For Effective Facilities Planning: Layout Optimization Then Simulation, or Vice Versa?

Aleisa, Esra; Li, Lin

doi:10.1109/wsc.2005.1574401

Cited by 27 publications

(14 citation statements)

References 28 publications

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“…Generally, simulation process is to imitate the operation of a real-world process or system over time. It involves development of an artificial scenario of a system and the experimentation of artificial history to illustrate assumption regarding on the operation characteristics of the real system (Aleisa and Lin, 2005). Simulation designs a dynamic model of an actual dynamic system for the reason of either understanding the behavior of the system or evaluating various strategies, within the limits imposed by one or more criteria, for the operation of the system (Banks et al, 2010).…”

Section: Research Backgroundmentioning

confidence: 99%

Rearranging Dispatching Layout to Minimize Dispatching Time

Saptari

Azlan

Mohamad

2019

JIE

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<p>Reorganizing a layout entails a massive adjustment and thorough planning is essential before a new layout implemented. This project is to reorganize layout at dispatching area of a manufacturing industry which produces apparel accessories products. Current arrangement at the dispatching area of the company shows an interrupted flow path of activities and scattered of queuing cartons at area of activities in the dispatching line which brought to operating issues. The project aims to identify problem in current arrangement of dispatching layout, analyze the the problem and propose an alternative layout that reduces dispatching time. Time studies were applied to collect data on current performance, developing alternative arrangement, and evaluation the alternative through Witness simulation. The finding showed total dispatching time of current layout consumes 30.77 minutes to complete one dispatching job with distance travel of 162.83 meters. Better alternative layout is developed by the approach of facility planning process. Results showed the dispatching time has reduced by 32.79%, which the alternative layout only consumes 20.68 minutes to complete one dispatching job with shorter distance travel of 109.44 meters.<br /><br /></p>

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Section: Research Backgroundmentioning

confidence: 99%

Rearranging Dispatching Layout to Minimize Dispatching Time

Saptari

Azlan

Mohamad

2019

JIE

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“…Tompkins et al [5] stated that a good placement of facilities contributes to the overall efficiency of operations and can reduce up to 50% the total operating expenses. It may be one of the oldest activities performed by industrial engineers and, according to Aleisa & Lin [6], simulation tools are often used to measure the benefits and performance of layouts. Drira et al [7] explain what are FLP problems, how they are influenced by different shop-floor's characteristics, and the main approaches used to address it.…”

Section: Related Workmentioning

confidence: 99%

A Facility Layout Planner tool based on Genetic Algorithms

Pinto

Gonçalves²,

Cardoso³

et al. 2016

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

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Abstract-Nowadays, in order to maintain their competitiveness, manufacturing companies must adapt their production methods quickly, with minimum expenditure, to frequent variations on demand. With the shortage of the product life time, flexibility, efficiency and reusability of industrial processes are important factors, which may determine the survival of the company. The ReBORN project is working around these ideas, namely studying how can an old production equipment be reused into new contexts. The ReBORN Workbench is a simulation tool for factory layout design, which generates solutions based on the production requirements and facilities' availability, corresponding Life Cycle Assessment, and associated location cost. This paper is concerned with the ReBORN Workbench module responsible to generate solutions for equipment location, generally know as Facility Layout Problems. A Genetic Algorithm was implemented to solve these problems, which aims to minimize the total material handling costs. The effectiveness of the proposed approach is evaluated with a numerical example and compared with other similar approaches. The results show that the proposed approach is indeed effective to solve problems regarding facilities layout.

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“…As an extension, the in-plant distribution as well as the supply chain on the distribution side is included in the simulation model (Phelbs et al 2000;Phelbs et al 2001). Besides that, a number of articles report simulation studies in order to find optimal layouts for flexible manufacturing facilities (Drake et al 1995;Zhou and Venkatesh 1999;Azadivar and Wang 2000;Aleisa and Lin 2005) or cellular manufacturing layouts (Morris and Tersine 1990;Irizarry et al 2001). These approaches mostly aim at the (near) optimal solution of a specific problem rather than evaluating a multidimensional scenario like the assessment of feasibility for a future manufacturing plant projection.…”

Section: Discrete Event Simulation For Supporting Industrial Process mentioning

confidence: 99%

Simulation Based Decision Support System For Cut-To-Size Plants

Robert¹,

Schmid²,

Hillbrand³

2011

ECMS 2011 Proceedings Edited By: T. Burczynski, J. Kolodziej, A. Byrski, M. Carvalho

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Cut-to-size plants are very complex systems, which are used to process several kinds of panels. The acquisition, planning, implementation and operation of these systems impose lots of challenges. To support the process from retail to operation of cut-to-size plants, a new simulation based decision support tool has been developed. This planning tool offers entirely new opportunities for system experts to model, animate, simulate and emulate cut-to-size processes. In this paper, we discuss centrally and hierarchically controlled real time systems and derive a conceptual design to explain the implemented reproduction of the virtual system. We introduce the system architecture for our simulation based decision support tool and examine our approach to model largescale plant systems. Apart from this, we present our method to process the orders which are generated on the control system and to handle them as discrete event tasks in the virtual system. Finally, based on the findings of the realization and testing of the tool, this paper discusses the opportunities arising from this approach as well as its future potential.

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For Effective Facilities Planning: Layout Optimization Then Simulation, or Vice Versa?

Cited by 27 publications

References 28 publications

Rearranging Dispatching Layout to Minimize Dispatching Time

Rearranging Dispatching Layout to Minimize Dispatching Time

A Facility Layout Planner tool based on Genetic Algorithms

Simulation Based Decision Support System For Cut-To-Size Plants

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