Benders’ decomposition for the balancing of assembly lines with stochastic demand

Sikora, Celso Gustavo Stall

doi:10.1016/j.ejor.2020.10.019

Cited by 25 publications

(4 citation statements)

References 56 publications

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“…Pirogov et al 16 studied the problem of uncertain process processing time by initially assigning a given set of tasks to modules and subsequently assigning modules to machines to determine the most robust line configuration. Sikora 17 addressed the assembly line balancing problem by employing Benders decomposition and considering uncertain demands. Pinhão et al 18 proposed models for optimizing indicators such as turnaround time, number of operators, and load balancing in aircraft engine assembly lines.…”

Section: Related Workmentioning

confidence: 99%

Production line balance problem identification and improvement based on decision tree: A case study of commercial air conditioner production line

Wang,

Xin,

Jia

et al. 2024

Science Progress

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In the production of air conditioners, there are various issues such as complex requirements, redundant stations, excessive man-hours, and low production line balance rate. This paper aims to address these problems by analyzing the historical data of H Company's commercial air conditioner production line. The data is categorized into five aspects: station, working hours, standard working hours, labor capacity, and presence of bottleneck processes. To optimize and improve the second production line, this paper applies the production line balance management method based on data mining. It utilizes the decision tree model in data mining and incorporates lean production knowledge from industrial engineering. The goal is to identify crucial factors that affect the balance of the production line and address the issues caused by these factors. The aim is to reduce and eliminate redundant working hours and enhance the balance rate of the production line. By implementing the approach outlined in this paper, the bottleneck time of the second production line was reduced from 96.67 s to 74.6 s, and the production line balance rate increased from 68% to 85%.

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Section: Related Workmentioning

confidence: 99%

Production line balance problem identification and improvement based on decision tree: A case study of commercial air conditioner production line

Wang,

Xin,

Jia

et al. 2024

Science Progress

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“…There are two ways that can facilitate the development of the ICV industry. The first one is the specialized division (Hu, 2021;Sikora, 2021), which means the high-tech companies making full use which is illustrated in Table 5.…”

Section: Pointmentioning

confidence: 99%

“…There are two ways that can facilitate the development of the ICV industry. The first one is the specialized division (Hu, 2021; Sikora, 2021), which means the high‐tech companies making full use of their strengths concentrate on the research of the core technology of the ICVs and the production activity are borne by the traditional automobile manufacturing enterprises. The relationship between Huawei and Beijing Automotive Group represents this development pattern.…”

Section: Evolutionary Model Analysis Without Government Subsidy Policymentioning

confidence: 99%

Evolutionary game analysis on incremental component suppliers and auto manufacturers' intelligent connected vehicle production decisions

Xia

Zhao

et al. 2023

Manage Decis Econ

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This paper considers a two‐population evolutionary game between incremental component suppliers and new energy vehicle (NEV) manufacturers to explore their intelligent connected vehicle (ICV) production decisions in the long term. The government subsidy policy is taken into consideration in the extended model. Through analysis, we derive all the possible evolutionary results and obtain while the static subsidy affects the thresholds compared with non‐government subsidy situation, it has no effect on the overall evolutionary direction. However, the dynamic subsidy can remove the periodic behavior of the ICV supply chain participants. This paper provides some suggestions to enhance the ICV industry development.

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“…Additionally, as shown in [8], the adoption of a LDR approach allows writing the MSLP as a two-stage stochastic model (with multiple periods). In this case, we would be inheriting all properties and convergence results (e.g., SAA results [23,24]), and the methods and algorithms (such as Benders decomposition [25] and Progressive Hedging [26]) for this widely studied class of models.…”

Section: Introductionmentioning

confidence: 99%

Solving Multistage Stochastic Linear Programming via Regularized Linear Decision Rules: An Application to Hydrothermal Dispatch Planning

Nazare¹,

Street²

2021

Preprint

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Benders’ decomposition for the balancing of assembly lines with stochastic demand

Cited by 25 publications

References 56 publications

Production line balance problem identification and improvement based on decision tree: A case study of commercial air conditioner production line

Production line balance problem identification and improvement based on decision tree: A case study of commercial air conditioner production line

Evolutionary game analysis on incremental component suppliers and auto manufacturers' intelligent connected vehicle production decisions

Solving Multistage Stochastic Linear Programming via Regularized Linear Decision Rules: An Application to Hydrothermal Dispatch Planning

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