Assembly line research: Historical roots, research life cycles and future directions

Gagnon, Roger J.; Ghosh, Soumen

doi:10.1016/0305-0483(91)90056-y

Cited by 26 publications

(9 citation statements)

References 152 publications

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“…(A list is available from the authors upon request). Survey articles include Ghosh and Gagnon (1989), Yano and Bolat (1989), Gagnon and Ghosh (1991), Kubiak (1993) and Lima-Fernandes and Groover (1995). Most articles published within the past few years are concerned with determining job sequences to support just-in-time delivery of component parts.…”

Section: Literature Reviewmentioning

confidence: 98%

Balancing mixed-model assembly lines to reduce work overload

Matanachai¹,

Yano²

2001

IIE Transactions

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We propose a new line balancing approach for mixed-model assembly lines with an emphasis on how the assignment of tasks to stations affects the ability to construct daily sequences of jobs (customer orders) that provide stable workloads (in a minute-tominute sense) on the assembly line, while also achieving reasonable workload balance among the stations. The issue of short-term workload stability has received little attention in the assembly line balancing literature. Such stability allows assembly workers to complete their tasks without being rushed and thereby contributes to product quality. We propose a new objective for assembly line balancing that helps to achieve better short-term workload stability and develop a heuristic solution procedure based on filtered beam search for this new objective. Computational results show that for small problems (which can be solved optimally), this approach provides near optimal solutions, and for larger problems, it provides significantly better results than traditional assembly line balancing methods.

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Section: Literature Reviewmentioning

confidence: 98%

Balancing mixed-model assembly lines to reduce work overload

Matanachai¹,

Yano²

2001

IIE Transactions

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“…During the last decade, quite a numerous researches have been conducted for both single and mixed-model line balancing problems Gagnon and Ghosh (1991), Matanachai and Yano (2001) presented well organized literature review for the 1980-1990s developments. For detailed classifications and overviews of recent issues on balancing problems, we refer to Becker and Scholl (2006), Scholl (2007, 2008).…”

Section: Introductionmentioning

confidence: 99%

A goal programming mixed-model line balancing for processing time and physical workload

Choi

2009

Computers & Industrial Engineering

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“…It is widely used in modern industries in order to avoid excessive inventories. Therefore, in the recent decades MMALs have received considerable attention in the academic literature; see, for example, survey articles of Gagnon and Ghosh [10], Lima-Fernandes and Groover [16] and Yano and Bolat [37] (see also Scholl [26] Consequently, in an MMAL, adjacent units on the conveyor usually belong to different models. However, the cycle time is common over all models.…”

Section: Introductionmentioning

confidence: 99%

Modeling and analysis of a mixed‐model assembly line with stochastic operation times

Zhao

Liu

Ohno

et al. 2007

Naval Research Logistics

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Abstract:We consider a mixed-model assembly line (MMAL) comprised a set of workstations and a conveyor. The workstations are arranged in a serial configuration. The conveyor moves at a constant speed along the workstations. Initial units belonging to different models are successively fed onto the conveyor, and they are moved by the conveyor to pass through the workstations to gradually generate final products. All assembling tasks are manually performed with operation times to be stochastic. An important performance measure of MMALs is overload times that refer to uncompleted operations for operators within their work zones. This paper establishes a method to analyze the expected overload times for MMALs with stochastic operation times. The operation processes of operators form discrete time nonhomogeneous Markov processes with continuous state spaces. For a given daily production schedule, the expected overload times involve in analyzing the Markov processes for finite horizon. Based on some important properties of the performance measure, we propose an efficient approach for calculating the expected overload times. Numerical computations show that the results are very satisfactory.

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Assembly line research: Historical roots, research life cycles and future directions

Cited by 26 publications

References 152 publications

Balancing mixed-model assembly lines to reduce work overload

Balancing mixed-model assembly lines to reduce work overload

A goal programming mixed-model line balancing for processing time and physical workload

Modeling and analysis of a mixed‐model assembly line with stochastic operation times

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