• Title/Summary/Keyword: multi-shop

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Selection of scheduling heuristics using neural network and MCDM (신경망과 다속성 의사결정 기법을 이용한 일정관리 휴리스틱의 선택)

  • 황인수;한재민
    • Korean Management Science Review
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    • v.13 no.3
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    • pp.173-186
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    • 1996
  • This paper presents an approach for classifying scheduling problems and selecting a heuristic rule to yield best solution in terms of certain performance measure(s). Classification parameters are employed from previous studies on job shop scheduling and project scheduling. Neural network is used for learning and estimating the performance of heuristic rules. In addition, multi-criteria decision making techniques are employed to combine the preferences for each performance measure and heuristic rule for the problems with multi-objectives.

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Development of an Expert System for Multi-component Injection Molding (다재 사출성형 전문가 시스템 개발)

  • 강신일
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1999.03b
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    • pp.213-217
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    • 1999
  • An expert system is developed for rational and efficient design of multi-component injection molding which is a fairly new manufacturing technique to produce plastic parts by injecting two or more materials sequentially using multiple injection units in a single machine into a single rotary mold. The knowledge base used in the present design system is primarily composed of two parts ; knowledge from domain expert and knowledge from CAE analysis. The present expert system has hour main modules ; general design guidelines for injection molding specific guidelines for multi-component injection molding redesign guidelines from the result of the CAE analysis and finally troubleshooting for multi-component injection molding. To show the validity of the present design methodology two shop floor design problems were tested ; design and fabrication of timing belt cover and power window's assist knob by using multi-component injection molding.

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Study on the Effects of Shop Choice Properties on Brand Attitudes: Focus on Six Major Coffee Shop Brands (점포선택속성이 브랜드 태도에 미치는 영향에 관한 연구: 6개 메이저 브랜드 커피전문점을 중심으로)

  • Yi, Weon-Ho;Kim, Su-Ok;Lee, Sang-Youn;Youn, Myoung-Kil
    • Journal of Distribution Science
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    • v.10 no.3
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    • pp.51-61
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    • 2012
  • This study seeks to understand how the choice of a coffee shop is related to a customer's loyalty and which characteristics of a shop influence this choice. It considers large-sized coffee shops brands whose market scale has gradually grown. The users' choice of shop is determined by price, employee service, shop location, and shop atmosphere. The study investigated the effects of these four properties on the brand attitudes of coffee shops. The effects were found to vary depending on users' characteristics. The properties with the largest influence were shop atmosphere and shop location Therefore, the purpose of the study was to examine the properties that could help coffee shops get loyal customers, and the choice properties that could satisfy consumers' desires The study examined consumers' perceptions of shop properties at selection of coffee shop and the difference between perceptual difference and coffee brand in order to investigate customers' desires and needs and to suggest ways that could supply products and service. The research methodology consisted of two parts: normative and empirical research, which includes empirical analysis and statistical analysis. In this study, a statistical analysis of the empirical research was carried out. The study theoretically confirmed the shop choice properties by reviewing previous studies and performed an empirical analysis including cross tabulation based on secondary material. The findings were as follows: First, coffee shop choice properties varied by gender. Price advantage influenced the choice of both men and women; men preferred nearer coffee shops where they could buy coffee easily and more conveniently than women did. The atmosphere of the coffee shop had the greatest influence on both men and women, and shop atmosphere was thought to be the most important for age analysis. In the past, customers selected coffee shops solely to drink coffee. Now, they select the coffee shop according to its interior, menu variety, and atmosphere owing to improved quality and service of coffee shop brands. Second, the prices of the brands did not vary much because the coffee shops were similarly priced. The service was thought to be more important and to elevate service quality so that price and employee service and other properties did not have a great influence on shop choice. However, those working in the farming, forestry, fishery, and livestock industries were more concerned with the price than the shop atmosphere. College and graduate school students were also affected by inexpensive price. Third, shop choice properties varied depending on income. The shop location and shop atmosphere had a greater influence on shop choice. The customers in an income bracket of less than 2 million won selected low-price coffee shops more than those earning 6 million won or more. Therefore, price advantage had no relation with difference in income. The higher income group was not affected by employee service. Fourth, shop choice properties varied depending on place. For instance, customers at Ulsan were the most affected by the price, and the ones at Busan were the least affected. The shop location had the greatest influence among all of the properties. Among the places surveyed, Gwangju had the least influence. The alternate use of space in a coffee shop was thought to be important in all the cities under consideration. The customers at Ulsan were not affected by employee service, and they selected coffee shops according to quality and preference of shop atmosphere. Lastly, the price factor was found to be a little higher than other factors when customers frequently selected brands according to shop properties. Customers at Gwangju reacted to discounts more than those in other cities did, and the former gave less priority to the quality and taste of coffee. Brand preference varied depending on coffee shop location. Customers at Busan selected brands according to the coffee shop location, and those at Ulsan were not influenced by employee kindness and specialty. The implications of this study are that franchise coffee shop businesses should focus on customers rather than aggressive marketing strategies that increase the number of coffee shops. Thus, they should create an environment with a good atmosphere and set up coffee shops in places that customers have good access to. This study has some limitations. First, the respondents were concentrated in metropolitan areas. Secondary data showed that the number of respondents at Seoul was much more than that at Gyeonggi-do. Furthermore, the number of respondents at Gyeonggi-do was much more than those at the six major cities in the nation. Thus, the regional sample was not representative enough of the population. Second, respondents' ratio was used as a measurement scale to test the perception of shop choice properties and brand preference. The difficulties arose when examining the relation between these properties and brand preference, as well as when understanding the difference between groups. Therefore, future research should seek to address some of the shortcomings of this study: If the coffee shops are being expanded to local areas, then a questionnaire survey of consumers at small cities in local areas shall be conducted to collect primary material. In particular, variables of the questionnaire survey shall be measured using Likert scales in order to include perception on shop choice properties, brand preference, and repurchase. Therefore, correlation analysis, multi-regression, and ANOVA shall be used for empirical analysis and to investigate consumers' attitudes and behavior in detail.

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Automatic Collection of Production Performance Data Based on Multi-Object Tracking Algorithms (다중 객체 추적 알고리즘을 이용한 가공품 흐름 정보 기반 생산 실적 데이터 자동 수집)

  • Lim, Hyuna;Oh, Seojeong;Son, Hyeongjun;Oh, Yosep
    • The Journal of Society for e-Business Studies
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    • v.27 no.2
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    • pp.205-218
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    • 2022
  • Recently, digital transformation in manufacturing has been accelerating. It results in that the data collection technologies from the shop-floor is becoming important. These approaches focus primarily on obtaining specific manufacturing data using various sensors and communication technologies. In order to expand the channel of field data collection, this study proposes a method to automatically collect manufacturing data based on vision-based artificial intelligence. This is to analyze real-time image information with the object detection and tracking technologies and to obtain manufacturing data. The research team collects object motion information for each frame by applying YOLO (You Only Look Once) and DeepSORT as object detection and tracking algorithms. Thereafter, the motion information is converted into two pieces of manufacturing data (production performance and time) through post-processing. A dynamically moving factory model is created to obtain training data for deep learning. In addition, operating scenarios are proposed to reproduce the shop-floor situation in the real world. The operating scenario assumes a flow-shop consisting of six facilities. As a result of collecting manufacturing data according to the operating scenarios, the accuracy was 96.3%.

The Effect of Benefits and Online Shopping Risks on Channel Selection for Luxury Fashion Items (패션 명품의 추구혜택과 온라인 구매위험지각에 따른 쇼핑채널 선택)

  • Park, Hye-Sun;Kim, Hyun-Sook
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.1
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    • pp.13-25
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    • 2011
  • This study investigates the factors influencing consumer's channel selection for luxury fashion items, specifically the effect of (i) perceived luxury benefits, (ii) perceived online shopping risks, (iii) demographics, and (iv) purchasing behavior. A survey questionnaire was developed and implemented to measure the perceived luxury benefits, perceived online shopping risks, purchasing behaviors, and consumer demographics. A total of 396 responses were analyzed by one-way ANOVA, cross-tab, and multinomial logit analysis with SPSS18.0. The results are as follows. First, those who shop in offline shopping channels tend to be heavy buyers that look for product quality and conspicuousness. They perceive low risks from online shopping and purchase few bag items offline. Second, those who shop online tend to be men and perceive the high benefits of economic value. Third, those who shop in multi channels tend to be men, search for information via the Internet, and purchase few accessory items. Implications for multichannel strategies are suggested.

A Fuzzy Dispatching Algorithm with Adaptive Control Rule for Automated Guided Vehicle System in Job Shop Environment (AGV시스템에서 적응 규칙을 갖는 퍼지 급송알고리듬에 관한 연구)

  • 김대범
    • Journal of the Korea Society for Simulation
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    • v.9 no.1
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    • pp.21-38
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    • 2000
  • A fuzzy dispatching algorithm with adaptable control scheme is proposed for more flexible and adaptable operation of AGV system. The basic idea of the algorithm is prioritization of all move requests based on the fuzzy urgency. The fuzzy urgency is measured by the fuzzy multi-criteria decision-making method, utilizing the relevant information such as incoming and outgoing buffer status, elapsed time of move request, and AGV traveling distance. At every dispatching decision point, the algorithm prioritizes all move requests based on the fuzzy urgency. The performance of the proposed algorithm is compared with several dispatching algorithms in terms of system throughput in a hypothetical job shop environment. Simulation experiments are carried out varying the level of criticality ratio of AGVs , the numbers of AGVs, and the buffer capacities. The rule presented in this study appears to be more effective for dispatching AGVs than the other rules.

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Open Manufacturing System Using MMs Service and Object Oriented Manufacturing Devices(1st Report) (생산장비 객체화와 개방형 가공 셀 구축 연구(I) -생산장비 객체화-)

  • Kim, Sun-Ho;Kim, Dong-Hoon;Park, Kyoung-Taik
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.5 s.98
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    • pp.91-97
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    • 1999
  • The background of appearing MMS is to cope with the difficulty that occurred in constructing CIM with multi-vendor production devices such as CNC, PLC and robot. But so far the popularized use of MMS service in machine shop is not generalized because of economical and environmental reason. In this paper to solve this problem the CNC_VMD gateway for 3 types of heterogeneous machine tools in which MMS support is not available is developed and its performance is evaluated in shop floor having CIM environment. The developed VMD has the functions such as MMS service, driver for CNC interface and supporting for network. Non-MMS compatible machine tool can be MMS-compatible by using the developed gateway with CNC_VMD.

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-A Study on the DNC System with the Function of Process Monitoring and Control- (공정관리 기능을 강화한 DNC 시스템 구현에 관한 연구)

  • 김채수;심문보
    • Journal of the Korea Safety Management & Science
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    • v.5 no.2
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    • pp.87-98
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    • 2003
  • With the development of CNC(Computer Numerical Control) and communication technology, the connotation and functions of Distributed Numerical Control have been greatly enlarged. In this study, we develop and implement a Distributed Numerical Control system that has real time and multi-tasking operation capability for the machining cell with various NC(Numerical Control) and CNC machines. With the consideration of economy, generalization and extension, this system is interfaced with Shop Floor Control System, Machine Control System and Tool Preparation System using advanced networking method. In the implementation phase, we use the ORACLE DBMS (Database Management System) as the DBMS and Microsoft Visual C++ as the programming tools.

-Machining Route Selection with the Shop Flow Information Using Genetic Algorithm- (작업장 특성을 고려한 가공경로선정 문제의 유전알고리즘 접근)

  • 이규용;문치웅;김재균
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.54
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    • pp.13-26
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    • 2000
  • Machining route selection to produce parts should be based on shop flow information because of input data at scheduling tasks and is one of the main problem in process planning. This paper addresses the problem of machining route selection in multi-stage process with machine group included a similar function. The model proposed is formulated as 0-1 integer programing considering the relation of parts and machine table size, avaliable time of each machine for planning period, and delivery date. The objective of the model is to minimize the sum of processing, transportation, and setup time for all parts. Genetic algorithm approach is developed to solve this model. The efficiency of the approach is examined in comparison with the method of branch and bound technique for the same problem. Also, this paper is to solve large problem scale and provide it if the multiple machining routes are existed an optimal solution.

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퍼지 신경회로망을 이용한 선박의 제어 ( On the Control of Ship's Steering System by Introducing the Fuzzy Neutral Network )

  • Choi, H.K.;Lee, C.Y.
    • Journal of Korean Port Research
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    • v.6 no.2
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    • pp.3-24
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    • 1992
  • In the fuzzy control of shop the qualitative knowledge and information that the ship's operators have acquired through their experience can be logically described by the Linguistic control Rule (LCR). The algorithm of the control is made of the LCR and the control of the shop is performed by processing this algorithm implementing a computer. The problem in the fuzzy control is that it is very difficult to describe qualitative human knowledge in the LCR correctly. To tackle this difficulty a Fuzzy Neural Network (FNN) was introduced in this paper. The characteristics of the multi-layer FNN control system applied to the ship's steering system is investigated through the computer simulation, and the results were compared with those of the ordinary fuzzy control system of a ship. The results showed that the FNN method is a very effective to translate human knowledge into the LCR.

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