Assembly Line Planning and Control

Thomopoulos, Nick T.

doi:10.1007/978-3-319-01399-2

Cited by 27 publications

(20 citation statements)

References 5 publications

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“…Learning curves can be used to estimate the time to complete a selected number of units on an assembly line (Thomopoulos, ). This theory states that the assembly time per unit declines by some constant percentage as the number of assemblies doubles.…”

Section: Human Factors’ Complexity Measurement Methods With Human Cognmentioning

confidence: 99%

Human factors’ complexity measurement of human‐based station of assembly line

Fan

Zhao

et al. 2018

Hum Ftrs & Erg Mfg Svc

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Cognitive heterogeneity causes operation time variability and high human error rates at humanbased stations of assembly lines. It will affect the performance of the production activities, the design process of which depends on reliable estimate of operation time. To quantify operator cognition, we measured the human factors' complexity of human-based stations using an information entropy approach in aspect of operation time. Initially, the influence of the operators' cognition on the operation time is analyzed. Based on the analysis, the operation time model that considers cognition is presented. Then, the operation time model is modified by applying a correction method using the behavior correction factor, and, finally, the human factors' complexity measurement model is built. A case study is used to illustrate the application of the proposed method in order to measure the influence of human cognition on the performance of the human-based station. K E Y W O R D Sassembly line, complexity measurement, human cognition, human factors, human-based station

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Section: Human Factors’ Complexity Measurement Methods With Human Cognmentioning

confidence: 99%

Human factors’ complexity measurement of human‐based station of assembly line

Fan

Zhao

et al. 2018

Hum Ftrs & Erg Mfg Svc

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“…WIP of workstations can easily be observed from the simulation model without need for calculation. 76 Therefore, it was employed in this study to foster the decision making on determination of global optimal garment assembly line balancing.…”

Section: Optimal Solutionmentioning

confidence: 99%

A complex garment assembly line balancing using simulation‐based optimization

Bongomin

Mwasiagi

Nganyi

et al. 2020

Engineering Reports

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The nascent wave of disruptive competition in the current business environment brought about by the fourth industrial revolution (Fashion 4.0 or Apparel 4.0) is enormous. Therefore, it is important for the apparel industry to be flexible enough to respond quickly to the unstable customers' demand through continuous improvement of their process efficiency and productivity. This study proposed assembly line balancing problem (ALBP) for complex garment assembly line using simulation-based optimization under stochastic task times. The proposed ALBP solution approach aimed at minimizing the cycle time for a given number of workstations with consideration of constraints on number of resources, precedence relations, and resource types. The empirical study was conducted at Southern Range Nyanza Limited (NYTIL) garment facility and a complex trouser assembly line with 69 workstations was considered. The discrete event simulation of the trouser assembly line was developed using Arena simulation software. The local optimal solution was obtained from simulation experiments which was adopted for the optimization process. The OptQuest tool was used to solve a single objective optimization with discrete control values. The results showed that the average throughput increased by 30% for local optimal line balancing and 55% for global optimal line balancing. Consequently, the cycle time reduced by 23% and 36%, respectively.

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“…The RAS is developed by assembly planners who are analyzing the structure of the product, the assembly operations and the required assembly modules [9]. Furthermore, the assembly operations and modules are mapped into the stations of the assembly line in a virtual planning environment.…”

Section: Concept For An Agent-based Control Architecturementioning

confidence: 99%

Concept and implementation of an agent-based control architecture for a cyber-physical assembly system

Müller¹,

Vette²,

Hörauf³

et al. 2016

MATEC Web of Conferences

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Abstract. Today's production companies are challenged with: the assembly of different product variants with lot size of one on a single assembly line and the increase of product variants. The implementation of reconfigurable assembly systems with a modular design is a solution, which allows a flexible adaptation to different product variants. However, handling different assembly modules via specific communication protocols is limited by the current centralized control concepts. Therefore, this paper presents a concept for an agent-based control architecture. This concept uses coherent information starting from the planning process of the assembly system until the system is put into operation allowing a decentralized control. The decentralized agents in each station act as mediators between the modules and the assembly memory database enabling the product autonomous control throughout the assembly system. Moreover, the agent manages the data transfer for the modules with different specific syntaxes via respective communication protocols since a standardized communication protocol does not exist in industry. The concept is verified in a test assembly line for the production of small electronic components.

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Assembly Line Planning and Control

Cited by 27 publications

References 5 publications

Human factors’ complexity measurement of human‐based station of assembly line

Human factors’ complexity measurement of human‐based station of assembly line

A complex garment assembly line balancing using simulation‐based optimization

Concept and implementation of an agent-based control architecture for a cyber-physical assembly system

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