• 유통과학연구
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• 제9권2호
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• pp.97-109
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• 2011

As a marketing vehicle to survive in intensified retailing competition, retailer brand development has been adopted by retailers in Korea. As evidence, the retailer brand share of a major retailer, Tesco Korea, has grown from 20% in 2007 to 22.8% in the first half of 2008. It means that retailers have provided more and more retailer brand foods for customers. With the growing accessibility to retailer brand foods, it would be expected that the number of retailer brand food claims will increase. Customers have increasingly exposed to a variety of marketing activities conducted by retailers. When buying the retailer brand foods, customers tend to be affected by marketing activities of retailers. Despite the fact that customers trust retailers and then, buy their brand foods, in case of food accidents caused by production process, customers have to seek compensation from a retailer brand supplier. Of course, a retailer tends to shift its responsibility to its suppliers. Accordingly, it is not easy for customers to solve food claims. The research, therefore, aims at exploring the relationship between the buying-decision processes of retailer brand customers and which side takes legal responsibility for food claims. To effectively achieve the research aim, the author adopted a quantitative and a qualitative research technique, in order to supplement the disadvantages of each method. Before field research, based on the developed research model, the author pre-tested questionnaire with 10 samples, amended, and handed out to 400 samples. Amongst them, 316 questionnaires are available. For a focus group interview, 9 participants were recruited, who are students, housewives, and full-time workers, aged from 20s to 40s. Through the focus group interview as well as the questionnaire results, it was found that most customers were influenced by a retailer or store image in a customer's mind, retailer reputation and promotional activities. Surprisingly, customers think that the name of a retailer is a more important factor than who produces retailer brand foods, even though many customers check a retailer brand supplier, when making a buying-decision. Rather than retailer brand suppliers, customers trust retailers. That is why they purchase retailer brands. Nevertheless, production-related food claims is not involved with retailers. In fact, it would be difficult for customers to distinguish whether a food claim is related to selling or manufacturing processes. Based on research results, from a customer perspective, the research suggests that the government should require retailers to take the whole responsibility for retailer brand food claims, preventing retailers from passing the buck to retailer brand suppliers. In case of food claims, in order for customers to easily get the compensation, it is necessary to reconsider the current system. If so, retailers have to fully get involved in retailer brand production stage, and further, the customer awareness of retailer brands will be improved than ever before. Retailers cannot help taking care of the whole processes of retailer brand development, because of responsibility. As a result, the process to seek compensation for food claims might become easier, and further, the protection of customer right might be improved.

• Industrial Engineering and Management Systems
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• 제7권1호
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• pp.34-43
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• 2008

In recent years, many electronics producing firms have looked upon total quality management (TQM) strategy as a means by which they could maintain competitive advantage. This empirical research evaluates TQM strategic factors in order to determine the critical success factors in environmental uncertainty. Fuzzy analytic hierarchy process (FAHP) is the proposed research methodology to discuss and tackle the different decision criteria like effective leadership, people management, customer focus, strategic plan and process management, being involved in identifying the TQM strategic critical success factors with uncertainty. The result shows that effective leadership is the most critical success factor in TQM strategy.

• 제어로봇시스템학회논문지
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• 제4권6호
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• pp.802-810
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• 1998

The purpose of this study is to find the analytic solution of determining the optimal capacity of processes and storages to meet the product demand. Recent trend to reduce product delivery time and to provide high quality product to customer requires the increasing capacity of storage facilities. However, the cost of constructing and operating storage facilities is becoming substantial because of increasing land value, environmental and safety concern. Therefore, reasonable decision making about the capacity of processes and storages is important subject for industries. The industrial solution for this subject is to use the classical economic lot sizing method, EOQ(Economic Order Quantity) model, trimmed with practical experience but the unrealistic assumption of EOQ model is not suitable for the chemical plant design with highly interlinked processes and storages. This study, a first systematic attempt for this subject, clearly overcomes the limitation of classical lot sizing method. The superstructure of the plant consists of the network of serially and/or parallelly interlinked processes and storages. A novel production and inventory analysis method, PSW(Periodic Square Wave) model, is applied. The objective function of optimization is minimizing the total cost composed of setup and inventory holding cost. The advantage of PSW model comes from the fact that the model provide a set of simple analytic solution in spite of realistic description of material flow between process and storage. The resulting simple analytic solution can greatly enhance the proper and quick investment decision for the preliminary plant design confronting diverse economic situation.

• 산업경영시스템학회지
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• 제14권24호
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• pp.149-154
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• 1991

The one of the important problems in the design of queueing systems is the decision of the order of service stations. The object of this problem is the decision of the order that minimizes the expected sojourn time per customer in the given arrival process and service time distributions. In this paper, the tandem queueing system in series is studied with the emphasis on the optimal order of the tandem queueing system which has three stations with single servers. In one system, customers arrive at the first station with Poisson process. This system is composed of service stations with a constant, a general distribution and a Exponential distribution is studied. To select the optimal order after the orders of each pair of two stations is decided, it is compared the two orders of system. With this results, total expected delay of the systems which has three stations is compared. The result is the best that service station with constant time is on the first place, then the service station with general distribution and the service station with Exponential distribution is followed. And the other system is consist of service stations with a constant and two probabilistic distributions. In this case, two probabilistic distributions has a non-overlapping feature. It is the optimal order that the service station with constant time is on the first place then the service station with longer service time and the service station with shorter service time is followed.

• 산업경영시스템학회지
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• 제47권2호
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• pp.168-175
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• 2024

Due to the complexity of urban area, the city vehicle routing problem has been a difficult problem. The problem has involved factors such as parking availability, road conditions, and traffic congestion, all of which increase transportation costs and delivery times. To resolve this problem, one effective solution can be the use of parcel lockers located near customer sites, where products are stored for customers to pick up. When a vehicle delivers products to a designated parcel locker, customers in the vicinity must pick up their products from that locker. Recently, identifying optimal locations for these parcel lockers has become an important research issue. This paper addresses the parcel locker location problem within the context of urban traffic congestion. By considering dynamic environmental factors, we propose a Markov decision process model to tackle the city vehicle routing problem. To ensure more real situations, we have used optimal paths for distances between two nodes. Numerical results demonstrate the viability of our model and solution strategy.

• 대한가정학회지
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• 제44권5호
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• pp.21-33
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• 2006

The purpose of this study were 1) to analyze customer relationship management(CRM) based on the online customer experiences by product types (i.e., men's, women's, casual, sports wear), 2) to analyze CRM based on the off-line customer experiences by product type, and 3) to examine customer purchase behavior of fashion products and internet usage behavior by product types. Survey and 1:1 interview were conducted from January 13th to May 16th, 2005. Six consumers from each brand (i.e., 3 loyal customers and 3 general customers) in a total of 24 customers were selected from each product type. For the data analysis, content analysis and descriptive statistics (i.e. frequency) were used. Among the key study findings first, as a result of the on-line CRM experience, the customers of men's wear preferred receiving customized information through e-mail or SMS service. The customers of sports wear preferred receiving a different level of information and participating in customized product service. Second, as a result of the off-line CRM experience, the customers of men's wear need to be encouraged to join a membership at a sales encounter and the customers of women's wear preferred receiving quick information of new products and participating in a design development planning of the merchandising process. Third, the purchasing behavior of the customers of women's wear are influenced mostly by the salesperson and the store atmosphere when they purchase clothes and the customers of men's wear are price-sensitive. The results of this study can be used when fashion brands perform strategic planning and decision making on CRM.

• 한국산학기술학회논문지
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• 제16권3호
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• pp.1832-1843
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• 2015

최근 금융환경의 변화로 증권회사간의 경쟁이 더욱 거세짐에 따라, 경영성과 증진을 위한 다양한 전략이 요구되고 있다. 이에 본 연구는 증권회사의 서비스 품질을 기업속성, 직원속성, 금융상품속성으로 구분하고 이에 따른 신뢰도 및 고객만족도가 지속적 사용의도에 미치는 영향을 규명하였다. 연구대상은 각 증권회사의 실제 이용고객이며, 전체 표본 400부 중에서 378부를 최종 유효 표본으로 선정하였다. 분석은 SPSS 20.0을 활용하였고, 그 결과 첫째, 기업속성의 윤리성, 혁신성, 규모, 직원속성의 친절성, 전문성, 윤리성, 상품속성의 수익성과 다양성이 지속적 사용의도에 정적인 영향을 미치는 것으로 나타났다. 둘째, 신뢰도와 고객 만족도의 지속적 사용의도에 대한 조절효과가 확인되었다. 본 연구결과는 증권회사 고객의 선택행동을 이해하고 경영환경에서의 다양한 전략을 도출하는데 유용한 기초자료로 근거한다는 점에서 산업적 학문적 의의를 둘 수 있을 것이다.

• 한국정보시스템학회지:정보시스템연구
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• 제12권2호
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• pp.57-72
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• 2003

The purpose of this paper is to propose the modeling of multiagent based SCM and implement the prototype in the Internet environment. SCM process follows the supply chain operations reference (SCOR) model which has been suggested by Supply Chain Counsil. SCOR model has been positioned to become the industry standard for describing and improving operational process in SCM. Five basic processes, plan, source, matte, deliver and return are defined in the SCOR model, through which a company establishes its supply chain competitive objectives. A supply chain is a world wide network of suppliers, factories, warehouses, distribution centers and retailers through which raw materials are acquired, transformed or manufactured and delivered to customers by autonomous or semiautonomous process. With the pressure from the higher standard of customer compliance, a frequent model change, product complexity and globalization, the combination of supply chain process with an advanced infrastructure in terms of multiagent systems have been highly required. Since SCM is fundamentally concerned with coherence among multiple decision makers, a multiagent framework based on explicit communication between constituent agents such as suppliers, manufacturers, and distributors is a natural choice. Multiagent framework is defined to perform different activities within a supply chain. Dynamic and changing functions of supply chain can be dealt with multi-agent by cooperating with other agents. In the areas of inventory management, remote diagnostics, communications with field workers, order fulfillment including tracking and monitoring, stock visibility, real-time shop floor data collection, asset tracking and warehousing, customer-centric supply chain can be applied and implemented utilizing multiagent. In this paper, for the order processing event between the buyer and seller relationship, multiagent were defined corresponding to the SCOR process. A prototype system was developed and implemented on the actual TCP/IP environment for the purchase order processing event. The implementation result assures that multiagent based SCM enhances the speed, visibility, proactiveness and responsiveness of activities in the supply chain.

• Corrosion Science and Technology
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• 제23권2호
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• pp.131-138
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• 2024

This paper introduces Primetals Technologies' Through-Process Optimization (TPO) Services and Through-Process Quality Control (TPQC) System, which integrate domain knowledge, software, and automation expertise to assist steel producers in achieving operational excellence. TPQC collects high-resolution process and product data from the entire production route, providing visualizations and facilitating quality assurance. It also enables the application of artificial intelligence techniques to optimize processes, accelerate steel grade development, and enhance product quality. The main objective of TPO is to grow and digitize operational know-how, increase profitability, and better meet customer needs. The paper describes the contribution of these systems to achieving operational excellence, with a focus on quality assurance. Transparent and traceable production data is used for manual and automatic quality evaluation, resulting in product quality status and guiding the product disposition process. Deviation management is supported by rule-based and AI-based assistants, along with monitoring, alarming, and reporting functions ensuring early recognition of deviations. Embedded root cause proposals and their corrective and compensatory actions facilitate decision support to maintain product quality. Quality indicators and predictive quality models further enhance the efficiency of the quality assurance process. Utilizing the quality assurance software package, TPQC acts as a "one-truth" platform for product quality key players.

• 대한안전경영과학회지
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• 제14권4호
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• pp.153-168
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• 2012

It has been recognized as an important issue to design optimally a firm's logistics network for minimizing logistics cost and maximizing customer service. It is, however, not easy to get an optimal solution by analyzing trade-off of cost factors, dynamic and interdependent characteristics in the logistics network decision making. Although there has been some developments in a system which helps decision making for logistics analysis, it is true that there is no system for enterprise-wise's on-site support and methodical logistics decision. Specially, E-biz process along with information technology has been made dramatic advance in a various industries, there has been much need for practical education closely resembles on-site work. The software developed by this study materializes efficient algorithm suggested by recent studies in key topics of logistics such as location and allocation problem, traveling salesman problem, and vehicle routing problem and transportation and distribution problem. It also supports executing a variety of experimental design and analysis in a way of the most user friendly based on Java. In the near future, we expect that it can be extended to integrated supply chain solution by adding decision making in production in addition to a decision in logistics.