A Parallel Permutation Flow-Shop Scheduling Model by Using a Two-Step Evolutionary Algorithm to Minimize Intermediate Storage with Tolerable Maximum Completion Time (doi:10.34820/FK2/XWCBMV)

View:

Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

A Parallel Permutation Flow-Shop Scheduling Model by Using a Two-Step Evolutionary Algorithm to Minimize Intermediate Storage with Tolerable Maximum Completion Time

Identification Number:

doi:10.34820/FK2/XWCBMV

Distributor:

Telkom University Dataverse

Date of Distribution:

2023-10-05

Version:

1

Bibliographic Citation:

DARU KUSUMA, PURBA, 2023, "A Parallel Permutation Flow-Shop Scheduling Model by Using a Two-Step Evolutionary Algorithm to Minimize Intermediate Storage with Tolerable Maximum Completion Time", https://doi.org/10.34820/FK2/XWCBMV, Telkom University Dataverse, V1

Study Description

Citation

Title:

A Parallel Permutation Flow-Shop Scheduling Model by Using a Two-Step Evolutionary Algorithm to Minimize Intermediate Storage with Tolerable Maximum Completion Time

Identification Number:

doi:10.34820/FK2/XWCBMV

Authoring Entity:

DARU KUSUMA, PURBA (fakultas teknik elektro - rekayasa komputer)

Distributor:

Telkom University Dataverse

Access Authority:

DARU KUSUMA, PURBA

Depositor:

DARU KUSUMA, PURBA

Date of Deposit:

2022-04-12

Study Scope

Keywords:

Engineering, scheduling

Abstract:

A Parallel Permutation Flow-Shop Scheduling Model by Using a Two-Step Evolutionary Algorithm to Minimize Intermediate Storage with Tolerable Maximum Completion Time

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Other Study-Related Materials

Label:

ijies_published_parallelflowshop.pdf

Notes:

application/pdf