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A method for product platform planning based on pruning analysis and attribute matching

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Abstract

Product platform planning can greatly support product variant design, which is of great help to the implementation of mass customization (MC). In most of product platform planning methods, product modules and product families have been usually preplanned before products are designed, which would not make full use of the existing product resources. In this paper, we propose a method for product platform planning using the existing product data in product lifecycle management (PLM) database. The proposed method introduces two key technologies, i.e., pruning analysis and attribute matching. The pruning analysis is used to find out the sharing parts of different product families, which constitutes the basic framework of product platform; the attribute matching is used to classify product modules into different categories according to their sharing degrees, which reveals the relationships of different product modules and forms the association rules of product platform. The effectiveness of the proposed method is verified by the product data in the PLM database of a valve company. The proposed method greatly improves the reuse rate of existing product resources, providing an effective and fast way for enterprises to implement the MC strategy.

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Abbreviations

PLM:

Product lifecycle management

MC:

Mass customization

BOM:

Bill of material

PST:

Product structure tree

PFSTs:

Product family structure trees

BM:

Basic module

MuM:

Must-selected module

MaM:

May-selected module

PrM:

Private product module

FSM:

Families sharing product module

SSM:

Series sharing product module

GSM:

Global sharing product module

LCISF:

Longest consecutive identical structure segment from the first node

\(P^{m}\) :

Product series \(m, m\in N^{+}\)

\(PF_{Ni}^{i}\) :

Product family \(N_{i}\) of product series \(P^{i}, N_i \in N^{+}\)

N :

The total number of product family in an enterprise

\(Tr_{Nk}^{k}\) :

Product family structure tree \(N_{k}\), of product series \(P^{k}\)

\(Ta_{Nk}^{k}\) :

Product structure chain table \(N_{k}\), of product series \(P^{k}\)

\(Tr_{\mathrm{min}}\) :

Minimum structure tree

\(L_{n}\) :

Structure chain \(n, n\in N^{+}\)

\(f_{n}\) :

The code of function \(n, n\in N^{+}\)

\(M_{n}^{i}\) :

Product module n of product series \(P^{i}\)

\(PrM^{i}\) :

The PrMs of product series \(P^{i}\)

\(FSM^{i}\) :

The FSMs of product series \(P^{i}\)

\(SSM^{i}\) :

The SSMs of product series \(P^{i}\)

\(F_{i}\) :

The function code of product module \(M_{i}\)

S / F / P :

The structure/function/process parameter of a product module

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Acknowledgements

Funding was provided by National Natural Science Foundation of China (Grant no. 51275362), National Science and Technology Major Projetcs (Grant no. 2014ZX04015021).

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Authors and Affiliations

  1. School of Power and Mechanical Engineering, Wuhan University, Wuhan, 430072, China

    Qiuhua Zhang, Weiping Peng, Jin Lei, Junhao Dou, Xiangyang Hu & Rui Jiang

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  1. Qiuhua Zhang
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  2. Weiping Peng
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  3. Jin Lei
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  4. Junhao Dou
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  5. Xiangyang Hu
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Correspondence to Jin Lei.

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Zhang, Q., Peng, W., Lei, J. et al. A method for product platform planning based on pruning analysis and attribute matching. J Intell Manuf 30, 1069–1083 (2019). https://doi.org/10.1007/s10845-017-1305-7

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