Flexible Flowshop Design in Cellular Manufacturing Systems

Almasarwah, Najat; Süer, Gürsel A.

doi:10.1016/j.promfg.2020.01.380

Cited by 9 publications

(6 citation statements)

References 20 publications

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“…Last but not least, the results of the design of experiments demonstrate that factors such as the number of sub-lots, the number of machines, and the number of stages are crucially important when designing a manufacturing environment with a hybrid flowshop setting. This finding is also supported by studies in the academic literature [3,34,65].…”

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confidence: 82%

Comparison of lot streaming division methodologies for multi-objective hybrid flowshop scheduling problem by considering limited waiting time

Yılmaz,

Yeni

2024

JIMO

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In this paper, a multi-objective hybrid flowshop scheduling problem (HFSP) with limited waiting time and machine capability constraints is addressed. Given its importance, the implementation of lot streaming division methodologies with the problem is investigated through a design of experiment (DoE) setting based on real data extracted from a leading tire manufacturer in Gebze, Turkey. By doing so, specific characteristics of the addressed HFSP can be further explored to provide insights into its complexity and suggest recommendations for improving the operational efficiency of such systems resembling it. Based on the problem specifications and constraints, a novel generic multi-objective optimization model with objectives including the makespan, the average flow time, and the total workload imbalance is formulated. Since the studied problem is NP-hard in the strong sense, several algorithms based on the non-dominated sorting genetic algorithm-II (NSGA-II) are proposed according to the division methodologies, i.e., consistent sublots and equal sublots. Since the main aim of this problem is to further analyze the implementation of lot streaming on the HFSP problem, the developed algorithms are compared with each other to gain remarkable insights into the problem. Four different comparison metrics are employed to assess the solution quality of the proposed algorithms in terms of intensification and diversification aspects. Computational results demonstrate that employing the consistent sublot methodology leads to significant improvements in all metrics compared to the equal sublot methodology.

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supporting

confidence: 82%

Comparison of lot streaming division methodologies for multi-objective hybrid flowshop scheduling problem by considering limited waiting time

Yılmaz,

Yeni

2024

JIMO

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“…Each stage behaves as a bank of parallel machines; at each stage, any job requires to be processed by only one machine, and any machine can be used. The queues between the various stages may or may not operate according to the FIFO discipline: Almasarwah and Süer (2019), Lei et al. (2020), and Hasani and Hosseini (2020).…”

Section: An Overview Of Shop Scheduling Problems Characteristicsmentioning

confidence: 99%

Shop scheduling in manufacturing environments: a review

Márquez

Ribeiro

2022

Int Trans Operational Res

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We review the literature about shop scheduling problems in manufacturing systems, revealing the concepts and methodologies that most impact the usage of scheduling theory in manufacturing environments. We focus our attention on the job shop and flow shop problems and their variants. We emphasize the interactions between the scheduling functions and manufacturing paradigms such as Industry 4.0, Computer Integrated Manufacturing, Computer‐Aided Process Planning, Advanced Planning and Scheduling, and Integrated Process Planning and Scheduling. We describe the main components and characteristics of the scheduling ecosystem, and we discuss how the scheduling interacts with the components that make it up and how it is affected by them. The metadata collected from the digital libraries on which the review was based (ScienceDirect, Scopus, and Elsevier) made it possible to characterize the historical evolution of the main concepts of the scheduling ecosystem in terms of scientific publications and research trends in the period 2000–2020.

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“…In manufacturing systems, operations must follow a route that involves the use of resources. According to [16] products are processed through a series of production stages and the number of machines is different from one stage to another, some stages have only one machine, while others have more than one. As organizations grow and expand to meet their demand, they tend to have increasingly complex manufacturing operations [6], varying their structure from Flow shop (FS) to Hybrid (H) environment, according to [17] the more complexity exist in the systems, factories seek to expand their production capacity, acquiring additional parallel machines in each of the stages, transforming the flow line system to a hybrid flow line.…”

Section: Structural Modeling Of Systemsmentioning

confidence: 99%

“…As organizations grow and expand to meet their demand, they tend to have increasingly complex manufacturing operations [6], varying their structure from Flow shop (FS) to Hybrid (H) environment, according to [17] the more complexity exist in the systems, factories seek to expand their production capacity, acquiring additional parallel machines in each of the stages, transforming the flow line system to a hybrid flow line. Figure 1 shows a schematic view of the FS structure in comparison with the H [16].…”

Section: Structural Modeling Of Systemsmentioning

confidence: 99%

Modeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments

Vidal

Hernández

Minnaard

2021

Int J Adv Manuf Technol

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In manufacturing systems, there are environments where the elaboration of a product requires a series of sequential operations, involving the configuration of machines by stages, intermediate buffer capacities, definition of assembly lines and routing of parts. The objective of this research is to develop a modeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments. The methodological approach starts with the structural modeling, then the measurement of the complexity in the systems is developed, the hypotheses are proposed and finally an experimental and factorial statistical analysis is developed. The results obtained corroborate the hypotheses proposed, where statistically the structural design factors and the variation of production time per stage have a significant influence on the response variable associated to the total complexity. Similarly, there is evidence of correlation between the performance indicators and the variable studied, in which the incidence with production costs stands out.

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Flexible Flowshop Design in Cellular Manufacturing Systems

Cited by 9 publications

References 20 publications

Comparison of lot streaming division methodologies for multi-objective hybrid flowshop scheduling problem by considering limited waiting time

Comparison of lot streaming division methodologies for multi-objective hybrid flowshop scheduling problem by considering limited waiting time

Shop scheduling in manufacturing environments: a review

Modeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments

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