A balancing problem for mixed model assembly lines with a paced moving conveyor

Zhao, Xuebing; Ohno, Katsuhisa; Lau, Hon‐Shiang

doi:10.1002/nav.10116

Cited by 26 publications

(6 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…oe Therefore, for any station m, sp f m,1 replicate each production cycle naturally without forcing the worker to return to the original starting position. Zhao et al (2004) obtained similar results on straight lines, and called this situation 'steady-state'.…”

Section: Mathematical Formulationsupporting

confidence: 68%

Sequencing minimum product sets on mixed-model U-lines to minimise work overload

Gao

Sun

2012

International Journal of Production Research

View full text Add to dashboard Cite

In a mixed-model assembly line (MMAL), varying models of the same basic product are produced in a facultative sequence. This gives rise to the short-term model sequencing problem, which has to decide on the production sequence of a given number of model copies so that work overload is minimised. Recently, many MMALs have been arranged in 'U-lines', where one operator supervises both the entrance and the exit. This paper addresses the model sequencing problem on a paced mixed-model U-line in a cyclic production environment. Some useful properties of the problem are characterised, and the problem is formulated to minimise the steady-state work overload. A branch-and-bound algorithm is proposed to solve small-sized problems, and a heuristic is proposed for practical-sized problems. Numerical experiments on 540 randomly generated instances show that the proposed heuristic can find near-optimal solutions efficiently.

show abstract

Section: Mathematical Formulationsupporting

confidence: 68%

Sequencing minimum product sets on mixed-model U-lines to minimise work overload

Gao

Sun

2012

International Journal of Production Research

View full text Add to dashboard Cite

show abstract

“…U-shaped lines (e.g., can also provide flexibility to improve a line's efficiency. Another noteworthy extension involves the inclusion of customer-specified product options, generalizing the mixedmodel line-balancing problem for paced production lines (see, e.g., Zhao, Ohno, & Lau, 2004), as a result of the move toward mass customization by many firms. Finally, the potential advantage in unpaced synchronous lines of using dynamic task allocation (Bartholdi & Eisenstein, 1996) discuss "bucket brigade" manufacturing) can be examined for production processes that can take advantage of such a system.…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Designing energy-efficient serial production lines: The unpaced synchronous line-balancing problem

Urban

Chiang

2016

European Journal of Operational Research

View full text Add to dashboard Cite

“…Emde and Gendreau (2017) conducted a computational study of a similar problem with just-in-time material delivery as the objective. Zhao et al (2004) proposed a heuristic approach for solving mixed-model assembly lines with conveyor setup with total overload time as the measure of performance. However, the authors did not consider the task scheduling problems for the conveyor systems.…”

Section: Review On Materials Distribution Systemsmentioning

confidence: 99%

An integrated approach for line balancing and AGV scheduling towards smart assembly systems

Rahman

Janardhanan

Nielsen

2020

View full text Add to dashboard Cite

Purpose Optimizing material handling within the factory is one of the key problems of modern assembly line systems. The purpose of this paper is to focus on simultaneously balancing a robotic assembly line and the scheduling of material handling required for the operation of such a system, a topic that has received limited attention in academia. Manufacturing industries focus on full autonomy because of the rapid advancements in different elements of Industry 4.0 such as the internet of things, big data and cloud computing. In smart assembly systems, this autonomy aims at the integration of automated material handling equipment such as automated guided vehicles (AGVs) to robotic assembly line systems to ensure a reliable and flexible production system. Design/methodology/approach This paper tackles the problem of designing a balanced robotic assembly line and the scheduling of AGVs to feed materials to these lines such that the cycle time and total tardiness of the assembly system are minimized. Because of the combination of two well-known complex problems such as line balancing and material handling and a heuristic- and metaheuristic-based integrated decision approach is proposed. Findings A detailed computational study demonstrates how an integrated decision approach can serve as an efficient managerial tool in designing/redesigning assembly line systems and support automated transportation infrastructure. Originality/value This study is beneficial for production managers in understanding the main decisional steps involved in the designing/redesigning of smart assembly systems and providing guidelines in decision-making. Moreover, this study explores the material distribution scheduling problems in assembly systems, which is not yet comprehensively explored in the literature.

show abstract

A balancing problem for mixed model assembly lines with a paced moving conveyor

Cited by 26 publications

References 29 publications

Sequencing minimum product sets on mixed-model U-lines to minimise work overload

Sequencing minimum product sets on mixed-model U-lines to minimise work overload

Designing energy-efficient serial production lines: The unpaced synchronous line-balancing problem

An integrated approach for line balancing and AGV scheduling towards smart assembly systems

Contact Info

Product

Resources

About