DQN Algorithm Based on Target Value Network Parameter Dynamic Update

2021 ◽  
Author(s):  
Weihang Jia ◽  
Jinhong Li ◽  
Yujie Zhao
Keyword(s):  
Network Parameter ◽  
Value Network ◽  
Dynamic Update ◽  
Target Value

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.

scholarly journals Sensitivity-informed Bayesian Inference for Home PLC Network Models with Unknown Parameters

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2402
Author(s):  
David S. Ching ◽  
Cosmin Safta ◽  
Thomas A. Reichardt
Keyword(s):  
Bayesian Inference ◽  
Transfer Function ◽  
Network Topology ◽  
Random Search ◽  
Network Models ◽  
Training Data ◽  
Unknown Parameters ◽  
Network Parameter ◽  
Dimensional Parameter ◽  
Discrete Random Variables

Bayesian inference is used to calibrate a bottom-up home PLC network model with unknown loads and wires at frequencies up to 30 MHz. A network topology with over 50 parameters is calibrated using global sensitivity analysis and transitional Markov Chain Monte Carlo (TMCMC). The sensitivity-informed Bayesian inference computes Sobol indices for each network parameter and applies TMCMC to calibrate the most sensitive parameters for a given network topology. A greedy random search with TMCMC is used to refine the discrete random variables of the network. This results in a model that can accurately compute the transfer function despite noisy training data and a high dimensional parameter space. The model is able to infer some parameters of the network used to produce the training data, and accurately computes the transfer function under extrapolative scenarios.

scholarly journals An apple a day – how the platform economy impacts value creation in the healthcare market

2021 ◽  
Author(s):  
Alexander Gleiss ◽  
Marco Kohlhagen ◽  
Key Pousttchi
Keyword(s):  
Value Creation ◽  
New Technologies ◽  
Healthcare Industry ◽  
Digital Platforms ◽  
Value Network ◽  
Healthcare Market ◽  
Network Analyses ◽  
The Social ◽  
Research Gap ◽  
Platform Economy

AbstractThe healthcare industry has been slow to adopt new technologies and practices. However, digital and data-enabled innovations diffuse the market, and the COVID-19 pandemic has recently emphasized the necessity of a fundamental digital transformation. Available research indicates the relevance of digital platforms in this process but has not studied their economic impact to date. In view of this research gap and the social and economic relevance of healthcare, we explore how digital platforms might affect value creation in this market with a particular focus on Google, Apple, Facebook, Amazon, and Microsoft (GAFAM). We rely on value network analyses to examine how GAFAM platforms introduce new value-creating roles and mechanisms in healthcare through their manifold products and services. Hereupon, we examine the GAFAM-impact on healthcare by scrutinizing the facilitators, activities, and effects. Our analyses show how GAFAM platforms multifacetedly untie conventional relationships and transform value creation structures in the healthcare market.

scholarly journals System Modelling and Analysis to Support Economic Assessment of Product-Service Systems

Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 6
Author(s):  
Khaled Medini ◽  
Sophie Peillon ◽  
Martha Orellano ◽  
Stefan Wiesner ◽  
Ang Liu
Keyword(s):  
Business Models ◽  
Economic Assessment ◽  
Service Industries ◽  
Service Systems ◽  
System Modelling ◽  
Value Network ◽  
A Value ◽  
Product Service ◽  
Industrial Cleaning ◽  
Product Service Systems

The evolution towards more customer-centric operations within manufacturing and service industries gave rise to novel ways of value creation and delivery such as Product–Service Systems (PSS). PSS integrate tangible and intangible elements to create new values for both customers and providers. Therefore, a close collaboration is required among various actors in a value network to co-create values towards win–win gains. For companies to keep up with this pace, new decision support tools are needed to accompany PSS engineering and to adjust business models. This need is confronted with the scarcity of PSS-oriented economic assessment models and methods. This paper presents a comprehensive framework for the economic assessment of PSS. The framework relies on a novel combination of system modelling and analysis approaches to enable cost and revenue attribution to different actors in a value network. The applicability and relevance of the framework are demonstrated through a case study in the industrial cleaning sector.

StatPal II pH and Blood Gas Analysis System evaluated

1994 ◽  
Vol 40 (1) ◽  
pp. 124-129 ◽  
Author(s):  
R J Wong ◽  
J J Mahoney ◽  
J A Harvey ◽  
A L Van Kessel
Keyword(s):  
Point Of Care ◽  
Blood Gases ◽  
Blood Gas Analysis ◽  
Gas Analysis ◽  
Portable Instrument ◽  
Blood Gas ◽  
Target Value ◽  
Analysis System

Abstract We evaluated a new portable instrument, the PPG StatPal II pH and Blood Gas Analysis System, designed for "point-of-care" measurements of blood gases and pH. Inaccuracy (% of target value) and imprecision (CV%) were assessed by blood tonometry and comparison with a Corning 178. Within-day results for PCO2 inaccuracy and imprecision ranged from 98.2% to 102.9% and 3.3% to 3.9%, respectively; for PO2, these were 95.5% to 102.3% and 2.3% to 3.0%, respectively. Between-day results for PCO2 inaccuracy and imprecision ranged from 99.2% to 99.3% and from 2.9% to 3.2%, respectively; for PO2, the ranges were 96.2% to 98.2% and 2.6% to 3.0%, respectively. Two PCO2 outliers (in 645 samples = 0.3%) were observed. In general, tonometry recovery, measurement stability, and pH bias results for the StatPal II and Corning 178 were comparable. We conclude that the StatPal II performs within acceptable ranges of inaccuracy and imprecision.

A New Method for Aggregate Proportion Design of Mixture

2012 ◽  
Vol 178-181 ◽  
pp. 1250-1253
Author(s):  
Yu Hua Li ◽  
Kai Huang ◽  
Ying Zhen Gao
Keyword(s):  
Iterative Algorithm ◽  
Accurate Result ◽  
High Accuracy ◽  
New Method ◽  
Equation Method ◽  
Normal Equation ◽  
Improved Method ◽  
Mixture Ratio ◽  
Target Value ◽  
Initial Target

When we make design of mixture ratio, we always use normal equation method (NEM), but the solution value of that method may doesn’t meet our demand. When we use the new method that proposed in this paper, we can solve the problem. The new method makes an improvement for NEM. By iterative algorithm, the new method uses the gradation data calculated by NEM as initial target value, canceling the relevant aggregate if the result of proportion is negative, and setting the gradation to the boundary value if the target value goes beyond limits. According to the adjusted object value, using NEM again, the new aggregate proportion can be solved. Then the new gradation of mixture will come into being the next target value. Finally, the accurate result will meet our need. The new improved method has good engineering applicability and high accuracy

Robust Control for Urban Living Water System with Seasonal Volatility

2013 ◽  
Vol 295-298 ◽  
pp. 1927-1930
Author(s):  
Ke Bai Li
Keyword(s):  
Water Management ◽  
Robust Control ◽  
Control Method ◽  
Supply And Demand ◽  
Water System ◽  
Management Model ◽  
State Variables ◽  
Urban Living ◽  
Target Value ◽  
Seasonal Volatility

Established urban living water management model. With capital and labor as state variables, using the pole assignment robust control method, realize the urban living water system supply and demand balance tending to target value.

Sign in / Sign up

Export Citation Format

Share Document