Determination of number of kanban in a cellular manufacturing system with considering rework process

Aghajani, Mojtaba; Keramati, Abbas; Javadi, Babak

doi:10.1007/s00170-012-3973-y

Cited by 20 publications

(7 citation statements)

References 41 publications

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“…A genetic algorithm and a hybrid of a genetic algorithm and simulated annealing (SA) are used (Widyadana, 2010). To reduce the computational time required to obtain an optimal solution, PSO and SA algorithms as metaheuristic methods are used to solve a large MINLP to determine the number of Kanban in a cellular manufacturing system with consideration of the rework process (Aghajani, 2012).…”

Section: Materials Flow and Related Workmentioning

confidence: 99%

Modelling material flow using the Milk run and Kanban systems in the automotive industry

Simić

Svirčević²,

Corchado

et al. 2020

Expert Systems

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Material flow management refers to the analysis and specific optimization of the inventory-production system. Material flow can be characterized as the organized flow of material in a production process with the required sequence determined by a technological procedure. The Milk run system assures the transportation of materials at the right time and in an optimal manner. It should be combined with the Kanban system to highlight when something is required in the production process. This paper presents biological swarm intelligence, in general, and a particular model, particle swarm optimization (PSO), for modelling material flow using a Milk run system supported by a Kanban system in the automotive industry. The aim of this study is to create a new model for the optimal number of trailers for one train and optimal number of containers in a tugger train system when the route time period has been defined. A new modified PSO approach for integrating inventory-production in a unique optimization model is used. The major modification to the original PSO is using the capacity of a container instead of a velocity component. Each new Kanban trigger is checked, and the total timing for the Milk run delivery solution is calculated for the necessary raw material capacity for each shop floor.

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Section: Materials Flow and Related Workmentioning

confidence: 99%

Modelling material flow using the Milk run and Kanban systems in the automotive industry

Simić

Svirčević²,

Corchado

et al. 2020

Expert Systems

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show abstract

“…Obviously, as the presented paper topic, the kanban system is widely implemented in the repetitive manufacturing environment (Sendil Kumar and Panneerselvam 2007;Battini et al 2009b). Aghajani, Keramati, and Javadi (2012) studied the cellular manufacturing system controlled by a kanban mechanism, proposing a mixed-integer nonlinear programming model in order to determine the number of kanban, batch size, and number of batches using the minimisation of the total cost function. Azadeh, Ebrahimipour, and Bavar (2010) presented a hybrid approach as an optimisation search technique and a simulation model to improve an existing JIT automotive industry production line system.…”

Section: Literature Reviewmentioning

confidence: 99%

Kanban number optimisation in a supermarket warehouse feeding a mixed-model assembly system

Faccio

Gamberi

Persona

2013

International Journal of Production Research

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Following just-in-time principles, a growing number of manufacturers are adopting the so-called supermarket concept. Supermarkets are decentralised storage areas scattered throughout the shopfloor that serve as an intermediate store for parts required by nearby assembly lines. From these stores, a certain number of handling operators deliver parts from the supermarket to, and collect empty bins from, assembly stations. Finally, they return to the supermarket and are refilled for their next tours. The assembly stations are typically refilled from the supermarket through the constant replacement of the consumed parts pulled by the kanban system. Considering a mixed model assembly system composed of different assembly lines, feeding problems can occur as an effect of the replenishment lead time, of the production mix variation, of the commonality between the different models assembled. The aims of this paper are (i) to highlight how the supermarket/multi-mixed assembly-line system presents specific attributes that prohibit the simple application of well-known kanban dimensioning formulations and (ii) to provide an innovative procedure to optimally set all decision variables related to such a feeding system.

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“…Looking at the layout dimension Aghajani et al (2012) study the cellular manufacturing system controlled by a Kanban mechanism, proposing a mixed-integer nonlinear programming model in order to determine the number of Kanban, batch size and number of batches using the minimization of the total cost function. Azadeh et al (2010) present a hybrid approach as an optimization search technique and a simulation model to improve an existing JIT automotive industry production line system.…”

Section: Literature Reviewmentioning

confidence: 99%

Design and simulation of assembly line feeding systems in the automotive sector using supermarket, kanbans and tow trains: a general framework

et al. 2013

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A growing number of manufacturers are adopting the so-called supermarket strategy to supply components to the production system. Supermarkets are decentralized storage areas used as intermediate warehouses for parts required by the production system (typically assembly lines). Such a feeding system is widely used in the automotive industry where assembly stations in multiple mixed-model assembly lines are usually refilled by means of a systematic part replenishment driven by Kanban systems, adopting small trucking vehicles towing some wagons (tow trains). The aim of this paper is to provide a simple but robust framework in order to design the supermarket/feeding system dedicated to complex multiple mixed-model assembly lines. This framework proposes an integrated approach both for long-term (static analytical model) and short-term (dynamic simulation) problems dealing with Kanban and Supermarket systems dedicated to assembly lines, and the tow train fleet sizing and management. This proposed methodology is applied to a case study derived from the Italian automotive industry, and the results highlight the high interrelation between the long and the short term variables that can be evaluated only by an integrated approach that considers both static and dynamic aspects of the problem. The results of this study are then presented and widely discussed

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Determination of number of kanban in a cellular manufacturing system with considering rework process

Cited by 20 publications

References 41 publications

Modelling material flow using the Milk run and Kanban systems in the automotive industry

Modelling material flow using the Milk run and Kanban systems in the automotive industry

Kanban number optimisation in a supermarket warehouse feeding a mixed-model assembly system

Design and simulation of assembly line feeding systems in the automotive sector using supermarket, kanbans and tow trains: a general framework

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