Product concept generation and selection using sorting technique and fuzzy c-means algorithm

Yan, Wei; Chen, Chun‐Hsien; Shieh, Meng-Dar

doi:10.1016/j.cie.2006.05.003

Cited by 30 publications

(10 citation statements)

References 31 publications

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“…특히, 서비스 컨셉 평가에서 AHP의 유용성은 기존의 다양한 연구들을 통해 입증되었으 며 [10][11][12], AHP를 확장시킨 ANP도 최근에 서비스 컨셉 평가에 널리 활용되고 있다 [13]. 택배업체 선정 [14,15], 3자 물류업체 선정 …”

Section: 최적 서비스모델 선정을 위한 평가 방법unclassified

A Comparison Study on the Parcel Transport Service Model-using High-Speed Passenger/Freight Mixed Train

Yum¹,

Ha²,

Lee³

2015

Journal of the Korean society for railway

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서 론첨단Abstract Reliance on road transport in domestic logistics can lead to intensified congestion and greenhouse gas emissions due to the rise in oil prices, any increase in logistics costs can have a high social cost. The government policy on Low Carbon Green Growth is seeking to take advantage of the railway system. However, existing railway transport logistics systems, for reasons such as low speed, low track capacity constraints, and the impossibility of implementing a Door to Door system, make it difficult to activate a railway logistics program. As a result of this study, a national R&D project to develop a High-Speed Passenger/Baggage Mixed Train(Hy-SoBex) utilizing the rail capacity constraints to overcome the difficulties of linking an air cargo and freight railway logistics system, we propose a variety of service models and select the optimal service model.

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Section: 최적 서비스모델 선정을 위한 평가 방법unclassified

A Comparison Study on the Parcel Transport Service Model-using High-Speed Passenger/Freight Mixed Train

Yum¹,

Ha²,

Lee³

2015

Journal of the Korean society for railway

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“…Although the �nal version of the FCM algorithm was introduced by Bezdek, the origins of the algorithm are traced back to Dunn [15]. Aerwards, several studies have used the FCM algorithm in many engineering �elds such as partmachine grouping in cellular manufacturing [16], image segmentation [17,18], new product development (NPD) [19], health sector [20], geology [21], data envelopment analysis [22], business [23], and so on. In the case of the well-separated data group, the hard clustering approach can be a natural solution.…”

Section: Fuzzy C-means (Fcm) Algorithmmentioning

confidence: 99%

Multiple Criteria ABC Analysis with FCM Clustering

Keskin

Özkan

2013

Journal of Industrial Engineering

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The number of stock keeping units (SKUs) possessed by organizations can easily reach quite a few. An inventory management policy for each individual SKU is not economical to design. ABC analysis is one of the conventionally used approaches to classify SKUs. In the classical method, the SKUs are ranked with respect to the descending order of the annual dollar usage, which is the product of unit price and annual demand. The few of the SKUs that have the highest annual dollar usage are in group A and should be taken into account mostly; the SKUs with the least annual dollar usage are in group C and should be taken into account least; the remaining SKUs are in group B. In this study, we proposed fuzzy c-means (FCM) clustering to a multicriteria ABC analysis problem to help managers to make better decision under fuzzy circumstancse. The obtained results show that the FCM is a quite simple and an easily adaptable method to inventory management.

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“…A number of methods have been introduced and employed for concept selection (Yan, Chen, & Shieh, 2006). King and Sivaloganathan (1999) defined five types of concept selection methods: utility theory, analytic hierarchy process (AHP), graphical tools such as matrices, quality function deployment (QFD), and fuzzy logic.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and management of new service concepts: An ANP-based portfolio approach

Lee

Kim

Park

2010

Computers & Industrial Engineering

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Product concept generation and selection using sorting technique and fuzzy c-means algorithm

Cited by 30 publications

References 31 publications

A Comparison Study on the Parcel Transport Service Model-using High-Speed Passenger/Freight Mixed Train

A Comparison Study on the Parcel Transport Service Model-using High-Speed Passenger/Freight Mixed Train

Multiple Criteria ABC Analysis with FCM Clustering

Evaluation and management of new service concepts: An ANP-based portfolio approach

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