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Published in: Operations Management Research 3-4/2021

13-11-2021

Assessment the effect of rapid prototyping implementation on supply chain sustainability: a system dynamics approach

Authors: Nazanin Hosseini Arian, Alireza Pooya, Fariborz Rahimnia, Ali Sibevei

Published in: Operations Management Research | Issue 3-4/2021

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Abstract

The present study aimed to assess the effect of implementing Rapid Prototyping (RP) in the product development phase on the sustainability of a conventional supply chain. The sustainability indicators of RP utilization were identified through a critical literature review and consulting two experienced RP practitioners to determine the key variables regarding the potential impact of RP on the supply chain components, with an emphasis on sustainability pillars. A generic system dynamics modeling was provided to simulate the RP-adapted supply chain and measure its sustainability performance. The simulation results indicated that RP utilization in the design phase could decrease the number of the assembly parts and material consumption in conventional manufacturing, while indirectly affecting the reduction of waste generation, logistics, CO2 emissions, processes, and the total costs which are related to environmental and economic aspects of the sustainable supply chain. Findings indicated that significant increase in operational skills and knowledge as the main indicators of the social dimension could remarkably reduce the failure rates and increase the quality of the products. This indicator plays a pivotal role in operational success and could be enhanced through training programs. Social sustainability indirectly affects environmental and economic sustainability. This was the first model-based research to examine the potential effects of RP on the sustainability of a conventional manufacturing. The proposed generic model encompassed the variables that could be applicable in every scenario to help decision-makers change values or add more variables within specific industry settings and choose the applicable ones, which in turn, accelerating the RP adoption in supply chains and providing insights for operational decisions regarding product design stage.

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Appendix
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Literature
go back to reference Ahi P, Searcy C (2013) A comparative literature analysis of definitions for green and sustainable supply chain management. J Clean Prod 52:329–341CrossRef Ahi P, Searcy C (2013) A comparative literature analysis of definitions for green and sustainable supply chain management. J Clean Prod 52:329–341CrossRef
go back to reference Alabi MO, De Beer D, Wichers H (2019) Applications of additive manufacturing at selected South African universities:Promoting additive manufacturing education. Rapid Prototyp J 25(4):752–764CrossRef Alabi MO, De Beer D, Wichers H (2019) Applications of additive manufacturing at selected South African universities:Promoting additive manufacturing education. Rapid Prototyp J 25(4):752–764CrossRef
go back to reference Angerhofer BJ, Angelides MC (2000) System Dynamics Modelling in Supply Chain Management: Research Review. Paper Presented at the 2000 Winter Simulation Conference, Orlando, FL Angerhofer BJ, Angelides MC (2000) System Dynamics Modelling in Supply Chain Management: Research Review. Paper Presented at the 2000 Winter Simulation Conference, Orlando, FL
go back to reference Arrighi PA, Mougenot C (2019) Towards user empowerment in product design: A mixed reality tool for interactive virtual prototyping. J Intell Manuf 30(2):743–754CrossRef Arrighi PA, Mougenot C (2019) Towards user empowerment in product design: A mixed reality tool for interactive virtual prototyping. J Intell Manuf 30(2):743–754CrossRef
go back to reference Ashour Pour M, Zanoni S, Bacchetti A, Zanardini M, Perona M (2017) Additive manufacturing impacts on a two-level supply chain. Int J Syst Sci: Oper Logist 1–14 Ashour Pour M, Zanoni S, Bacchetti A, Zanardini M, Perona M (2017) Additive manufacturing impacts on a two-level supply chain. Int J Syst Sci: Oper Logist 1–14
go back to reference Attaran M (2017) The rise of 3-D printing: The advantages of additive manufacturing over traditional manufacturing. Bus Horiz 60(5):677–688CrossRef Attaran M (2017) The rise of 3-D printing: The advantages of additive manufacturing over traditional manufacturing. Bus Horiz 60(5):677–688CrossRef
go back to reference Barlas Y (1989) Multiple tests for validation of system dynamics type of simulation models. Eur J Oper Res 42(1):59–87CrossRef Barlas Y (1989) Multiple tests for validation of system dynamics type of simulation models. Eur J Oper Res 42(1):59–87CrossRef
go back to reference Baumers M, Wildman R, Wallace M, Yoo J, Blackwell B, Farr P, Roberts CJ (2019) Using total specific cost indices to compare the cost performance of additive manufacturing for the medical devices domain. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233(4):1235–1249CrossRef Baumers M, Wildman R, Wallace M, Yoo J, Blackwell B, Farr P, Roberts CJ (2019) Using total specific cost indices to compare the cost performance of additive manufacturing for the medical devices domain. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233(4):1235–1249CrossRef
go back to reference Berg V, Birkeland J, Nguyen-Duc A, Pappas IO, Jaccheri L (2020) Achieving agility and quality in product development-an empirical study of hardware startups. J Syst Softw 167:110599 Berg V, Birkeland J, Nguyen-Duc A, Pappas IO, Jaccheri L (2020) Achieving agility and quality in product development-an empirical study of hardware startups. J Syst Softw 167:110599
go back to reference Berman B (2012) 3-D printing: The new industrial revolution. Bus Horiz 55(2):155–162CrossRef Berman B (2012) 3-D printing: The new industrial revolution. Bus Horiz 55(2):155–162CrossRef
go back to reference Boateng P, Chen Z, Ogunlana SO (2017) Megaproject Risk Analysis and Simulation: A Dynamic Systems Approach. Emerald Publishing Limited Boateng P, Chen Z, Ogunlana SO (2017) Megaproject Risk Analysis and Simulation: A Dynamic Systems Approach. Emerald Publishing Limited
go back to reference Bonev M (2012) Managing reverse logistics using system dynamics: A generic end-to-end approach. Diplomica Verlag Bonev M (2012) Managing reverse logistics using system dynamics: A generic end-to-end approach. Diplomica Verlag
go back to reference Carter CR, Rogers DS (2008) A framework of sustainable supply chain management: Moving toward new theory. Int J Phys Distrib Logist Manag 38(5):360–387CrossRef Carter CR, Rogers DS (2008) A framework of sustainable supply chain management: Moving toward new theory. Int J Phys Distrib Logist Manag 38(5):360–387CrossRef
go back to reference Chakravarty TK, Panigrahi SK (1996) Strategies for solid waste management in SAIL steel plants. Nmlindia 52–62 Chakravarty TK, Panigrahi SK (1996) Strategies for solid waste management in SAIL steel plants. Nmlindia 52–62
go back to reference Chen D, Heyer S, Ibbotson S, Salonitis K, Steingrímsson JG, Thiede S (2015) Direct digital manufacturing: definition, evolution, and sustainability implications. J Clean Prod 107:615–625CrossRef Chen D, Heyer S, Ibbotson S, Salonitis K, Steingrímsson JG, Thiede S (2015) Direct digital manufacturing: definition, evolution, and sustainability implications. J Clean Prod 107:615–625CrossRef
go back to reference Choi S, Ng A (2011) Environmental and economic dimensions of sustainability and price effects on consumer responses. J Bus Ethics 104(2):269–282CrossRef Choi S, Ng A (2011) Environmental and economic dimensions of sustainability and price effects on consumer responses. J Bus Ethics 104(2):269–282CrossRef
go back to reference Chung HS, Kim SP, Choi Y (2020) Using additive manufactured parametric models for wind tunnel test-based aerodynamic shape optimization. Rapid Prototyp J Chung HS, Kim SP, Choi Y (2020) Using additive manufactured parametric models for wind tunnel test-based aerodynamic shape optimization. Rapid Prototyp J
go back to reference Colletti RC (2016) A study of positions available in additive manufacturing/3D printing and the education and skill requirements for these positions. Eastern Michigan University Colletti RC (2016) A study of positions available in additive manufacturing/3D printing and the education and skill requirements for these positions. Eastern Michigan University
go back to reference Corsini L, Moultrie J (2019) Design for social sustainability: Using digital fabrication in the humanitarian and development sector. Sustainability 11(13):3562CrossRef Corsini L, Moultrie J (2019) Design for social sustainability: Using digital fabrication in the humanitarian and development sector. Sustainability 11(13):3562CrossRef
go back to reference da Silva Barros K (2017) Identification of the environmental impacts contributors related to the use of Additive Manufacturing technologies (Doctoral dissertation, Université Grenoble Alpes) da Silva Barros K (2017) Identification of the environmental impacts contributors related to the use of Additive Manufacturing technologies (Doctoral dissertation, Université Grenoble Alpes)
go back to reference Despeisse M, Baumers M, Brown P, Charnley F, Ford SJ, Garmulewicz A, Rowley J (2017) Unlocking value for a circular economy through 3D printing: A research agenda. Technol Forecast Soc Chang 115:75–84CrossRef Despeisse M, Baumers M, Brown P, Charnley F, Ford SJ, Garmulewicz A, Rowley J (2017) Unlocking value for a circular economy through 3D printing: A research agenda. Technol Forecast Soc Chang 115:75–84CrossRef
go back to reference Diegel O, Singamneni S, Reay S, Withell A (2010) Tools for sustainable product design: additive manufacturing. J Sustain Dev 3(3):68–75CrossRef Diegel O, Singamneni S, Reay S, Withell A (2010) Tools for sustainable product design: additive manufacturing. J Sustain Dev 3(3):68–75CrossRef
go back to reference Diker V, Luna-Reyes LF, Andersen DL (2005) Interviewing as a strategy for the assessment of system dynamics models. 23rd International Conference of the System Dynamics Society, Boston, MA Diker V, Luna-Reyes LF, Andersen DL (2005) Interviewing as a strategy for the assessment of system dynamics models. 23rd International Conference of the System Dynamics Society, Boston, MA
go back to reference Dornfeld D (2011) Leveraging manufacturing for a sustainable future. In Glocalized Solutions for Sustainability in Manufacturing, Springer, Berlin, Heidelberg, pp 17–21 Dornfeld D (2011) Leveraging manufacturing for a sustainable future. In Glocalized Solutions for Sustainability in Manufacturing, Springer, Berlin, Heidelberg, pp 17–21
go back to reference Dubey R, Gunasekaran A, Papadopoulos T, Childe SJ, Shibin KT, Wamba SF (2017) Sustainable supply chain management: Framework and further research directions. J Clean Prod 142:1119–1130CrossRef Dubey R, Gunasekaran A, Papadopoulos T, Childe SJ, Shibin KT, Wamba SF (2017) Sustainable supply chain management: Framework and further research directions. J Clean Prod 142:1119–1130CrossRef
go back to reference Fagade A, Kapoor D, Kazner D (1998) A discussion of design and manufacturing complexity. Modelling in mechanical engineering and mechatronics: towards autonomous intelligent software models Fagade A, Kapoor D, Kazner D (1998) A discussion of design and manufacturing complexity. Modelling in mechanical engineering and mechatronics: towards autonomous intelligent software models
go back to reference Favi C, Germani M, Mandolini M (2016) Design for manufacturing and assembly vs. design to cost: Toward a multi-objective approach for decision-making strategies during conceptual design of complex products. Procedia CIRP 50:275–280CrossRef Favi C, Germani M, Mandolini M (2016) Design for manufacturing and assembly vs. design to cost: Toward a multi-objective approach for decision-making strategies during conceptual design of complex products. Procedia CIRP 50:275–280CrossRef
go back to reference Fontes CHDO, Freires FGM (2018) Sustainable and renewable energy supply chain: A system dynamics overview. Renew Sustain Energy Rev 82:247–259CrossRef Fontes CHDO, Freires FGM (2018) Sustainable and renewable energy supply chain: A system dynamics overview. Renew Sustain Energy Rev 82:247–259CrossRef
go back to reference Ford S, Despeisse M (2016) Additive manufacturing and sustainability: An exploratory study of the advantages and challenges. J Clean Prod 137:1573–1587CrossRef Ford S, Despeisse M (2016) Additive manufacturing and sustainability: An exploratory study of the advantages and challenges. J Clean Prod 137:1573–1587CrossRef
go back to reference Franco D, Ganga GMD, de Santa-Eulalia LA, Godinho Filho M (2020) Consolidated and inconclusive effects of additive manufacturing adoption: A systematic literature review. Comput Ind Eng 148:106713 Franco D, Ganga GMD, de Santa-Eulalia LA, Godinho Filho M (2020) Consolidated and inconclusive effects of additive manufacturing adoption: A systematic literature review. Comput Ind Eng 148:106713
go back to reference Friesike S, Flath CM, Wirth M, Thiesse F (2019) Creativity and productivity in product design for additive manufacturing: Mechanisms and platform outcomes of remixing. J Oper Manag 65(8):735–752CrossRef Friesike S, Flath CM, Wirth M, Thiesse F (2019) Creativity and productivity in product design for additive manufacturing: Mechanisms and platform outcomes of remixing. J Oper Manag 65(8):735–752CrossRef
go back to reference Fritz MM, Schöggl JP, Baumgartner RJ (2017) Selected sustainability aspects for supply chain data exchange: Towards a supply chain-wide sustainability assessment. J Clean Prod 141:587607 Fritz MM, Schöggl JP, Baumgartner RJ (2017) Selected sustainability aspects for supply chain data exchange: Towards a supply chain-wide sustainability assessment. J Clean Prod 141:587607
go back to reference Ghadge A, Kara ME, Moradlou H, Goswami M (2020) The impact of Industry 4.0 implementation on supply chains. J Manuf Technol Manage 31(4):669–686 Ghadge A, Kara ME, Moradlou H, Goswami M (2020) The impact of Industry 4.0 implementation on supply chains. J Manuf Technol Manage 31(4):669–686
go back to reference Gibson I, Rosen DW, Stucker B (2014) Additive manufacturing technologies, vol 17. Springer, New York Gibson I, Rosen DW, Stucker B (2014) Additive manufacturing technologies, vol 17. Springer, New York
go back to reference Glavič P, Lukman R (2007) Review of sustainability terms and their definitions. J Clean Prod 15(18):1875–1885CrossRef Glavič P, Lukman R (2007) Review of sustainability terms and their definitions. J Clean Prod 15(18):1875–1885CrossRef
go back to reference Greer JL, Jensen DD, Wood KL (2004) Effort flow analysis: A methodology for directed product evolution. Des Stud 25(2):193–214CrossRef Greer JL, Jensen DD, Wood KL (2004) Effort flow analysis: A methodology for directed product evolution. Des Stud 25(2):193–214CrossRef
go back to reference Größler A, Thun JH, Milling PM (2008) System dynamics as a structural theory in operations management. Prod Oper Manag 17(3):373–384CrossRef Größler A, Thun JH, Milling PM (2008) System dynamics as a structural theory in operations management. Prod Oper Manag 17(3):373–384CrossRef
go back to reference Hassini E, Surti C, Searcy C (2012) A literature review and a case study of sustainable supply chains with a focus on metrics. Int J Prod Econ 140(1):69–82CrossRef Hassini E, Surti C, Searcy C (2012) A literature review and a case study of sustainable supply chains with a focus on metrics. Int J Prod Econ 140(1):69–82CrossRef
go back to reference Hekkert MP, Suurs RA, Negro SO, Kuhlmann S, Smits RE (2007) Functions of innovation systems: a new approach for analysing technological change. Technol Forecast Soc Chang 74(4):413–432CrossRef Hekkert MP, Suurs RA, Negro SO, Kuhlmann S, Smits RE (2007) Functions of innovation systems: a new approach for analysing technological change. Technol Forecast Soc Chang 74(4):413–432CrossRef
go back to reference Huang SH, Liu P, Mokasdar A, Hou L (2013) Additive manufacturing and its societal impact: a literature review. Int J Adv Manuf Technol 67(5–8):1191–1203CrossRef Huang SH, Liu P, Mokasdar A, Hou L (2013) Additive manufacturing and its societal impact: a literature review. Int J Adv Manuf Technol 67(5–8):1191–1203CrossRef
go back to reference Irfani DP, Wibisono D, Basri MH (2019) Integrating performance measurement, system dynamics, and problem-solving methods. Int J Prod Perform Manage Irfani DP, Wibisono D, Basri MH (2019) Integrating performance measurement, system dynamics, and problem-solving methods. Int J Prod Perform Manage
go back to reference Ituarte IF, Kretzschmar N, Chekurov S, Partanen J, Tuomi J (2019) Additive manufacturing validation methods, technology transfer based on case studies. In Additive Manufacturing–Developments in Training and Education, Springer, Cham, pp 99–112 Ituarte IF, Kretzschmar N, Chekurov S, Partanen J, Tuomi J (2019) Additive manufacturing validation methods, technology transfer based on case studies. In Additive Manufacturing–Developments in Training and Education, Springer, Cham, pp 99–112
go back to reference Jiang R, Kleer R, Piller FT (2017) Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030. Technol Forecast Soc Chang 117:84–97CrossRef Jiang R, Kleer R, Piller FT (2017) Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030. Technol Forecast Soc Chang 117:84–97CrossRef
go back to reference Jin Y, Jin Y, Ji S, Ji S, Li X, Li X, Yu J (2017) A scientometric review of hotspots and emerging trends in additive manufacturing. J Manuf Technol Manag 28(1):18–38CrossRef Jin Y, Jin Y, Ji S, Ji S, Li X, Li X, Yu J (2017) A scientometric review of hotspots and emerging trends in additive manufacturing. J Manuf Technol Manag 28(1):18–38CrossRef
go back to reference Jung S, Laureijs RE, Combemale C, Whitefoot KS (2021) Design for nonassembly: Current status and future directions. J Mech Des 143(4):040801 Jung S, Laureijs RE, Combemale C, Whitefoot KS (2021) Design for nonassembly: Current status and future directions. J Mech Des 143(4):040801
go back to reference Kadir AZA, Yusof Y, Wahab MS (2020) Additive manufacturing cost estimation models—A classification review. Int J Adv Manuf Technol 107(9):4033–4053CrossRef Kadir AZA, Yusof Y, Wahab MS (2020) Additive manufacturing cost estimation models—A classification review. Int J Adv Manuf Technol 107(9):4033–4053CrossRef
go back to reference Kellens K, Baumers M, Gutowski TG, Flanagan W, Lifset R, Duflou JR (2017) Environmental dimensions of additive manufacturing: Mapping application domains and their environmental implications. J Ind Ecol 21(S1):S49–S68CrossRef Kellens K, Baumers M, Gutowski TG, Flanagan W, Lifset R, Duflou JR (2017) Environmental dimensions of additive manufacturing: Mapping application domains and their environmental implications. J Ind Ecol 21(S1):S49–S68CrossRef
go back to reference Khajavi SH, Partanen J, Holmström J (2014) Additive manufacturing in the spare parts supply chain. Comput Ind 65(1):50–63CrossRef Khajavi SH, Partanen J, Holmström J (2014) Additive manufacturing in the spare parts supply chain. Comput Ind 65(1):50–63CrossRef
go back to reference Khalid M, Peng Q (2021) Sustainability and environmental impact of additive manufacturing: A literature review. Comput-Aided Des Appl 18:1210–1232CrossRef Khalid M, Peng Q (2021) Sustainability and environmental impact of additive manufacturing: A literature review. Comput-Aided Des Appl 18:1210–1232CrossRef
go back to reference Khan SAR, Yu Z, Golpîra H, Sharif A, Mardani A (2020) A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions. J Clean Prod 123357 Khan SAR, Yu Z, Golpîra H, Sharif A, Mardani A (2020) A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions. J Clean Prod 123357
go back to reference Khan SAR, Yu Z (2020) Assessing the eco-environmental performance: An PLS-SEM approach with practice-based view. Int J Logist Res Appl 1–19 Khan SAR, Yu Z (2020) Assessing the eco-environmental performance: An PLS-SEM approach with practice-based view. Int J Logist Res Appl 1–19
go back to reference Knofius N, van der Heijden MC, Zijm WH (2019) Consolidating spare parts for asset maintenance with additive manufacturing. Int J Prod Econ 208:269–280CrossRef Knofius N, van der Heijden MC, Zijm WH (2019) Consolidating spare parts for asset maintenance with additive manufacturing. Int J Prod Econ 208:269–280CrossRef
go back to reference Kondoh S, Tateno T, Kishita Y, Komoto H, Fukushige S (2017) The potential of additive manufacturing technology for realizing a sustainable society. In Sustainability through innovation in product life cycle design, Springer, Singapore, pp 475–486 Kondoh S, Tateno T, Kishita Y, Komoto H, Fukushige S (2017) The potential of additive manufacturing technology for realizing a sustainable society. In Sustainability through innovation in product life cycle design, Springer, Singapore, pp 475–486
go back to reference Lane DC, Smart C (1996) Reinterpreting generic structure: Evolution, application and limitations of a concept. Syst Dynam Rev: J Syst Dynam Soc 12(2):87–120CrossRef Lane DC, Smart C (1996) Reinterpreting generic structure: Evolution, application and limitations of a concept. Syst Dynam Rev: J Syst Dynam Soc 12(2):87–120CrossRef
go back to reference Le Bourhis F, Kerbrat O, Hascoët JY, Mognol P (2013) Sustainable manufacturing: Evaluation and modeling of environmental impacts in additive manufacturing. Int J Adv Manuf Technol 69(9–12):1927–1939CrossRef Le Bourhis F, Kerbrat O, Hascoët JY, Mognol P (2013) Sustainable manufacturing: Evaluation and modeling of environmental impacts in additive manufacturing. Int J Adv Manuf Technol 69(9–12):1927–1939CrossRef
go back to reference Lee S, Geum Y, Lee H, Park Y (2012) Dynamic and multidimensional measurement of product-service system (PSS) sustainability: A triple bottom line (TBL)-based system dynamics approach. J Clean Prod 32:173–182CrossRef Lee S, Geum Y, Lee H, Park Y (2012) Dynamic and multidimensional measurement of product-service system (PSS) sustainability: A triple bottom line (TBL)-based system dynamics approach. J Clean Prod 32:173–182CrossRef
go back to reference Li Y, Jia G, Cheng Y, Hu Y (2017) Additive manufacturing technology in spare parts supply chain: A comparative study. Int J Prod Res 55(5):1498–1515CrossRef Li Y, Jia G, Cheng Y, Hu Y (2017) Additive manufacturing technology in spare parts supply chain: A comparative study. Int J Prod Res 55(5):1498–1515CrossRef
go back to reference Li X, Jia X, Yang Q, Lee J (2020) Quality analysis in metal additive manufacturing with deep learning. J Intell Manuf 1–15 Li X, Jia X, Yang Q, Lee J (2020) Quality analysis in metal additive manufacturing with deep learning. J Intell Manuf 1–15
go back to reference Lopez SM, Wright PK (2002) The role of rapid prototyping in the product development process: A case study on the ergonomic factors of handheld video games. Rapid Prototyp J 8(2):116–125CrossRef Lopez SM, Wright PK (2002) The role of rapid prototyping in the product development process: A case study on the ergonomic factors of handheld video games. Rapid Prototyp J 8(2):116–125CrossRef
go back to reference Ma J, Harstvedt JD, Dunaway D, Bian L, Jaradat R (2018) An exploratory investigation of Additively Manufactured Product life cycle sustainability assessment. J Clean Prod 192:55–70 Ma J, Harstvedt JD, Dunaway D, Bian L, Jaradat R (2018) An exploratory investigation of Additively Manufactured Product life cycle sustainability assessment. J Clean Prod 192:55–70
go back to reference Mani V, Gunasekaran A, Delgado C (2018) Supply chain social sustainability: Standard adoption practices in Portuguese manufacturing firms. Int J Prod Econ 198:149–164CrossRef Mani V, Gunasekaran A, Delgado C (2018) Supply chain social sustainability: Standard adoption practices in Portuguese manufacturing firms. Int J Prod Econ 198:149–164CrossRef
go back to reference Matos F, Godina R, Jacinto C, Carvalho H, Ribeiro I, Peças P (2019) Additive manufacturing: Exploring the social changes and impacts. Sustainability 11(14):3757CrossRef Matos F, Godina R, Jacinto C, Carvalho H, Ribeiro I, Peças P (2019) Additive manufacturing: Exploring the social changes and impacts. Sustainability 11(14):3757CrossRef
go back to reference Matos F, Jacinto C (2019) Additive manufacturing technology: mapping social impacts. J Manuf Technol Manage Matos F, Jacinto C (2019) Additive manufacturing technology: mapping social impacts. J Manuf Technol Manage
go back to reference Mellor S, Hao L, Zhang D (2014) Additive manufacturing: A framework for implementation. Int J Prod Econ 149:194–201CrossRef Mellor S, Hao L, Zhang D (2014) Additive manufacturing: A framework for implementation. Int J Prod Econ 149:194–201CrossRef
go back to reference Morecroft JD (1982) A critical review of diagramming tools for conceptualizing feedback system models. Dynamica 8(1):20–29 Morecroft JD (1982) A critical review of diagramming tools for conceptualizing feedback system models. Dynamica 8(1):20–29
go back to reference Naghshineh B, Ribeiro A, Jacinto C, Carvalho H (2020) Social impacts of additive manufacturing: A stakeholder-driven framework. Technol Forecast Soc Change 120368 Naghshineh B, Ribeiro A, Jacinto C, Carvalho H (2020) Social impacts of additive manufacturing: A stakeholder-driven framework. Technol Forecast Soc Change 120368
go back to reference Narimissa O, Kangarani-Farahani A, Molla-Alizadeh-Zavardehi S (2020) Evaluation of sustainable supply chain management performance: Indicators. Sustain Dev 28(1):118–131CrossRef Narimissa O, Kangarani-Farahani A, Molla-Alizadeh-Zavardehi S (2020) Evaluation of sustainable supply chain management performance: Indicators. Sustain Dev 28(1):118–131CrossRef
go back to reference Niaki MK, Nonino F (2017a) Impact of additive manufacturing on business competitiveness: A multiple case study. J Manuf Technol Manag 28(1):56–74CrossRef Niaki MK, Nonino F (2017a) Impact of additive manufacturing on business competitiveness: A multiple case study. J Manuf Technol Manag 28(1):56–74CrossRef
go back to reference Niaki MK, Nonino F (2017b) Additive manufacturing management: a review and future research agenda. Int J Prod Res 55(5):1419–1439CrossRef Niaki MK, Nonino F (2017b) Additive manufacturing management: a review and future research agenda. Int J Prod Res 55(5):1419–1439CrossRef
go back to reference Niaki MK, Nonino F (2018) Selection and implementation of additive manufacturing. In The Management of Additive Manufacturing, Springer, Cham, pp 193–220 Niaki MK, Nonino F (2018) Selection and implementation of additive manufacturing. In The Management of Additive Manufacturing, Springer, Cham, pp 193–220
go back to reference Nie Z, Jung S, Kara LB, Whitefoot KS (2020) Optimization of part consolidation for minimum production costs and time using additive manufacturing. J Mech Des 142(7) Nie Z, Jung S, Kara LB, Whitefoot KS (2020) Optimization of part consolidation for minimum production costs and time using additive manufacturing. J Mech Des 142(7)
go back to reference Oettmeier K, Hofmann E (2017) Additive manufacturing technology adoption: An empirical analysis of general and supply chain-related determinants. J Bus Econ 87(1):97–124 Oettmeier K, Hofmann E (2017) Additive manufacturing technology adoption: An empirical analysis of general and supply chain-related determinants. J Bus Econ 87(1):97–124
go back to reference Özbayrak M, Papadopoulou TC, Akgun M (2007) Systems dynamics modelling of a manufacturing supply chain system. Simul Model Pract Theory 15(10):1338–1355CrossRef Özbayrak M, Papadopoulou TC, Akgun M (2007) Systems dynamics modelling of a manufacturing supply chain system. Simul Model Pract Theory 15(10):1338–1355CrossRef
go back to reference Peng T, Kellens K, Tang R, Chen C, Chen G (2018) Sustainability of additive manufacturing: An overview on its energy demand and environmental impact. Addit Manuf 21:694–704 Peng T, Kellens K, Tang R, Chen C, Chen G (2018) Sustainability of additive manufacturing: An overview on its energy demand and environmental impact. Addit Manuf 21:694–704
go back to reference Pérez-Pérez M, Gómez E, Sebastián MA (2018) Delphi prospection on additive manufacturing in 2030: Implications for education and employment in Spain. Materials 11(9):1500CrossRef Pérez-Pérez M, Gómez E, Sebastián MA (2018) Delphi prospection on additive manufacturing in 2030: Implications for education and employment in Spain. Materials 11(9):1500CrossRef
go back to reference Piller FT, Weller C, Kleer R (2015) Business models with additive manufacturing opportunities and challenges from the perspective of economics and management. In Advances in Production Technology, Springer, Cham, pp 39–48 Piller FT, Weller C, Kleer R (2015) Business models with additive manufacturing opportunities and challenges from the perspective of economics and management. In Advances in Production Technology, Springer, Cham, pp 39–48
go back to reference Poles R (2013) System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies. Int J Prod Econ 144(1):189–199CrossRef Poles R (2013) System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies. Int J Prod Econ 144(1):189–199CrossRef
go back to reference Prakash WN, Sridhar VG, Annamalai K (2014) New product development by DFMA and rapid prototyping. ARPN J Eng Appl Sci 9(3):274–279 Prakash WN, Sridhar VG, Annamalai K (2014) New product development by DFMA and rapid prototyping. ARPN J Eng Appl Sci 9(3):274–279
go back to reference Pruyt E (2013) Small system dynamics models for big issues: Triple jump towards real-world complexity Pruyt E (2013) Small system dynamics models for big issues: Triple jump towards real-world complexity
go back to reference Ribeiro I, Matos F, Jacinto C, Salman H, Cardeal G, Carvalho H, Peças P (2020) Framework for life cycle sustainability assessment of additive manufacturing. Sustainability 12(3):929CrossRef Ribeiro I, Matos F, Jacinto C, Salman H, Cardeal G, Carvalho H, Peças P (2020) Framework for life cycle sustainability assessment of additive manufacturing. Sustainability 12(3):929CrossRef
go back to reference Rinaldi M, Caterino M, Fera M, Manco P, Macchiaroli R (2021) Technology selection in green supply chains-the effects of additive and traditional manufacturing. J Clean Prod 282:124554 Rinaldi M, Caterino M, Fera M, Manco P, Macchiaroli R (2021) Technology selection in green supply chains-the effects of additive and traditional manufacturing. J Clean Prod 282:124554
go back to reference Rocha CS, Antunes P, Partidário P (2019) Design for sustainability models: A multiperspective review. J Clean Prod 234:1428–1445CrossRef Rocha CS, Antunes P, Partidário P (2019) Design for sustainability models: A multiperspective review. J Clean Prod 234:1428–1445CrossRef
go back to reference Rodríguez JC, Aguirre MG (2013) System dynamics modeling and the study of technological change. Cimexus 7(2):13–28 Rodríguez JC, Aguirre MG (2013) System dynamics modeling and the study of technological change. Cimexus 7(2):13–28
go back to reference Seidel C, Schätz R (2019) Continuing Education and Part-Time Training on Additive Manufacturing for People in Employment—an Approach Focused on Content-Related and Didactical Excellence. In Additive Manufacturing–Developments in Training and Education, Springer, Cham, pp 15–33 Seidel C, Schätz R (2019) Continuing Education and Part-Time Training on Additive Manufacturing for People in Employment—an Approach Focused on Content-Related and Didactical Excellence. In Additive Manufacturing–Developments in Training and Education, Springer, Cham, pp 15–33
go back to reference Sharma F, Dixit US (2019) Fuzzy set based cost model of additive manufacturing with specific example of selective laser sintering. J Mech Sci Technol 33(9):4439–4449CrossRef Sharma F, Dixit US (2019) Fuzzy set based cost model of additive manufacturing with specific example of selective laser sintering. J Mech Sci Technol 33(9):4439–4449CrossRef
go back to reference Sharma A, Jamwal A, Agrawal R, Jain JK (2020) Indicators to Sustainable Supply Chain Management in Indian Additive Manufacturing Industries. In Proceedings of National Conference on Recent Advancement in Engineering, Udaipur Sharma A, Jamwal A, Agrawal R, Jain JK (2020) Indicators to Sustainable Supply Chain Management in Indian Additive Manufacturing Industries. In Proceedings of National Conference on Recent Advancement in Engineering, Udaipur
go back to reference Šlaus I, Jacobs G (2011) Human capital and sustainability. Sustainability 3(1):97–154CrossRef Šlaus I, Jacobs G (2011) Human capital and sustainability. Sustainability 3(1):97–154CrossRef
go back to reference Son D, Kim S, Jeong B (2021) Sustainable part consolidation model for customized products in closed-loop supply chain with additive manufacturing hub. Additive Manuf 37:101643 Son D, Kim S, Jeong B (2021) Sustainable part consolidation model for customized products in closed-loop supply chain with additive manufacturing hub. Additive Manuf 37:101643
go back to reference Sterman JD (2000) Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill, Boston Sterman JD (2000) Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill, Boston
go back to reference Sterman J, Oliva R, Linderman KW, Bendoly E (2015) System dynamics perspectives and modeling opportunities for research in operations management. J Oper Manag 39:40 Sterman J, Oliva R, Linderman KW, Bendoly E (2015) System dynamics perspectives and modeling opportunities for research in operations management. J Oper Manag 39:40
go back to reference Taddese G, Durieux S, Duc E (2020) Sustainability performance indicators for additive manufacturing: A literature review based on product life cycle studies. Int J Adv Manuf Technol 107(7):3109–3134CrossRef Taddese G, Durieux S, Duc E (2020) Sustainability performance indicators for additive manufacturing: A literature review based on product life cycle studies. Int J Adv Manuf Technol 107(7):3109–3134CrossRef
go back to reference Tajbakhsh A, Hassini E (2015) Performance measurement of sustainable supply chains: a review and research questions. Int J Prod Perform Manage Tajbakhsh A, Hassini E (2015) Performance measurement of sustainable supply chains: a review and research questions. Int J Prod Perform Manage
go back to reference Tavassoli S, Brandt M, Qian M, Arenius P, Kianian B, Diegel O, Pope L (2020) Adoption and diffusion of disruptive technologies: The case of additive manufacturing in medical technology industry in Australia. Procedia Manuf 43:18–24CrossRef Tavassoli S, Brandt M, Qian M, Arenius P, Kianian B, Diegel O, Pope L (2020) Adoption and diffusion of disruptive technologies: The case of additive manufacturing in medical technology industry in Australia. Procedia Manuf 43:18–24CrossRef
go back to reference Thomas-Seale LE, Kirkman-Brown JC, Attallah MM, Espino DM, Shepherd DE (2018) The barriers to the progression of additive manufacture: Perspectives from UK industry. Int J Prod Econ 198:104–118CrossRef Thomas-Seale LE, Kirkman-Brown JC, Attallah MM, Espino DM, Shepherd DE (2018) The barriers to the progression of additive manufacture: Perspectives from UK industry. Int J Prod Econ 198:104–118CrossRef
go back to reference Vinodh S, Sundararaj G, Devadasan SR, Kuttalingam D, Rajanayagam D (2009) Agility through rapid prototyping technology in a manufacturing environment using a 3D printer. J Manuf Technol Manag 20(7):1023–1041CrossRef Vinodh S, Sundararaj G, Devadasan SR, Kuttalingam D, Rajanayagam D (2009) Agility through rapid prototyping technology in a manufacturing environment using a 3D printer. J Manuf Technol Manag 20(7):1023–1041CrossRef
go back to reference Weller C, Kleer R, Piller FT (2015) Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited. Int J Prod Econ 164:43–56CrossRef Weller C, Kleer R, Piller FT (2015) Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited. Int J Prod Econ 164:43–56CrossRef
go back to reference Wright L, Fulton L (2005) Climate change mitigation and transport in developing nations. Transp Rev 25(6):691–717CrossRef Wright L, Fulton L (2005) Climate change mitigation and transport in developing nations. Transp Rev 25(6):691–717CrossRef
go back to reference Wu DD, Kefan X, Hua L, Shi Z, Olson DL (2010) Modeling technological innovation risks of an entrepreneurial team using system dynamics: An agent-based perspective. Technol Forecast Soc Chang 77(6):857–869CrossRef Wu DD, Kefan X, Hua L, Shi Z, Olson DL (2010) Modeling technological innovation risks of an entrepreneurial team using system dynamics: An agent-based perspective. Technol Forecast Soc Chang 77(6):857–869CrossRef
go back to reference Yadav G, Kumar A, Luthra S, Garza-Reyes JA, Kumar V, Batista L (2020) A framework to achieve sustainability in manufacturing organizations of developing economies using industry 4.0 technologies’ enablers. Comput Ind 122:103280 Yadav G, Kumar A, Luthra S, Garza-Reyes JA, Kumar V, Batista L (2020) A framework to achieve sustainability in manufacturing organizations of developing economies using industry 4.0 technologies’ enablers. Comput Ind 122:103280
go back to reference Yang S, Tang Y, Zhao YF (2015) A new part consolidation method to embrace the design freedom of additive manufacturing. J Manuf Process 20:444–449CrossRef Yang S, Tang Y, Zhao YF (2015) A new part consolidation method to embrace the design freedom of additive manufacturing. J Manuf Process 20:444–449CrossRef
go back to reference Yang S, Zhao YF (2018) Additive manufacturing-enabled part count reduction: A lifecycle perspective. J Mech Des 140(3):1–12CrossRef Yang S, Zhao YF (2018) Additive manufacturing-enabled part count reduction: A lifecycle perspective. J Mech Des 140(3):1–12CrossRef
go back to reference Yang S, Page T, Zhang Y, Zhao YF (2020) Towards an automated decision support system for the identification of additive manufacturing part candidates. J Intell Manuf 1–17 Yang S, Page T, Zhang Y, Zhao YF (2020) Towards an automated decision support system for the identification of additive manufacturing part candidates. J Intell Manuf 1–17
go back to reference Yang Y, Li L (2018) Cost modeling and analysis for Mask Image Projection Stereolithography additive manufacturing: Simultaneous production with mixed geometries. Int J Prod Econ 206:146–158CrossRef Yang Y, Li L (2018) Cost modeling and analysis for Mask Image Projection Stereolithography additive manufacturing: Simultaneous production with mixed geometries. Int J Prod Econ 206:146–158CrossRef
go back to reference Yılmaz ÖF (2020) Examining additive manufacturing in supply chain context through an optimization model. Comput Ind Eng 142(106335):1–23 Yılmaz ÖF (2020) Examining additive manufacturing in supply chain context through an optimization model. Comput Ind Eng 142(106335):1–23
go back to reference Zhang H, Calvo-Amodio J, Haapala KR (2013) A conceptual model for assisting sustainable manufacturing through system dynamics. J Manuf Syst 32(4):543–549CrossRef Zhang H, Calvo-Amodio J, Haapala KR (2013) A conceptual model for assisting sustainable manufacturing through system dynamics. J Manuf Syst 32(4):543–549CrossRef
go back to reference Zheng T, Ardolino M, Bacchetti A, Perona M, Zanardini M (2019) The impacts of Industry 4.0: A descriptive survey in the Italian manufacturing sector. J Manuf Technol Manage Zheng T, Ardolino M, Bacchetti A, Perona M, Zanardini M (2019) The impacts of Industry 4.0: A descriptive survey in the Italian manufacturing sector. J Manuf Technol Manage
Metadata
Title
Assessment the effect of rapid prototyping implementation on supply chain sustainability: a system dynamics approach
Authors
Nazanin Hosseini Arian
Alireza Pooya
Fariborz Rahimnia
Ali Sibevei
Publication date
13-11-2021
Publisher
Springer US
Published in
Operations Management Research / Issue 3-4/2021
Print ISSN: 1936-9735
Electronic ISSN: 1936-9743
DOI
https://doi.org/10.1007/s12063-021-00228-6

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