5 research outputs found

    Coping with disassembly yield uncertainty in remanufacturing using sensor embedded products

    Get PDF
    ยฉ 2011, Ilgin et al; licensee Springer.This paper proposes and investigates the use of embedding sensors in products when designing and manufacturing them to improve the efficiency during their end-of-life (EOL) processing. First, separate design of experiments studies based on orthogonal arrays are carried out for conventional products (CPs) and sensor embedded products (SEPs). In order to calculate the response values for each experiment, detailed discrete event simulation models of both cases are developed considering the precedence relationships among the components together with the routing of different appliance types through the disassembly line. Then, pair-wise t-tests are conducted to compare the two cases based on different performance measures. The results showed that sensor embedded products improve revenue and profit while achieving significant reductions in backorder, disassembly, disposal, holding, testing and transportation costs. While the paper addresses the EOL processing of dish washers and dryers, the approach provided could be extended to any other industrial product

    Planning for selective disassembly considering condition of End-of-Life product and operation of disassembly line

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์‚ฐ์—…๊ณตํ•™๊ณผ, 2023. 2. ํ™์œ ์„.ํ˜„๋Œ€ ๊ธฐ์—…์€ ์ด์œค๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ™˜๊ฒฝ์˜ค์—ผ์˜ ๋ฐฉ์ง€ ๋ฐ ๊ฐœ์„ ์„ ์œ„ํ•ด ๋…ธ๋ ฅํ•ด์•ผ ํ•œ๋‹ค. ๊ทธ๋ž˜์„œ ์ œํ’ˆ์„ ๋‹จ์ˆœํžˆ ์ƒ์‚ฐํ•˜๊ณ  ํŒ๋งคํ•˜๋Š” ๊ฒƒ์—์„œ ๊ทธ์น˜์ง€ ์•Š๊ณ  ํ๊ธฐ ์ดํ›„์˜ ๋‹จ๊ณ„์— ๋Œ€ํ•ด์„œ๋„ ๊นŠ์ด ๊ณ ๋ คํ•ด์•ผ ํ•œ๋‹ค. ํ๊ธฐ ์ดํ›„์˜ ์ œํ’ˆ์— ๋Œ€ํ•ด์„œ ์ œํ’ˆ์˜ ๋ณต๊ตฌ๋ฅผ ํ•˜๊ฒŒ ๋˜๋ฉด ๊ฒฝ์ œ์ , ํ™˜๊ฒฝ์ ์ธ ๋ฉด์—์„œ ํฐ ํšจ๊ณผ๋ฅผ ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด์„œ๋Š” ๋ถ„ํ•ด์˜ ๊ณผ์ •์ด ํ•„์ˆ˜์ ์ธ๋ฐ, ํšจ์œจ์ ์ด๊ณ  ๊ฒฝ์ œ์  ๋ถ„ํ•ด๊ณ„ํš์„ ์ˆ˜๋ฆฝํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋ฉฐ, ์ด๊ฒƒ์ด ๋ถ„ํ•ด์— ๊ด€ํ•œ ์—ฐ๊ตฌ์˜ ํ•ต์‹ฌ์ด๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ฒ€์‚ฌ์— ๊ธฐ๋ฐ˜์„ ๋‘” ์„ ํƒ์  ๋ถ„ํ•ด๋ผ๋Š” ํ”„๋ ˆ์ž„์›Œํฌ ํ•˜์—์„œ ํ๊ธฐ์ œํ’ˆ์˜ ์ƒํƒœ์™€ ๋ผ์ธ์˜ ์šด์˜ ์ธก๋ฉด์„ ๋™์‹œ์— ๊ณ ๋ คํ•˜์—ฌ ๋ผ์ธ๋ณ„ ๋ถ„ํ•ด๊ณต์ •์„ ์–ด๋–ป๊ฒŒ ๊ตฌ์„ฑํ•  ๊ฒƒ์ธ์ง€, ํ๊ธฐ์ œํ’ˆ์˜ ์ƒํƒœ์— ๋”ฐ๋ผ ๋ถ„๋ฅ˜ํ•œ ๊ทธ๋ฃน๋ณ„๋กœ ์–ด๋Š ๋ผ์ธ์—์„œ ๋ถ„ํ•ด๋ฅผ ํ•  ๊ฒƒ์ธ์ง€๋ฅผ ๋™์‹œ์— ๊ฒฐ์ •ํ•˜๋Š” ์ตœ์ ํ™” ๋ชจ๋ธ์„ ์ œ์•ˆํ•œ๋‹ค. ์ด๋Š” ์ œํ’ˆ ์ธก๋ฉด๊ณผ ๋ผ์ธ ์ธก๋ฉด์„ ๋™์‹œ์— ๊ณ ๋ คํ•œ ๋ถ„ํ•ด๊ณ„ํš ์ˆ˜๋ฆฝ์ด๋ผ๋Š” ์ ์—์„œ ๊ธฐ์กด ์—ฐ๊ตฌ์™€๋Š” ์ฐจ๋ณ„์„ฑ์„ ๊ฐ–๋Š”๋‹ค. ํ๊ธฐ์ œํ’ˆ์˜ ์ƒํƒœ๋Š” ์ œํ’ˆ์ด ์šด์˜๋˜์—ˆ๋˜ ํ™˜๊ฒฝ์— ์˜ํ•ด์„œ ๋งค์šฐ ๋‹ค์–‘ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๋ชฉํ‘œ๋ถ€ํ’ˆ์€ ์‚ฌ์ „์— ์ •ํ•ด์ง€๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๊ฒ€์‚ฌ๋ฅผ ํ†ตํ•ด์„œ ๊ฒฐ์ •๋˜๋ฉฐ, ์ด ๊ฒ€์‚ฌ์˜ ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„ํ•ด ์ „ ๊ฒ€์‚ฌ์™€ ๋ถ„ํ•ด ํ›„ ๊ฒ€์‚ฌ๋กœ ๋‚˜๋ˆŒ ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋ถ„ํ•ด๋ผ์ธ์„ ์–ด๋–ป๊ฒŒ ์„ค์ •ํ•˜๋Š๋ƒ์— ๋”ฐ๋ผ์„œ ๋น„์šฉ๊ณผ ์–ป์„ ์ˆ˜ ์žˆ๋Š” ์ˆ˜์ต๊ณผ ๋น„์šฉ์ด ๋‹ฌ๋ผ์ง์„ ๊ณ ๋ คํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชจ๋ธ์€ ๊ธฐ์—…์˜ ์ˆ˜์ต์„ ์ตœ๋Œ€ํ™”ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•˜๋ฉฐ, ๋‹ค๋ฅธ ๋ฐฉ์‹์„ ํ™œ์šฉํ•œ ๋ถ„ํ•ด๊ณ„ํš๊ณผ์˜ ๋น„๊ต๋ฅผ ํ†ตํ•ด ์œ ํšจ์„ฑ์„ ์ž…์ฆํ•˜์˜€๋‹ค.Companies must strive not only to make profits but also to prevent and improve environment. Therefore, it is necessary not only to simply produce and sell products, but also to consider deeply the post-disposal stage. Recycling products after the disposal provides great effects in terms of economy and environment, and the process of disassembly is essential to do recycling. Therefore, it is important to establish an efficient and economical disassembly plan, which is the core of research on disassembly. In the framework of selective disassembly based on inspection, this study proposes an optimization model that simultaneously determines how to organize the disassembly process for each line and which line to disassemble for each group of EOL products. This is different from previous studies in that it is a disassembly plan that considers both product and line aspects. Since the condition of the EOL product varies depending on the environment in which the product was operated, the target component is determined through inspection rather than pre-determined, and the method of this inspection can be divided into pre-disassembly and post-disassembly inspection. In addition, it is considered that the revenue and cost would vary depending on the setting of the disassembly line. The model of this study aims to maximize net profits and validated its effectiveness through comparison with disassembly plans using other methods์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ์„ ํ–‰์—ฐ๊ตฌ 7 2.1 ๋ถ„ํ•ด์— ๊ด€ํ•œ ์ „๋ฐ˜์ ์ธ ์—ฐ๊ตฌ 7 2.2 ์„ค๊ณ„ ๋‹จ๊ณ„์—์„œ์˜ ์—ฐ๊ตฌ: Design for disassembly 7 2.3 ์‚ฌ์šฉ ์ดํ›„ ๋‹จ๊ณ„์—์„œ์˜ ์—ฐ๊ตฌ 9 2.3.1 ๋ถ„ํ•ด planning 9 2.3.2 ๋ถ„ํ•ด scheduling 10 2.4 ์—ฐ๊ตฌ ์˜์˜ 11 ์ œ 3 ์žฅ ๋ชจ๋ธ 13 3.1 ์—ฐ๊ตฌ ํ”„๋ ˆ์ž„์›Œํฌ ๋ฐ ๋ฌธ์ œ์ƒํ™ฉ 13 3.2 ๋ชฉํ‘œ๋ถ€ํ’ˆ๋ชจ์Œ, ๋ถ„ํ•ด์ž‘์—…๋ชฉ๋ก ์ƒ์„ฑ 15 3.2.1 ๋ถ€ํ’ˆ ๋ถ„๋ฅ˜ 16 3.2.2 ๋ชฉํ‘œ๋ถ€ํ’ˆ๋ชจ์Œ(TCS, target component set) ์ƒ์„ฑ 18 3.2.3 ๋ถ„ํ•ด์ž‘์—…๋ชฉ๋ก(DTS, disassembly task set) ์ƒ์„ฑ 18 3.2.4 ์ตœ์ข… ๋ชฉํ‘œ๋ถ€ํ’ˆ๋ชจ์Œ(FTCS), ๋ถ„ํ•ด์ž‘์—…๋ชฉ๋ก(FDTS) ์ƒ์„ฑ 19 3.3 ์ˆ˜๋ฆฌ์  ๋ชจํ˜• 21 3.3.1 Notation 21 3.3.2 ๋ชฉ์ ํ•จ์ˆ˜ 22 3.3.3 ์ œ์•ฝ์กฐ๊ฑด 24 ์ œ 4 ์žฅ ์‚ฌ๋ก€ ์—ฐ๊ตฌ 25 4.1. ๋ถ€ํ’ˆ ๋ถ„๋ฅ˜ 25 4.2. ์ดˆ๊ธฐ ๋ชฉํ‘œ๋ถ€ํ’ˆ๋ชจ์Œ(TCS) ์ƒ์„ฑ 27 4.3. ์ดˆ๊ธฐ ๋ถ„ํ•ด์ž‘์—…๋ชฉ๋ก(DTS ์ƒ์„ฑ 28 4.4. ์ตœ์ข… ๋ชฉํ‘œ๋ถ€ํ’ˆ๋ชจ์Œ(TCS), ๋ถ„ํ•ด์ž‘์—…๋ชฉ๋ก(DTS) ์ƒ์„ฑ 30 4.5. ์‚ฌ๋ก€์—ฐ๊ตฌ ๊ฒฐ๊ณผ 33 4.6. ์œ ํšจ์„ฑ ์ž…์ฆ 34 4.6.1 ์œ ํšจ์„ฑ ํ‰๊ฐ€ ๋Œ€์•ˆ 34 4.6.2 ์œ ํšจ์„ฑ ํ‰๊ฐ€ ๊ฒฐ๊ณผ 35 ์ œ 5 ์žฅ ๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ 37 5.1. ๊ฒฐ๋ก  37 5.2. ํ•œ๊ณ„์  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ 38 ์ฐธ๊ณ ๋ฌธํ—Œ 40 Abstract 45์„

    Modeling and Optimization of Disassembly Systems with a High Variety of End of Life States.

    Full text link
    Remanufacturing is a promising product recovery method that brings new life to cores that otherwise would be discarded thus losing all value. Disassembly is a sub-process of remanufacturing where components and modules are removed from the core, sorted and graded, and directly reused, refurbished, recycled, or disposed of. Disassembly is the backbone of the remanufacturing process because this is where the reuse value of components and modules is realized. Disassembly is a process that is also very difficult in most instances because it is a mostly manual process creating stochastic removal times of components. There is a high variety of EOL states a core can be in when disassembled and an economic downside due to not all components having reuse potential. This thesis focuses on addressing these difficulties of disassembly in the areas of sequence generation, line balancing, and throughput modeling. In Chapter 2, we develop a series of sequence generation models that considers the material properties, partial disassembly, and sequence dependent task times to determine the optimal order of disassembly in the presence of a high variety of EOL states. In Chapter 3, we develop a joint precedence graph method for disassembly that models all possible EOL states a core can be in that can be used with a wide variety of line balancing algorithms. We also develop a stochastic joint precedence graph method in the situation where some removal times of components are normal random variables. In Chapter 4, we further advance the analytical modeling framework to analyze transfer lines that perform routing logics that result from a high variety of EOL states, such as a restrictive split routing logic and the possibility that disassembly and split operations can be performed at the same workstation.PhDIndustrial and Operations EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/111570/1/robriggs_1.pd
    corecore