This paper considers an online retailer and his or her manufacturer, both facing financial constraints wishing to get loans from their e-commerce platform-backed finance company. Based on shared transaction data monitored sales accounts, a tripartite loan contract is proposed coordinate three parties’ actions in this supply chain financing problem. We prove that the aligns decentralized decisio...

INTRODUCTION A preliminary step toward achieving decision-making for complex problems has been increasing recognition of the role of spatial information to generate knowledge, provide added value to identify problems, assist in proposing alternatives and defining a course of action, information discovery, access and use (Williamson et al., 2003). The importance of spatial information to support...

In this work, we present a novel framework that comprises four stages of process modeling and multiobjective decision-makings considering monetary and non-monetary aspects. Four stages in early design phases are considered and characterized by the available information for process modeling and assessment. Appropriate modeling methods, and evaluation indicators for economy, life-cycle environmen...

This paper presents a series of completed and ongoing studies that are aimed at understanding the role of the Wikipedians’ rationales in the Wikipedia discussions. We define a rationale as one’s justification of her view-point and suggestion. Our studies demonstrate the po-tential of leveraging the Wikipedians’ rationales in the discussions as resources for future decision-makings and as resour...

UML Profile for MARTE is an extension of UML in the domain of real-time and embedded systems. In this paper, we present a method to evaluate throughput and response time of systems described in MARTE models. A MARTE model we consider includes a use case diagram, a deployment diagram and a set of activity diagrams. We transform a MARTE model into a network of timed automata in UPPAAL and use UPP...

In this study, performance of classification techniques is compared in order to predict dividend policy decisions. We first analyzed the feasibility of all available companies listed in the Korea Exchange (KRX) market as dividend data sets by using classification techniques. Then we developed a prediction model based on support vector machines (SVM). We compare the classification accuracy perfo...

In process-driven software development environment, process management plays an important role during the process execution. In order to achieve effective management of sofiivare processes, managerial decision makings on development process need to be based on the analysis of the software processes regarding the development environment. In this paper we propose a new approach to process managem...

The report attempts to deliver a proof of concept that optimal planning and management strategies can be formulated through applying robust optimization methodology such that limited resources could be allocated more rationally, and reliability of a highway network improved more efficiently. The report focuses on two applications: the network design problem under demand uncertainty, and fleet a...

In order to provide more precise decision-makings for agricultural producers, an intelligent forecasting system is proposed for agricultural applications in this paper, which processes data stream collected from agricultural environment applying WSN (Wireless Sensor Network) technology. Sensor data stream is different from other traditional stream, the former is characterized by real-time, sequ...

Bochum, Germany, pages 899 904, 1996. Con uent Preorder Parser As A Finite State Automata HO, Kei Shiu Edward CHAN, Lai Wan Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong email: [email protected], [email protected] Abstract. We present the Con uent Preorder Parser (CPP) in which syntactic parsing is achieved via a holistic tra...