Over the past decades, the growth and development of information technology (IT) has brought a wider variety of innovative applications and services. Since IT can always satisfy the requirements of human, those large enterprises which need to reduce cost and labors, and make the largest profit will think of what IT can do for them. Thus, BPM (Business Process Management) come with the tide of fashion, and attracted many businesses’attention. BPM has prevailed for many years and there are many applications developed by many companies. Workflow is another synonym for ‘business process’and workflow management system is an important management system in many enterprises and institutes. There is also a flow engine product in the market to help develop flow management system. Workflow management system is applied to many large businesses, but not every government institutes can develop the mutual related systems since each subordinate has its own organization structure and most of their scale is not large. In this project, we take a medium scale of government institute as an example, through the support of IT, we hope to create a basic framework for all kinds of forms, and integrate the related systems. This paper also proposes a solution of architecture combining service-oriented architecture (SOA) and business process management (BPM).
Writing sustainable, power efficient and green software necessitates understanding the power consumption behavior of a computer program. One of the benefits is the fact that developers, by improving their source code implementations, can optimize power consumption of a software. Existing power consumption models need to be improved by taking into account more components susceptible to consume energy during runtime of an application. In this paper, we first present a detailed classification of previous works on power consumption modelization. Then, we introduce TEEC (Tool to Estimate Energy Consumption) model in order to estimate the power consumed by CPU, memory and disk due to the execution of an application at runtime. The main goal is to guide developers to improve their source code for optimizing energy consumption. TEEC enables determining the part of the code consuming the highest power. This will help to obtain a less energy consuming software with the same functionalities.
This paper presents an approach for building data collections and cloud services required for building intelligent transport applications. Services implement Big Data analytics functions that can bring new insights and useful correlations of large data collections and provide knowledge for managing transport issues. Applying data analytics to transport systems brings better understanding to the transport networks revealing unexpected choking points in cities. This facility is still largely inaccessible to small companies and citizens due to their limited access to computational resources. A cloud service oriented architecture opens new perspectives for democratizing the use of efficient and personalized big data management and analytics.
The current study examines how advertising in video games are received by players and spectators. To test how the design of the advertisement affects the player/spectator, respondents were exposed ...
Buildings (both commercial and residential) are known to have the greatest percentage of overall energy consumption than any other end-user sectors, such as transportation and industry factories. An obvious question for energy consumption analysis is how to reduce building energy consumption. This paper investigates whether buildings with eaves consume significantly less energy compared to those without eaves. Results show that the eaves effect can reduce energy consumption without exception. Specifically, the average energy consumption reduction with eave exceeds 10% for high or low latitude and hospital and hotel. The methodologies applied integrate several computer-supported cooperative tools, including a building-simulation tool called EnergyPlus and a simulation meta model.
Chinese Herbal Medicine Industry (CHMI) is a historical, cultural and distinctive industry in Taiwan. In fact, the major customers and consuming groups of this industry are elders or people who live around neighborhood. Unfortunately, the existing customers lose gradually since the young customers or new consuming groups have not been developed or introduced to try the Chinese Herbal Medicine. Subject to the massive item amounts and limited expiration date, the companies stay at this industry still trade by following the traditional way such as receiving the orders by phone or fax then delivering the goods personally. The customers seldom combine or integrate the same requirement to place the orders on website not to mention trade on the innovative business platform. In this study, we will construct clustering industry e-commerce platform and innovative business management model to improve the efficiency and enhance the competitiveness of the CHMI. (1) Clustering industry e-commerce platform Establishing the uniform item name and prescription content will be assist in smoothing the inventory adjusted procedure and delivery schedule. This platform focuses on the process flow, inventory management system of the raw material, semi-product and finished –product. The inventory management is more reasonable and effective by implementing the demand forecasting function, besides, the material requirement planning (MRP) of the Chinese medicine will also be implemented and contributes benefits for establishing the safe stock and re-order point. (2) Innovative business management model Establishing customer relationship management (CRM) database will strength the relationship not only for Business to Business (B2B) but also for Business to Customer (B2C). This database will be a benefit for providing more individual service to specified customer by analyzing the historical trading records. This integrated model will decrease the inventory for the trader, manufacturer, wholesaler and retailer. Besides, the bullwhip effect and stock level in the supply chain will be alleviated remarkably. This study institutes six key performance indices to evaluate the performance and achievement of Chinese herbal medicine industry after establishing the e-commerce and clustering industry website. These KPIs are average turnover rate, medicine wasting rate, purchasing operation efficiency, data error rate, processing automation level and inventory level.
Although service innovation has long been considered crucial for economic development, systematic and comparable empirical evidence elaborating the activities and effects of service innovation, particularly from a smalland medium-sized enterprise (SME) perspective, is limited. To fill this research gap, this study focused on the innovative behaviors of SMEs in service industries to clarify the relationships amongst the patterns, outcomes, and impact of information technology (IT) use. In this study, 103 SMEs in the tourism and food service sectors receiving sponsorship from the Taiwanese government between 2006 and 2011 were analyzed. The results indicated that service innovation projects initiated by SMEs tend to implemented using a multifaceted approach with the goal of accessing new markets and new customers. The short-term outcomes of these service innovation projects were reflected mainly in revenue and new product and service offerings. In addition, IT was determined to be crucial in facilitating service innovation, but not a necessity. Finally, to align with the nature of the service industry and the industry life cycle, SME-based service innovation tended to focus on commercial and softer aspects, which reflected the key differences between firms of manufacturing sectors and SMEs in typical service sectors in terms of research and development patterns and focus.
Manufacturing industries employ innovation and differentiation strategies to enhance their competitiveness. Other than that, when faced with a market demand for small quantities and wide varieties, how to reduce production costs and at the same time provide high-quality products has become a critical issue for manufacturing industries nowadays. Recently, the application of Radio Frequency Identification (RFID) has become increasingly popular and the utilization of RFID technology can almost fully synchronize the real logistics and information flow of data transmission. At present, manufacturing industries apply one-dimensional bar codes and two-dimensional bar codes to aid in production, but man power is required in the process. In this study, the benefit of RFID in automatic identification is reviewed and its application in automobile assembly to obtain information in real time is explored. The system prototype in this study mainly acts to transfer real-time information about products on an assembly line to a back-end system for calculations, processing, and on-hand stocking of parts, and to record the assembling resume for the use of back-end managers and assembly staff. It is hoped that this technology can function in accordance with the concept of just-in-time (JIT) plant inventory management and reflect the spirit of lean production to efficiently meet actual demand.
Radio Frequency Identification (RFID) is a technology that changes the nature of many industries. The readiness to implement RFID affects the effectiveness of company itself and corresponding supply chain members in adopting this technology. This manuscript proposes a framework which covering organization, environment, and technology three facets - with two metrics for each facet. The proposed framework is used to evaluate RFID readiness on a dataset of 32 representative firms in the automotive industry. Analysis shows that all three facets are associated with each other and expected value, managers’ commitment, as well as network infrastructure are the key factors that influence the intent of adopting RFID in the case industry.
