• International Journal of Quality Innovation
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• v.9 no.1
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• pp.181-187
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• 2008

Every company tries to know who the best and idealistic customers are and how to identify them by use of the special methods. To solve this problem the diamond model of customer stratification, which is the conceptual model, is introduced in this research. We modified the customer stratification model developed by Narayanan et al. (2007). By use of this model we can find out the most profitable customers and then we can plan to improve the profitability of the rest customer groups.

• Journal of Korean Society for Quality Management
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• v.19 no.1
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• pp.95-102
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• 1991

This paper is concerned with the production-distribution problem with multiple conflicting objectives. In reality business firms should take account not only of the profit maximization but of various environmental criteria, namely customer services, in order to improve the business logistics. A production-distribution model of goal porgramming type considering the lead time and distribution cost by products is constructed, the solution algorithm is developed, which is based on the Ignizio's method. A numerical example is given to demonstrate the applicability of goal programming for production-distribution problem.

• Journal of Navigation and Port Research
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• v.40 no.4
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• pp.223-230
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• 2016

While marine transport freight is steadily increasing, people are more interested in terminals handling cargo. But the domestic researches on terminals were almost on container terminal. This study attempted to study the service quality for bulk terminals. The users of bulk terminal services were divided into shipowners and shippers to compare their differences by using bulk terminal service provided. During the attributions proposed in this study, Tangibles were descripted by the numbers of berth or depth, facilities, and so on. So it was suitable to consider the tangibles by formative indicators. And also this study has tried using "reflective model" and "formative model" to make a measurement model for comprehensive analyses. The results showed that all of the items were significant except the relation between empathy and performance satisfaction in the overall measurement model analyses. User groups difference analyses results have showed that the trust responsiveness impact on performance satisfaction was more importantly assessed by shippers than by shipowners. It was expected to use the results of this study as a good strategic resource to help bulk terminal administrators make various expansion plans to improve the bulk terminal's competitiveness in the future.

• Magazine of RCR
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• v.9 no.4
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• pp.33-41
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• 2014

• International Commerce and Information Review
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• v.8 no.2
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• pp.165-183
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• 2006

Sea transport industry is service industry and basic industry that permit efficient division of the human and material resources of industry. Also, owing to geographical situation which korea is having, utilization ratio of sea logistics industry is high than other transport ways. Sea transport industry chieves role that promote economy activity of other industry field as well as offer of transport way. Specially, because unit anger of freight by container is introduced, it was achived reduction of transport unit cost and mechanization of loading and unloading by this result. For efficeint connection of each other transport, contianer had offerd to large ship. Quality of service has much dimensions, and is considered while it is important that understand quality of service of sea transport industry through marketing and research of customer connection field because perceive of quality of serviceis different in shipowner/service viscount or shipper/freight owner. This research presented decision factors of sea transport quality of service which shipper and transport agent recognize under these background.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.99-105
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• 2008

For large-scale projects, supply chain management of construction materials is a key to a successful construction project. Inefficient management would cause significant loss in project cost, quality problems (and possible re-work), delayed delivery, claims, etc. On the other hand, efficient supply chain management system can reduce risks even the given project suffers from tricky details and frequent changes thanks to reduced material loss, shortened delivery time, and the quality outcome; this is a win-win situation for both clients and contractors. This paper presents a next-generation intelligent supply chain management system, which is intended to support large-scale construction projects such as urban high-rise buildings, as a strategic vision of the future construction logistics.

• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.211-238
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• 2013

The Port Logistics Information System (Port-MIS) is the system that processes all of port management such as entry and departure of ships, using facilities within ports, port traffic control, cargo entering and carrying and tax collection in 31 trade ports over the whole country. Lately, The Port Logistics Information System (Port-MIS) has been reformed as a WEB-based system and established basis to provide real time information support structure, diversification of civil complaint system, and optimized civil complaint service by using wire and wireless internet. The typical study on the Port Logistics Information System was C/S program and EDI-centered. But it has significance to study on service quality measurement of WEB Port-MIS that has been served as a new web-based platform since April 2010, for there was no such a study until now.

• IE interfaces
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• v.24 no.4
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• pp.281-294
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• 2011

This paper considers the rail crane scheduling problem which is defined as determining the sequence of loading/unloading container on/from a freight train. The objective is to minimize the weighted sum of the range of order completion time and makespan. The range of order completion time implies the difference between the maximum of completion time and minimum of start time of each customer order consisting of jobs. Makespan refers to the time when all the jobs are completed. In a rail freight terminal, logistics firms as a customer wish to reduce the range of their order completion time. To develop a methodology for the crane scheduling, we formulate the problem as a mixed integer program and develop three metaheuristics, namely, genetic algorithm, simulated annealing, and tabu search. To validate the effectiveness of heuristic algorithms, computational experiments are done based on a set of real life data. Results of the experiments show that heuristic algorithms give good solutions for small-size and large-size problems in terms of solution quality and computation time.

• Industrial Engineering and Management Systems
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• v.14 no.3
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• pp.299-311
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• 2015

Nowadays, the distribution centres aim to reduce costs by reducing inventory and timely shipment. Cross docking is a logistics strategy in which products delivered to a distribution centre by inbound trucks are directly unloaded and transferred to outbound trucks with minimum warehouse storage. Moreover, on-time delivery in a distribution network becomes very crucial especially when several distribution centres and customers are involved. Therefore, an efficient truck scheduling is needed to synchronize the delivery throughout the network in order to satisfy all stake-holders. This paper presents a mathematical model of a mixed integer programming for door assignment and truck scheduling in a multiple inbound and outbound doors cross docking problem according to Just-In-Time concept. The objective is to find the schedule of transhipment operations to simultaneously minimize the total earliness and total tardiness of trucks. Then, a multi-objective differential evolution (MODE) is proposed with an encoding scheme and four decoding strategies, called ITSH, ITDD, OTSH and OTDD, to find a Pareto frontier for the multi-door cross docking problems. The performances of MODE are evaluated using 15 generated instances. The numerical experiments demonstrate that the proposed algorithm is capable of finding a set of diverse and high quality non-dominated solutions.

• Journal of the Korea Society for Simulation
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• v.22 no.2
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• pp.85-91
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• 2013

Smart phones become essential goods for our life. As the technology are developing, and the market becomes saturated, it is important to understand the determinants affecting purchase of smart phones. In this paper, to understand these determinants factor analysis and binary logistics regression is used. Toward this, we first define the determinants into 3 categories: customer satisfaction, switching barrier, and switching attractiveness based on literature review. Furthermore, we develop 9 hypotheses to test with survey data using factor analysis and binary logistics regression. The results show that the six factors (data quality, price satisfaction, corporate image, the burden of new contract, attraction of devices and attraction of other competitors) are significant when customers buy smart phones.