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Cloud computing has emerged as a new computer term that relates to provide reliable computing environments, based on a better quality of service and availability of the infrastructure without a major financial burden. The cloud computing has become a very active area of research, with the emergence of business process management (BPM) in the cloud, where the adoption of BPM with Cloud Computing has...
The paper develops a model of heuristic negotiation between self-interested agents. The bargaining process involves multi-issue negotiation. The agents are modeling different strategies during negotiation and are able to improve their abilities with experience. The behavior of the agents is directed towards the gain obtained when the goals are satisfied. The details of the previous interactions are...
A simulation model that allows for finding solutions to improve production efficiency by means of consideration of interaction between innovative products and computation of the moment of its launch was developed. The model created on AnyLogic 7 platform is a multi-agent and uses the econophysics approach. Every innovative product developed in a company is a population of agents, and the copies of...
Since their introduction, automated storage and retrieval systems (AS/RS) give a better solution for the inventory management in industrial companies and distribution centres to improve theirs performances. The main objective of the paper is to offer a performance comparison between two kinds of AS/RS (Free-Fall flow-rack and classic flow-rack), to highlight the benefits of using FF-flow-rack AS/RS...
In this paper, we consider a real-life heterogeneous fleet vehicle routing problem for retail construction material stores. A modified cluster first-route second algorithm is deployed to fit a real-life problem. In cluster first, the clusters of customers compatible with vehicle capacity are grouped together. In route second, the mathematical model is developed and solved by General Algebraic Modeling...
MapReduce has emerged as a popular programming model in the field of data-intensive computing. This is due to its simplistic design, which provides ease of use for programmers, and its framework implementations such as Hadoop, which have been adopted by large business and technology companies. One significant issue in practical MapReduce applications is data skew: the imbalance in the amount of data...
Cloud computing (CC) is a maturing concept that is changing the way information technology is deployed globally. The promotion of CC with an expected impact of transforming the competitive landscape introduced the need to make strategic decisions whether to adopt this technology or not. Organisations world-wide need to take a position amongst the maze of promises as to the benefits of cloud computing,...
Decision making is a difficult task over the complex, spirited and competitive environment. A variety of research provides diverse notification for individual failure in making logical decisions under certain circumstances by applying normative approaches. In today's competitive market, the advance of technology is closely related to consumer needs for the extraction of good quality products at less...
Nowadays, gaming industry has become one of the fastest improving industry in the world. Furthermore, with the focused on development of powerful open source games development kit, namely Unity. This research will be called “Bezier VFX Plug-in”. Using this plug-in, the author will implement the algorithm to improve the visual effect performance. As the number of the games developed by Indonesian developers...
Small and Medium-sized Enterprises (SME) are economic catalysts whose needs should be at the heart of each country's policymaking priority. Either for Large Enterprises or SMEs, Enterprise Resource Planning (ERP) systems are one of the most discussed subjects on the Information System (IS) research field. Their successful implementation promises a 360-view of the business activity, a more consistent...
Tables are significant document components. Table extraction and classification are critical for us to explore, retrieve and mine knowledge encoded in tables. This paper presents a learning based approach for classifying tables based on their content and structural information, with focus on financial document tables. To the best of our knowledge, this is the first study on classifying tables in financial...
This paper highlights some of the primary concerns about simulation recently raised by academics and practitioners. These concerns influenced the creation of a successful simulation project that improves the check-in at Congonhas Airport in São Paulo, Brazil. Use of simulation was essential in Congonhas because, although significant growth in the number of passengers has occurred over the last decades,...
In this paper, we focus on a scenario in which a company or a set of companies conforming a supply network must deliver a complex product (service) composed of several components (tasks) to be processed on a set of parallel flow-shops with a common deadline. Each flow-shop represents the manufacturing of an independent component of the product, or the set of activities of the service. We assume that...
There has been an increase in the study of discrete simulation projects; however, literature lacks the topic of effectively managing these projects. Therefore, in this research, some principles from project management were applied in a discrete event simulation project. The action research method was used to implement the study. The ten knowledge areas from PMBOK®'s (2013) project management theory...
E-commerce has become an increasingly relevant business in Southeast Asia. Effective warehouse management in terms of order picking is a key competitive advantage in this industry. Fashion products are particularly difficult to efficiently manage in a warehouse as they have high demand variability, with a short shelf-life and very little replenishment. In this work, after a detailed analysis of demand...
We develop a framework for warm-starting Bayesian optimization, that reduces the solution time required to solve an optimization problem that is one in a sequence of related problems. This is useful when optimizing the output of a stochastic simulator that fails to provide derivative information, for which Bayesian optimization methods are well-suited. Solving sequences of related optimization problems...
There has been many previous studies that discuss the control for the production of coconut flour and raw material inventory. But a system or a computer-based model for coconut flour industry in North Sulawesi has not or does not exist. For that reason, coconut flour industries also require tools on in running the business as developed in this study. The problem in this research is how to make the...
Despite the promising future of cloud computing to be successfully adopted for SMEs's daily operations, researchers, policy makers and SME owners are still grappling with how effective cloud computing could be customized to monitor respective SME performances. The literature review revealed that there is still a lack of research on the post-adoption of cloud computing, particularly concerning the...
Several issues of ethics can arise in the development of cloud computing. Cloud computing may seem like a rather unclear term, so we can have a look at the issue and its impact. Cloud computing is basically computer storage like a service that users can use cloud computing to store their files and retrieve them whenever they want, or use the cloud computing's power to edit or collaborate on files,...
For many years, there are tendencies to support collaborative work of companies of the energy sector, but only the arrival of cloud computing open the door for the implementation of these ideas and aspirations. This actually means a transition to advanced business model and platform with possibilities for launching energy efficient convergent services. From currently available cloud deployment models,...
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