Sustainability Formation of Machine Cells in Group Technology Systems Using Modified Artificial Bee Colony Algorithm

Arunagiri, A.; Uthayakumar, M.; Gopalakrishnan, Prabhakaran; Słota, Adam; Zając, Jerzy; Paulraj, Maheandera Prabu

doi:10.3390/su10010042

Cited by 7 publications

(6 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optimal TMD parameters can be calculated via a GA search. However, for the parameters optimization of vehicle-bridge-TMD system, the GA algorithm still has the problem of low computational efficiency [27, 28].…”

Section: Traditional Numerical Optimization Methods Of Tmd System Parmentioning

confidence: 99%

Study on optimization algorithm of tuned mass damper parameters to reduce vehicle-bridge coupled vibration

Liu

2019

PLoS ONE

View full text Add to dashboard Cite

A vehicle-bridge tuned mass damper (TMD) coupled dynamic analysis and vibration-control model was established to optimize TMD damping effects on a steel-box girder bridge bearing vehicle loads. It was also used to investigate optimization efficiency of different algorithms in TMD design parameters. This model simulated bridges and vehicles with the use of a 7 degrees of freedom curved-beam element model and a 7 degrees of freedom vehicle model, respectively. The TMD system was simulated with the use of multiple rigid-body systems linked with springs and dampers. Road surface condition, as a vibration source, was simulated with the use of a frequency equivalent method based on a power spectrum. A variably-accelerated pattern search algorithm was proposed in line with the initial TMD parameters calculated by Den Hartog formula. Visual software was compiled by Fortran and used for an optimization study of vibration reduction. A three-span, curved, continuous steel-box girder bridge was used as the numerical example. Optimized effects and computational efficiency of vibration reduction under different methods were compared. The comparison included a single variable optimization based on Den Hartog formula, an ergodic search method, an integer programming method, a traditional genetic algorithm, a traditional pattern search algorithm, and a variably-accelerated pattern search algorithm. The results indicate that variably-accelerated pattern search algorithm is more efficient at improving TMD optimal parameter design. Final TMD parameter optimization values obtained by different methods are quite close to each other and tends verify the reliability of the optimization results.

show abstract

Section: Traditional Numerical Optimization Methods Of Tmd System Parmentioning

confidence: 99%

Study on optimization algorithm of tuned mass damper parameters to reduce vehicle-bridge coupled vibration

Liu

2019

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The job sequence, part volume, inter-cell movement cost, job production cost, and the alternative process plans were [4] used in the proposed similarity coefficient-based heuristic method for CM. The cell formation [5] was done, and also achieved the minimisation of the cumulative cell load variation and cumulative inter-cellular moves. The number of parts, operation sequences, processing time, the capacity of machines, and workload of the machinery were considered as parameters.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For parts, compute the similarity coefficient between parts x, y (for forming part family) using equation (5). SCxy = 1 if x = y;…”

Section: A Complete Similarity Measure Weight-based Algorithmmentioning

confidence: 99%

Cellular Manufacturing Layout Design Using Heuristic Clustering Algorithm and LPP Model

Ramesh

Arunkumar

Vijayaraj³

2021

SAJIE

View full text Add to dashboard Cite

This mathematical model forms machine cells, optimises the costs of unassigned machines and components, and designs the shop floor cell layout to have minimal movement of materials. The complete similarity measure algorithm forms machine cells and part families in a refined form. Later, exceptional elements are eliminated in the optimisation model by using machine duplication and sub-contracting of parts. Then the shop floor layout is designed to have optimised material movements between and within cells. An evaluation of the cell formation algorithm’ performance is done on the benchmark problems of various batch sizes to reveal the process’s capability compared with other similar methods. The data of machining times are acquired and tabulated in a part incidence matrix, which is used as input for the algorithm. The results from the linear programming optimisation model are that costs are saved, machines are duplicated, parts are sub-contracted, and there are inter- and intra- cellular movements. Finally, the output of the inbound facility design is the floor layout, which has machine cell clusters within the optimised floor area.

show abstract

“…It commenced with the definition of a normalized decision matrix (using Equation (6)) as evident in Table 10. Subsequently, the best values (v j + ) in the normalized decision matrix were determined by employing Equations (7) and (8). The result for each criterion is shown in Table 11.…”

Section: Vikor Applicationmentioning

confidence: 99%

“…Several advantages, such as high responsiveness, enhanced flexibility, higher productivity, reduced labor requirements, and work-in-process, etc., are associated with RMSs. Similarly, the CMS involves the implementation of group technology (GT) for the generation of production cells within which many part families can be produced [6,7]. Despite its numerous benefits, CMS is quite inflexible in meeting the variable part designs and quantities, as well as individual cells, becoming ineffective when new parts are entered into the part family.…”

Section: Introductionmentioning

confidence: 99%

Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing

et al. 2019

View full text Add to dashboard Cite

The manifestation of new part designs and continuously changing market demands as well as the requirements of new functions and technologies often results in higher material cost, lesser machine utilization, and extensive wastage of energy. As a consequence, companies across the world are striving for sustainable manufacturing, which can ensure flexibility as well as adaptability, with higher productivity and lesser wastage of resources. The dynamic and competitive nature of the world market emphasizes the importance of economically sustainable setups, such as reconfigurable cellular manufacturing systems (RCMSs). Indeed, among several cutting-edge strategies, the RCMS is the most prominent owing to its versatility, rationality, and resilience. However, one of the limitations associated with RCMS is the evaluation and selection of the best configuration that can meet abrupt changes and achieve manufacturing sustainability. Therefore, organizations intending to reconfigure have to address the issue of evaluating all possible alternatives and selecting the best one using a well-defined methodology. This paper focuses on evaluating and finding the best configuration using multi-criteria decision-making (MCDM) approaches depending on PROMETHEE and VIKOR. The fuzzy analytic hierarchy process (FAHP) is utilized to compute the weights of various criteria because it also considers any uncertainty and vagueness existing in the problem. The assessing attributes in this study are selected by keeping in mind the objective of sustainable manufacturing. The two MCDM methods are utilized for ranking different configurations to ascertain the results obtained from the other. The study accomplished in this paper is related to manufacturing setups that need to be reconfigured. The number of manufacturing configurations is determined, and simulation models are established for each configuration. The simulation outcomes are examined using the FAHP-PROMETHEE and FAHP-VIKOR to assess the appropriateness of each configuration depending on the identified performance measures. The results of the experiments show the importance of employing MCDM in RCMS to achieve sustainable manufacturing and determining the most effective setup.

show abstract

Sustainability Formation of Machine Cells in Group Technology Systems Using Modified Artificial Bee Colony Algorithm

Cited by 7 publications

References 45 publications

Study on optimization algorithm of tuned mass damper parameters to reduce vehicle-bridge coupled vibration

Study on optimization algorithm of tuned mass damper parameters to reduce vehicle-bridge coupled vibration

Cellular Manufacturing Layout Design Using Heuristic Clustering Algorithm and LPP Model

Strategic Outcome Using Fuzzy-AHP-Based Decision Approach for Sustainable Manufacturing

Contact Info

Product

Resources

About