Dynamic material flow control in mixed model assembly lines

Alnahhal, Mohammed; Noche, Bernd

doi:10.1016/j.cie.2015.03.009

Cited by 18 publications

(5 citation statements)

References 25 publications

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“…The material supply systems, also known as the line feeding systems, have received particular attention by several authors in an effort to control and optimise the processes taking place (e.g. Alnahhal and Noche, 2015;Ellis et al, 2010) as well as decide upon the most efficient feeding system. From an information management point of view, there is important research looking at the application and integration of latest technologies (e.g.…”

Section: Background On In-plant Logistics Processesmentioning

confidence: 99%

“…Logistics and material flow processes play a critical role in plant's assembly operations and any inefficiency in feeding the lines (e.g. due to disruptions, errors or delays) could have a significant negative impact on the performance of the whole manufacturing system (Li et al, 2020;Boysen et al, 2015;Alnahhal and Noche, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…In the literature a significant number of studies has investigated material flows in assembly plants, focusing on the storage facility, the mixed-production lines and the material supply systems (Li et al, 2020;Alnahhal and Noche, 2015;Boysen et al, 2015;Jainury et al, 2014;Dörnhöfer et al, 2016). The use of the supermarket concept for example is found to offer great advantages into the assembly plants such as fast and flexible logistics processes (Battini et al, 2013;Emde and Boysen, 2012).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving efficiency of material flows in an automotive assembly plant: A case study

Thanou

Matopoulos

2021

CIRP Journal of Manufacturing Science and Technology

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Section: Background On In-plant Logistics Processesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improving efficiency of material flows in an automotive assembly plant: A case study

Thanou

Matopoulos

2021

CIRP Journal of Manufacturing Science and Technology

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“…This research work comes from the necessity of an Italian manufacturing firm to have timely and reliable data about the manual assembly process, specifically the number of assembled pieces by each of the stations of ten assembly lines on the shop floor. With managerial involvement in Lean Manufacturing and Industry 4.0, the tendency is to use a kanban system to manage the material replenishment of assembly lines [ 20 , 21 ], in order to keep low inventories in the production lines—and in the factory in general—with the aim of reducing costs and investments locked into raw material and spare parts. This forces managers and logistics operators to have updated and reliable information of the production of assembly lines to align, in real-time, all the upstream and downstream processes in the pull production flow, such as material replenishment, procurement, shipping, and so on.…”

Section: Introductionmentioning

confidence: 99%

A Versatile Machine Vision Algorithm for Real-Time Counting Manually Assembled Pieces

et al. 2020

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The Industry 4.0 paradigm is based on transparency and co-operation and, hence, on monitoring and pervasive data collection. In highly standardized contexts, it is usually easy to gather data using available technologies, while, in complex environments, only very advanced and customizable technologies, such as Computer Vision, are intelligent enough to perform such monitoring tasks well. By the term “complex environment”, we especially refer to those contexts where human activity which cannot be fully standardized prevails. In this work, we present a Machine Vision algorithm which is able to effectively deal with human interactions inside a framed area. By exploiting inter-frame analysis, image pre-processing, binarization, morphological operations, and blob detection, our solution is able to count the pieces assembled by an operator using a real-time video input. The solution is compared with a more advanced Machine Learning-based custom object detector, which is taken as reference. The proposed solution demonstrates a very good performance in terms of Sensitivity, Specificity, and Accuracy when tested on a real situation in an Italian manufacturing firm. The value of our solution, compared with the reference object detector, is that it requires no training and is therefore extremely flexible, requiring only minor changes to the working parameters to translate to other objects, making it appropriate for plant-wide implementation.

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“…In their study Alnahhal and Noche, [5] to investigate tugger train routing, scheduling, and loading problems in an unsteady environment they presented an approach for dynamic material flow control that is based on handling unexpected fluctuations in stations demand through handling their causes such as machine breakdown, etc. A mix between the demand-oriented and electronic kanban systems was used.…”

Section: Introductionmentioning

confidence: 99%

New Model for Material Transportation to Improve Efficiency of Production Line

Badr¹,

Sayed²,

Aref³

et al. 2018

IJSQA

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The objective of this study is to achieve higher efficiency in production operation through improving the material handling to minimize wastes represented in delivery delay or work in process (WIP) inventory. It is suggested that material is transferred from the warehouse using a tug train system. Advanced tools are required in collecting data of the station inputs to construct an optimum schedule for the train. A new model for material transportation that applies "shortest processing time" (SPT) sequencing rule is proposed. A simulation model was developed; using programming language designed for Simul8 software, for the sake of validating the proposed transportation model. The number of bins delivered to each working station is limited by the demand of each station and its maximum side line inventory. The simulation model is applied on a case study, washing machine production line of "Electrolux" factory in Egypt. The results of the simulation model are found to be similar to the results obtained from the transportation model that was applied using SPT sequencing rule. This work is applied only on the inputs to the stations.

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Dynamic material flow control in mixed model assembly lines

Cited by 18 publications

References 25 publications

Improving efficiency of material flows in an automotive assembly plant: A case study

Improving efficiency of material flows in an automotive assembly plant: A case study

A Versatile Machine Vision Algorithm for Real-Time Counting Manually Assembled Pieces

New Model for Material Transportation to Improve Efficiency of Production Line

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