Virtual cellular manufacturing: Configuring routing flexibility

Nomden, Gert; Zee, van der Durk

doi:10.1016/j.ijpe.2007.04.010

Cited by 44 publications

(10 citation statements)

References 34 publications

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“…The cell is directed towards a specific task during the manufacturing scheduling process, and has a life cycle with the completion of task. In case task changing, VMC should be recomposed in response to these changes [6,7] . This work takes a lot of time and cost, especially the management costs of the manufacturing system.…”

Section: A Virtual Manufacturing Cell(vmc)mentioning

confidence: 99%

Notice of Retraction: A new manufacturing scheduling system model and its implementation

Guo

Jing

Liu

2010

2010 2nd International Conference on Advanced Computer Control

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In order to adapt to the requirements of manufacturing scheduling system in an aerospace enterprise, a new manufacturing scheduling system was put forward according to the actual situation of the aerospace enterprise, which plays a key role in manufacturing enterprises. And a new manufacturing resources organization modelmanufacturing resources organization model based virtual manufacturing cell (MROM-VMC) was proposed, which is the foundation of this new manufacturing scheduling system. First of all, the function structure of the manufacturing resource model was designed, and the procedure of VMC formation was given. In addition, the hybrid framework of the production scheduling system model was established; the working process of this model was presented. Finally, an application case in a manufacturing enterprise was provided to validate that this system is able to simplify the procedure of scheduling and improve production efficiency and quality.

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Section: A Virtual Manufacturing Cell(vmc)mentioning

confidence: 99%

Notice of Retraction: A new manufacturing scheduling system model and its implementation

Guo

Jing

Liu

2010

2010 2nd International Conference on Advanced Computer Control

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show abstract

“…A virtual cell is the logical grouping of resources within a controller. When an order is placed (which determines a set of work stations to manufacture a specific product), the virtual cell controller takes on the control of those stations and makes communication and iteration among them possible [7,[9][10][11]. The virtual cell differs from a traditional production cell in two aspects: the concept of machine sharing and the physical layout of the machines.…”

Section: Conceptual Modeling Based On Virtual Cellsmentioning

confidence: 99%

Modeling a Complex Production Line Using Virtual Cells

Ferreira

Ares

Lourido

et al. 2012

Lecture Notes in Electrical Engineering

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“…A comprehensive taxonomy and review of prior research in the area of VCMS can be found in their study. Nomden et al (2008) studied parallel machine shops that implemented the concept of VCMS for production control. They strived to have a more comprehensive study on the relevance of routing configuration in VCMS.…”

Section: Literature Reviewmentioning

confidence: 99%

Linear programming embedded particle swarm optimization for solving an extended model of dynamic virtual cellular manufacturing systems

Rezazadeh¹,

Ghazanfari²,

Sadjadi³

et al. 2009

JART

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The concept of virtual cellular manufacturing system (VCMS) is finding acceptance among researchers as an extension to group technology. In fact, in order to realize benefits of cellular manufacturing system in the functional layout, the VCMS creates provisional groups of resources (machines, parts and workers) in the production planning and control system. This paper develops a mathematical model to design the VCMS under a dynamic environment with a more integrated approach where production planning, system reconfiguration and workforce requirements decisions are incorporated. The advantages of the proposed model are as follows: considering the operations sequence, alternative process plans for part types, machine timecapacity, worker time‐capacity, cross training, lot splitting, maximal cell size, balanced workload for cells and workers. An efficient linear programming embedded particle swarm optimization algorithm is used to solve the proposed model. The algorithm searches over the 0‐1 integer variables and for each 0‐1 integer solution visited; corresponding values of integer variables are determined by solving a linear programming sub‐problem using the simplex algorithm. Numerical examples show that the proposed method is efficient and effective in searching for near optimal solutions.

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Virtual cellular manufacturing: Configuring routing flexibility

Cited by 44 publications

References 34 publications

Notice of Retraction: A new manufacturing scheduling system model and its implementation

Notice of Retraction: A new manufacturing scheduling system model and its implementation

Modeling a Complex Production Line Using Virtual Cells

Linear programming embedded particle swarm optimization for solving an extended model of dynamic virtual cellular manufacturing systems

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