A Customer-Driven Approach to One-of-a-Kind Product Design

2007 ◽  
Author(s):  
Huijun Song ◽  
Deyi Xue ◽  
Yiliu Tu
Keyword(s):  
Product Design ◽  
Technical Level ◽  
Customer Requirements ◽  
Industrial Case Study ◽  
Product Families ◽  
Decomposition Approach ◽  
Function Decomposition ◽  
Optimal Product Design ◽  
Different Levels

This research addresses the issues to identify the optimal product design based on individual customer requirements in one-of-a-kind production (OKP). In this work, a function decomposition approach is introduced for modeling the variations of design functions, configurations, and parameters in generic OKP product families. Requirements of individual customers are modeled at two different levels: function level and technical level. Customized OKP products are created from the generic OKP product families based on customer requirements. The optimal product design is identified from feasible design candidates through optimization. An industrial case study is given to demonstrate the effectiveness of the introduced approach.

Integrated Optimal Product Design and Process Planning for One-of-a-Kind Production

2008 ◽  
Author(s):  
G. Hong ◽  
P. R. Dean ◽  
W. Yang ◽  
Y. L. Tu ◽  
D. Xue
Keyword(s):  
Product Design ◽  
Process Planning ◽  
Process Parameters ◽  
Manufacturing Process ◽  
Product Family ◽  
Manufacturing Processes ◽  
Customer Requirements ◽  
Industrial Case Study ◽  
Optimal Product Design ◽  
Local Company

One-of-a-kind production (OKP) is a new manufacturing paradigm to produce customized products based on requirements of individual customers while maintaining the quality and efficiency of mass production. In this research, an integrated optimal product design and process planning approach is developed to satisfy customer requirements considering design and manufacturing constraints. In this work, a hybrid AND-OR graph is introduced to model the variations of design configurations/parameters and manufacturing processes/parameters in generic product family. Since different design configurations and parameters can be created from the same customer requirements, and each design can be further achieved through alternative manufacturing processes and parameters, co-evolutionary genetic programming and numerical optimization are employed to identify the optimal product design configuration/parameters and manufacturing process/parameters. An industrial case study to identify the optimal design configuration/parameters and manufacturing process/parameters of custom window products in a local company is introduced to demonstrate the effectiveness of the developed method.

Identification of the Optimal Design and its Production Process for One-of-a-Kind Production

2008 ◽  
Vol 44-46 ◽  
pp. 607-617
Author(s):  
G. Hong ◽  
P. Dean ◽  
W. Yang ◽  
Y.L. Tu ◽  
D. Xue
Keyword(s):  
Optimal Design ◽  
Product Design ◽  
Process Parameters ◽  
Mass Production ◽  
Manufacturing Process ◽  
Production Efficiency ◽  
Product Family ◽  
Manufacturing Processes ◽  
Customer Requirements ◽  
Optimal Product Design

One-of-a-kind production (OKP) is a new manufacturing paradigm to produce customized products based on requirements of individual customers while maintaining the quality and efficiency of mass production. In this research, a computer-aided optimal product design and process planning approach is developed to support OKP product design and manufacture to satisfy individual customer requirements with near to mass production efficiency. In this work, a hybrid AND-OR graph is developed to model the variations of design configurations/parameters and manufacturing processes/parameters in generic product family. Since different design configurations and parameters can be created from the same customer requirements, and each design can be further achieved through alternative manufacturing processes and parameters, co-evolutionary genetic programming and numerical optimization are employed to identify the optimal product design configuration/parameters and manufacturing process/parameters. A case study to identify the optimal design configuration/parameters and manufacturing process/parameters of custom window products in an industrial company is introduced to demonstrate the effectiveness of the developed method.

Product Life-Oriented Development of Component Commonality and Variety

2013 ◽  
Author(s):  
Sandra Eilmus ◽  
Dieter Krause
Keyword(s):  
Customer Requirements ◽  
Lot Size ◽  
Product Families ◽  
Code Number ◽  
Component Commonality ◽  
Modular Product ◽  
Trade Offs ◽  
Product Function ◽  
Product Concepts

To reach many customers and have a broad range of products at marketable prices companies aim for high commonality across product variants. Commonality is known as the sharing of components by product variants. But using the same components for different product variants can also lead to trade-offs in product function and fulfillment of customer requirements as well as in internal processes. The aim of this paper is to investigate by literature review and a case study on forklift trucks how benefits and trade-offs can be balanced according to corporate needs. Existing tools from the Integrated PKT-Approach for Developing Modular Product Families are applied and advanced in the case study. Practical examples demonstrate that commonality is a gradual property that can be given to variant components as well and that it is influenced by the modular structure and how components are handled as modules in different life phases. New product concepts with enhanced commonality are derived and evaluated by estimating the created lot size caused and code number caused costs.

scholarly journals ALIGNING SOFTWARE PROJECT DECISIONS: A CASE STUDY

2006 ◽  
Vol 16 (06) ◽  
pp. 795-818 ◽  
Author(s):  
AYBÜKE AURUM ◽  
CLAES WOHLIN ◽  
ANDREW PORTER
Keyword(s):  
Business Strategy ◽  
Software Project ◽  
Customer Requirements ◽  
Software Developers ◽  
Industrial Case Study ◽  
Strategic Objectives ◽  
Business Objectives ◽  
Software Products ◽  
Project Level

Recent research in software engineering has highlighted the need to ensure alignment between business objectives, customer requirements and product development. If the business is to meet its strategic objectives, the Requirements Engineering (RE) activities must be executed in a manner such that they support these higher level objectives. A clear alignment between RE activities and the strategic objectives of the organization should underscore the merit of IT investment and the opportunities for competitive advantage that can be pursued as a result by the organization. This research begins with a detailed investigation of the complexity of decision-making during RE activities on business, product and project levels. Secondly, it investigates "in-project" level RE decisions and provides empirical findings from an industrial case study. The findings show that RE project related decisions are influenced by business and product requirements. Although the software developers in this study recognized the importance of developing software products that meet customer requirements and that are aligned with business objectives, they found it difficult to achieve this when the customer was external and the communication was a major problem. A lack of understanding the business strategy and a lack of communication between business, product and project level stakeholders were among the problems that are highlighted by this study.

Agent-based collaborative product design engineering: An industrial case study

2006 ◽  
Vol 57 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Qi Hao ◽  
Weiming Shen ◽  
Zhan Zhang ◽  
Seong-Whan Park ◽  
Jai-Kyung Lee
Keyword(s):  
Product Design ◽  
Design Engineering ◽  
Industrial Case Study ◽  
Agent Based ◽  
Collaborative Product Design

Functional Synthesis of Manufacturing Systems Using Co-Platforming to Minimize Cost of Machines and System Changes

2017 ◽  
Vol 140 (2) ◽  
Author(s):  
Mohamed Abbas ◽  
Hoda ElMaraghy
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
System Level ◽  
Mixed Integer ◽  
Industrial Case Study ◽  
Product Families ◽  
Total Capital ◽  
Total Investment ◽  
The Cost

Manufacturing systems need to be designed to cope with products’ variety and frequent changes in market requirements. Switching between product families in different production periods often requires reconfiguration of the manufacturing system with associated additional cost and interruption of production. A mixed integer linear programing (MILP) model is proposed to synthesize manufacturing systems based on the co-platforming methodology taking into consideration machine level changes including addition or removal of machine axes and changing setup as well as system level changes such as addition or removal of machines. The objective is to minimize the cost of change needed for transition between product families and production periods. An illustrative numerical example and an industrial case study from tier I automotive supplier are used for verification. Finally, the effect of maintaining a common core of machines in the manufacturing system on the total capital and change cost is investigated. It has been demonstrated that synthesizing manufacturing systems designed using the co-platforming strategy reduces the total investment cost including initial cost of machines and cost of reconfiguration.

scholarly journals Digital Twin for Designing and Reconfiguring Human–Robot Collaborative Assembly Lines

2021 ◽  
Vol 11 (10) ◽  
pp. 4620
Author(s):  
Niki Kousi ◽  
Christos Gkournelos ◽  
Sotiris Aivaliotis ◽  
Konstantinos Lotsaris ◽  
Angelos Christos Bavelos ◽  
...  
Keyword(s):  
Production System ◽  
Assembly Lines ◽  
Flexible Assembly ◽  
Digital Twin ◽  
Collaborative Assembly ◽  
Geometrical Information ◽  
Line Level ◽  
Dual Arm ◽  
Different Levels

This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems. The digital twin allows modeling the parameters of the production system at different levels including assembly process, production station, and line level. The approach allows dynamically updating the digital twin in runtime, synthesizing data from multiple 2D–3D sensors in order to have up-to-date information about the actual production process. The model integrates both geometrical information and semantics. The model is used in combination with an artificial intelligence logic in order to derive alternative configurations of the production system. The overall approach is discussed with the help of a case study coming from the automotive industry. The case study introduces a production system integrating humans and autonomous mobile dual arm workers.

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