Two-stage hybrid flow shop batching and lot streaming with variable sublots and sequence-dependent setups

Wang, Shasha; Kurz, Mary E.; Mason, Scott J.; Rashidi, Eghbal

doi:10.1080/00207543.2019.1571251

Cited by 34 publications

(17 citation statements)

References 29 publications

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“…Flow Shop [18,19, Hybrid or Flexible Flow Shop [20,[57][58][59][60][61][62][63][64][65][66][67][68] Job Shop [69][70][71][72][73] Flexible Job Shop [74][75][76][77][78] Other [17,79,80] Flow Shop: N jobs are processed in m machines with the same seque cannot be delivered before all processing ends on the current machine [18 dustries such as textiles, plastics, chemical, semiconductor, tiles, and many Hybrid or Flexible Flow Shop: Commonly, there are several stages wit chines that may not be the same. Each work must flow through each of the p according to the same sequence, the performance of the system is given mance of each work at each stage [20], cases presented in industries such plastic, and pharmaceutical.…”

Section: Process Papersmentioning

confidence: 99%

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

Salazar-Moya

García

2021

Designs

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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.

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Section: Process Papersmentioning

confidence: 99%

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

Salazar-Moya

García

2021

Designs

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“…This research focuses on UPM, where each machine can process a given job at a different speed. Since a machine can process different jobs, when starting a new one, a setting up is usually needed [7][8][9][10]. Therefore, time and cost used in this operation depend on involved jobs and their sequence.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They are expressed in terms of spent time (and/or money), whose values may be constant or varied as the preceding task. More specifically, a sequence-independent setup (SIS) [7,8] remains constant regardless of the previous tasks operated on the same machine, whereas a sequence-dependent setup (SDS) does not [4,5,9,10]. In addition, while some tasks can well be performed on one machine, they may be prohibitive on others.…”

Section: Introductionmentioning

confidence: 99%

Biobjective Scheduling for Joint Parallel Machines with Sequence-Dependent Setup by Taking Pareto-Based Approach

Srisuruk

Sudtachat

Horkaew

2021

Modelling and Simulation in Engineering

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Modern factories have been moving toward just-in-time manufacturing paradigm. Optimal resource scheduling is therefore essential to minimize manufacturing cost and product delivery delay. This paper therefore focuses on scheduling multiple unrelated parallel machines, via Pareto approach. With the proposed strategy, additional realistic concerns are addressed. Particularly, contingencies regarding product dependencies as well as machine capacity and its eligibility are also considered. Provided a jobs list, each with a distinct resource work hour capacity, this novel scheduling is aimed at minimizing manufacturing costs, while maintaining the balance of machine utilization. To this end, different computational intelligence algorithms, i.e., adaptive nearest neighbour search and modified tabu search, are employed in turn and then benchmarked and validated against combinatorial mathematical baseline, on both small and large problem sets. The experiments reported herein were made on MATLAB™ software. The resultant manufacturing plans obtained by these algorithms are thoroughly assessed and discussed.

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“…Huang and Yu (2017) developed an improved ant colony optimization to resolve multi-objective job shop scheduling problem with equal-size lot splitting. Wang et al (2019) studied integrated batching and lot streaming problem with variable sub-lots, incompatible job families, and sequence-dependent setup times, and developed heuristics for an efficient solution. From the literature we can see that most studies only indicate the condition of job grouping or assume that job batches already exist, whereas very few studies have addressed how to decide the job batches.…”

Section: Scheduling With Lot Sizingmentioning

confidence: 99%

“…Besides, traditional scheduling problems rarely consider batching of items, and therefore scheduling individual item is not available in actual production processes. But in practice, each job will contain multiple items, and batching will enhance production tempo and improve equipment utilization (Wang et al 2019). In this paper, we develop a solution procedure based on ACA for hybrid flow shop scheduling with lot sizing and calendar constraints.…”

Section: Mathematical Formulationmentioning

confidence: 99%

A two-stage ant colony algorithm for hybrid flow shop scheduling with lot sizing and calendar constraints in printed circuit board assembly

Qin

Zhuang

Liu

et al. 2019

Computers & Industrial Engineering

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Two-stage hybrid flow shop batching and lot streaming with variable sublots and sequence-dependent setups

Cited by 34 publications

References 29 publications

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

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

Biobjective Scheduling for Joint Parallel Machines with Sequence-Dependent Setup by Taking Pareto-Based Approach

A two-stage ant colony algorithm for hybrid flow shop scheduling with lot sizing and calendar constraints in printed circuit board assembly

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