28 research outputs found

    Simulation and the Fourth Industrial Revolution

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    Advancements in systems simulation over the past decade have propelled simulationinto a new position as a decision-making tool in Industry 4.0 applications. This paperaddresses the specific benefits of simulation which can be utilized to enable greaterflexibility in decision making in the Industry 4.0 environment. It is stressed thatboth discrete event simulation (DES) and agent-based simulation (ABS) can be usedto represent complex interactions in a fully integrated set of virtual and physicalsystems

    EMERGENCE OF SIMULATIONS FOR MANUFACTURING LINE DESIGNS IN JAPANESE AUTOMOBILE MANUFACTURING PLANTS

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    ABSTRACT The aim of this research is to introduce the reader to a new perspective on the framework for designing a manufacturing line project in Japanese automobile manufacturing plants. All manufacturing aspects, manual, automated and hybrid manufacturing lines are considered; however, which line should be used for the factory is always under investigation within the factory. Simulation studies that include resource utilization, line productivity and manufacturing costs help to identify the most suitable manufacturing line type within a factory. By utilizing simulation studies, designers can make reliable decisions upon suitable manufacturing lines faster than conventional methods based upon engineering experience. In order to understand the framework of manufacturing line design, a project to design a new automobile component manufacturing line was investigated in this study, and the chosen manufacturing line was also checked by the manufacturing activities in the factory

    The Use Of Simulation In Activity-Based Costing For Flexible Manufacturing Systems

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    A framework to design simulation models is described in order to perform activity-based costing for flexible manufacturing systems before actual manufacturing activities

    SIMULATION MODELING AND ANALYSIS FOR IN-STORE MERCHANDIZING OF RETAIL STORES WITH ENHANCED INFORMATION TECHNOLOGY

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    In this study a procedure of simulation modeling for in-store merchandizing was used in order to examine customer flows in retail stores. One of the main objectives of this paper is to propose an approach of building a simulation model by making use of the POS data. The methods for identifying the arrival time and routing inside store are described, using daily POS data. This study primarily analyzed customer congestion and the utilization of the cash registers. Recently, IC tags are recognized in the fields of manufacturing and distribution systems as a powerful tool to reduce sales transaction time, with the assistance of the POS system. The proposed procedure was applied to the actual case. The results show that the customer flow can be examined easily, while the proposed procedure is useful for store management including cashiers scheduling and in-store merchandising

    USING OPERATION PROCESS SIMULATION FOR A SIX SIGMA PROJECT OF MINING AND IRON PRODUCTION FACTORY

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    The use of the Operation Process Simulation (OPS) for Six Sigma Projects (SSP) can illustrate visual display of the process by enabling to define, measure, analyze and improve the current process virtually but realistically. This paper investigates the quantitative benefits of using the Design for Six Sigma (DFSS) technique for a SSP in a Mining and Iron Production Factory (MIPF). The DFSS was deployed through five distinct phases: DMAIC, for optimizing the current MIPF as a first part of the research. The second part of the research investigates the possibilities of developing the deliverables of the DMAIC for a DMADV for implementing a new MIPF. Use of the OPS in all phases of the DMAIC has provided highly effective and accurate prediction for factory process improvement. Furthermore, the paper explored the effective possibilities of developing the deliverables of the DMAIC for the DMADV for building new MIPF

    OUTPATIENT APPOINTMENT SCHEDULING IN A MULTI FACILITY SYSTEM

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    This study evaluates appointment systems used in hospitals by incorporating appointment rules and patient characteristics. Using an experiment unit at an internal medicine department of a large outpatient ward in Nagoya university hospital, a number of prevailing assumptions were relaxed, and twenty-five appointment systems were developed combining five appointment rules with five patient sequences. These appointment systems were evaluated under two different environments namely no-show and patient punctuality, with each of the two-levels totaling one-hundred different environments. A best appointment system is capable of identifying the problems in terms of both patient waiting time and doctor idle time
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