• Industrial Engineering and Management Systems
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• v.9 no.3
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• pp.227-241
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• 2010

A memory module industry's supply chain usually consists of multiple manufacturing sites and multiple distribution centers. In order to fulfill the variety of demands from downstream customers, production planners need not only to decide the order allocation among multiple manufacturing sites but also to consider memory module industrial characteristics and supply chain constraints, such as multiple material substitution relationships, capacity, and transportation lead time, fluctuation of component purchasing prices and available supply quantities of critical materials (e.g., DRAM, chip), based on human experience. In this research, a directed graph-based supply network planning (DGSNP) model is developed for memory module industry. In addition to multi-site order allocation, the DGSNP model explicitly considers production planning for each manufacturing site, and purchasing planning from each supplier. First, the research formulates the supply network's structure and constraints in a directed-graph form. Then, a proposed genetic algorithm (GA) solves the matrix form which is transformed from the directed-graph model. Finally, the final matrix, with a calculated maximum profit, can be transformed back to a directed-graph based supply network plan as a reference for planners. The results of the illustrative experiments show that the DGSNP model, compared to current memory module industry practices, determines a convincing supply network planning solution, as measured by total profit.

• Journal of The Korea Institute of Healthcare Architecture
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• v.15 no.3
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• pp.61-69
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• 2009

This study has been started in order to provide basic information for the planning of Korean elderly care facilities by analysing For-profit elderly homes of Japan. Japan is famous for her high elderly proportion and also her fast aging speed. Therefore, Japanese experiences of trials and errors related to the supply of elderly homes will be a good guideline for Korea which is undergoing the sharp increase in elderly population. Data have been mainly collected from the official statistics of Japan and Korea. The outcomes of this study are as follows. At first, the definition of For-profit elderly homes of Japan has been proposed clearly. Secondly, the trends of them related to supply and operational characteristics have been analysed. Thirdly, the size and utilization rate of them have been analysed. And finally, the physical characteristics of elderly residences in For-profit elderly homes of Japan have been discussed.

• Journal of Navigation and Port Research
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• v.35 no.2
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• pp.179-185
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• 2011

This paper aims to examine the use of the Balanced Scorecard in a not-for-profit organization (the Korea Shipping Association). The KSA has begun using the Balanced Scorecard paradigm in its strategic planning process. In this paper an overview is presented of the basic concepts of the Balanced Scorecard including the financial perspective, customer perspective, internal process perspective, and learning and growth perspective. The accounting system and its pros and cons of the KSA are then surveyed in terms of its performance evaluation. The application of the Balanced Scorecard approach to the KSA is discussed in detail. Implications in using the Balanced Scorecard are discussed. Finally, conclusions regarding the use of the Balanced Scorecard in a not-for-profit organization are presented. Through this paper, the comprehensive understanding of the performance evaluation for not-for-profit organizations as the KSA would be promoted.

• Korean Institute of Interior Design Journal
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• v.22 no.1
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• pp.318-327
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• 2013

Elderly welfare housing refers to a residential facility with diverse medical and welfare services for cohabitation of elderly. Especially, community shared spaces in the elderly welfare housing plays an important role as a place for community and leisure activities that enhance vitality of elderly life. The purpose of this study was to investigate types, planning characteristics and actual utilization of community shared spaces in for-profit elderly welfare housing. Eight for-profit elderly welfare housing facilities in Seoul and Gyeonggi province were selected for this study and categorized into small-, medium- and large-scale facilities based on the number of housing units. Community shared spaces in the elderly welfare housing were classified into six space types: social space, education space, exercise space, medical space, convenience space and leisure space. Findings are as follows. Small-scale elderly welfare housing facilities with less than 100 housing units had fitness centers, clinics, restaurants, convenience stores and hobby rooms which were required by law. All community shared spaces were planned on a single level. Fitness centers was found the most frequently used while the other spaces were not used very frequently. Medium-scale facilities with 100 to 299 housing units had multi-purpose halls, libraries, swimming pools, indoor and/or outdoor driving ranges, physical therapy centers, saunas, karaokes and so on. Most community shared spaces were found frequently used. Large-scale facilities with 300 or more housing units had religion rooms, community halls, hair salons, pharmacies, etc. In most facilities, community shared spaces were planned in distributed locations.

• Proceedings of the KIEE Conference
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• 2008.11a
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• pp.418-420
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• 2008

The GENCO of competition in the market for profit maximization of business development for the study of how to build a facility plan. The total revenue for this thesis may be deducted from the total cost calculations and the cumulative profit, the result of cumulative profit through the profit and loss, and up to the turn-off to find a generator of canonicalization. Fortran, using a model to formally implement the program, and a graph that displays the results to build any power plants is the most efficient visibility of the eye can see.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.3
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• pp.48-54
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• 2010

S plastic injection molding factory located at Namdong Industrial Complex in Incheon produces plastic parts for semiconductor, vacuum cleaners, office furniture, etc. It produces the parts to customers' order and delivers them directly to customers at due dates using the trucks of freight company. In recent years, it has been suffered from the excessive production cost, high lost sales rate, rigid response to customers' order, and high delivery cost, which affect negatively on its profit. This paper introduces a case study on the profit increase through a newly proposed production and distribution method which applies a make-to-stock and multi-visit delivery strategy at S plastic injection molding factory. The proposed method is evaluated by comparing with the current method with respect to sales profit using the historical data of customer demand. It is confirmed through the computational experiments that the proposed production and distribution method yields almost double increase in profit resulted from the increased production, reduced lost sales, reduced production cost, and reduced delivery cost.

• IE interfaces
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• v.20 no.2
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• pp.186-194
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• 2007

Recent deregulation of Korean electricity industry has made each power generation company pay more attention to maximizing its own profit instead of minimizing the overall system operation cost while guaranteeing system security. Electricity power generation problem is typically defined as the problem of determining both the on and off status and the power generation level of each generator under the given fuel constraints, which has been known as Profit-Based Unit Commitment (PBUC) problem. To solve the PBUC problem, the previous research mostly focused on devising Lagrangian Relaxation (LR) based heuristic algorithms due to the complexity of the problem and the nonlinearity of constraints and objectives. However, these heuristic approaches have been reported as less practical in real world applications since the computational run time is usually quite high and it may take a while to implement the devised heuristic algorithms as software applications. Especially when considering long-term planning problem which spans at least one year, the complexity becomes higher. Therefore, this paper proposes an explicit column generation algorithm using power generation patterns and the proposed algorithm is successfully applied to a Korean power generation company. The proposed scheme has a robust structure so that it is expected to extend general PBUC problems.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.2129_2131
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• 2009

Since Jan. 2004, the Ministry of Construction and Transportation has partly introduced estimation system of historical cost data in order to reflect result cost of construction market to cost estimation for public construction. It is expected that the purpose of the introduction would be evaluated considering the long-term development of domestic construction industry. In article 3, paragraph 4 of the planning criteria of estimated cost of financial regulation related to government contract rule, the profit estimated by historical cost data indicates sales profit and it is calculated by multiplying the sum of direct cost, indirect cost and general overhead by rate of profit. Finally, it is said that rate of profit cannot exceeds 10%. However, there are a lot of constructions for electronic equipment in the electronic construction and the proportion of government furnished material is very high, not like engineering works or constructions. Therefore, as the proportion of material cost over direct cost is relatively lower, if current rate of profit (10%) is applied, there would be a wide difference of cost in the items of profit under the estimation system of historical cost data. This paper was conducted to examine estimation methods of the items of profit under the estimation system of historical cost data and suggest reasonable applications.

• Fashion & Textile Research Journal
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• v.9 no.5
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• pp.507-515
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• 2007

The purpose of this study was to investigate conditions conducting continuous business of men and women manager owned small apparel stores, and to compare differences on demographical characteristics of the managers, and then to reveal what conditions were important to make a profit in future by gender. Data were collected from 150 (71 from men and 79 from women) managers owned small apparel stores in Busan. The results showed as follows; Conditions conducting continuous business of women and men manager were five factors such as manger's commitment, grasping capability of the trend, employee, planning and capability on financial control. There were significant differences in the perception of gender, education, managerial period, non employment/employment and non experience/experience between women and men manager on the conditions. Also, in this study we revealed that men importantly perceived planning factor and women grasping capability of the trend to make a profit in future.

• Industrial Engineering and Management Systems
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• v.13 no.2
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• pp.231-249
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• 2014

This paper discusses a green supply chain with a manufacturer and a collection trader, and it proposes an optimal production planning for remanufacturing of parts in used products with quality classification errors made by the collection trader. When a manufacturer accepts an order for parts from a retailer and procures used products from a collection trader, the collection trader might have some quality classification errors due to the lack of equipment or expert knowledge regarding quality classification. After procurement of used products, the manufacturer inspects if there are any classification errors. If errors are detected, the manufacturer reclassifies the misclassified (overestimated) used products at a cost. Accordingly, the manufacturer decides to remanufacture from the higher-quality used products based on a remanufacturing ratio or produce parts from new materials. This paper develops a mathematical model to find how quality classification errors affect the optimal decisions for a lower limit of procurement quality of used products and a remanufacturing ratio under the lower limit and the expected profit of the manufacturer. Numerical analysis investigates how quality of used products, the reclassification cost and the remanufacturing cost of used products affect the optimal production planning and the expected profit of a manufacturer.