Comparison of Different Scenarios Using Computer Simulation to Improve the Manufacturing System Productivity: Case Study

Mobile business intelligence used for business intelligence mobile service applications increasingly. According to Gartner (2011), global smartphone sales had arrived at 630 million in 2012, and are supposed to reach 1,105 million items in 2015. As a result, business intelligence users not only rely on desktop computers, while they as well want mobile access to joint and used data. Nevertheless, few studies have been consummate on mobile business intelligence services and the user acceptance rate of mobile BI is still moderately low. For these reasons, the current article centred on the significant of the factors and levels of mobile business intelligence user acceptance that affect the mobile business intelligence user Acceptance. The conceptual model planned and data collected between mobile business intelligence users and quantitative method used. The collected data, analysed by SPSS software. The result of data analysis exposed that how factors such as organization climate, information quality, system quality, society effect and individual effect were influenced user acceptance in mobile business intelligence applications.

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“…[18]. DOI is one of the dominant theories used to examine adoption of IT innovation over the prior two decades [19].…”

Section: Theoretical Backgroungmentioning

confidence: 99%

The Effective Factors on User Acceptance in Mobile Business Intelligence

et al. 2014

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“…In the manufacturing industry, managers and engineers are seeking to find methods in order to eliminate the common problems in manufacturing systems such as bottlenecks and waiting times [1]. This is because that all of these kinds of problems impose extra cost to the companies [2].…”

Section: Introductionmentioning

confidence: 99%

Application of Computer Simulation for Productivity Improvement of Welding Unit in a Heater Manufacturing Industry: A Case Study Based on Arena

et al. 2018

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Firm’s efficiency and competitiveness are two important challenges in today’s global market that have motivated many manufacturing firms to plan novel manufacturing management strategies. Nowadays, simulation models have been used to assess different aspects of manufacturing systems. This paper introduces a welding unit of a manufacturing line of heater production as a case study and the basic application of the ARENA software. The main goal of this paper is increasing the productivity of the production line by using computer simulation. To achieve this goal, three various scenarios are compared and suggested to obtain the better improvement in productivity.

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“…Computer simulation is an useful method to analyze the different systems such as manufacturing system, construction process and energy analysis [9]. Software such as Energy Plus, Transys and Ecotect are common for facilitating energy analysis and building simulation [10,11].…”

Section: Introductionmentioning

confidence: 99%