• Proceedings of the Korea Society of Costume Conference
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• 2003.10a
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• pp.74-74
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• 2003

The study was done to provide domestic fashion multi-shops with basic information about the marketing strategies through an investigation the marketing strategies for domestic multi-shop dealt with imported product only.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.2
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• pp.281-286
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• 2013

As the product lifecycle is getting shorter and various models should be released to respond to the needs of customers and markets, automation-based flexible production line has been recognized as the core competitiveness. According to these trends, system vendors supply cell-level systems such as FMC(Flexible Manufacturing Cell) that is integration of core functions of FMS(Flexible Manufacturing System) and RMC(Reconfigurable Manufacturing Cell) that can easily extend components of FMC. In the cell-based environment, flexible management for shop floor composed of existing job shop, FMCs and RMCs from various system vendors has emerged as an important issue. However, there could be some problems on integrated operation between heterogeneous cells to use vendor-specific cell controllers and on seamless information flow with high level systems such as ERP(Enterprise Resource Planning). In this context, this paper proposes process management systems supporting integrated shop operation of heterogeneous multi-cell based flexible manufacturing environment: First of all, (1) Integrated Shop Operation System to apply the process management system is introduced, and (2) Multi-Layer BOP(Bill-Of-Process) model, a backbone of the process management system, is derived with its data structure. Finally, application of the proposed model is illustrated through system implementation results.

• Journal of Distribution Science
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• v.19 no.7
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• pp.75-85
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• 2021

Purpose: This study is focused on analyzing the key reasons why One-brand Shop has been shrinking and Multi-brand shop is rising from the perspective of the trend changes of customer behavior and distribution channel in the Korean cosmetic market. The purpose of this study is to examine the factors influencing the attractiveness of cosmetics distribution channels from a store perspective and a consumer perspective. Research methodology: This study conducted a survey to define the factors that influence the attractiveness of cosmetics distribution channels. A total of 300 samples were investigated. Results: The store factors that influence the attractiveness of the cosmetics distribution channel were product quality, shopping convenience, and store accessibility in the group of single-brand store preferences, and product diversity and store experience in the group of multi-brand store preferences. Conclusions: Core competing factors of One-brand shop include product value, shopping convenience and accessibility. In contrast, Multi-Brand shops offer core competing factors of diversified product portfolio and shop function experience. A new trend has been found that the customer segments of the price-oriented group and the pleasure-oriented group have become the mainstream segments in the Korean cosmetic market. In conclusion, Multi-brand Shops are suggesting better overall customer experiences in terms of distribution channel attractiveness and customer values.

• Journal of Cadastre & Land InformatiX
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• v.45 no.2
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• pp.217-235
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• 2015

The study has analyzed the determinants of retail rents for the franchised coffee shop with the Multi-Regression analysis in Seoul. Central place, agglomeration, and demand-externality theories provide the basis for empirical models. The data used in this study consisted of 2,000 retail units in Seoul. As the results, the results show that coffee shop of retail sales per $3.3m^2$ and characteristic of retail trade-areas, and characteristic of coffee shop affects on the coffee shop's rents per $3.3m^2$. Coffee Shop's sales are the major determinant of coffee shop's rents. Also, coffee shop's goodwill per $3.3m^2$ and rental bond per $3.3m^2$ are positively correlated with a coffee shop's rents. Additionally, number of wholesale company and manufacturers in the retail trade-areas influences coffee shop's rent per $3.3m^2$. In summary, the study shows that coffee shop's brand identity, location and retail mix in the retail trade areas affects a coffee shop's rent per $3.3m^2$.

• Proceedings of the Korea Society for Simulation Conference
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• 1996.05a
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• pp.15-15
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• 1996

A shop floor control system (SFCS) is the central part of a CIM system used to control the activities of several pieces of manufacturing equipment (e.g., NC machines, robots, conveyors, AGVs, AS/RS). The SFCS receives orders and related process plans, and then performs selecting a specific process routing, allocating resources, scheduling the workpieces, downloading the processing instructions (e.g., RS-274 instructions for NC machines, VAL II programs for robot), monitoring the progress of activities, detecting and recovering from errors, and preparing reports on the status of the manufacturing system. Simulation has been utilized in discovering control policies used for resolving shop floor be control problems such as resource contentions, part dispatching, deadlock. The simulation model must be designed to respond to real-time data coming from a shop floor. However, to rapidly build a realtime simulation model of SFCS cannot be easily accomplished. This talk is to address an automatic program generator of discrete event simulation model for shop floor control from process plans and resource models. The program generator is capable of constructing complete discrete simulation models for multi-product and multi-stage flexible manufacturing systems.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.1071-1076
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• 2003

Evolutionary algorithm is recognized as a promising approach to solving multi-objective combinatorial optimization problems. When no preference information of decision makers is given, multi-objective optimization problems have been commonly used to search for diverse and good Pareto optimal solution. In this paper we propose a new multi-objective evolutionary algorithm based on competitive coevolutionary algorithm, and demonstrate the applicability of the algorithm. The proposed algorithm is designed to promote both population diversity and rapidity of convergence. To achieve this, the strategies of fitness evaluation and the operation of the Pareto set are developed. The algorithm is applied to job shop scheduling problems (JSPs). The JSPs have two objectives: minimizing makespan and minimizing earliness or tardiness. The proposed algorithm is compared with existing evolutionary algorithms in terms of solution quality and diversity. The experimental results reveal the effectiveness of our approach.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.3
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• pp.17-23
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• 2008

In this research article, scheduling a casting sequence in a job-shop type foundry involving a variety of casts made of an identical alloy but with different shapes and II weights, has been investigated. The objective is to produce the assigned mixed orders satisfying due dates and obtaining the highest ingot efficiency simultaneously. Implementing simple integer programming instead of complicated genetic algorithms accompanying rigorous calculations proves that it can provide a feasible solution with a high accuracy for a complex, multi-variable and multi-constraint optimization problem. Enhancing the ingot efficiency under the constraint of discrete ingot sizes is accomplished by using a simple and intelligible algorithm in a standard integer programming. Employing this simple methodology, a job-shop type foundry is able to maximize the furnace utilization and minimize ingot waste.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.429-434
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• 2002

For companies assembling end products from sub assemblies or components, MRP (Material Requirement Planning) logic is frequently used to synchronize and pace the production activities for the required parts. However, in MRP, the planning of operational-level activities is left to short term scheduling. So, we need a good scheduling algorithm to generate feasible schedules taking into account shop floor characteristics and multi-level job structures used in MRP. In this paper, we present a GA (Genetic Algorithm) solution for this complex scheduling problem based on a new gene to reflect the machine assignment, operation sequences and the levels of the operations relative to final operation. The relative operation level is the control parameter that paces the completion timing of the components belonging to the same branch in the multi-level job hierarchy. In order to revise the fixed relative level which solutions are confined to, we apply large step transition in the first step and GA in the second step. We compare the genetic algorithm and 2-phase optimization with several dispatching rules in terms of tardiness for about forty modified standard job-shop problem instances.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.41
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• pp.231-242
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• 1997

This paper describe an approximation method for solving the minimum makespan problem of job shop scheduling with fuzzy processing time. We consider the multi-part production scheduling problem in a job shop scheduling. The job shop scheduling problem is a complex system and a NP-hard problem. The problem is more complex if the processing time is imprecision. The Fuzzy set theory can be useful in modeling and solving scheduling problems with uncertain processing times. Lee-Li fuzzy number comparison method will be used to compare processing times that evaluated under fuzziness. This study propose heuristic algorithm solving the job shop scheduling problem under fuzzy environment. In This study the proposed algorithm is designed to treat opinions of experts, also can be used to solve a job shop environment under the existence of alternate operations. On the basis of the proposed method, an example is presented.

• Journal of the Korean Society of Costume
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• v.63 no.7
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• pp.17-30
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• 2013

An understanding of store patronage behavior is a critical issue for retail managers, especially when it comes to a new kind of retail store, as it enables them to identify and target potential customers. Reflecting this managerial need, this study is focused on the fashion multi-brand shop, specifically investigating its store attributes, customers' shopping orientation, and store patronage. Accepting the shifting marketing paradigm from 4P's marketing mix to 7P's marketing mix, the 7P's marketing mix is employed in this study to measure the store attributes, including people(sales oriented and customer oriented), price, place, promotion, physical environment, process, and product. The store attributes significantly influencing patronization are found as customer oriented sales people, product, physical environment, and process. The shopping orientations of the customers, 222 female adults aged from 20s to 40s are found as ostentatious, pleasant, fashion pursuant, rational, and addictive. The consumers who are ostentatious, pleasant, and fashion pursuant are highly likely to be patronize to the fashion multi-brand shops.