Lot Streaming Flow Shop with a Heterogeneous Machine

Ferraro, Augusto; Rossit, Daniel Alejandro; Toncovich, Adrián; Frutos, Mariano

doi:10.1080/10429247.2018.1522221

Cited by 9 publications

(7 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The idle time TOk is modified (equation 18), by incorporating the variable Y i,j,k,l . The same happens with energy consumption (TEC) (equation 19). Then, restrictions (20)-(25) have a similar interpretation to that of the SBS + EA model (equations (13)-(17)), with the difference that now the duration of the processing can be modified for each sublot i of each job j.…”

Section: Breakdown Of Z (Equation 1) In Terms Of Sbsi+eamentioning

confidence: 84%

“…For this, the studies that have used similar approaches were taken as a starting point [10] [13]. Regarding the parameterization related to lot-streaming, it was considered similar works from literature [18] [19]. The sizes of the problems studied considered 5 and 10 machines, and 3, 5 and 7 jobs were used for each number of machines.…”

Section: Experimental Designmentioning

confidence: 99%

“…Even in flow shop problems with sequence-dependent setups, the advantages of using an approach based on lot streaming were also evidenced [17]. On the other hand, it allows to reduce makespan times considerably for non-permutation flow shop systems [18], as well as to deal efficiently with complex flow shop systems where one of the stages production works in batch mode [19]. In this work, it proposed to extend these lot streaming applications to solve scheduling in flow shop systems with energy considerations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Lot streaming Permutation Flow shop with energy awareness

D’Amico

Rossit

Frutos

2021

Int J Ind Eng Manag

Self Cite

View full text Add to dashboard Cite

Section: Breakdown Of Z (Equation 1) In Terms Of Sbsi+eamentioning

confidence: 84%

Section: Experimental Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Lot streaming Permutation Flow shop with energy awareness

D’Amico

Rossit

Frutos

2021

Int J Ind Eng Manag

Self Cite

View full text Add to dashboard Cite

“…Consistent: If the lot size is the same for each pair of machines, with this type of batches work [17,21,34,38,41,42,[48][49][50][51]57,59,61,64,[67][68][69]75].…”

Section: Types Of Sublots or Jobsmentioning

confidence: 99%

Lot Streaming in Different Types of Production Processes: A PRISMA Systematic Review

Salazar-Moya

García

2021

Designs

View full text Add to dashboard Cite

At present, any industry that wanted to be considered a vanguard must be willing to improve itself, developing innovative techniques to generate a competitive advantage against its direct competitors. Hence, many methods are employed to optimize production processes, such as Lot Streaming, which consists of partitioning the productive lots into overlapping small batches to reduce the overall operating times known as Makespan, reducing the delivery time to the final customer. This work proposes carrying out a systematic review following the PRISMA methodology to the existing literature in indexed databases that demonstrates the application of Lot Streaming in the different production systems, giving the scientific community a strong consultation tool, useful to validate the different important elements in the definition of the Makespan reduction objectives and their applicability in the industry. Two hundred papers were identified on the subject of this study. After applying a group of eligibility criteria, 63 articles were analyzed, concluding that Lot Streaming can be applied in different types of industrial processes, always keeping the main objective of reducing Makespan, becoming an excellent improvement tool, thanks to the use of different optimization algorithms, attached to the reality of each industry.

show abstract

“…For solving the general HFSP scheduling problem and its variants, many approaches have been developed to obtain the optimal or near-optimal solutions [12][13][14]. These approaches include exact algorithms [15,16], heuristic methods [17,18] and meta-heuristics methods [3,11].…”

Section: Literature Reviewmentioning

confidence: 99%

An Improved Migrating Birds Optimization Algorithm for a Hybrid Flow Shop Scheduling within Steel Plants

et al. 2020

View full text Add to dashboard Cite

Steelmaking and the continuous-casting (SCC) scheduling problem is a realistic hybrid flow shop scheduling problem with continuous-casting production at the last stage. This study considers the SCC scheduling problem with diverse products, which is a vital and difficult problem in steel plants. To tackle this problem, this study first presents the mixed-integer linear programming (MILP) model to minimize the objective of makespan. Then, an improved migrating birds optimization algorithm (IMBO) is proposed to tackle this considered NP-hard problem. In the proposed IMBO, several improvements are employed to achieve the proper balance between exploration and exploitation. Specifically, a two-level decoding procedure is designed to achieve feasible solutions; the simulated annealing-based acceptance criterion is employed to ensure the diversity of the population and help the algorithm to escape from being trapped in local optima; a competitive mechanism is developed to emphasize exploitation capacity by searching around the most promising solution space. The computational experiments demonstrate that the proposed IMBO obtains competing performance and it outperforms seven other implemented algorithms in the comparative study.

show abstract

Lot Streaming Flow Shop with a Heterogeneous Machine

Cited by 9 publications

References 33 publications

Lot streaming Permutation Flow shop with energy awareness

Lot streaming Permutation Flow shop with energy awareness

Lot Streaming in Different Types of Production Processes: A PRISMA Systematic Review

An Improved Migrating Birds Optimization Algorithm for a Hybrid Flow Shop Scheduling within Steel Plants

Contact Info

Product

Resources

About