2018
DOI: 10.1007/s10845-018-1406-y
|View full text |Cite
|
Sign up to set email alerts
|

A product configuration approach based on online data

Abstract: Product design is greatly influenced by product configuration processes and can be suspended or result in failure if the configuration process consumes too much time, cost, or resources; such results can also occur if the end products manufactured based on configurations failed to satisfy customers. Therefore, a configuration approach that saves time, cost, and resources, as well as highly satisfies customers, is necessary and significant. Against the background, this study proposes a configuration approach th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
9
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 27 publications
(9 citation statements)
references
References 58 publications
0
9
0
Order By: Relevance
“…Spending time, money, and effort on an organization to produce a failed service or product can harm the business. Jiao and Yang [5] proposed using online transaction data and customer reviews to map customers' requirements to produce product configurations that exceed their expectations. Their method is based on supervised learning, where they initially scrub the transaction data to create all possible configurations.…”
Section: Supervised Learningmentioning
confidence: 99%
See 1 more Smart Citation
“…Spending time, money, and effort on an organization to produce a failed service or product can harm the business. Jiao and Yang [5] proposed using online transaction data and customer reviews to map customers' requirements to produce product configurations that exceed their expectations. Their method is based on supervised learning, where they initially scrub the transaction data to create all possible configurations.…”
Section: Supervised Learningmentioning
confidence: 99%
“…NLP studies use computers to understand text data and human language [4]. Sentiment analysis uses NLP and other areas of machine learning to understand the sentiment behind text data [5]. The category "others" was created to include publications that used different AI techniques or emphasized different techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Hong et al [15] utilized the Genetic Algorithm to obtain optimal configuration given the AND-OR graph for representing a configurable product. Some recent studies concentrated on eliciting customer preferences by using the KANO approach [28], concurrent product and process configuration [29], and configuring products using online review data [30].…”
Section: Product Configurationmentioning
confidence: 99%
“…Schuh et al proposed an optimal product configuration method to balance the benefits and cost growth of enterprise, which are brought by variant products in the configuration process (Schuh, Doelle, and Koch et al 2018). Jiao et al trained intelligent classifier with customer evaluation data to realize the selection of final product configuration scheme (Jiao and Yang 2019). To realize the faster interactive product configuration, Chen et al proposed a top-k solution method based on binary decision diagrams (BDDs) weighting (B J and Feng 2018).…”
Section: Introductionmentioning
confidence: 99%