kasus Koperasi Baitul Qiradh Baburrayyan)

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Raysa Aleyzia ◽  
Hasan Yudie Sastra
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Six Sigma ◽  
Green Beans ◽  
Chain Management ◽  
Total Cost ◽  
Target Value ◽  
Chain Operation ◽  
Cost To Serve ◽  
Supply Chain Operation

Manajemen supply chain yang tidak maksimal akan mempengaruhi kinerja suatu perusahaan. Di Aceh Tengah terdapat suatu koperasi yaitu Koperasi Baitul Qiradh (KBQ) Baburrayyan yang sudah menerapkan manajemen supply chain. Koperasi ini bergerak di bisnis perdagangan biji kopi (green bean). Penelitian ini bertujuan untuk mengukur kinerja supply chain dari KBQ Baburrayyan. Metode yang digunakan adalah SCOR® dengan praktik perbaikan Convergence of SCOR® with Lean and Six Sigma. Target kinerja yang diperoleh untuk total cost to serve adalah sebesar 94,71% dari nilai target 65,00% dan untuk return on supply chain fixed asset adalah sebesar 1,60 dari nilai target 2,50. Hasil yang diperoleh dari penggunaan praktik tersebut adalah terdapat 8 akar penyebab waste di antaranya kurangnya tenaga pengawas, training/briefing belum maksimal, kurangnya kepedulian tentang pentingnya K3, layout yang kurang efisien, belum adanya unit penyuluhan, alat yang masih sederhana, pekerjaan yang monoton, dan tidak dilarang secara tegas.   Supply chain management that is not optimal will affect the performance of a company. In Central Aceh there is a cooperative namely Koperasi Baitul Qiradh (KBQ) Baburrayyan which has implemented supply chain management. This cooperative is engaged in the business of trading in green beans. This study aims to measure the supply chain performance of KBQ Baburrayyan. The method used is SCOR® with the practice of improving Convergence of SCOR® with Lean and Six Sigma. The performance target for total cost to serve is 94.71% of the target value of 65.00% and the return on supply chain fixed assets is 1.60 of the target value of 2.50. The results obtained from the use of the practice are that there are 8 root causes of waste including lack of supervisors, training / briefing is not maximal, lack of concern about the importance of K3, inefficient layouts, absence of extension units, simple tools, monotonous work, and not strictly prohibited.

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