Integrated Product and Tool Development

2015 ◽  
Vol 794 ◽  
pp. 524-531
Author(s):  
Jan Kantelberg ◽  
Abassin Aryobsei ◽  
Stefan Rudolf ◽  
Günther Schuh
Keyword(s):  
Critical Path ◽  
Success Factor ◽  
Tool Development ◽  
Key Factors ◽  
Design Decisions ◽  
Time To Market ◽  
Serial Production ◽  
Product Features ◽  
Process Chains ◽  
Strategic Success

Rising cost pressure and the trend of extensive product customization lead to a situation in which the management of interfaces between different areas of process chains is a substantial strategic success factor. Since tooling is commonly placed as an element on the critical path between product development and serial production, the design and management of this interface has a significant impact on the key factors time-to-market, quality and costs. Based on the presented motivation, this paper provides a methodology to estimate the effects of product design decisions on the necessary tools regarding time, quality and costs. It is based on a systematic approach for the interaction of product and tool parameters and focuses on the effect and handling of external restrictions on product features.

scholarly journals Ramp-up Process Improvement Practices for Time-to-Market Reduction

2018 ◽  
Vol 26 (1) ◽  
pp. 19
Author(s):  
Krisztián Szabó
Keyword(s):  
Product Development ◽  
Competitive Advantage ◽  
Continuous Improvement ◽  
Process Improvement ◽  
New Products ◽  
Core Competency ◽  
Time To Market ◽  
Serial Production ◽  
Automotive Supplier ◽  
Significant Percentage

The importance of the “Ramp-up bridge” covering the gap between product development and serial production, as well as the speed at which this bridge can be crossed, has increased, providing companies with a significant competitive advantage.However, a significant percentage of project aiming to introduce new products do not achieve their goals. [(60 percent of the automotive supplier ramp-up projects fail on either the technical, or the economic side (Bischoff, 2007)].The author explores the possible reasons, then makes suggestions regarding the support of successful ramp-up projects, through practical examples taken from the industry. Through the continuous improvement of ramp-ups, a new core competency can be achieved, with a decrease in time-to-market. This core competency is difficult to duplicate, and can provide an additional competitive advantage for companies manufacturing products with high technical complexity.

Factors Affecting Design Decisions for Customer Relationship Management Data Warehouses

2011 ◽  
pp. 159-191
Author(s):  
Colleen Cunningham ◽  
Il-Yeol Song
Keyword(s):  
Customer Relationship Management ◽  
Data Warehousing ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Warehouses ◽  
Key Factors ◽  
Design Decisions ◽  
Factors Affecting ◽  
Percent Success ◽  
The Impact

Customer relationship management (CRM) is a strategy that integrates concepts of knowledge management, data mining, and data warehousing in order to support an organization’s decision-making process to retain long-term and profitable relationships with its customers. Key factors for successfully implementing CRM (e.g., data quality issues, organizational readiness, customer strategies, selection of appropriate KPIs, and the design of the data warehouse model) are discussed with the main thrust of the chapter focusing on CRM analyses and the impact of those analyses on CRM data warehousing design decisions. This chapter then presents a robust multidimensional starter model that supports CRM analyses. Additional research contributions include the introduction of two new measures, percent success ratio and CRM suitability ratio by which CRM models can be evaluated, the identification/ classification of CRM queries, and a preliminary heuristic for designing data warehouses to support CRM analyses.

Characteristics and Critical Success Factors Prioritization of MSMEs in African Agribusiness: A Case of DR. Congo

2015 ◽  
Vol 1 (6) ◽  
pp. 31-43
Author(s):  
Mbayo Kabango Christian
Keyword(s):  
Supply Chain ◽  
Critical Success Factors ◽  
Success Factors ◽  
Small And Medium Enterprises ◽  
Critical Path ◽  
Success Factor ◽  
Critical Success ◽  
Production And Distribution ◽  
Pertinent Question ◽  
Medium Enterprises

Due to the pertinent question of development of micro small and medium enterprises (MSMEs) and self food supply over the world and especially in Africa, this paper intends to analyze the key characteristics of the Congolese MSMEs, the identification of the perceived critical success factors and their prioritization for accurate and well-oriented performance action. To respond to the focus issues of this paper, an investigation on 259 enterprises was made in Kinshasa and the critical success factor methodology was used to cease and categorize all perceived factors from entrepreneurs. From this, 45 identified CSFs emerged throughout the operational channel of MSMEs and where categorized into four groups which are externalities, strategy, finance and organization. The Analytical Hierarchy Process is used to prioritize these CSFs per operational channel sections which are supply chain, production and distribution. And findings show that the most critical path is the supply chain while the highest critical axis is the finance area followed respectively by strategy, externalities and organization axes.

Tolerance Optimization Design Based on Physical Programming Methods and PSO Algorithm

2011 ◽  
Vol 346 ◽  
pp. 584-592 ◽  
Author(s):  
H.B. Qiu ◽  
Y. Y. Dong ◽  
Y. Wang ◽  
L. Gao
Keyword(s):  
Optimization Design ◽  
Pso Algorithm ◽  
Tolerance Allocation ◽  
Dimensional Chain ◽  
Effective Solution ◽  
Key Factors ◽  
Physical Programming ◽  
Tolerance Optimization ◽  
Product Features ◽  
Mechanical Products

Product tolerance is one of the key factors which can determine the good or bad performance of mechanical products. Its size not only affects the manufacturing and assembly process, but also affects product features [1]. Thus tolerance optimization design gets more and more attention. In this paper, an improved physical programming method is used to make mathematical modeling for tolerance allocation problem of assembly dimensional chain, and PSO algorithm is also used to improve solving ability. And the effective solution for tolerance optimization is designed.

scholarly journals DataBasic: Design Principles, Tools and Activities for Data Literacy Learners

2016 ◽  
Vol 12 (3) ◽  
Author(s):  
Catherine D'Ignazio ◽  
Rahul Bhargava
Keyword(s):  
Design Principles ◽  
Literacy Skills ◽  
Digital Tools ◽  
Tool Development ◽  
Design Decisions ◽  
Data Literacy ◽  
Pedagogical Design ◽  
Early Results ◽  
The Creation ◽  
Literacy Learners

The growing number of tools for data novices are not designed with the goal of learning in mind. This paper proposes a set of pedagogical design principles for tool development to support data literacy learners.  We document their use in the creation of three digital tools and activities that help learners build data literacy, showing design decisions driven by our pedagogy. Sketches students created during the activities reflect their adeptness with key data literacy skills. Based on early results, we suggest that tool designers and educators should orient their work from the outset around strong pedagogical principles.

Design Process Error-Proofing: Project Quality Function Deployment

2004 ◽  
Author(s):  
Lawrence P. Chao ◽  
Kosuke Ishii
Keyword(s):  
Design Process ◽  
Quality Function Deployment ◽  
Time To Market ◽  
Quality Function ◽  
Product Features ◽  
Process Error ◽  
Catastrophic Failures ◽  
Practical Design ◽  
Product Definition ◽  
Error Proofing

This paper presents an advanced application of Quality Function Deployment (QFD) for product development projects. Design process error-proofing not only seeks to prevent catastrophic failures but also addresses product definition problems that compromise product features, time-to-market, or cost. Project QFD helps identify the organization requirements and flow them down to the activities, tools, and other solution elements for the project. This approach aids both product definition and resource allocation to clarify and strategically align project goals. The paper explains the method, illustrates it with an example, and discusses its effectiveness through a survey in industry and practical design projects at Stanford. The paper concludes with the proposed work to further disseminate this method.

Process Capital as Strategic Success Factor

2014 ◽  
pp. 133-152 ◽  
Author(s):  
Markus Brenner ◽  
André Coners ◽  
Benjamin Matthies
Keyword(s):  
Success Factor ◽  
Strategic Success

Data Analytics

2020 ◽  
pp. 344-361
Author(s):  
Manuel Alejandro Morales-Serazzi ◽  
Oscar González-Benito ◽  
Mercedes Martos-Partal
Keyword(s):  
Decision Making ◽  
Family Business ◽  
Data Analytics ◽  
Family Firms ◽  
Quality Information ◽  
Success Factor ◽  
Key Factors ◽  
Business Growth ◽  
The Family ◽  
The World

The growing proliferation of data in firms around the world have made analytics a success factor for business growth, and by default, achieving greater performance. This research proposes a data analytics model for marketing decision making. Literature was reviewed, and several key factors for the growth of the family business were identified. In addition, 140 marketing managers from family and non-family firms in Spain were surveyed. Four key factors were identified to implement a data analytics project. An empirical model is presented, which allows visualizing the relationships that generate quality information. Data analytics is a competitive advantage for recognized firms in the world; however, there is an underutilization of information by the family business. This chapter allows reducing the gap between competitors, regardless of their ownership structure. Therefore, it declares a challenge and an opportunity for the family firm.

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