Similarity-based Product Configuration

Schuh, Günther; Rudolf, Stefan; Riesener, Michael

doi:10.1016/j.procir.2014.01.056

Cited by 19 publications

(10 citation statements)

References 14 publications

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“…Many pieces of research have been carried out in the field of the product configuration model under Industry 4.0. Schuh et al [37] refined the product configuration process based on the similarities between product variance to increase transparency in order processing and better control the quotation process. Wei et al [28] presented a product requirement modelling and optimization method based on product configuration design.…”

Section: Product Configuration Systemmentioning

confidence: 99%

Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method

et al. 2019

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In the Industry 4.0 environment, the new manufacturing transformation of mass customization for high-complexity and low-volume production is moving forward. Based on cyber-physical system (CPS) and Internet of things (IoT) technology, the flexible transformation of the manufacturing process to suit diverse customer manufacturing requirements is very possible, with the potential to provide digital “make-to-order” (MTO) services with a quick response time. To achieve this potential, a product configuration system, which translates the voice of customers to technical specifications, is needed. The purpose of this study is to propose a methodology for developing a quick-response product configuration system to enhance the communication between the customer and the manufacturer. The aim is to find an approach to receive requests from customers as inputs and generate a product configuration as outputs that maximizes customer satisfaction. In this approach, engineering characteristics (ECs) are defined, and selection pools are initially constructed. Then, quality function deployment (QFD) is modified and integrated with the Kano model to qualitatively and quantitatively analyze the relationship between customer requirements (CRs) and customer satisfaction (CS). Next, a mathematical programming model is applied to maximize the overall customer satisfaction level and recommend an optimal product configuration. Finally, sensitivity analysis is conducted to suggest revisions for customers and determine the final customized product specification. A case study and an OrderAssistant system are implemented to demonstrate the procedure and effectiveness of the proposed quick response product configuration system.

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Section: Product Configuration Systemmentioning

confidence: 99%

Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method

et al. 2019

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“…Du et al 15 defined product configuration model as a product family abstracted from the perspective of product configuration. Schuh et al 16 defined the product configuration model as a description of parts or modules that may appear in the configuration result as well as their correlations. They proposed the GBOM-based product configuration model.…”

Section: Configuration Modelingmentioning

confidence: 99%

“…Schuh et al. 16 defined the product configuration model as a description of parts or modules that may appear in the configuration result as well as their correlations. They proposed the GBOM-based product configuration model.…”

Section: Literature Reviewmentioning

confidence: 99%

Module division and configuration modeling of CNC product–service system

Sheng

Liu

Song

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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Product-service system is a new globally optimized production system with high-degree integration of product and service, which is formed under the product lifecycle management thinking of manufacturing enterprises. This paper applies the modular design method in the development of CNC product-service system and studies the module division and configuration modeling method oriented to configuration design process. First, a service module division method based on design structure matrix is proposed, and the relationship of service activities is established through directed graph and the module division of service activities is determined by calculating reachable matrix. Next, the productservice integration strategy is analyzed, the product-service integration model is built, and the organic integration of product and services is achieved. Then, the meaning of configuration model of product-service system is introduced and the configuration model is established. At last, the economical turning center is selected as an example of CNC to implement the module division and configuration modeling of CNC product-service system and to verify the feasibility of proposed methods.

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“…The company uses the program because it has the advantage of being able to make products with complicated designs. [2] CNC program (Computer Numerical Control) can produce various types of work, such as cutting, drilling, with the right precision and excellent results. this greatly facilitates the work process and shortens time.…”

Section: Introductionmentioning

confidence: 99%

Automated generation of CNC programs for manufacturing: A Review

Perkasa¹

2020

J. Mech. Sci. Eng.

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A configuration system for a product and model requires a parametric design. Where the system is made first, the first thing that needs to be done is the determination of the model. In this journal will discuss the configuration model that is the application of parametric design methods in the MTO environment. CNC program, the result is a variant of a product with good quality so that it can increase the production quantity. High potential short production time costs incurred a little and increase profits. CNC programs are made with various parameters then proceed with a product configuration system that will automatically run in the CNC program.

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Similarity-based Product Configuration

Cited by 19 publications

References 14 publications

Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method

Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method

Module division and configuration modeling of CNC product–service system

Automated generation of CNC programs for manufacturing: A Review

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