A job-shop scheduling optimisation model to reduce work-in-process inventory and machine setup time: a case study in a plastic packaging manufacturing

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Publication Details

Journal
International Journal of Applied Decision Sciences
Published
2026-06-29
DOI
https://doi.org/10.1504/ijads.2027.10079410
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

A job-shop scheduling optimisation model to reduce work-in-process inventory and machine setup time: a case study in a plastic packaging manufacturing

Đoàn Thị Yến Nhi, Hong Phuc Nguyen, Dang Ky Tan
International Journal of Applied Decision Sciences
Scheduling and Optimization Algorithms
article

A job-shop scheduling optimisation model to reduce work-in-process inventory and machine setup time: a case study in a plastic packaging manufacturing

Đoàn Thị Yến Nhi, Hong Phuc Nguyen, Dang Ky Tan
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Applied Decision SciencesVol. 1(1)
Openalex Percentile: Top 8%
Scheduling and Optimization Algorithms
DOISourceOpenAlex
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A job-shop scheduling optimisation model to reduce work-in-process inventory and machine setup time: a case study in a plastic packaging manufacturing — Đoàn Thị Yến Nhi, Hong Phuc Nguyen, et al. · International Journal of Applied Decision Sciences (2026) | TGRS Research Map | TGRS