Task allocation in manufacturing: A review

Cheng, Ying; Sun, Fengyi; Zhang, Yongping; Tao, Fei

doi:10.1016/j.jii.2018.08.001

Cited by 14 publications

(9 citation statements)

References 74 publications

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“…The CN is a statistical physics interpretation of graph theory [43]. It aims at describing and understanding the relationships between the elements of a complex system.…”

Section: Complex Network (Cn)mentioning

confidence: 99%

A Modeling Framework of Dynamic Risk Monitoring for Chemical Processes Based on Complex Networks

Wang,

Han,

Chen

et al. 2024

IEEE Access

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To ensure the stable and safe operations, this paper presents a modeling framework of dynamic risk monitoring for chemical processes. Multi-source process data are firstly denoised by the Wavelet Transform (WT). The Spearman's rank correlation coefficient (SRCC) of these data is calculated based on an appropriate time step and time window. An optimal correlation threshold is further applied to transform the SRCC matrix into an adjacency matrix. Accordingly, the model of complex networks (CNs) can be established for characterizing massive, disordered, and nonlinear process data. Network structure entropy is particularly introduced to transform process data into a single time series of relative risk. To illustrate its validity, a diesel hydrofining unit and Tennessee Eastman Process (TEP) are selected as test cases. Results show that the proposed modeling framework can effectively and reasonably monitor the risks of chemical processes in real time.

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“…The CN is a statistical physics interpretation of graph theory [43]. It aims at describing and understanding the relationships between the elements of a complex system.…”

Section: Complex Network (Cn)mentioning

confidence: 99%

A Modeling Framework of Dynamic Risk Monitoring for Chemical Processes Based on Complex Networks

Wang,

Han,

Chen

et al. 2024

IEEE Access

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“…5 With the increasing use of thermoplastic composites in primary structural parts of an aircraft, advanced manufacturing techniques have become necessary for producing large and complex geometry parts in a shorter period with low-cost, high accuracy, and production quality. 6,7 Advanced manufacturing technologies mainly include automated and robotic processes like automated tape laying and automated fiber placement (AFP). In the AFP process, a robotic placement head lays up preimpregnated fibers in different orientations over preheated flat or curved surfaces with specific process parameters, including nip point temperature, tool temperature, compaction force, lay-up speed, laser spot size, and angle.…”

Section: Introductionmentioning

confidence: 99%

An experimental implication of long‐term hot‐wet‐aged carbon fiber/polyether ketone ketone composites: The impact of automated fiber placement process parameters and process‐induced defects

Şükür

Elmas

Eskizeybek

et al. 2023

J of Applied Polymer Sci

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During the service life of aerospace‐grade composites, process parameters and process‐induced defects may become crucial. Most studies in this field have mainly focused on the relationship between process‐induced defects and mechanical performance. However, the potential impact of process parameters and process‐induced defects on the service life of composites serving under severe service conditions has received little attention. In this work, the effects of hydrothermal conditioning on the mechanical performance of carbon fiber/polyether ketone ketone (CF/PEKK) composites are examined, along with the correlation between automated fiber placement (AFP) process parameters and process‐induced defects. For this, gap and overlap defects integrated CF/PEKK laminates were exposed to a long‐term (90 days) hot‐wet aging environment to simulate the actual service conditions. Defect‐induced composite samples reached saturation point at the end of 30 days with a mass gain of 0.2 wt%. The aging process resulted in an increase in the degree of crystallization by almost 14% without a change in the chemical structure, indicating the postcrystallization of the PEKK matrix. Even though the thermo‐mechanical performance diminished (~25%) with the aging process, storage modulus was slightly affected by process parameters and process‐induced defects. Considering the flexural and shear test results after the aging process, the impact of gap and overlap defects on the service life of AFP composites can be minimized with higher compaction forces (600 N) and lower lay‐up speeds (0.1 m/s).

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“…Simultaneously, this trend has promoted the development of traditional production systems, leading to innovations in production systems, namely through the decomposition of certain tasks, and the full use of distributed production resources, and also the adoption of more flexible ways to satisfy customer needs. Production task specificities are increasing and becoming more customized, dynamic, and uncertain [2].…”

Section: Introductionmentioning

confidence: 99%

“…Step 3. Each ant computes the probability of the current task being selected at each location in the set of optional locations based on Equation (2). Then, the ant chooses the matching location for the current task, according to the roulette method.…”

mentioning

confidence: 99%

Ergonomic Risk Minimization in the Portuguese Wine Industry: A Task Scheduling Optimization Method Based on the Ant Colony Optimization Algorithm

2022

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In the wine industry, task planning is based on decision-making processes that are influenced by technical and organizational constraints as well as regulatory limitations. A characteristic constraint inherent to this sector concerns occupational risks, in which companies must reduce and mitigate work-related accidents, resulting in lower operating costs and a gain in human, financial, and material efficiency. This work proposes a task scheduling optimization model using a methodology based on the ant colony optimization approach to mitigate the ergonomic risks identified in general winery production processes by estimating the metabolic energy expenditure during the execution of tasks. The results show that the tasks were reorganized according to their degree of ergonomic risk, preserving an acceptable priority sequence of tasks with operational affinity and satisfactory efficiency from the point of view of the operationalization of processes, while the potential ergonomic risks are simultaneously minimized by the rotation and alternation of operative teams between those tasks with higher and lower values of metabolic energy required. We also verified that tasks with lower ergonomic-load requirements influence the reorganization of the task sequence by lowering the overall value of metabolic energy, which is reflected in the reduction of the ergonomic load.

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Task allocation in manufacturing: A review

Cited by 14 publications

References 74 publications

A Modeling Framework of Dynamic Risk Monitoring for Chemical Processes Based on Complex Networks

A Modeling Framework of Dynamic Risk Monitoring for Chemical Processes Based on Complex Networks

An experimental implication of long‐term hot‐wet‐aged carbon fiber/polyether ketone ketone composites: The impact of automated fiber placement process parameters and process‐induced defects

Ergonomic Risk Minimization in the Portuguese Wine Industry: A Task Scheduling Optimization Method Based on the Ant Colony Optimization Algorithm

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