Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm (doi:10.34820/FK2/APKG5I)

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Document Description

Citation

Title:

Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm

Identification Number:

doi:10.34820/FK2/APKG5I

Distributor:

Telkom University Dataverse

Date of Distribution:

2022-07-14

Version:

1

Bibliographic Citation:

Purba Daru Kusuma, 2022, "Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm", https://doi.org/10.34820/FK2/APKG5I, Telkom University Dataverse, V1

Study Description

Citation

Title:

Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm

Identification Number:

doi:10.34820/FK2/APKG5I

Authoring Entity:

Purba Daru Kusuma (Telkom University)

Distributor:

Telkom University Dataverse

Access Authority:

DARU KUSUMA, PURBA

Depositor:

DARU KUSUMA, PURBA

Date of Deposit:

2022-07-14

Study Scope

Keywords:

Computer and Information Science

Abstract:

This work aims to develop a novel batch scheduling model for a collaborative multi-product flow shop system. Its objective is to minimize make-span and total production cost. This model is developed by using non-dominated sorting genetic algorithm (NSGA II) which is proven in many multi objective optimization models

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Data Access

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CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

Purba Daru Kusuma, "Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm", International Journal of Advanced Computer Science and Applications, 12(9), 349-357, 2021.

Other Study-Related Materials

Label:

Paper_39-Multi_objective_Batch_Scheduling.pdf

Notes:

application/pdf