A new cellular manufacturing layout: Multi-floor linear cellular manufacturing layout

Zhao, Yanlin; Lu, Jiangang; Yi, Wenchao

doi:10.1177/1729881420925300

Cited by 8 publications

(3 citation statements)

References 19 publications

(43 reference statements)

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“…Rahimi et al [33] considered CF, intercellular layout, and cell scheduling problems for CMSs. Zhao et al [34] proposed a new layout methodology for the multifoor linear cellular manufacturing layout and a mathematical model. Neufeld et al [35] pointed out several characteristics that specify the distinctiveness of cell scheduling.…”

Section: Literature Review Related To Clpsmentioning

confidence: 99%

A New Mathematical Model for Cell Layout Problem considering Rotation of Unequal Dimensions of Cells and Machines

Alamiparvin,

Mehdizadeh,

Soleimani

2024

Complexity

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One of the main concepts in group technology (GT) is the cellular manufacturing system (CMS) with three main problems of cell formation (CF), cell layout (CL), and cell scheduling (CS). This paper studies the cell layout problem (CLP), aiming to find the optimal layout of machines within each cell (intracellular layout) and the optimal layout of cells in each workshop (intercellular layout). To adapt to reality, the dimensions of the cells and machines (inside each cell) were considered unequal, and also the cells and machines could rotate. We believe that a cellular layout that assumes unequal dimensions of the cells and machines can be used for batch production. This kind of production has a wide variety of low to medium demand. Furthermore, a cellular layout can be applied in CMSs and also in noncontinuous industries that have a job shop layout. Our main contribution is considering the possibility of rotating the cells and machines inside the cells. For this purpose, a mixed nonlinear programming model was developed to solve the CLP with the minimum cost of intracellular and intercellular material flows. The proposed nonlinear model was first converted into a linear model, and then a problem was generated and solved with GAMS software to validate the resulting linear model. This model finds the best layout of cells within the workshop and the best layout of machines inside each cell. Then, because of the NP-hardness of the CLP and the fact that even exact methods cannot solve large-scale examples in an acceptable computational time, an imperialist competitive algorithm (ICA) was designed and used to solve the problem. To evaluate the efficiency of the proposed algorithm, its numerical results in small dimensions were compared with the results of GAMS software. In large dimensions, 30 random problems were created, and the results of ICA were compared with the results of the particle swarm optimization (PSO) algorithm and genetic algorithm (GA). Finally, the parameters of the three meta-heuristic algorithms were set by the Taguchi method. Numerical results indicated that ICA was superior to both the PSO algorithm and GA. It could also achieve efficient solutions in a shorter computational time.

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Section: Literature Review Related To Clpsmentioning

confidence: 99%

A New Mathematical Model for Cell Layout Problem considering Rotation of Unequal Dimensions of Cells and Machines

Alamiparvin,

Mehdizadeh,

Soleimani

2024

Complexity

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“…Therefore, the humidity and fertility detection system based on single-chip microcomputer is of great significance to solve these problems [3,4] . In order to make full use of scientific cultivation technology, there must be a set of scientific and advanced management methods for real-time monitoring of soil moisture and fertility required by different types of plants in various stages of growth [5][6][7] . The development of single-chip microcomputer has found a breakthrough for us to solve this problem.…”

Section: Introductionmentioning

confidence: 99%

Design of soil moisture and fertility detection system

Zhao

Meng²

2022

International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022)

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With the continuous development of agricultural informatization and mechanized high-tech, the degree of agricultural automation is increasing. The single-chip microcomputer equipment has many advantages such as diverse functions, simple circuits, and low cost, and has broad market prospects. Therefore, the measurement of soil moisture and fertility based on single-chip microcomputers can be widely used in the market. This design is the design of soil moisture and fertility detection system. The system uses STC89C52 microcontroller as the control center of the system, uses the YL69 humidity sensor as the soil humidity sensor module, uses the JXBS-3001-NPK soil nitrogen, phosphorus and potassium three-in-one fertility sensor as the soil nitrogen, phosphorus and potassium sensor module, and uses LCD12864 The display is used as the display module of the system, the buzzer is used as the notification module, and the button module is used to set the upper and lower limit values of the preset value of soil moisture and fertility. The soil moisture signal is collected through the YL-69 humidity sensor, the soil fertility signal is collected through the JXBS-3001-NPK soil nitrogen, phosphorus and potassium three-in-one fertility sensor, and the single chip STC89C52 processes the signal and outputs the control signal to control the Buzzer sounds. At the same time, the single-chip microcomputer sends the data that is not within the range of our preset value to the display screen to make a mark.

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“…The results suggest that the SLP method is only limited to the local optimization of the physical entities, and fails to the interconnection of other production systems in the workshop. To address this issue, an intelligent algorithm is supplied to integrate and communicate information between upper and lower layers [17][18][19] . At present, the most popular intelligent algorithm used as the layout optimization of the industrial workshop is artificial bee colony (ABC) algorithm.…”

Section: Introductionmentioning

confidence: 99%

Construction of intelligent integrated model framework for the workshop manufacturing system via digital twin

Zhang

Zhu

Zhang

et al. 2021

Int J Adv Manuf Technol

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With the drastic development of the globally advanced manufacturing industry, transition of the original production pattern from traditional industries to advanced intelligence is completed with the least delay possible, which are still facing new challenges. Because the timeliness, stability and reliability of them is significantly restricted due to lack of the real-time communication. Therefore, an intelligent workshop manufacturing system model framework based on digital twin is proposed in this paper, driving the deep inform integration among the physical entity, data collection, and information decision-making. The conceptual and obscure of the traditional digital twin is refined, optimized, and upgraded on the basis of the four-dimension collaborative model thinking. A refined nine-layer intelligent digital twin model framework is established. Firstly, the physical evaluation is refined into entity layer, auxiliary layer and interface layer, scientifically managing the physical resources as well as the operation and maintenance of the instrument, and coordinating the overall system. Secondly, dividing the data evaluation into the data layer and the processing layer can greatly improve the flexible response-ability and ensure the synchronization of the real-time data. Finally, the system evaluation is subdivided into information layer, algorithm layer, scheduling layer, and functional layer, developing flexible manufacturing plan more reasonably, shortening production cycle, and reducing logistics cost. Simultaneously, combining SLP and artificial bee colony are applied to investigate the production system optimization of the textile workshop. The results indicate that the production efficiency of the optimized production system is increased by 34.46%.

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A new cellular manufacturing layout: Multi-floor linear cellular manufacturing layout

Cited by 8 publications

References 19 publications

A New Mathematical Model for Cell Layout Problem considering Rotation of Unequal Dimensions of Cells and Machines

A New Mathematical Model for Cell Layout Problem considering Rotation of Unequal Dimensions of Cells and Machines

Design of soil moisture and fertility detection system

Construction of intelligent integrated model framework for the workshop manufacturing system via digital twin

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