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Proposed composite similarity metric method for part family formation in reconfigurable manufacturing system

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Abstract

Reconfigurable manufacturing system (RMS) characteristics can tackle problems that arise from changing market conditions and provide support system that effectively respond to market uncertainty. Customization, or limiting the system’s flexibility to the considered part family, is one of the RMS’s characteristics. As a result, part clustering is vital to the development of an RMS implementation. In this paper, to determine the similarity coefficient for RMS part family formation, a composite similarity metric (CSM) is presented. Three similarity measures such as operation sequence similarity, demand similarity, and reconfiguration effort between considered parts are evaluated. The proposed method is executed with illustration for part family formation. MultiCriteria decision-making approaches are used to determine the optimal part reconfiguration sequence. To exemplify the capabilities of the proposed CSM, a case study is presented, and the results are compared with existing method. The proposed CSM approach for part family formation performs better in terms of discrimination capability.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Code availability

Custom code is available from the corresponding author on reasonable request.

Abbreviations

RMS:

Reconfigurable manufacturing system

FMS:

Flexible manufacturing system

CSM:

Composite similarity metric

ALC:

Average linkage clustering

SAW:

Simple additive method

TOPSIS:

Technique for Order of Preference by Similarity to Ideal Solution

MOORA:

MultiObjective Optimization based on Ratio Analysis

MCDM:

MultiCriteria decision-making

RMT:

Reconfigurable machine tool

LCS:

Longest common sequence

SCS:

Shortest composite subsequence

ALC:

Average linkage clustering

AHP:

Analytical hierarchy process

BMIM:

Bypassing moves and idle machines

OS:

Operation sequence similarity

DS:

Demand similarity

RE:

Reconfiguration effort

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  1. Mechanical Engineering Department, Walchand College of Engineering, Vishrambag, Sangli, 416415, Maharashtra, India

    Rutuja Shivdas & Sagar Sapkal

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  1. Rutuja Shivdas
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  2. Sagar Sapkal
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Correspondence to Rutuja Shivdas.

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Shivdas, R., Sapkal, S. Proposed composite similarity metric method for part family formation in reconfigurable manufacturing system. Int J Adv Manuf Technol 125, 2535–2548 (2023). https://doi.org/10.1007/s00170-023-10849-9

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