scholarly journals Design for manufacturing and assembly key performance indicators to support high-speed product development

Procedia CIRP ◽  
2018 ◽  
Vol 70 ◽  
pp. 114-119 ◽  
Author(s):  
Mary Kathryn Thompson ◽  
Ida Kirstine Juel Jespersen ◽  
Thomas Kjærgaard
Keyword(s):  
Product Development ◽  
Performance Indicators ◽  
High Speed ◽  
Key Performance Indicators ◽  
Design For Manufacturing

Analyzing Enterprise Attribute-Dependent KPIs/KGIs by Bayesian Network-Leveraging LDA

2021 ◽  
Vol 9 (2) ◽  
pp. 48-67
Author(s):  
Yutaka Iwakami ◽  
Hironori Takuma ◽  
Motoi Iwashita
Keyword(s):  
Network Analysis ◽  
Product Development ◽  
Bayesian Network ◽  
Performance Indicators ◽  
Latent Dirichlet Allocation ◽  
Key Performance Indicators ◽  
Global Society ◽  
National Differences ◽  
Dirichlet Allocation

In product development, key performance indicators (KPIs) and key goal indicators (KGIs) have complex influences on each other. To understand the structure among them, Bayesian network analysis is one of effective methods. However, relationships among KPIs/KGIs often differ in attributes of enterprises, such as business type and annual sales. In this study, the authors incorporate topics obtained via latent Dirichlet allocation (LDA) into Bayesian network as nodes. With this “Bayesian network with topic nodes,” how KPIs affect the results of KGIs can be probabilistically inferenced and graphically observed according to attributes of enterprises. Furthermore, by configuring cultural or national differences as topic nodes, the proposed methods are expected to contribute overcoming barriers caused by these differences and accelerating improvement of product development in the global society.

scholarly journals Computational simulation applied in choosing the best solution in a product development using design for manufacturing and assembly approach

2018 ◽  
Vol 15 (4) ◽  
pp. 618-628
Author(s):  
Nathália Marcia Goulart Pinheiro ◽  
Robert Eduardo Cooper Ordoñez ◽  
Gustavo Lemes Leite Barbosa ◽  
Franco Giuseppe Dedini
Keyword(s):  
Computer Simulation ◽  
Product Development ◽  
Performance Indicators ◽  
Production Systems ◽  
Computational Simulation ◽  
Design For Manufacturing ◽  
Simulation Software ◽  
Production Performance ◽  
Productive Performance ◽  
Product Solution

Highlights: The product development methodology aims to assist the planning and design of the product throughout its life cycle. Using selection criteria it is possible to choose a solution will be followed until the end of the development process and this process is known as optimization of product solutions. Design for Manufacturing and Assembly (DFMA) is an approach that allows selecting a product solution with better manufacturing and assembly performance. Computational modeling allows representing systems in virtual environment in order to reproduce its characteristics and to compare scenarios through simulation. Goal: The objective of this work was to apply the computer simulation to compare the productive performance, according to production times, productivity and resource utilization rate, of three solutions proposed for a raincoat for pets with thermal protection. Methodology: Initially, conceptual models representing the production systems for the three product solutions were generated. The systems were modeled in discrete event simulation software, enabling different scenarios testing, resulting in production performance indicators for each product solution. Results: The analysis of the performance indicators allow identifying that the third solution proposed for the product obtained the best productive performance in all proposed scenarios; therefore, it was chosen as the best solution for the product according to the DFMA approach. Limitations of the investigation: The application of the methodology indicated in this work was limited to the study of a single productive system of a specific product. Practical implications: This work presents a practical application of computer simulation tools applied to product development. Originality / Value: The original contribution of this work is the application of computational simulation of production systems in product development following the DFMA approach.

Optimalisasi Key Performance Indicators (KPI) Melalui Pendekatan Balance Scorecard Upaya Mengimplementasikan Performance Management System (PMS) Pada Perguruan Tinggi

CCIT Journal ◽  
2012 ◽  
Vol 6 (1) ◽  
pp. 17-34
Author(s):  
Untung Rahardja ◽  
Muhamad Yusup Eva ◽  
Rosyifa Rosyifa
Keyword(s):  
Performance Indicators ◽  
Management System ◽  
Educational Institution ◽  
Key Performance Indicators ◽  
Individual Performance ◽  
The State ◽  
Public Institution ◽  
Performance Measurement System ◽  
Educational Institutions ◽  
Successful Implementation

SQL Server Reporting Services is a way to analyze data, create reports using the indicators and gauges. Indicators are minimal gauges that convey the state of a single data value at a glance, and most are used to represent the state of Key Performance Indicators. Manage and harmonize the performance of an institution's educational institutions, especially universities with the performance of individuals or resources, no doubt is one of the essential elements for the success of an entity of the institution. Integrate the performance of an educational institution with individual performance is not an easy process, and therefore required a systematic approach to manage it. Implementation of a strategic management system based Balanced Scorecard can be used as a performance measurement system that will continuously monitor the successful implementation of the strategy of any public educational institution and measure the performance of its resources in a comprehensive and balanced, not the quantity but the emphasis is more concerned with the quality, so the performance of educational institutions at any time can be known clearly. Contribution of Key Performance Indicators to manage and harmonize the performance of any public institution is a solution in providing information to realize the extent of work that has set targets, identify and monitor measures of success, of course, with performance indicators show a clear, specific and measurable.

Strategic planning in grassland farming: Principles andapplications

1997 ◽  
pp. 191-197
Author(s):  
W.J. Parker ◽  
N.M. Shadbolt ◽  
D.I. Gray
Keyword(s):  
Strategic Planning ◽  
Performance Indicators ◽  
Cost Effective ◽  
Key Performance Indicators ◽  
Strategic Plans ◽  
Effective Manner ◽  
Farm Business ◽  
Pastoral Farming ◽  
Financial Environment

Three levels of planning can be distinguished in grassland farming: strategic, tactical and operational. The purpose of strategic planning is to achieve a sustainable long-term fit of the farm business with its physical, social and financial environment. In pastoral farming, this essentially means developing plans that maximise and best match pasture growth with animal demand, while generating sufficient income to maintain or enhance farm resources and improvements, and attain personal and financial goals. Strategic plans relate to the whole farm business and are focused on the means to achieve future needs. They should be routinely (at least annually) reviewed and monitored for effectiveness through key performance indicators (e.g., Economic Farm Surplus) that enable progress toward goals to be measured in a timely and cost-effective manner. Failure to link strategy with control is likely to result in unfulfilled plans. Keywords: management, performance

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