Skip to main content
Log in

A systematic review of design for X techniques from 1980 to 2018: concepts, applications, and perspectives

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Managing the new product development (NPD) is a challenging mission, and most researches would argue that design is fundamentally linked to intentional action and it cannot emerge out of complexity. In fact, its complexity is generated by a large number of entities and actors which cooperate simultaneously with an unpredictable way to understand what customers want and then design product with diverse objectives in mind. A slight change in one activity may cause tremors everywhere. Within a dynamic environment and in order to meet concurrently these challenges, several researchers have implemented design for X (DFX) techniques. Regarding the availability of numerous DFX, the decision as to which one to apply remains absent. Hence, the purpose of this paper is to present a comprehensive overview of the most prominent DFX techniques with respect to sustainability dimension as well as the cost ownership and product differentiation strategies. In addition to that, complex product necessitates the consideration of integrated DFX to optimize product life cycle from a more holistic perspective. In this respect, the paper addresses a systematic review from 1980 to 2018 by investigating and discussing the past and current research of each DFX techniques as well as for integrated ones. The key problems and issues that future DFX research should address have been identified and discussed in this paper.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Khavekar R, Vasudevan H, Deshpande G (2018) Application of Shainin methodology to reduce rejections in spur gear manufacturing. Materialstoday: Proceedings 5(5):12003–12008

  2. Boothroyd G, Dewhurst P (1988) Product design for manufacture and assembly. Manuf Eng 100(4):42–46

    Google Scholar 

  3. Huang GQ, Mak KL (1998) The DFX shell: a generic framework for developing design for X tools. Robot Comput Integr Manuf 13(3):271–280

    Google Scholar 

  4. Porter ME (1998) Competing across locations: Enhancing competitive advantage through a global strategy. In Porter, M. (ed.), On Competition, Harvard Business School: Boston, Massachusetts

  5. Chiu MC, Okudan GE (2010) Evolution of design for X tools applicable to design stages: a literature review. In: International design engineering technical conferences and computers and information in engineering conference. Montreal ASME 2010, pp 171–182

  6. Lehto J, Harkonen J, Haapasalo H, Belt P, Mottonen M, Kuvaja P (2011) Benefits of DfX in requirements engineering. Technol Invest 2(01):27

    Google Scholar 

  7. Radziwill NM, Benton MC (2017) Design for X (DfX) in the Internet of Things (IoT). arXiv preprint arXiv:1707.06208

  8. Bras B, Hammond R (1996) Towards design for remanufacturing—metrics for assessing remanufacturability. In: Proceedings of the 1st International Workshop on Reuse, Eindhoven, The Netherlands, pp 5–22

  9. Subramoniam R, Huisingh D, Chinnam RB (2009) Remanufacturing for the automotive aftermarket-strategic factors: literature review and future research needs. J Clean Prod 17(13):1163–1174

    Google Scholar 

  10. Hatcher GD, Ijomah WL, Windmill JFC (2011) Design for remanufacture: a literature review and future research needs. J Clean Prod 19(17–18):2004–2014

    Google Scholar 

  11. Kjellén U, Sklet S (1995) Integrating analyses of the risk of occupational accidents into the design process part I: a review of types of acceptance criteria and risk analysis methods. Saf Sci 18(3):215–227

    Google Scholar 

  12. Fadier E, Ciccotelli J (1999) How to integrate safety in design: methods and models. Hum Factors Ergon Manuf Serv Ind 9(4):367–379

    Google Scholar 

  13. Sklet S (2006) Safety barriers: definition, classification, and performance. J Loss Prev Process Ind 19(5):494–506

    Google Scholar 

  14. Hale A, Borys D (2013) Working to rule, or working safely? Part 1: a state of the art review. Saf Sci 55:207–221

    Google Scholar 

  15. De Sousa Queiroz F, de Farias Rodrigues MML, Junior GAC, de Barros Oliveira A, De Oliveira JD, De Almeida ER (2014) Avaliação das condições de saúde bucal de Portadores de Necessidades Especiais. Rev Odontol UNESP 43(6):396–401

    Google Scholar 

  16. Sadeghi L, Dantan JY, Siadat A, Marsot J (2016) Design for human safety in manufacturing systems: applications of design theories, methodologies, tools and techniques. J Eng Des 27(12):844–877

    Google Scholar 

  17. Jawahir IS, Dillon OW (2007) Sustainable Manufacturing Processes: New challenges for developing predictive models and optimization techniques. First International Conference on Sustainable Manufacturing. Montreal, Canada

  18. Howarth G, Hadfield M (2006) A sustainable product design model. Mater Des 27(10):1128–1133

    Google Scholar 

  19. Arnette AN, Brewer BL, Choal T (2014) Design for sustainability (DFS): the intersection of supply chain and environment. J Clean Prod 83:374–390

    Google Scholar 

  20. Mayyas A, Qattawi A, Omar M, Shan D (2012) Design for sustainability in automotive industry: a comprehensive review. Renew Sust Energ Rev 16(4):1845–1862

    Google Scholar 

  21. Tian J, Chen M (2014) Sustainable design for automotive products: dismantling and recycling of end-of-life vehicles. Waste Manag 34(2):458–467

    Google Scholar 

  22. Stylidis D, Shani A, Belhassen Y (2017) Testing an integrated destination image model across residents and tourists. Tour Manag 58:184–195

    Google Scholar 

  23. Newbert SL (2007) Empirical research on the resource-based view of the firm: an assessment and suggestions for future research. Strateg Manag J 28(2):121–146

    Google Scholar 

  24. Everhart TE, Thornley RFM (1960) Wide-band detector for micro-microampere low-energy electron currents. J Sci Instrum 37(7):246

    Google Scholar 

  25. Pech JC, Bonneau G, Fallot J (1973) Purification partielle et proprietes des amylases de la poire. Phytochemistry 12(2):299–305

    Google Scholar 

  26. Ziemke MC, Spann MS (1991) Warning-DONT be half-hearted in your efforts to employ concurrent engineering. Ind Eng 23(2):45–49

    Google Scholar 

  27. Benabdellah AC, Bouhaddou I, Benghabrit A (2019) Towards a more strategic product design method across the product lifecycle: Case of the automotive industry. Research in Engineering Design (To appear)

  28. Lee HL, Billington C (1992) Managing supply chain inventory: pitfalls and opportunities. Sloan Manag Rev 33(3):65

    Google Scholar 

  29. Gollnick CD, Luse RE, Pavek JG, Sojka ML, Cnossen JD, Danielson AD, ..., Young ADUS (2009) Patent No. 7,558,557. Washington, DC: U.S. Patent and Trademark Office

  30. Weber NO (1994) Aircraft design takes off with DFMA. Assembly-Radnor 37(8):26–29

    MathSciNet  Google Scholar 

  31. Suh NP (1990) The Principles of Design. Oxford University Press, New York

  32. Tsai TC, Liu SB, Wang I (1999) Disproportionation and transalkylation of alkylbenzenes over zeolite catalysts. Appl Catal A Gen 181(2):355–398

    Google Scholar 

  33. Boothroyd G, Radovanovic P (1989) Estimating the cost of machined components during the conceptual design of a product. CIRP Ann Manuf Technol 38(1):157–160

    Google Scholar 

  34. Dewhurst P, Blum C (1989) Supporting analyses for the economic assessment of diecasting in product design. CIRP Ann Manuf Technol 38(1):161–164

    Google Scholar 

  35. Zenger D, Dewhurst P (1988) Early assessment of tooling costs in the design of sheet metal parts. In: Report 29. Dep. Industrial & Manufacturing Engineering, University of Rhode Island, USA

    Google Scholar 

  36. Yamaguchi S, Knight RT (1991) Age effects on the P300 to novel somatosensory stimuli. Electroencephalogr Clin Neurophysiol 78(4):297–301

    Google Scholar 

  37. Salonitis K (2014) Modular design for increasing assembly automation. CIRP Ann Manuf Technol 63(1):189–192

    Google Scholar 

  38. Benkamoun N, ElMaraghy W, Huyet AL, Kouiss K (2014) Architecture framework for manufacturing system design. Procedia CIRP 17:88–93

    Google Scholar 

  39. Thompson MK, Jespersen IKJ, Kjærgaard T (2018) Design for manufacturing and assembly key performance indicators to support high-speed product development. Procedia CIRP 70(1):114–119

    Google Scholar 

  40. Fazio RH, Towles-Schwen T (1999) The MODE model of attitude-behavior processes. Dual-process theories in. Soc Psychol:97–116

  41. Bukchin J, Masin M (2004) Multi-objective design of team oriented assembly systems. Eur J Oper Res 156(2):326–352

    MATH  Google Scholar 

  42. Lin L, Wang Y, Al-Shemmeri T, Ruxton T, Turner S, Zeng S, Huang X (2007) An experimental investigation of a household size trigeneration. Appl Therm Eng 27(2–3):576–585

    Google Scholar 

  43. Wang M, Favi P, Cheng X, Golshan NH, Ziemer KS, Keidar M, Webster TJ (2016) Cold atmospheric plasma (CAP) surface nanomodified 3D printed polylactic acid (PLA) scaffolds for bone regeneration. Acta Biomater 46:256–265

    Google Scholar 

  44. Kenna MA, Stool SE, Mallory SB (1986) Junctional epidermolysis bullosa of the larynx. Pediatrics 78(1):172–174

    Google Scholar 

  45. Fabricius M, Lauritzen M (1996) Laser-Doppler evaluation of rat brain microcirculation: comparison with the [14C]-iodoantipyrine method suggests discordance during cerebral blood flow increases. J Cereb Blood Flow Metab 16(1):156–161

    Google Scholar 

  46. Nee AY, Ong SK, Chryssolouris G, Mourtzis D (2012) Augmented reality applications in design and manufacturing. CIRP Ann Manuf Technol 61(2):657–679

    Google Scholar 

  47. Oh Y, Zhou C, Behdad S (2018) Part decomposition and assembly-based (Re) design for additive manufacturing: a review. Addit Manuf 22:230–242

  48. Gonçalves-Coelho AM, Mourao AJ (2007) Axiomatic design as support for decision-making in a design for manufacturing context: a case study. Int J Prod Econ 109(1–2):81–89

    Google Scholar 

  49. Holzner P, Rauch E, Spena PR, Matt DT (2015) Systematic design of SME manufacturing and assembly systems based on axiomatic design. Procedia CIRP 34(1):81–86

    Google Scholar 

  50. Xiao T, Qi X (2008) Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers. Omega 36(5):741–753

    Google Scholar 

  51. Holt R, Barnes C (2010) Towards an integrated approach to “Design for X”: an agenda for decision-based DFX research. Res Eng Des 21(2):123–136

    Google Scholar 

  52. Lehmhus D, Wuest T, Wellsandt S, Bosse S, Kaihara T, Thoben KD, Busse M (2015) Cloud-based automated design and additive manufacturing: a usage data-enabled paradigm shift. Sensors 15(12):32079–32122

    Google Scholar 

  53. Unglert J, Hoekstra S, Jauregui-Becker J, van Houten F (2016) Towards decision-support for reconfigurable manufacturing systems based on computational design synthesis. Procedia CIRP 41:153–158

    Google Scholar 

  54. Matt DT, Rauch E (2017) Designing assembly lines for mass customization production systems. In: Modrak V (ed) Mass customized manufacturing: theoretical concepts and practical approaches, 1st edn Routledge, New York, pp 15–36

  55. Mao Y, Zhang J, Letaief KB (2015) A Lyapunov optimization approach for green cellular networks with hybrid energy supplies. IEEE J Sel Areas Commun 33(12):2463–2477

    Google Scholar 

  56. Boothroyd G, Dewhurst P, Knight W (1994) Product design for manufacture and assembly. Marcel Dekker, New York

  57. Fan Y, Zhao D, Zhang L, Huang S, Liu B (2003) Manufacturing grid: needs, concept, and architecture. In: International conference on grid and cooperative computing. Springer, Berlin, pp 653–656

    Google Scholar 

  58. Lin C, Baines TS, O’Kane J, Link D (1998) A generic methodology that aids the application of system dynamics to manufacturing system modeling. In: Proceedings of the International Conference on Simulation, pp 344–349

  59. Wiesenfeld K, Moss F (1995) Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs. Nature 373(6509):33

    Google Scholar 

  60. Redmond P, Evans P, Ireson J, Wedell K (1988) Comparing the curriculum development process in special (MLD) schools: a systematic qualitative approach. Eur J Spec Needs Educ 3(3):147–160

  61. Tsui WM, Colombari R, Portmann BC, Bonetti F, Thung SN, Ferrell LD et al (1999) Hepatic angiomyolipoma: a clinicopathologic study of 30 cases and delineation of unusual morphologic variants. Am J Surg Pathol 23(1):34–48

    Google Scholar 

  62. Clatworthy SD (2011) Service Innovation Through Touch-points: Development of an Innovation Toolkit for the First Stages of New Service Development. Intl J Des 5(2):15–28

  63. Yu E, Sangiorgi D (2014) Service Design as an approach to New Service Development: reflections and future studies. In Proceedings of the Service Design and Innovation Conference 2014, pp 194–204

  64. Secomandi F, Snelders D (2011) The object of service design. Des Issues 27(3):20–34

    Google Scholar 

  65. Holmlid S, Evenson S (2007) Prototyping and enacting services: Lessons learned from humancentered methods. In: Proceedings from the 10th Quality in Services Conference, QUIS 2007, vol. 10

  66. Holmlid S (2007) Interaction Design and Service Design: Expanding a Comparison of Design Disciplines. Design Inquiries Linköping, Sweden: Human-Centered Systems, Linköpings Universitet

  67. Martinetz TM, Berkovich SG, Schulten KJ (1993) “Neural-gas” network for vector quantization and its application to time-series prediction. IEEE Trans Neural Netw 4(4):558–569

    Google Scholar 

  68. Fields S, Song OK (1989) A novel genetic system to detect protein–protein interactions. Nature 340(6230):245

    Google Scholar 

  69. Carreira R, Patrício L, Jorge RN, Magee CL (2013) Development of an extended Kansei engineering method to incorporate experience requirements in product–service system design. J Eng Des 24(10):738–764

    Google Scholar 

  70. Kimura M (1980) A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16(2):111–120

    Google Scholar 

  71. Schotman H, Ludden GDS (2014) User acceptance in a changing context: why some product-service systems do not suffer acceptance problems. J Des Res 12(3):188–203

    Google Scholar 

  72. Rexfelt O, Hiort af Ornäs V (2009) Consumer acceptance of product-service systems: designing for relative advantages and uncertainty reductions. J Manuf Technol Manag 20(5):674–699

    Google Scholar 

  73. Van Den Hoogen F, Khanna D, Fransen J, Johnson SR, Baron M, Tyndall A, Riemekasten G (2013) 2013 classification criteria for systemic sclerosis: an American College of Rheumatology/European league against rheumatism collaborative initiative. Arthritis Rheum 65(11):2737–2747

    Google Scholar 

  74. Aurich JC, Mannweiler C, Schweitzer E (2010) How to design and offer services successfully. CIRP J Manuf Sci Technol 2(3):136–143

    Google Scholar 

  75. Michelini RC, Razzoli RP (2004) Product-service eco-design: knowledge-based infrastructures. J Clean Prod 12(4):415–428

    Google Scholar 

  76. Pena EH, Carvalho LF, Barbon S Jr, Rodrigues JJ, Proença ML Jr (2017) Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment. Inf Sci 420:313–328

    Google Scholar 

  77. Baek JS, Kim S, Pahk Y, Manzini E (2018) A sociotechnical framework for the design of collaborative services. Des Stud 55:54–78

    Google Scholar 

  78. Zheng P, Lin TJ, Chen CH, Xu X (2018) A systematic design approach for service innovation of smart product-service systems. J Clean Prod 201:657–667

    Google Scholar 

  79. Bianchi G (2000) Performance analysis of the IEEE 802.11 distributed coordination function. IEEE J Sel Areas Commun 18(3):535–547

    Google Scholar 

  80. Afshar M, Wang D (2011) Systems thinking for designing sustainable product service systems: a case study using a system dynamics approach. Des Princ Pract 4:259–274

  81. Alexander G, Allison J, Allport PP, Anderson KJ, Arcelli S, Armitage JC, Bahan GA (1991) Measurement of theZ0 line shape parameters and the electroweak couplings of charged leptons. Z Phys C: Part Fields 52(2):175–207

    Google Scholar 

  82. Johansson R, Andersson G, Ebmeier S, Kessler C, Cuijpers (2012) Internet-based psychological treatments for depression. Expert Rev Neurother 12(7):861–870

    Google Scholar 

  83. Baxter Jr JF (2000) U.S. patent no. 6,023,223. Washington, DC: U.S. Patent and Trademark Office

  84. Zhang H, Wang X, You M, Liu C (1999) Water-yield relations and water-use efficiency of winter wheat in the North China plain. Irrig Sci 19(1):37–45

    Google Scholar 

  85. Brown HD, Lee H (1994) Teaching by principles: An interactive approach to language pedagogy (Vol. 1). Prentice Hall Regents, Englewood Cliffs, p 994

    Google Scholar 

  86. Hu LT, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J 6(1):1–55

    Google Scholar 

  87. Wang X, Xing G, Zhang Y, Lu C, Pless R, Gill C (2003, November) Integrated coverage and connectivity configuration in wireless sensor networks. In Proceedings of the 1st international conference on Embedded networked sensor systems (pp. 28-39). ACM

  88. Sangiorgi D, Junginger S (2015) Emerging issues in service design. Des J 18(2):165–170

  89. Arntzen BC, Brown GG, Harrison TP, Trafton LL (1995) Global supply chain management at digital equipment corporation. Interfaces 25(1):69–93

    Google Scholar 

  90. Sharifi H, Ismail HS, Reid I (2006) Achieving agility in supply chain through simultaneous “design of” and “design for” supply chain. J Manuf Technol Manag 17(8):1078–1098

    Google Scholar 

  91. Jindal A, Sangwan KS (2016) A fuzzy based decision support framework for product recovery process selection in reverse logistics. Int J Serv Oper Manag 25(4):413–439. https://doi.org/10.1504/IJSOM.2016.10000346

  92. Tan KC, Kannan VR, Handfield RB, Ghosh S (1999) Supply chain management: an empirical study of its impact on performance. Int J Oper Prod Manag 19(10):1034–1052

    Google Scholar 

  93. Petersen FT, Meier R, Larsen MN (2003) Testing species richness estimation methods using museum label data on the Danish Asilidae. Biodivers Conserv 12(4):687–701

    Google Scholar 

  94. Droge C, Vickery SK, Jacobs MA (2012) Does supply chain integration mediate the relationships between product/process strategy and service performance? An empirical study. Int J Prod Econ 137(2):250–262

    Google Scholar 

  95. Ginhoux F, Greter M, Leboeuf M, Nandi S, See P et al (2010) Fate mapping analysis reveals that adult microglia derive from primitive macrophages. Science 330:841–845

  96. Brewer W H (1966) Up and Down California in 1860–1864. Yale University Press, New Haven. Available in a third edition. Ed F P Farquhar. University of California Press, Berkeley

  97. Lee HL, Sasser MM (1995) Product universality and design for supply chain management. Prod Plan Control 6(3):270–277

    Google Scholar 

  98. Graves SC, Willems SP (2005) Optimizing the supply chain configuration for new products. Manag Sci 51(8):1165–1180

    MATH  Google Scholar 

  99. Sharifi H, Ismail HS, Reid I (2006) Achieving agility in supply chain through simultaneous “design of” and “design for” supply chain. J Manuf Technol Manag 17(8):1078–1098

    Google Scholar 

  100. Smith PB Bond MH (1998) Social Psychology across Cultures (2nd edn), Allyn & Bacon: Boston, MA

  101. Chen W, Kucukyazici B, Verter V, Sáenz MJ (2015) Supply chain design for unlocking the value of remanufacturing under uncertainty. Eur J Oper Res 247(3):804–819

    MathSciNet  MATH  Google Scholar 

  102. Spengler T, Püchert H, Penkuhn T, Rentz O (1997) Environmental integrated production and recycling management. In: Produktion und umwelt. Springer, Berlin, pp 239–257

    Google Scholar 

  103. Al-Qeisi K, Dennis C, Alamanos E, Jayawardhena C (2014) Website design quality and usage behavior: unified theory of acceptance and use of technology. J Bus Res 67(11):2282–2290

    Google Scholar 

  104. Aras N, Aksen D (2008) Locating collection centers for distance-and incentive-dependent returns. Int J Prod Econ 111(2):316–333

    MATH  Google Scholar 

  105. Luthra S, Kumar V, Kumar S, Haleem A (2011) Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique – an Indian perspective. J Ind Eng Manag 4(2):231–257

  106. Bloemhof-Ruwaard JM, Van Wassenhove LN, Gabel HL, Weaver PM (1996) An environmental life cycle optimization model for the European pulp and paper industry. Omega 24(6):615–629

    Google Scholar 

  107. Kannan G, Haq AN, Sasikumar P, Arunachalam S (2008) Analysis and selection of green suppliers using interpretative structural modelling and analytic hierarchy process. Int J Manag Decis Mak 9(2):163–182

    Google Scholar 

  108. Dowlatshahi S (2000) Developing a theory of reverse logistics. Interfaces 30(3):143–155

    Google Scholar 

  109. Wojanowski R, Verter V, Boyaci T (2007) Retail–collection network design under deposit–refund. Comput Oper Res 34(2):324–345

    MATH  Google Scholar 

  110. Ferguson N, Browne J (2001) Issues in end-of-life product recovery and reverse logistics. Prod Plan Control 12(5):534–547

    Google Scholar 

  111. Guide VDR Jr (2000) Production planning and control for remanufacturing: industry practice and research needs. J Oper Manag 18(4):467–483

    Google Scholar 

  112. Zhu W, He Y (2017) Green product design in supply chains under competition. Eur J Oper Res 258(1):165–180

    MathSciNet  MATH  Google Scholar 

  113. Das K (2018) Integrating lean systems in the design of a sustainable supply chain model. Int J Prod Econ 198:177–190

    Google Scholar 

  114. Crow DR (1988) Principles and Applications of Electrochemistry, 3rd ed., Chapman and Hall, London. Dayton, M. A., Brown, J. C., Stutts, K. J., and Wightman, R. M., 1980, Faradaic electrochemistry at microvoltammetric electrodes. Anal Chem 52:946–950

  115. Taguchi G (1993) Taguchi on robust technology development: Bringing quality engineering upstream. New York: ASME Press

  116. Koch AE, Polverini PJ, Kunkel SL, Harlow LA, DiPietro LA, Elner VM et al (1992) Interleukin-8 as a macrophage-derived mediator of angiogenesis. Science 258(5089):1798–1801

    Google Scholar 

  117. Savage B, Saldívar E, Ruggeri ZM (1996) Initiation of platelet adhesion by arrest onto fibrinogen or translocation on von Willebrand factor. Cell 84(2):289–297

    Google Scholar 

  118. Kaymaz I, McMahon CA (2005) A response surface method based on weighted regression for structural reliability analysis. Probab Eng Mech 20(1):11–17

    Google Scholar 

  119. Hubert C, Lebrun P, Houari S, Ziemons E, Rozet E, Hubert P (2014) Improvement of a stability-indicating method by quality-by-design versus quality-by-testing: a case of a learning process. J Pharm Biomed Anal 88:401–409

    Google Scholar 

  120. Mukhopadhyay SK, Setaputra R (2007) A dynamic model for optimal design quality and return policies. Eur J Oper Res 180(3):1144–1154

    MATH  Google Scholar 

  121. Khan RA, Mustafa K, Ahson SI (2007) An empirical validation of object oriented design quality metrics. Comput inform sci 19:1–16

  122. Ovaska E, Evesti A, Henttonen K, Palviainen M, Aho P (2010) Knowledge based quality-driven architecture design and evaluation. Inf Softw Technol 52(6):577–601

    Google Scholar 

  123. Strug B (2013) Automatic design quality evaluation using graph similarity measures. Autom Constr 32:187–195

    Google Scholar 

  124. Zairi M (1992) The art of benchmarking: using customer feedback to establish a performance gap. Total Qual Manag 3(2):177–188

    Google Scholar 

  125. Neumann WP, Kolus A, Wells RW (2016) Human factors in production system design and quality performance–a systematic review. IFAC-PapersOnLine 49(12):1721–1724

    Google Scholar 

  126. Das TK, Teng BS (2000) A resource-based theory of strategic alliances. J Manag 26(1):31–61

    Google Scholar 

  127. Swink ML, Calantone R (2004) Design-manufacturing integration as a mediator of antecedents to new product design quality. IEEE Trans Eng Manag 51(4):472–482

    Google Scholar 

  128. Nada OA, ElMaraghy HA, ElMaraghy WH (2006) Quality prediction in manufacturing system design. J Manuf Syst 25(3):153

    Google Scholar 

  129. Freiesleben J (2010) Proposing a new approach to discussing economic effects of design quality. Int J Prod Econ 124(2):348–359

    Google Scholar 

  130. Gu W, Chhajed D, Petruzzi NC, Yalabik B (2015) Quality design and environmental implications of green consumerism in remanufacturing. Int J Prod Econ 162:55–69

    Google Scholar 

  131. Hlatky MA, Boothroyd D, Vittinghoff E, Sharp P, Whooley MA, HERS Research Group (2002) Quality-of-life and depressive symptoms in postmenopausal women after receiving hormone therapy: results from the heart and estrogen/progestin replacement study (HERS) trial. Jama 287(5):591–597

    Google Scholar 

  132. Salmon PM, Read GJ, Stanton NA, Lenné MG (2013) The crash at Kerang: investigating systemic and psychological factors leading to unintentional non-compliance at rail level crossings. Accid Anal Prev 50:1278–1288

    Google Scholar 

  133. Amodei D, Ananthanarayanan S, Anubhai R, Bai J, Battenberg E, Case C, Chen J (2016) Deep speech 2: end-to-end speech recognition in english and mandarin. In International Conference on Machine Learning, pp 173–182

  134. Czinkota MR, Ronkainen IA (1998) International Marketing, 5th edition. The Dryden Press

  135. Citron DK (2014) Hate crimes in cyberspace. Cambridge, MA: Harvard University Press

  136. Rausand M, Utne IB (2009) Product safety–principles and practices in a life cycle perspective. Saf Sci 47(7):939–947

    Google Scholar 

  137. Sadeghi L, Mathieu L, Tricot N, Al Bassit L (2015) Developing a safety indicator to measure the safety level during design for safety. Saf Sci 80:252–263

    Google Scholar 

  138. Ghemraoui R, Mathieu L, Tricot N (2009) Systematic human-safety analysis approach based on axiomatic design principles. In: Fifth International Conference on Axiomatic Design Caparica, pp 1–9

  139. Ghemraoui R, Mathieu L, Tricot N (2009a) Design method for systematic safety integration. CIRP Ann 58(1):161–164

    Google Scholar 

  140. Pahl G, Beitz W (1994) Engineering Design. Springer

  141. Hale AR, Stoop J, Hommels J (1990) Human error models as predictors of accident scenarios for designers in road transport systems. Ergonomics 33(10–11):1377–1387

    Google Scholar 

  142. Tarrants WE (1980) The Measurement of Safety Performance. Garland STPM, New York

  143. Harms-Ringdahl L (2009) Analysis of safety functions and barriers in accidents. Saf Sci 47(3):353–363

    Google Scholar 

  144. Fallah YP, Huang CL, Sengupta R, Krishnan H (2011) Analysis of information dissemination in vehicular ad-hoc networks with application to cooperative vehicle safety systems. IEEE Trans Veh Technol 60(1):233–247

    Google Scholar 

  145. Schein EH (1993a) How can organizations learn faster? The challenge of entering the green room. Sloan Manage. Rev 34:85–92

  146. Jin L, Chen J, Zhang B, Deng W, Zhang L, Zhang H, Wang ZL (2016) Self-powered safety helmet based on hybridized nanogenerator for emergency. ACS Nano 10(8):7874–7881

    Google Scholar 

  147. Marsot J, Claudon L (2004) Design and ergonomics. Methods for integrating ergonomics at hand tool design stage. Int J Occup Saf Ergon 10(1):13–23

    Google Scholar 

  148. Houssin R, Coulibaly A (2011) An approach to solve contradiction problems for the safety integration in innovative design process. Comput Ind 62(4):398–406

    Google Scholar 

  149. Village J, Greig M, Neumann P (2011) Adapting the Failure Modes Effect Analysis (fmea) for Early Detection of Human Factors Concerns. The 42nd Annual Conference of the Association of Canadian Ergonomists, Ontario, London

  150. Sun H, Houssin R, Gardoni M, de Bauvrond F (2013) Integration of user behaviour and product behaviour during the design phase: software for behavioural design approach. Int J Ind Ergon 43(1):100–114

    Google Scholar 

  151. Begg AC, Haustermans K, Hart AA, Dische S, Saunders M, Zackrisson B, Overgaard J (1999) The value of pretreatment cell kinetic parameters as predictors for radiotherapy outcome in head and neck cancer: a multicenter analysis. Radiother Oncol 50(1):13–23

    Google Scholar 

  152. Cicardi M, Aberer W, Banerji A, Bas M, Bernstein JA, Bork K, Riedl MA (2014) Classification, diagnosis, and approach to treatment for angioedema: consensus report from the H ereditary a ngioedema I nternational W orking G roup. Allergy 69(5):602–616

    Google Scholar 

  153. Harjula T, Rapoza B, Knight WA, Boothroyd G (1996) Design for disassembly and the environment. CIRP Ann Manuf Technol 45(1):109–114

    Google Scholar 

  154. Kriwet K, Müller-Goymann CC (1995) Diclofenac release from phospholipid drug systems and permeation through excised human stratum corneum. Int J Pharm 125(2):231–242

    Google Scholar 

  155. Rofstad EK, Gaustad JV, Egeland TA, Mathiesen B, Galappathi K (2010) Tumors exposed to acute cyclic hypoxic stress show enhanced angiogenesis, perfusion and metastatic dissemination. Int J Cancer 127(7):1535–1546

    Google Scholar 

  156. Huisman JA, Hubbard SS, Redman JD, Annan AP (2003) Measuring soil water content with ground penetrating radar. Vadose Zone J 2(4):476–491

    Google Scholar 

  157. Bras B, Hammond R (1996) Towards design for remanufacturing—metrics for assessing remanufacturability. In: Proceedings of the 1st International Workshop on Reuse, Eindhoven, the Netherlands, pp 5–22

  158. Giutini R, Gaudette K (2003) Remanufacturing: the next great opportunity for boosting US productivity. Bus Horiz 46(6):41–48

    Google Scholar 

  159. Ijomah WL, McMahon CA, Hammond GP, Newman ST (2007) Development of design for remanufacturing guidelines to support sustainable manufacturing. Robot Comput Integr Manuf 23(6):712–719

    MATH  Google Scholar 

  160. Hatcher GD, Ijomah WL, Windmill JFC (2011) Design for remanufacture: a literature review and future research needs. J Clean Prod 19(17–18):2004–2014

    Google Scholar 

  161. Exterkate FA, Alting AC, Slangen CJ (1991) Specificity of two genetically related cell-envelope proteinases of Lactococcus lactis subsp. cremoris towards αs1-casein-(1–23)-fragment. Biochem J 273(1):135–139

    Google Scholar 

  162. Rose C, Smith MD (2002) MathStatica: mathematical statistics with mathematica. In: Compstat. Physica, Heidelberg, pp 437–442

    Google Scholar 

  163. Hein L, Ishii K, Coughlin SR, Kobilka BK (1994) Intracellular targeting and trafficking of thrombin receptors. A novel mechanism for resensitization of a G protein-coupled receptor. J Biol Chem 269(44):27719–27726

    Google Scholar 

  164. Allenby BR, Fullerton A (1991) Design for environment—a new strategy for environmental management. Pollut Prev Rev 2(1):51–61

  165. Liersch CM, Hepperle M (2011) A distributed toolbox for multidisciplinary preliminary aircraft design. CEAS Aeronaut J 2(1–4):57–68

    Google Scholar 

  166. Fiksel J, Wapman K (1994) How to design for environment and minimize life cycle cost. In: IEEE International Symposium on. Electronics and the Environment, San Francisco, CA, May

  167. Tuerlings JHAM, De France HF, Hamers A, Hordijk R, Van Hemel JO, Hansson K et al (1998) Chromosome studies in 1792 males prior to intra-cytoplasmic sperm injection: the Dutch experience. Eur J Hum Genet 6(3):194

    Google Scholar 

  168. Guenther A, Hewitt CN, Erickson D, Fall R, Geron C, Graedel T, Pierce T (1995) A global model of natural volatile organic compound emissions. J Geophys Res Atmos 100(D5):8873–8892

    Google Scholar 

  169. Cristofari M, Deshmukh A,Wang B (1996) Green quality function deployment. Proc of the 4th international conference on environmentally conscious design and manufacturing, Cleveland, 23–25 July 1996, pp 297–304

  170. Zhang H, Wang X, You M, Liu C (1999) Water-yield relations and water-use efficiency of winter wheat in the North China plain. Irrig Sci 19(1):37–45

    Google Scholar 

  171. Mehta C, Wang B (2001) Green quality function deployment III: a methodology for developing environmentally conscious products. J Des Manuf Autom 1(1–2):1–16

    Google Scholar 

  172. Madu CN, Madu AA (2002) Dimensions of e-quality. Int J Qual Reliab Manag 19(3):246–258

  173. Santos-Reyes DE, Lawlor-Wright T (2001) A design for the environment methodology to support an environmental management system. Integr Manuf Syst 12(5):323–332

    Google Scholar 

  174. Kuo TC, Wu HH, Shieh JI (2009) Integration of environmental considerations in quality function deployment by using fuzzy logic. Expert Syst Appl 36(3):7148–7156

    Google Scholar 

  175. Sakao T (2007) A QFD-centred design methodology for environmentally conscious product design. Int J Prod Res 45(18–19):4143–4162

    MATH  Google Scholar 

  176. Bovea MD, Wang B (2007) Redesign methodology for developing environmentally conscious products. Int J Prod Res 45(18–19):4057–4072

    MATH  Google Scholar 

  177. Lye SW, Lee SG, Khoo MK (2002) ECoDE–an environmental component design evaluation tool. Eng Comput 18(1):14–23

    MATH  Google Scholar 

  178. Veerakamolmal P, Gupta SM (2000) Design for disassembly, reuse and recycling. Environmentally responsible engineering. Butterworth-Heinemann, Oxford, pp 69–82

  179. Qian X, Zhang HC (2009) Design for environment: an environmentally conscious analysis model for modular design. IEEE Trans Electron Packag Manuf 32(3):164–175

    Google Scholar 

  180. Nallagatla SR, Hwang J, Toroney R, Zheng X, Cameron CE, Bevilacqua PC (2007) 5′-triphosphate-dependent activation of PKR by RNAs with short stem loops. Science 318(5855):1455–1458

    Google Scholar 

  181. Younesi M, Roghanian E (2015) A framework for sustainable product design: a hybrid fuzzy approach based on quality function deployment for environment. J Clean Prod 108:385–394

    Google Scholar 

  182. Mitra SK, Kuo Y (2006) Digital signal processing: a computer-based approach (Vol. 2). McGraw-Hill, New York

    Google Scholar 

  183. Li J, Zhang HC, Gonzalez MA, Yu S (2008) A multi-objective fuzzy graph approach for modular formulation considering end-of-life issues. Int J Prod Res 46(14):4011–4033

    MATH  Google Scholar 

  184. Blanchini F, Miani S (1999) A new class of universal Lyapunov functions for the control of uncertain linear systems. IEEE Trans Autom Control 44(3):641–647

    MathSciNet  MATH  Google Scholar 

  185. Knight W, Curtis M (2002) Measuring your ecodesign [end-of-life disassembly]. Manuf Eng 81(2):64–69

    Google Scholar 

  186. Hopkinson N, Hague R, Dickens P (eds) (2006) Rapid manufacturing: an industrial revolution for the digital age. Wiley, New Jersey

  187. Hashim HH, Denan Z (2015) Importance of preserving the natural environment in the design schools in Malaysia. Procedia Soc Behav Sci 170:177–186

    Google Scholar 

  188. Ghazilla RAR, Sakundarini N, Taha Z et al (2015) design for environment and design for disassembly practices in Malaysia: a practitioner’s perspectives. J Clean Prod 108:331–342

    Google Scholar 

  189. Mathieu J, Maynard MT, Rapp T, Gilson L (2008) Team effectiveness 1997-2007: a review of recent advancements and a glimpse into the future. J Manag 34(3):410–476

    Google Scholar 

  190. Park PJ, Tahara K (2008) Quantifying producer and consumer-based eco-efficiencies for the identification of key ecodesign issues. J Clean Prod 16(1):95–104

    Google Scholar 

  191. Mascle C, Zhao HP (2008) Integrating environmental consciousness in product/process development based on life-cycle thinking. Int J Prod Econ 112(1):5–17

    Google Scholar 

  192. Mitelman F, Johansson B, Mertens F (2007) The impact of translocations and gene fusions on cancer causation. Nat Rev Cancer 7(4):233

    Google Scholar 

  193. Boks MP, Russo S, Knegtering R, van den Bosch RJ (2000) The specificity of neurological signs in schizophrenia: a review. Schizophr Res 43(2–3):109–116

    Google Scholar 

  194. Platcheck ER, Schaeffer L, Kindlein W Jr, Cãndido LHA (2008) Methodology of ecodesign for the development of more sustainable electro-electronic equipments. J Clean Prod 16(1):75–86

    Google Scholar 

  195. Liu W, Zhang T, Xue Y, Zhai ZJ, Wang J, Wei Y, Chen Q (2015) State-of-the-art methods for inverse design of an enclosed environment. Build Environ 91:91–100

    Google Scholar 

  196. Rio M, Riel A, Brissaud D (2017) Design to environment: information model characteristics. Procedia CIRP 60:494–499

    Google Scholar 

  197. Tichem M, Storm T (1997) Designer support for product structuring—development of a DFX tool within the design coordination framework. Comput Ind 33(2–3):155–163

    Google Scholar 

  198. Ridker PM, Goldhaber SZ, Danielson E, Rosenberg Y, Eby CS, Deitcher SR, ..., Paulson R (2003) Long-term, low-intensity warfarin therapy for the prevention of recurrent venous thromboembolism. N Engl J Med, 348(15):1425–1434

  199. Rueckel V, Koch A, Feldmann K, Meerkamm H (2005) Process data management in the whole product creation process. In: Proc. of the 9th Int. Conf. on Computer SupportedCooperative Work in Design, vol. 2, pp. 1029–1033

  200. Lindemann, R. K., Newbold, A., Whitecross, K. F., Cluse, L. A., Frew, A. J., Ellis, L., ... ,Pellegrini M (2007). Analysis of the apoptotic and therapeutic activities of histone deacetylase inhibitors by using a mouse model of B cell lymphoma. Proc Natl Acad Sci, 104(19), 8071–8076

  201. Nadadur G, Parkinson MB (2013) The role of anthropometry in designing for sustainability. Ergonomics 56(3):422–439

    Google Scholar 

  202. Keil S, Lasch R (2015) A decision support system for “re-design for X” of production processes: particular focus on high tech industry. In: Logistics Management. Springer, Cham, pp 455–470

    Google Scholar 

  203. Kuo TC, Huang SH, Zhang HC (2001) Design for manufacture and design for ‘X’: concepts, applications, and perspectives. Comput Ind Eng 41(3):241–260

    Google Scholar 

  204. Corbett J (1991) Design for manufacture: strategies, principles, and techniques. Addison Wesley publishing company

  205. Ehrs M. (2012) Is the Automotive Industry Using Design-for-Assembly Anymore?, Ph.D. dissertation, Industrial Management 27- Acta Wasaensia 273- University of Vaasa .Vaasa, Finland

  206. Abramovici M, Breuer MA, Friedman AD (1990) Digital systems testing and testable design, vol 2. Computer science press, New York

    Google Scholar 

  207. Dewhurst P, Abbatiello N (1996) Design for service. In: Design for X. Springer, Dordrecht, pp 298–317

    Google Scholar 

  208. Costa N, Patrício L, Morelli N, Magee CL (2018) Bringing service design to manufacturing companies: integrating PSS and service design approaches. Des Stud 55:112–145

    Google Scholar 

  209. Husić-Mehmedović M, Omeragić I, Batagelj Z, Kolar T (2017) Seeing is not necessarily liking: advancing research on package design with eye-tracking. J Bus Res 80:145–154

    Google Scholar 

  210. Klevås J, Johnsson M, Jönson G (2006) A packaging redesign project at IKEA. In: Nordic case reader in logistics and supply chain management, J. S. Arlbjörn, ed., Odense: University Press of Southern Denmark, pp 139–149

  211. Marsillac E, Roh JJ (2014) Connecting product design, process and supply chain decisions to strengthen global supply chain capabilities. Int J Prod Econ 147:317–329

    Google Scholar 

  212. Negri E, Perotti S, Fumagalli L, Marchet G, Garetti M (2017) Modelling internal logistics systems through ontologies. Comput Ind 88:19–34

    Google Scholar 

  213. Di Gironimo G, Lanzotti A, Vanacore A (2006) Concept design for quality in virtual environment. Comput Graph 30(6):1011–1019

    Google Scholar 

  214. Volker L, Lauche K, Heintz JL, de Jonge H (2008) Deciding about design quality: design perception during a European tendering procedure. Des Stud 29(4):387–409

    Google Scholar 

  215. Sandberg SF, Erikson C, Owen R, Vickery KD, Shimotsu ST, Linzer M et al (2014) Hennepin health: a safety-net accountable care organization for the expanded Medicaid population. Health Aff 33(11):1975–1984

  216. Hundal MS (1998) Electrical Appliances: Safety and Human Considerations. Second Nord Design 98 Seminar on Engineering Design. KTH, Stockholm, pp 299–304

  217. Luo H, Liu Z. (2011) U.S. Patent No. 7,905,639. Washington, DC: U.S. Patent and Trademark Office

  218. Hadikusumo BHW, Rowlinson S (2004) Capturing safety knowledge using design-for-safety-process tool. J Constr Eng Manag 130(2):281–289

    Google Scholar 

  219. Prabhakaran RD, Babu BJC, Agrawal VP (2006) Design for ‘X’-abilities of RTM products-a graph theoretic approach. Concurr Eng 14(2):151–161

    Google Scholar 

  220. Amezquita T, Hammond R, Bras R (1995) Characterizing the Remanufacturability of Engineering Systems. Proc. of 1995 ASME Adv. in Des. Automation Conference, pp 271–278

  221. Shafiq SI, Sanin C, Toro C, Szczerbicki E (2015) Virtual engineering object (VEO): toward experience-based design and manufacturing for industry 4.0. Cybern Syst 46(1–2):35–50

    Google Scholar 

  222. Shafiq SI, Sanin C, Szczerbicki E, Toro C (2016) Virtual engineering factory: creating experience base for industry 4.0. Cybern Syst 47(1–2):32–47

    Google Scholar 

  223. Stock T, Seliger G (2016) Opportunities of sustainable manufacturing in industry 4.0. Procedia Cirp 40:536–541

    Google Scholar 

  224. Beyerer J, Jasperneite J, Sauer O (2015) Industrie 4.0. at-Automatisierungstechnik 63(10):751–752

    Google Scholar 

  225. Vogel-Heuser B, Hess D (2016) Guest editorial industry 4.0–prerequisites and visions. IEEE Trans Autom Sci Eng 13(2):411–413

    Google Scholar 

  226. Zhou K, Liu T, Zhou L (2015, August) Industry 4.0: towards future industrial opportunities and challenges. In: Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on. IEEE, pp 2147–2152

  227. Lasi H, Fettke P, Kemper HG, Feld T, Hoffmann M (2014) Industry 4.0. Bus Inf Syst Eng 6(4):239

  228. Liu A, Stephen CYL (2016) A crowdsourcing design framework for concept generation. CIRP Ann Manuf Technol 65(1):177–180

    Google Scholar 

  229. Lee SH, Yang CS (2017) A real time object recognition and counting system for smart industrial camera sensor. IEEE Sensors J 99

  230. Xia F, Yang LT, Wang L, Vinel A (2012) Internet of things. Int J Commun Syst 25(9):1101–1102

    Google Scholar 

  231. Whitmore A, Agarwal A, Da Xu L (2015) The internet of things—a survey of topics and trends. Inf Syst Front 17(2):261–274

    Google Scholar 

  232. Patel P, Cassou D (2015) Enabling high-level application development for the internet of things. J Syst Softw 103:62–84

    Google Scholar 

  233. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J 1(1):22–32

    Google Scholar 

  234. Zhang Y, Zhang G, Wang J, Sun S, Si S, Yang T (2015) Real-time information capturing and integration framework of the internet of manufacturing things. Int J Comput Integr Manuf 28(8):811–822

    Google Scholar 

  235. Xu X (2012) From cloud computing to cloud manufacturing. Robot Comput Integr Manuf 28(1):75–86

    Google Scholar 

  236. Armbrust M, Fox A, Griffith R, Joseph AD, Katz R, Konwinski A et al (2010) A view of cloud computing. Commun ACM 53(4):50–58

  237. Kumar V, Sharma D (2017) Cloud computing as a catalyst in STEM education. Int J Inf Commun Technol Educ 13(2):38–51

  238. Qu T, Lei SP, Wang ZZ, Nie DX, Chen X, Huang GQ (2016) IoT-based real-time production logistics synchronization system under smart cloud manufacturing. Int J Adv Manuf Technol 84(1–4):147–164

    Google Scholar 

  239. Zhong RY, Lan S, Xu C, Dai Q, Huang GQ (2016) Visualization of RFID-enabled shopfloor logistics big data in cloud manufacturing. Int J Adv Manuf Technol 84(1–4):5–16

    Google Scholar 

  240. Banyal RK, Jain P, Jain V (2013) Multi-factor authentication framework for cloud computing. In: Fifth International Conference on Computational Intelligence, Modelling and Simulation, pp 105–110

  241. Hajivali M, Fatemi Moghaddam F, Alrashdan MT, Alothmani AZ (2013) Applying an agent-based user authentication and access control model for cloud servers. In: 2013 International Conference on ICT Convergence (ICTC), pp 807–812. IEEE

  242. Moreno-Vozmediano R, Montero RS, Llorente IM (2013) Key challenges in cloud computing: enabling the future internet of services. IEEE Internet Comput 17(4):18–25

    Google Scholar 

  243. Maguluri ST, Srikant R, Ying L (2012) Stochastic models of load balancing and scheduling in cloud computing clusters. In: IEEE (2012) Proceedings of INFOCOM. IEEE, pp 702–710

  244. Sharkh MA, Jammal M, Shami A, Ouda A (2013) Resource allocation in a network-based cloud computing environment: design challenges. IEEE Commun Mag 51(11):46–52

    Google Scholar 

  245. Randles M, Lamb D, Taleb-Bendiab A (2010) A comparative study into distributed load balancing algorithms for cloud computing. In: IEEE Advanced Information Networking and Applications Workshops (WAINA), pp 551–556. WA, Perth

  246. Petcu D (2011, October) Portability and interoperability between clouds: challenges and case study. In: European conference on a service-based internet. Springer, Berlin, pp 62–74

    Google Scholar 

  247. Chaouni Benabdellah A, Benghabrit A, Bouhaddou I Zemmouri, E.M. (2016) Big data for supply chain management: opportunities and challenges. Int J Sci Eng Res 7(11):20–25

  248. Agarwal R, Weill P (2012) The benefits of combining data with empathy. MIT Sloan Manag Rev 54(1):35

    Google Scholar 

  249. Brown B, Chui M, Manyika J (2011) Are you ready for the era of ‘big data’? McKinsey Q 4(1):24–35

    Google Scholar 

  250. Armes T, Refern M (2013) Using “Big Data” and predictive machine learning in aerospace test environments. AUTOTESTCON IEEE: 1–5

  251. Brown H, Tong C, Foyster G (1983) Palladio: an exploratory environment for circuit design. Computer 12:41–56

    Google Scholar 

  252. Makino A, Barkan P, Pfaff R (1989) Design for serviceability. Proceedings of the 1989 ASME Winter Annual Meeting, San Francisco, CA

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Abla Chaouni Benabdellah.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Benabdellah, A.C., Bouhaddou, I., Benghabrit, A. et al. A systematic review of design for X techniques from 1980 to 2018: concepts, applications, and perspectives. Int J Adv Manuf Technol 102, 3473–3502 (2019). https://doi.org/10.1007/s00170-019-03418-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-019-03418-6

Keywords

Navigation