• Journal of Korean Institute of Industrial Engineers
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• v.38 no.2
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• pp.116-124
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• 2012

This paper concerns a joint replenishment problem for a single buyer who sells multiple types of items to end-customers. The buyer periodically replenishes the inventory of each item to a preset order-up-to-level to satisfy the end customers' demands, which may be non-stationary. A joint replenishment policy characterized by variable order-up-to-levels is proposed for the buyer who wishes to minimize the expected cost of operating the retail system. The proposed policy starts each period by calculating the expected cost of ordering and not ordering action based on the information of the current inventory position and forecasted demand for the upcoming period. It then takes advantage of an integer programming model to get a cost effective joint replenishment plan. Computer experiment was performed to test efficiency of the proposed policy. When compared with the most efficient policy currently available, our policy showed a considerable cost savings especially for the problems having non-stationary demands.

• Korean Institute of Interior Design Journal
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• no.34
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• pp.157-164
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• 2002

Online business these days prone to approach their costumers with improved module and various interface via Internet. This is more than just an act of providing enhancement, but a mean of finding out the customer's demand by enlarging their selection. This, however, is related to the bits per second of supplemental service network.For example, supplemental services that were not possible in the 56K modem era are now possible due to the information super highway network. To grope for new means of approaching, the best way will be by developing media that will collect customer's demands. Until now, customer's demands were evaluated by miniatures of apartment building, model houses or rendered images produced by 3D graphic softwares and pictures. Analyses were not available until evaluation were produced.Nowadays, utilizing the advanced Internet interface tools and various new media, customers are sought before the construction thus various studies to full fill the customer's demands are in process. This study is on development of a virtual module utilizing activated web environment. Analysis modules repeating the changes in customers are expected to deliver us a new trend.

• Journal of Korean Institute of Industrial Engineers
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• v.31 no.3
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• pp.210-218
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• 2005

In the current global business environment, it is very important how to allocate products from the producer to buyers (or distributors). Sometimes some buyers can order more than pertinent demand due to inappropriate forecasting customers' orders. This is the big obstacle to the efficient allocation of products. If the producer can become aware of buyers' pertinent demand, it is possible to realize the high-level order fulfillment through the effective allocation of products. In this study, a new allocation policy is proposed considering buyers' demands. The backpropagation algorithm, one of algorithms in neural network theory, is used to find pertinent demands from the distributors' orders. In the experiment, an allocation policy considering buyers' demands outperforms previous allocation policies.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.65
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• pp.81-88
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• 2001

In logistics decision making, Key elements in the design of any physical distribution are the location of depots and the distribution of goods from the depots to the customers. Considering open and close the depots, This paper presents a flexible analysis on the combined location-routing problem(LRP) the case for variation capacity of vehicle and customers demands each. The scenario examples are given the use of heuristic(Saving-Drop) in LRP types. The results is useful in apply to the logistics environment changes.

• Journal of Fashion Business
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• v.12 no.3
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• pp.167-174
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• 2008

The purpose of this study was to categorize customers types in accordance with current shop masters' perception of difficult customers and to identify their responding techniques and know-hows in dealing with those customers in detail, a qualitative study is carried out by conducting thorough interviews with the shop masters. The interview contained questions on occupational hold-ups of shop masters, types of hard-to-handle customers, techniques in handling difficult customers, their know-hows in customer managements and what they perceived as the qualities of a shop master. T The results were as follows: 1) Customers who are perceived as difficult by shop masters are categorized into six types, making unreasonable demands, pointing out product defects, disregarding salespersons, making no purchase after testing products, having no personality and having no response. 2) Responding techniques for difficult customers were categorized into three types, 'active response', 'standby' and 'polite refusal'. 3)The result from the question on know-hows of shop masters in customer management can be divided into 4 groups, providing special treatment or information, building one-to-one relationship with the customer, suggesting garments in accordance with the customer's taste and providing friendly customer service. 4) For the question on perceived qualities as a shop master, individual quality, customer management capacity, work experience and occupational knowledge were answered.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.7
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• pp.1128-1134
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• 2016

Demand response provides customer load reductions based on high market prices or system reliability conditions. One type of demand response, price-based program, induces customers to respond to changes in product rates. However, there are large-scale general and industrial customers that have difficulty changing their energy consumption patterns, even with rate changes, due to their electricity demands being commercial and industrial. This study proposes an in-house pricing model for large-scale general and industrial customers, particularly those with multiple business facilities, for self-regulating demand-side management and cost reduction. The in-house pricing model charges higher rates to customers with lower load factors by employing peak to off-peak ratios in order to reduce maximum demand at each facility. The proposed scheme has been applied to real world and its benefits are demonstrated through an example.

• Korea Journal of Hospital Management
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• v.26 no.2
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• pp.68-78
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• 2021

Background:The purpose of this study was to identify factors influencing on hospital choice of the general hospital among customers with loyalty in Mongolia. Methods:This study was divided into 5 types of hospital choice factor such as physical, human, efficiency, accessibility, and hospital image. Data were assessed using 229 patients who visit at a general hospital in Mongolia. The collected data from June 20 to July 20 in 2020 were conducted the self-administered questionnaires and analyzed frequency, t-test, ANOVA, and logistic regression by using SPSS 25.0. Results:The level of education was significant in the mean difference of customer types by demographic characteristics. Expecially, factors affecting hospital choice of loyalty customers were human and hospital image. Conclusion:This study suggests that it is necessary to understand present and potential consumer's needs, wants, and demands. Also, it is important to concern about aspect of marketing strategy of the general hospital in Mongolia.

• International Journal of Quality Innovation
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• v.8 no.3
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• pp.71-80
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• 2007

Apart from the customer demands themselves, the weightings of the customer demands are one of the main input data of a QFD (Quality Function Deployment) and furthermore of the actual construction process of products. Up to now, most interviews with stakeholders have been carried out with questionnaires and then absolute weightings have been used. Now it has been analysed if the use of other interview and evaluation techniques, e.g. relative weightings and Analytic Hierarchy Process (AHP), can improve the precision of the demands and wishes of the stakeholders. Now the task was to analyse if the use of relative weightings as input of a QFD is possible at all, how they have to be adapted and if an increase in precision compared to the use of absolute weightings is reached. When using AHP during the product development it has become clear that only up to seven demands can be rated at the same time by customers. That means that a kind of hierarchy has to be developed to correctly transfer the demands and their weightings into the QFD.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.823-829
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• 2020

In this competitive era, it has become a prerequisite for the financial firms providing banking services to understand and meet the customers' needs and demands to remain competitive in today's market environment. Without satisfying the customers, banking business cannot stand alone. To satisfy customers, it is often recommended to provide better quality banking services to the bank customers. Providing quality banking services has become a prime strategic tool for the banking sector nowadays. Therefore, the study investigates the effect of various dimensions of service quality of banking service on customer satisfaction in a developing country, Bangladesh. A total of 212 walking Bangladeshi banking customers participated in this research. A structured questionnaire was developed based on past research. SPSS is utilized for analysis and Likert scale was used in this study. Internal consistency of all items was found correct and a total of seven hypotheses were proposed. For testing, a 5% significance level is considered for acceptance of hypothesis. The findings show that, except employee competency, all other variables such as reliability, assurance, tangibles, responsiveness, empathy, and access to service have positive influence on customer satisfaction. The study provides policy implications for the management boards of the banking sectors.

• Information Systems Review
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• v.12 no.1
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• pp.1-22
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• 2010

Demands onenterprise applications are changing drastically in terms of service and value. Currently enterprises have started to view these applications as service systems, as they combine technology with organizational networks designed to deliver services that satisfy the needs of customers and marketing operations. Social networking is playing a crucial role in this direction and provides organizations with the critical data that enable to build strong relationships with their customers and partners. Enterprises have started using this concept, by integrating social networking services with their enterprise applications such as CRM. In this paper, we combine an open source social networking engine with a CRM (Customer Relationship Management) application to constitute a social CRM system. This can bring the customers closer to the enterprise and facilitate better communication with them. Social Networking Analysis constructs were used to analyze the effectiveness of service system. In the current competitive and economically challenging conditions, salespeople needs to quickly and effectively establish meaningful communication with customers. Our approach can address this issue, by handling the changing customer demands in minimal time, and increases service quality and business value.