Abstract: As the shipping service has become similar standard, to seek for expansion and competitive advantages, the industry would either increase its quality or decrease operating costs. Although it was highly competitive in the industry, as the corporations have become internationalized, many logistics were dependent on the shipping transportation. The purpose of this paper is to analyze efficiency and productivity growth of shipping company in the world for the period 2000–2010. The Malmquist Productivity Indexes was based on the distance functions to decompose the productivity growth into two mutually exclusive components: technical efficiency change and technical change overtime, which measures the change in efficiency frontier shift. From the results, we know that pure technical efficiency and scale efficiency change during the financial crisis is worse.
Abstract: UAV operations have increased steadily during the past several years in both the public and private sectors in Korea. However, there are many limitations for installation of ground based navigation-aids in Korea because 70 percent of its geography is mountainous. Furthermore, airspace for civil aircraft operations is very limited due to military operating areas and restricted airspaces established by military. This paper is a study on measure for integrating SmartUAV safely and smoothly within current airspace for manned aerial vehicle operation and expanding SmartUAV’s operability. This study is approaching SmartUAV in operational side not developmental side, looking into ways of expanding UAV operability by adapting it to existing navigable airspace and ATS.
Abstract: In daily life, it is unavoidable to make a lot of different decisions. Unfortunately, people are not optimal decision makers and do not act rationally when selecting the desired product . To help people select the “right” product to meet their needs, a customizable model based on the fuzzy algorithms is proposed in this study. The linguistic triangular fuzzy variables are used to quantify the judgment intensities to establish the customizable model. The relationship between individual’s needs and product alternatives are constructed by using the fuzzy inference and fuzzy distance algorithms. With the program created in this research, the user will be able to customize the product and obtain the suggested combination of alternatives that fits the user’s needs by selecting the required linguistic terms. A bicycle is chosen as the objective product for a case study in this research and this proposed model can also be used with other products.
Abstract: The purpose of this paper is to propose representations for bicycles with creative characteristics. First of all, many creative bicycles are collected from references and websites. Then, these bicycles are analyzed and arranged one by one to find creative characteristics. Finally, the representations for creative bicycles are proposed. The construction elements of bicycles can be classified into 3 kinds: functional elements, shape elements, and material elements. For the functional elements, they are classified into 14 kinds, and controlling, moving, input elements are necessary for bicycles. There are two types of constructions for bicycles. One is bicycle with frames, another is without frames. Bicycles with frames always have wheels connected and should be represented from frames as start. Bicycles without frames can be represented from controlling, moving, or input elements as start. The relationships for functional elements are mergence and combination. The most important result of this paper is the functional elements representations are proposed for bicycles with creative characteristics. By using graphs and symbols, bicycles can be represented simple and quickly for concept development.
Abstract: Natural hazards, such as estern Japan earthquake in 2011 and human-induced crises, such as the bankruptcy of Lehman Brothers in 2008, is harmful to global supply chain management. Therefore, a need exists to rethink the methodology for responding to crises. It is well known that the bullwhip effect due to order forecasting and demand fluctuations decrease supply chain efficiency. Compared to the conventional bullwhip effects, short-lived demand changes caused by unexpected natural disasters or a financial crisis can adversely affect supply chain performance. This work discusses the effects of four ramp-type demands using a novel supply chain cost model. Ramp-type demand increases within a short period can lead to profit loss; and consequently, an appropriate pricing strategy should be adopted. Based on price elasticity, demand types and their lifetimes, and supply chain parameters, the price premium can be determined to obtain the highest profit. Simulation results provide guidelines for supply chain managers dealing with demand fluctuations due to natural or human-induced crises.
Abstract: In manufacturing industries, various problems may occur during the production process. A problem is a complex status which involves relevant context in working environments. A problem-solving process is often initiated to create a solution for achieving the desired status; in this process, determining how to obtain a solution from the various candidate solutions is an important issue. In such uncertain working environments, context information provides rich clues for problem-solving decision making. Therefore, this work uses a selection approach for an optimized problem-solving process to assist workers in choosing a reasonable solution. A context-based utility model explores the problem context information to obtain the candidate solutions’ actual utility values; a multi-criteria decision analysis uses the actual utility values to determine the optimal selection order of candidate solutions. The selection order is presented to the worker as an adaptive knowledge recommendation. The worker chooses a reasonable problem-solving solution based on the selection order. This paper uses a high-tech company’s knowledge base log as the analysis data. The experimental results show that the chosen approach to an optimized problem-solving solution selection is effective. The contribution of this research is in demonstrating a method which is easy to implement in a problem-solving knowledge recommendation system for selecting a reasonable solution.
Abstract: This study aims to establish a bi-objective imperfect preventive maintenance (BOIPM) model in which the total maintenance cost and the mean system reliability are optimized by determining the maintenance periods and maintenance activities simultaneously. To efficiently solve the established BOIPM model, this study proposes an improved particle swarm optimization (IPSO) algorithm. The IPSO extends the practicability of the conventional PSO originally designed to solve an optimization problem with continuous decision variables. Furthermore, time-varying mechanisms associated with search parameters of the PSO are utilized to enhance the particles search capability. An adjustment mechanism addressing the issue of particles falling into the infeasible area is constructed to enhance the exploring ability of the IPSO. A case verifies the effectiveness of the proposed approach.
Abstract: The objective of scheduling is to maximize capacity utilization, minimize work-in-process inventory and ensure timely delivery. The due windows problem proposes that jobs should only be finished within the time interval that meets customer needs. This research applies integer programming (IP) and ant colony optimization (ACO) to solve due window problems in a flow shop with multiprocessors (FSMP). To improve the performance of jobs within due windows, this research splits them into different numbers of processing lots so they can be processed on more than one machine simultaneously. This shortens the total weighted earliness and tardiness of the jobs. The ACO is applied as a heuristic tool for solving the scheduling problems, and the solution results show that ACO has good validity, robustness and effectiveness.
Abstract: Process capability indices, Cp, Cpk, and Cpm, are well-known indices used widely in the manufacturing industry for measuring process reproduction capability according to manufacturing specifications, but limited to cases with single engineering specification. Therefore, for processes where the quality characteristic is the location relative to a specific location, they can not provide an effective measure. In this paper, we propose a process loss index LG to evaluate the process capability for this issue. Based on the index, we provide the corresponding transformation for production yield. In addition, we tabulate some critical values for process loss index LG to judge if the process capability is capable. The proposed method is useful for the practitioners to measure the process loss and determine whether a process meets the present process yield requirement.