본 연구는 화장품 무인매장의 서비스품질이 고객만족과 행동의도에 미치는 영향과 신뢰성의 조 절효과를 검증하고자 하고자 화장품 무인매장 방문 경험이 있는 소비자를 대상으로 온라인 설문조사를 실 시하였다. 총 208부의 설문을 SPSS 27.0으로 분석한 결과, 서비스품질 요인 모두가 고객만족과 행동의도에 유의한 영향을 미쳤으며, 고객만족 또한 행동의도에 유의한 영향을 주는 것으로 나타났다. 또한 신뢰성은 고객만족과 행동의도에 직접적인 영향을 미치고, 서비스품질과 고객만족 및 행동의도 간의 관계에서 조절 효과를 보였다. 이러한 결과는 무인매장 운영 시 기능적·경험적 서비스품질과 신뢰성 제고가 고객만족과 행동의도 강화를 위한 핵심 요인임을 시사한다.

It is considered that a skincare shop is one of important places for skincare and beauty care. Due to increasing daily stress and environmental pollution recently, healthy skin is getting important and more people are visiting skincare shops. This study investigated the effects of laporte of skincare shop workers on customer reliability and satisfaction with a focus on women in twenties and thirties, and those of reliability on customer satisfaction, aiming at providing basic information for active management of skincare shops. For the purposes, this study used a questionnaire to collect the data and using SPSS 25.0. conducted a frequency test, an exploratory factor analysis, a descriptive statistical analysis, a correlation analysis and a reliability test to analyze the data collected. As a result of the study, it was discovered that laporte of skincare shop workers had a significant effect on customer reliability and satisfaction and reliability had a significant effect on customer satisfaction. It suggested that relationship between skincare shop workers and customers is very important for skincare shop management.

The company was focusing on production which was partial mission rather than acquiring the information of customer in intensive process industry. The company accepted loss which is from over-production, losing of opportunity. After changing to web environment, supply chain is more complicated and need of customer is more various. As a result the company hard works on controlling production rates, production quantities in production area and gathering exact information which is about available resource and available quantities. Cooperated demand planning have to get decreasing of inventory, improving of customer service in supply chain management. Specially demand planning that considers allocation of capacity is executed in Iron-Industry. Demand planning must be classified by customer, region and supply position level.

This Study will introduce the concept of CTP(Capable-to-Promise) Algorithm, CTP process, and the modeling of algorithm. This research is based on the environment of using Job-Shop method. CTP algorithm model use LPST(Latest Possible Start Time) and EPST(Earliest Possible Start Time) method especially. It is important part of executing CTP system. The CTP modeling and implementing develops to system which is able to implement in the various business environment through additional and continuous research.