• Title/Summary/Keyword: Green Product Family Index

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Development of a New Green Product Family Index Considering Environmental Performance (환경성을 고려한 새로운 그린 Product Family 지수 개발)

  • Seo, Kwang-Kyu;Jeon, Hangoo
    • Journal of Digital Convergence
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    • v.11 no.3
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    • pp.175-180
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    • 2013
  • To compete global marketplace, many firms are adopting product families to increase variety, satisfy customer requirements, shorten lead-times and reduce costs. The key to a successful product family is the platform from which it is derived. When designing product families, it is important to resolve the tradeoff between product commonality and distinctiveness. To measure the commonality within a product family, it is necessary to develop the commonality index. It utilizes different parameters such as the number of common components, their cost, their manufacturing processes and so on. This paper present a new product family assessment index using the benchmarking method and considering environmental performance called green product family index(GPFI). Through the comparison analysis between some previous developed commonality indices and GPFI, we verify the suitability and effectiveness. Eventually, the proposed a new green product family assessment index can be helpful to design and develop the environmentally conscious product families.

A Metaheuristic Algorithm based Redesign Methodology for Green Product Family Considering Environmental Performance (환경성을 고려한 메타 휴리스틱 알고리즘 기반의 그린 Product Family 재설계 방법론)

  • Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.12 no.5
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    • pp.125-130
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    • 2014
  • The competitiveness in today's global market forces many companies to develop families of products to provide enough variety for the marketplace. The challenge when designing a product family is in resolving the tradeoff between product commonality and distinctiveness. Simultaneously it is necessary to consider environmental performance to design a product family as well as to shorten lead-times, improve quality and reduce costs. This paper proposes a metaheuristic algorithm based redesign methodology for green product family considering environmental performance. The proposed method uses a genetic algorithm as metaheuristic algorithm and green product family index (GPFI) to support green product family design. In addition, it provides the redesign methodology such as product family level and component level. A case study used table lamps as an product family's example shows the verification and effectiveness of the proposed method.