Research on multi-level distributed inventory optimization strategy and design of simulation algorithm

2011 ◽  
Author(s):  
Xu Xiaohua ◽  
Jiang Zhi
Keyword(s):  
Simulation Algorithm ◽  
Optimization Strategy ◽  
Inventory Optimization ◽  
Multi Level

scholarly journals An adaptive multi-level simulation algorithm for stochastic biological systems

2015 ◽  
Vol 142 (2) ◽  
pp. 024113 ◽  
Author(s):  
C. Lester ◽  
C. A. Yates ◽  
M. B. Giles ◽  
R. E. Baker
Keyword(s):  
Biological Systems ◽  
Simulation Algorithm ◽  
Multi Level

A bibliometric analysis of inventory management research based on knowledge mapping

2019 ◽  
Vol 37 (1) ◽  
pp. 127-154 ◽  
Author(s):  
Yong Ye ◽  
Yuanqin Ge
Keyword(s):  
Inventory Management ◽  
Dynamic Pricing ◽  
Research Field ◽  
Design And Technology ◽  
Future Research ◽  
Knowledge Mapping ◽  
Optimization Strategy ◽  
Management Research ◽  
Content Type ◽  
Inventory Optimization

PurposeThe research mainly aims at the hotspot of inventory management by knowledge mapping and provides a visualization reference in this research field.Design/methodology/approachFirst, inventory management journals during 1986 to 2017 were selected as the research object and text formatting in the Web of Science (WOS) database is exported. Then inventory management knowledge mapping is done and clustering keywords are extracted by using CiteSpace and VOSviewer software. Based on co-word analysis, the three special clusters are exported: inventory optimization strategy, inventory pricing and inventory technology. Besides, the clustering structure and time evolution are analysed. Finally, bibliographic item co-occurrence matrix builder (BICOMB) was used to extract the “journal” and “researchers” keywords in the inventory management research fields. Setting three parameters such as the cited half-life, centrality, frequency and keywords for data mining, it can infer the trend keywords of future research.FindingsResults showed that inventory management research has been abundant in literature over the past 30 years and has experienced a change from focusing on inventory optimization strategy to inventory pricing and inventory technology in process. It shows that inventory management research focused on the classic topics and includes economic order quantity, dynamic pricing, design and technology, and the new topics include channel coordination, hierarchical price and simulation.Research limitations/implicationsBased on knowledge mapping, this study is still relatively macro and cannot cover all areas of inventory management. This study only investigated the state of correlational research in WOS and Google Trends and not additional databases.Originality/valueThe current research mainly builds on knowledge mapping for the research hotspot of inventory management and provides visual references for future research in this field.

scholarly journals A Multi-level Optimization Strategy to Improve the Performance of Stencil Computation

2017 ◽  
Vol 108 ◽  
pp. 1083-1092 ◽  
Author(s):  
Gauthier Sornet ◽  
Fabrice Dupros ◽  
Sylvain Jubertie
Keyword(s):  
Optimization Strategy ◽  
Stencil Computation ◽  
Multi Level

Metamodel Based Design Automation: Applied on Multidisciplinary Design Optimization of Industrial Robots

2012 ◽  
Author(s):  
Mehdi Tarkian ◽  
Bhanoday Vemula ◽  
Xiaolong Feng ◽  
Johan Ölvander
Keyword(s):  
Design Optimization ◽  
Design Automation ◽  
Multidisciplinary Design Optimization ◽  
Industrial Robots ◽  
Multidisciplinary Design ◽  
Proof Of Concept ◽  
Optimization Strategy ◽  
Concept Generation ◽  
Multi Level ◽  
High Level

Intricate and complex dependencies between multiple disciplines require iterative intensive optimization processes. To this end, multidisciplinary design optimization (MDO) has been established as a convincing concurrent technique to manage inherited complexities. This paper presents a high level CAD and CAE design automation methodology which enables fast, efficient concept generation for MDO. To increase the evaluation speed, global metamodels are introduced to replace computationally expensive CAD and CAE models. In addition, various techniques are applied to drastically decrease the number of samplings required to create the metamodels. In the final part of the paper, a multi-level optimization strategy is proposed to find the optimal concept. As proof of concept, a real world design problem, from ABB industrial robotics, is presented.

Sign in / Sign up

Export Citation Format

Share Document