2022
DOI: 10.1016/j.resconrec.2021.105999
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Optimizing sustainability performance through component commonality for multi-generational products

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Cited by 14 publications
(14 citation statements)
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“…Others explored DfS optimization to identify metric models and constraints relevant to CE. For example, Hapuwatte et al [10] optimized the sustainability performance of multi-generational products by using design configuration choices based on TBL objectives: minimize greenhouse gas (GHG) emissions, maximize profit, and maximize product functionality. Other studies optimized product design by considering trade-offs between life cycle cost and environmental impact [11] and disassemblability [12].…”
Section: Current Literature On Optimization For Manufacturing Cementioning
confidence: 99%
“…Others explored DfS optimization to identify metric models and constraints relevant to CE. For example, Hapuwatte et al [10] optimized the sustainability performance of multi-generational products by using design configuration choices based on TBL objectives: minimize greenhouse gas (GHG) emissions, maximize profit, and maximize product functionality. Other studies optimized product design by considering trade-offs between life cycle cost and environmental impact [11] and disassemblability [12].…”
Section: Current Literature On Optimization For Manufacturing Cementioning
confidence: 99%
“…In this work, those parameters are assumed to be deterministic. The diffusion parameters p and q are assumed to be the same for Gen1 and Gen2 [7].…”
Section: Simulation Setupmentioning
confidence: 99%
“…Previous work discussed [7] the use of the Norton-Bass (NB) diffusion model [9] to simulate the sales of two generations of a product. NB model Eqs.…”
Section: Modeling the Product Demand And Returnsmentioning
confidence: 99%
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