Plan Generation and Evaluation Using Action Networks

2003 ◽  
Author(s):  
Mark Peot
Keyword(s):  
Plan Generation ◽  
Action Networks

WHO European Health Literacy Action Plan

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
K Sørensen ◽  
A Koylyu ◽  
B Mikkelsen
Keyword(s):  
Health Literacy ◽  
Swot Analysis ◽  
Action Plan ◽  
Action Planning ◽  
Regional Office ◽  
Member States ◽  
Wide Range ◽  
European Health ◽  
Other World ◽  
Action Networks

Abstract Background Grounded in the last decade's health literacy developments; the work of the European health literacy action networks on measurement and NCDs as well as the newly adopted European Health Literacy Roadmap and resolution agreed upon by their 53 Member States in 2019, the WHO European Region continues its investment in health literacy. A WHO European health literacy action plan is under development to be launched in 2021. The action plan implies concrete actions for Member States on how to develop health literate populations and societies. Methods Based on co-creation principles, the development of the action plan is conducted by stakeholders from a wide range of fields and disciplines. Lead by the WHO European Regional Office, the process includes an initial stakeholder meeting, iterative technical consultations with experts and the wider stakeholder community and Member State consultations. The analytical methods integrate a SWOT-analysis, future scenario thinking and long-sight action planning approaches as well as application of health literacy analytics. Results The results of the initial analytical steps will be presented such as the SWOT analysis, the future scenarios and associated recommendations on how to create health literate populations and societies in Europe. Additionally, the outline of the draft of the European health literacy action plan will be open for discussion and input. Conclusions Through an iterative process, the European health literacy action plan is co-produced by multiple actors through a series of consultations facilitating ownership and accountability. The European health literacy action plan can be an inspiration and a model for other world regions.

CPGEA: a grouping genetic algorithm for material cutting plan generation

2003 ◽  
Vol 44 (4) ◽  
pp. 651-672 ◽  
Author(s):  
Chang-Yu Hung ◽  
Robert T. Sumichrast ◽  
Evelyn C. Brown
Keyword(s):  
Genetic Algorithm ◽  
Plan Generation ◽  
Grouping Genetic Algorithm ◽  
Cutting Plan ◽  
Material Cutting

Tool workspace consideration for assembly plan generation

2021 ◽  
Vol 41 (5) ◽  
pp. 612-625
Author(s):  
Akram Bedeoui ◽  
Riadh Ben Hadj ◽  
Moncef Hammadi ◽  
Nizar Aifaoui
Keyword(s):  
Collision Detection ◽  
New Product ◽  
Production Costs ◽  
Assembly Sequence ◽  
Content Type ◽  
Plan Generation ◽  
Assembly Sequences ◽  
Dynamic Interference ◽  
Time Decrease

Purpose During the design of a new product, the generation of assembly sequences plans (ASPs) has become one of the most important problems taken into account by researchers. In fact, a good mounting order allows the time decrease of the assembly process which leads to the reduction of production costs. In this context, researchers developed several methods to generate and optimize ASP based on various criteria. Although this paper aims to improve the quality of ASP it is necessary to increase the number of criteria which must be taken into account when generating ASPs. Design/methodology/approach In this paper, an ASP generation approach, which is based on three main algorithms, is proposed. The first one generates a set of assembly sequences based on stability criteria. The obtained results are treated by the second algorithm which is based on assembly tools (ATs) workspace criterion. An illustrative example is used to explain the different steps of this proposed approach. Moreover, a comparative study is done to highlight its advantages. Findings The proposed algorithm verifies, for each assembly sequence, the minimal required workspace of used AT and eliminates the ASPs non-respecting this criterion. Finally, the remaining assembly sequences are treated by the third algorithm to reduce the AT change during the mounting operation. Originality/value The proposed approach introduces the concept of AT workspace to simulate and select ASPs that respect this criterion. The dynamic interference process allows the eventual collision detection between tool and component and avoids it. The proposed approach reduces the AT change during the mounting operations.

A Decision Support System for Containership Stowage Planning

1989 ◽  
Vol 26 (01) ◽  
pp. 47-61
Author(s):  
D. J. Saginaw ◽  
A. N. Perakis
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Interactive Graphics ◽  
Maritime Industry ◽  
Automate Data ◽  
Plan Generation ◽  
Stowage Planning ◽  
Definition Of ◽  
Stowage Plan

The results of a project intending to design and develop a microcomputer-based, interactive graphics decision support system for containership stowage planning are presented. The objective was to create a working prototype that would automate data management tasks and provide computational capabilities to allow the stowage planner to continuously assess vessel trim, stability, and strength characteristics. The paper provides a complete description of the decision support system developed to meet this objective, including a definition of the containership stowage problem, and details on the design and development of the Automated Stowage Plan Generation Routine (ASPGR). The paper concludes with a discussion of issues relevant to the implementation of the system in the maritime industry.

scholarly journals Strategic Team AI Path Plans: Probabilistic Pathfinding

2008 ◽  
Vol 2008 ◽  
pp. 1-6 ◽  
Author(s):  
Tng C. H. John ◽  
Edmond C. Prakash ◽  
Narendra S. Chaudhari
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Computer Games ◽  
Fitness Function ◽  
New Method ◽  
High Quality ◽  
Plan Generation ◽  
Novel Method ◽  
Games And Simulations

This paper proposes a novel method to generate strategic team AI pathfinding plans for computer games and simulations using probabilistic pathfinding. This method is inspired by genetic algorithms (Russell and Norvig, 2002), in that, a fitness function is used to test the quality of the path plans. The method generates high-quality path plans by eliminating the low-quality ones. The path plans are generated by probabilistic pathfinding, and the elimination is done by a fitness test of the path plans. This path plan generation method has the ability to generate variation or different high-quality paths, which is desired for games to increase replay values. This work is an extension of our earlier work on team AI: probabilistic pathfinding (John et al., 2006). We explore ways to combine probabilistic pathfinding and genetic algorithm to create a new method to generate strategic team AI pathfinding plans.

Service Composition and Execution Plan Generation of Composite Semantic WEB Services Using Abductive Event Calculus

2015 ◽  
Vol 32 (4) ◽  
pp. 711-737 ◽  
Author(s):  
D. Paulraj ◽  
S. Swamynathan ◽  
Daniel Chandran ◽  
K. Balasubadra ◽  
M. Vigilson Prem
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Service Composition ◽  
Semantic Web Services ◽  
Event Calculus ◽  
Execution Plan ◽  
Plan Generation
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