• 복식문화연구
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• 제29권6호
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• pp.865-880
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• 2021

The purpose of this study was to examine job competencies for sales training program development to maximize profits in fashion retailing. An empirical online survey was conducted from September to December 2019, and data was collected from 200 salespeople and store managers working in fashion stores. Results were analyzed using frequency analysis, factor analysis, variance analysis, and regression analysis with SPSS 25.0. The major findings of this study were as follows. First, the most important job competencies identified by fashion store managers were: sales sense know-how, customer service skills, and sales person's fashion style sense, product knowledge, fashion marketing and customer management. The job competency factors for sales training programs included empathy with the customer, product knowledge, communications and networking, basic job requirement, and sales skills. These five factors positively influenced the employment intentions and expectations of work performance of graduates. These factors also had a positive influence on the need of sales training program and intention to participate in retraining. Store managers in fashion retail thought the most appropriate period for on-the-job training was either 2-4 days or more than 1 week. The results of this study can be used as a base to develop training programs for job efficiency for salespeople in fashion retailing.

• Management Science and Financial Engineering
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• 제9권2호
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• pp.47-68
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• 2003

We consider the customer order scheduling problem with job capacity restriction where the number of jobs in the shop at the same time is fixed. In the customer order scheduling problem, each job is part of some batch (customer order) and the composition of the jobs (product) in the batch is pre-specified. The objective function is associated with the completion time of the batches instead of the completion time of the jobs. We first summarize the known results for the general customer order scheduling problems. Then, we establish some new properties for the problems with job capacity restriction. For the case of unit processing time with the objective of minimizing makespan, we develop a polynomial-time optimal procedure for the two machine case. For the same problem with a variation of no batch alternation, we also develop a polynomial-time optimal procedure. Then, we show that the problems with the objectives of minimizing makespan and minimizing average batch completion time become NP-hard when there exist arbitrary number of machines. Finally, We propose optimal solution procedures for some special cases.

• 산업경영시스템학회지
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• 제25권5호
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• pp.1-8
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• 2002

The sales activity of most of small manufacturing companies is based on orders of buyers. The process of promotion, receipt and selection of orders of the manufacturers is closely coupled with the load status of the production lines. The decision on whether to accept an order or not, or the selection of optimal order set among excessive orders is entirely dependent on the schedule of production lines. However, in the real world, since the production scheduling activity is mainly performed by human experts, most of small manufacturers are suffer from being unable to meet due dates, lack of rapid decision on the acceptance of new order. To cope with this problem, this paper deals with the development of an agent for selecting an optimal order set automatically. The main engine of selection agent is based on the typical job-shop scheduling model since our target domain is the injection molding company. To solve the problem, we have formulated it as IP (Integer Program) model, and it has been successfully implemented by ILOG and selection agent. And we have suggested an architecture of an agent for tackling web based order selection problems.

• 한국경영과학회지
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• 제22권2호
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• pp.79-97
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• 1997

Many dispatching rules have been developed for the on-line control of product flow in a job shop. The introduction of a flexible manufacturing system (FMS) has added a new requirement to classical job shop control problem : the selection of machines by parts of different types. An FMS can keep a great deal of information on the status of the system, such as information on what is scheduled in the near future, with great accuracy. For example, the knowledge of the time when the next part will arrive at each machine can be neneficial for the routing. This paper tests the effects of the use of this knowledge for part routing on the parts flow time (sum of the time for waiting and service) under a simple routing procedure- a look-ahead routing procedure. A test under many operating conditions shows that the reduction of part flow time from the cases without using this information is between 1% and 11%, which justifies more study on this routing procedure at real production sites when machine capacity is a critical issue. The test results of this paper are also valid for other highly automated systems such as the semi-conductor fabrication plants for routing when the arrivals of parts in the near future are known.

• 대한기계학회논문집A
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• 제20권1호
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• pp.14-23
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• 1996

Scheduling jobs effectively under consideration of actual loads on machines is one of the most complicated tasks in production control. The complexity of the finite capacity scheduling often makes the conventional methods of industrial engineering fail. As an alternative, Knowledge-based approaches to job-shop scheduling have been evolved recently. This paper presents a blackboard- based scheduling expert system which combines knowledge-based scheduling with interactive scheduling. It is shown to be possible to generate the feasible schedule within a reasonable time. Flexible reaction management is also possible while keeping the changes in the generated schedule to the minimal and adjusting the schedule to tardy operations or working environmental changes. The system is equipped with a rule base with heuristics for handling conflicted event. A case study applying the implemented system is described.

• 한국의류학회지
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• 제35권5호
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• pp.537-546
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• 2011

This study shows the necessity of internal marketing activities and the need for effective internal marketing programs for fashion shop. This research tests the hypothesized relationships between internal marketing and its determinants such as job satisfaction, organizational commitment, and customer orientation. To measure these hypotheses, a total 200 questionnaires were distributed and 185 were collected. Finally, 163 questionnaires were used for the analysis, while 22 were found invalid. The frequency analysis, factor analysis, reliability analysis, and multiple regression were conducted after coding and cleaning by SPSS 18.0. The internal marketing activities were classified into five factors (internal communication, welfare system, empowerment, educational training program, and incentive system). The results of this study are as follow. First, internal marketing activities have a positive influence on job satisfaction and organizational commitment. Second, job satisfaction has an effect on organizational commitment. Third, internal marketing activities, job satisfaction, and organizational commitment have a positive influence on customer orientation. Accordingly, it should raise the standard of customer orientation, if it is promote the job satisfaction and organizational commitment of employee through internal marketing activities such as internal communication and empowerment.

• 한국의류산업학회지
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• 제15권1호
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• pp.22-34
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• 2013

This study investigates the perception of conflict and satisfaction factors by salesperson of department store middle management system. This study was performed through a qualitative research method. An in-depth interview was given to 14 fashion shop managers and salespeople who have three or more years of department store work experience. The results show two categories of factors(factors according to power sources and factors according to job environment) that influence the perception of department store middle management system by fashion product salesperson. The factors(according to power sources) were classified into coercive power, reward power, expert/informational power, and referent power. The factors(according to job environment) were classified into physical environment, work conditions, and regulations.

• 한국정밀공학회지
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• 제19권9호
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• pp.111-117
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• 2002

In most machining companies, operators decide the cutting condition, a pair of spindle speed (5) and table federate (F) by experience and subjective judgment. As cutting conditions are determined by operators' experience and ability, inconsistent cutting conditions are given in same operating conditions. The objective of this study is to develop the cutting condition decision system which utilizes shop data and predicts tool life by neural network and eventually leads to the optimal cutting condition. The production time per piece is considered for an optimization object. We will discuss the process of an optimal cutting condition decision by neural network. By this process, a series of shop data is stored. And neural network is constructed for prediction of tool life and the optimal cutting condition is recommended from a cutting condition decision system using the stored shop data. The results show that the developed system is rational in searching the optimal cutting conditions on job operations.

• 산경연구논집
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• 제15권1호
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• pp.19-29
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• 2024

Purpose: It is necessary to look at the reasons why the Korean government has failed in boosting mom and pops, even though many aid programs for independent retailers have been introduced. Furthermore, this research will provide policy makers and practitioners with new insight to improve the performance of government policies. Research design: the researcher has had an interview with the 26 practitioners to gather the right information. Furthermore, interview results have been categorized into the government-related issues, support programs and shop owner-related issues, from a practitioner's perspectives. Results: The researcher found that the confusion of governmental support organization, the lack of retail marketing experts, frequent job rotation, the lack of cooperation between bureaucrats and associations, concerned about the governmental-related issues, are failure reasons. In terms of support program issues, the research found the following reasons: no blueprint, the lack of retail experts, relevance to budget scale, and the complexity of budget implementation. Associated with shop owner-related issues, the author found that the causes of failure are closely related to aging shopkeepers, the absence of a successor and increasing dependence on a government. Conclusions: The author proposes that a government has to rebuild existing support programs for small shop owners.

• 대한안전경영과학회지
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• 제5권1호
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• pp.83-92
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• 2003

Scheduling plays an important role in shop floor planning. A scheduling shows the planned time when processing of a specific job will start on each machine that the job requires. It also indicates when the job will be completed on every process. Thus, it is a timetable for both jobs and machines. There is only one server available and arriving work require services from this server. Job are processed by the machine one at a time. The most common objective is to sequence jobs on the severs so as to minimize the penalty for being late, commonly called tardiness penalty. Based on other objectives, many criteria may serve as s basis for developing job schedules. The process also comprises all strategic planning, capital investments, management decisions, and tasks necessary to create a new product. manufacturing processes must be created so that the product can be produced in the product facility. Purchasing new equipment and training workers may be required if new technology is to be used. Tools, fixtures, and the sequence of steps in the manufacturing processes must all be developed to allow rapid, high-quality, cost effective production. Also, it may be needed to be rearrange the production facility to adapt to the new manufacturing processes. Therefore, this study tries to proposed that Scheduling by customer needs group for minimizing the problem and reducing inventory, product development time, cycle time, and order lead time.