• Title, Summary, Keyword: industrial by-product

Search Result 2,145, Processing Time 0.056 seconds

A Two-Process Two-Product Inventory Model on a Single Facility with By-Product

  • Moon, Dug-Hee;Hwang, Hark
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.12 no.2
    • /
    • pp.67-76
    • /
    • 1986
  • This study is concerned with a single-facility production system in which two kinds of products, product 1 and 2, are produced by two different processes, process 1 and 2. Product 2 is produced either by process 2 or by process 1 as by-product, while product 1 is obtained only through process 1. The repeating sequences of the two processes and their associated lot sizes are determined which minimize the total inventory related cost. A solution algorithm is developed and is illustrated with numerical examples.

  • PDF

Automation of Assembly System in Make-To-Order (다품종 주문생산 방식의 조립시스템 자동화에 관한 연구)

  • Mok, Hak-Soo;Moon, Kwang-Sup;Shin, Hyun-Chang;Pyo, Seung-Tae
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.27 no.1
    • /
    • pp.103-110
    • /
    • 2001
  • The aim of this paper is the implementation of high assembly productivity through product redesign. The product and process are analyzed by influencing factors for based data of the product redesign. And then, the weak assembly processes are analyzed by weak influencing factors. By this information about product and process, the score of weakness of influencing factors extracts the redesign rules and principles. The sequences of processes are changed according to the product redesign, and they are evaluated using the line efficiency and smoothness index.

  • PDF

Analysis of Failure in Product Design Experiments by using Product Data Analytics (제품자료 분석을 통한 제품설계 실험 실패 요인 분석)

  • Do, Namchul
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.40 no.4
    • /
    • pp.366-374
    • /
    • 2014
  • This study assessed and analysed a result of a product design experiment through Product Data Analytics (PDA), to find reasons for failure of some projects in the experiment. PDA is a computer-based data analysis that uses Product Data Management (PDM) databases as its operational databases. The study examines 20 product design projects in the experiment, which are prepared to follow same product development process by using an identical PDM system. The design result in the PDM database is assessed and analysed by On-Line Analytical Processing (OLAP) and data mining tools in PDA. The assesment and analysis reveals the lateness in creation of 3D CAD models as the main reason of the failure.

Weight of Modularization using the Exchangeability of Product (교체성을 고려한 모듈화 결정요소의 중요도)

  • Mok, Hak-Soo;Jeon, Chang-Su;Han, Chang-Hyo;Song, Min-Jun
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.16 no.4
    • /
    • pp.21-28
    • /
    • 2008
  • The exchangeability of subassembly has a good relationship with the modularization of product. This relationship can be found by the analysis of the characteristics of a product. The weight for decision factors for the modularization can be determined by the exchangeability of a product or subassembly. The functions, structure, materials of subassembly are used as the decision parameters of exchangeability. Using these selected parameters, the modularization of a product, the characteristics of product structure, and the product function are analyzed. And then, the weighting factors could be calculated quantitatively using this relationship and the parameters of the exchangeability. The calculated weight can contribute to help a designer design for recycling (DFR), design for energy (DFE) and Eco-design.

An Information System Architecture for Extracting Key Performance Indicators from PDM Databases (PDM 데이터베이스로부터 핵심성과지표를 추출하기 위한 정보 시스템 아키텍쳐)

  • Do, Namchul
    • Journal of Korean Institute of Industrial Engineers
    • /
    • v.39 no.1
    • /
    • pp.1-9
    • /
    • 2013
  • The current manufacturers have generated tremendous amount of digitized product data to efficiently share and exchange it with other stakeholders or various software systems for product development. The digitized product data is a valuable asset for manufacturers, and has a potential to support high level strategic decision makings needed at many stages in product development. However, the lack of studies on extraction of key performance indicators(KPIs) from product data management(PDM) databases has prohibited manufacturers to use the product data to support the decision makings. Therefore this paper examines a possibility of an architecture that supports KPIs for evaluation of product development performances, by applying multidimensional product data model and on-line analytic processing(OLAP) to operational databases of product data management. To validate the architecture, the paper provides a prototype product data management system and OLAP applications that implement the multidimensional product data model and analytic processing.

A Study on a Product Safety Management Program Based on Risk Management Standards (리스크 관리규격에 기초한 제품안전 경영 프로그램에 대한 연구)

  • Lee, Dhong-Ha;Na, Yoon-Gyun;Kim, Myung-Soo
    • IE interfaces
    • /
    • v.16 no.1
    • /
    • pp.94-102
    • /
    • 2003
  • This study proposed a method to apply risk management standards to a product safety management program and reviewed cases where a risk management cycle is applied to the product safety management program. Comparing the four product safety management programs suggested by several authors yielded common features of the risk management cycle: (1) organization for product safety, (2) risk identification, (3) risk evaluation, (4) risk treatment, (5) monitoring/communication, and (6) documentation. A Japan company(Ricoh)'s case showed that the risk management cycle to treat product liability risks can be used as a successful product safety management program.

An Integral Model for Product Liability and Safety using Hazard Analysis.

  • Kal, Won-Mo;Hahm, Hyo-Joon
    • Journal of the Society of Korea Industrial and Systems Engineering
    • /
    • v.22 no.53
    • /
    • pp.79-88
    • /
    • 1999
  • This paper presents an integral model for product safety and product liability resulting from a defective product. The essence of the paper is the process of supply of manufacturing products which satisfy the product liability and the product safety in terms of consumers expectation levels. The main criteria of the product safety is the hazard level which involves in the severity and frequency. The proposed model shows the process to supply the manufactured products under the conditions that they are suitable in comparison of hazard level and safety level established by each company. If the product do not meet the safety level, this paper proposes that four different types of PL and PS countermeasures for the risk types are forward, respectively.

  • PDF

Development of Product Specification Management System for Product Data Integration Framework in Customer-Oriented Manufacturing Enterprise (고객지향 수주생산 기업에서 제품정보 통합체계를 위한 제품사양관리시스템 구축)

  • Jung, Soon-Il;Kim, Jae-Gyun;Jang, Gil-Sang
    • IE interfaces
    • /
    • v.21 no.1
    • /
    • pp.18-32
    • /
    • 2008
  • In recent, a general trend is observed towards more customized products and shorter product life cycles in manufacturing companies. In these companies, customers often wish to influence the product they order and to get a variant of product that meets their requirements. This environment is called as a customer-oriented manufacturing companies. This paper presents a procedure of product specification management for customer-oriented manufacturing companies by using product specification framework. This framework is founded on the product specification based product structure which is made of model, specification, function, and part. Also, a product specification management system(PSMS) is implemented by using the proposed product specification framework and is a core system in product data integration system. To illustrate an utilization of the proposed framework and procedure, a case of a ship engine product is applied. As a result, PSMS reduces delivery time and improves customer relationships. Moreover, the case shows that PSMS can be used as a tool for improving inter-department coordination within a company during product life cycle.

Product Variety Modeling Based on Formal Concept Analysis

  • Kim, Tai-Oun
    • Industrial Engineering and Management Systems
    • /
    • v.9 no.1
    • /
    • pp.1-9
    • /
    • 2010
  • Increasing product variety based on product family and product platform provides a company with a competitive advantage over its competitors. As products become more complex, short-life cycled and customized, the design efforts require more knowledge-intensive, collaborative and coordinating efforts for information sharing. By sharing knowledge, information, component and process across different families of products, the product realization process will be more efficient, cost-effective and quick-responsive. Formal Concept Analysis (FCA) is used for analyzing data and forming semantic structures that are formal abstractions of concepts of human thoughts. A Web Ontology Language (OWL) is designed for applications that need to process the content of information instead of simply presenting information to humans. OWL also captures the evolution of different components of the product family. The purpose of this paper is to develop product variety modeling to increase the usefulness of common platform. In constructing and analyzing product ontology, FCA is adopted for conceptual knowledge processing. For the selected product family, product variety Ontology is constructed and implemented using prot$\'{e}$g$\'{e}$-2000.

Unstructured Data Quantification Scheme Based on Text Mining for User Feedback Extraction (사용자 의견 추출을 위한 텍스트 마이닝 기반 비정형 데이터 정량화 방안)

  • Jo, Jung-Heum;Chung, Yong-Taek;Choi, Seong-Wook;Ok, Changsoo
    • Journal of the Society of Korea Industrial and Systems Engineering
    • /
    • v.41 no.4
    • /
    • pp.131-137
    • /
    • 2018
  • People write reviews of numerous products or services on the Internet, in their blogs or community bulletin boards. These unstructured data contain important emotions and opinions about the author's product or service, which can provide important information for future product design or marketing. However, this text-based information cannot be evaluated quantitatively, and thus they are difficult to apply to mathematical models or optimization problems for product design and improvement. Therefore, this study proposes a method to quantitatively extract user's opinion or preference about a specific product or service by utilizing a lot of text-based information existing on the Internet or online. The extracted unstructured text information is decomposed into basic unit words, and positive rate is evaluated by using existing emotional dictionaries and additional lists proposed in this study. This can be a way to effectively utilize unstructured text data, which is being generated and stored in vast quantities, in product or service design. Finally, to verify the effectiveness of the proposed method, a case study was conducted using movie review data retrieved from a portal website. By comparing the positive rates calculated by the proposed framework with user ratings for movies, a guideline on text mining based evaluation of unstructured data is provided.