A Review of the Expansion and Integration of Production Line Balancing Problems: From Core Issues to System Integration.

Adilanmu Sitahong, Zheng Lu, Yiping Yuan, Peiyin Mo, Junyan Ma

Abstract readReview

In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Adilanmu SitahongSchool of Mechanical Engineering, Xinjiang University, Urumqi 830047, China.

Zheng LuCollege of Civil Engineering and Architecture, Xinjiang University, Urumqi 830047, China.

Yiping YuanSchool of Mechanical Engineering, Xinjiang University, Urumqi 830047, China.

Peiyin MoSchool of Mechanical Engineering, Xinjiang University, Urumqi 830047, China.

Junyan MaSchool of Energy Engineering, Xinjiang Engineering University, Urumqi 830023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Line Balancing Problem (LBP) is a classic optimization topic in production management, aiming to improve efficiency through task allocation. With the transformation of the manufacturing industry towards intelligence, customization, and sustainability, its research scope has been significantly expanded. This study systematically reviews the recent research progress and proposes the C|H|V|E framework to analyze the LBP in four dimensions: (i) extension of the core line problem; (ii) horizontal integration with shop-floor decision-making; (iii) vertical coordination with enterprise-level operations; and (iv) extension of the value from efficiency improvement to sustainability and resilience enhancement. The review focuses on emerging trends, including artificial intelligence and data-driven approaches, digital twin-based optimization, flexible human-machine collaboration, and system integration across the lifecycle and circular economy. This paper provides a systematic overview of the current state of LBP research and explains how it continues to expand its boundaries by incorporating knowledge from new fields.

Indexed as

design for manufacturingdigital twinhuman-robot collaborationline balancingsmart manufacturing

Identifiers

PMID41157391

DOI10.3390/s25206337

PMCPMC12567955

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.