{"title":"两种回收模式下基于系统动态的汽车发动机再制造经济分析模型","authors":"Junli Shi, Zhongchi Lu, Huanhuan Xu, Jipei Cui","doi":"10.1108/jedt-07-2022-0333","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe purpose of this study is to present a system dynamic (SD)-based remanufacturing economic analysis model of used automobile engine under two recycling modes. The authors will compare the remanufacturing cost, sales profit and sales revenue from time and space dimensions incurred in different recycling modes in the long run.\n\n\nDesign/methodology/approach\nThe remanufacturing economic analysis model is based on SD methodology. The authors can simulate the relations of impact factors on automobile engine recycling and remanufacturing and further analyze and compare the cost, sales profit and sales revenue incurred in different recycling modes in the long term.\n\n\nFindings\nSinotruk Steyr engine remanufacturing in Shandong province is taken as the research case subject. The revenue, cost and profit under the two recycling modes from 2015 to 2035 are analyzed and compared. The results show that different recycling modes have significant varying influence on the economy of engine remanufacturing.\n\n\nOriginality/value\nThis economic analysis model can provide a method reference to decide the recycling mode for auto components and other product remanufacturing. Moreover, this model can guide and support the sustainable development of remanufacturing industry.\n","PeriodicalId":46533,"journal":{"name":"Journal of Engineering Design and Technology","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"System dynamic-based remanufacturing economic analysis model of used automobile engine under two recycling modes\",\"authors\":\"Junli Shi, Zhongchi Lu, Huanhuan Xu, Jipei Cui\",\"doi\":\"10.1108/jedt-07-2022-0333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThe purpose of this study is to present a system dynamic (SD)-based remanufacturing economic analysis model of used automobile engine under two recycling modes. The authors will compare the remanufacturing cost, sales profit and sales revenue from time and space dimensions incurred in different recycling modes in the long run.\\n\\n\\nDesign/methodology/approach\\nThe remanufacturing economic analysis model is based on SD methodology. The authors can simulate the relations of impact factors on automobile engine recycling and remanufacturing and further analyze and compare the cost, sales profit and sales revenue incurred in different recycling modes in the long term.\\n\\n\\nFindings\\nSinotruk Steyr engine remanufacturing in Shandong province is taken as the research case subject. The revenue, cost and profit under the two recycling modes from 2015 to 2035 are analyzed and compared. The results show that different recycling modes have significant varying influence on the economy of engine remanufacturing.\\n\\n\\nOriginality/value\\nThis economic analysis model can provide a method reference to decide the recycling mode for auto components and other product remanufacturing. Moreover, this model can guide and support the sustainable development of remanufacturing industry.\\n\",\"PeriodicalId\":46533,\"journal\":{\"name\":\"Journal of Engineering Design and Technology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2022-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Engineering Design and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jedt-07-2022-0333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering Design and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jedt-07-2022-0333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
System dynamic-based remanufacturing economic analysis model of used automobile engine under two recycling modes
Purpose
The purpose of this study is to present a system dynamic (SD)-based remanufacturing economic analysis model of used automobile engine under two recycling modes. The authors will compare the remanufacturing cost, sales profit and sales revenue from time and space dimensions incurred in different recycling modes in the long run.
Design/methodology/approach
The remanufacturing economic analysis model is based on SD methodology. The authors can simulate the relations of impact factors on automobile engine recycling and remanufacturing and further analyze and compare the cost, sales profit and sales revenue incurred in different recycling modes in the long term.
Findings
Sinotruk Steyr engine remanufacturing in Shandong province is taken as the research case subject. The revenue, cost and profit under the two recycling modes from 2015 to 2035 are analyzed and compared. The results show that different recycling modes have significant varying influence on the economy of engine remanufacturing.
Originality/value
This economic analysis model can provide a method reference to decide the recycling mode for auto components and other product remanufacturing. Moreover, this model can guide and support the sustainable development of remanufacturing industry.
期刊介绍:
- Design strategies - Usability and adaptability - Material, component and systems performance - Process control - Alternative and new technologies - Organizational, management and research issues - Human factors - Environmental, quality and health and safety issues - Cost and life cycle issues - Sustainability criteria, indicators, measurement and practices - Risk management - Entrepreneurship Law, regulation and governance - Design, implementing, managing and practicing innovation - Visualization, simulation, information and communication technologies - Education practices, innovation, strategies and policy issues.