Abstract
Nowadays, companies are requiring a fast response to market, and supply chain must be adapted. This paper presents a structural equation model (SEM) integrating advanced manufacturing technology, pull system, responsiveness to market as independent latent variables, and responsive supply chain strategy as dependent latent variable. Those variables are related using six hypotheses. The SEM is aimed to measure the effect among latent variables and identify the most important activities that have the greatest effect. The SEM is statistically validated using information from 254 responses to a questionnaire applied in the manufacturing industry, and the partial least squares (PLS) technique is used. Findings indicate that advanced manufacturing technologies indirectly support companies to be able to respond to changes in demand and allow them to offer a rapid response in the changing market through the pull system implementation.
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References
Aghazadeh SM (2004) Does manufacturing need to make JIT delivery work? Manag Res News 27(1/2):27–42. https://doi.org/10.1108/01409170410784338
Aravindan P, Punniyamoorthy M (2002) Justification of Advanced Manufacturing Technologies (AMT). Int J Adv Manufac Technol 19(2):151–156. https://doi.org/10.1007/s001700200008
Azaron A, Venkatadri U, Doost AF (2019) Designing profitable and responsive supply chains under uncertainty. IFAC-PapersOnLine 52(13):2816–2820. https://doi.org/10.1016/j.ifacol.2019.11.635
Barbosa-Povoa AP, Pinto JM (2020) Process supply chains: perspectives from academia and industry. Comput Chem Eng 132:106606. https://doi.org/10.1016/j.compchemeng.2019.106606
Bechtsis D, Tsolakis N, Vlachos D, Iakovou E (2017) Sustainable supply chain management in the digitalisation era: the impact of Automated Guided Vehicles. J Clean Prod 142:3970–3984. https://doi.org/10.1016/j.jclepro.2016.10.057
Birasnav M, Bienstock J (2019) Supply chain integration, advanced manufacturing technology, and strategic leadership: an empirical study. Comput Ind Eng 130:142–157. https://doi.org/10.1016/j.cie.2019.01.021
Blome C, Schoenherr T, Rexhausen D (2013) Antecedents and enablers of supply chain agility and its effect on performance: a dynamic capabilities perspective. Int J Prod Res 51(4):1295–1318
Burgess TF (1997) Supply-chain collaboration and success in technology implementation. Integr Manuf Syst 8(5):323–332. https://doi.org/10.1108/09576069710179779
Catalan M, Kotzab H (2003) Assessing the responsiveness in the Danish mobile phone supply chain. Int J Phys Distrib Logist Manag 33(8):668–685
Chuu S-J (2009) Group decision-making model using fuzzy multiple attributes analysis for the evaluation of advanced manufacturing technology. Fuzzy Sets Syst 160(5):586–602. https://doi.org/10.1016/j.fss.2008.07.015
Crambes C, Henchiri Y (2019) Regression imputation in the functional linear model with missing values in the response. J Stat Planning Infer 201:103–119. https://doi.org/10.1016/j.jspi.2018.12.004
Dawal SZM, Tahriri F, Jen YH, Case K, Tho NH, Zuhdi A, Mousavi M, Amindoust A, Sakundarini N (2015) Empirical evidence of AMT practices and sustainable environmental initiatives in malaysian automotive SMEs. Int J Precis Eng Manuf 16(6):1195–1203. https://doi.org/10.1007/s12541-015-0154-6
DeRuntz BD, Turner RM (2003) Organizational considerations for advanced manufacturing technology. J Technol Stud 29(1):4–9
Díaz-Reza JR, García-Alcaraz JL, Gil-López AJ, Blanco-Fernández J, Jimenez-Macias E (2019a) Design, process and commercial benefits gained from AMT. J Manufac Technol Manage https://doi.org/10.1108/JMTM-03-2019-0113
Díaz-Reza JR, García-Alcaraz JL, Gil-López AJ, Blanco-Fernández J, Jiménez-Macías E (2019b) Design, process and commercial benefits gained from AMT. J Manufac Technol Manage vol ahead-of-print (No. ahead-of-print.)
Díaz-Reza JR, Mendoza-Fong JR, Blanco-Fernández J, Marmolejo-Saucedo JA, García-Alcaraz JL (2019c) The role of advanced manufacturing technologies in production process performance: a causal model. Appl Sci 9(18):3741
Dowlatshahi S (2008) The role of industrial maintenance in the maquiladora industry: an empirical analysis. Int J Prod Econ 114(1):298–307. https://doi.org/10.1016/j.ijpe.2008.02.009
Dray S, Josse J (2015) Principal component analysis with missing values: a comparative survey of methods. Plant Ecol 216(5):657–667. https://doi.org/10.1007/s11258-014-0406-z
Efstathiades A, Tassou SA, Oxinos G, Antoniou A (2000) Advanced manufacturing technology transfer and implementation in developing countries: the case of the Cypriot manufacturing industry. Technovation 20(2):93–102. https://doi.org/10.1016/S0166-4972(99)00100-5
Efstathiades A, Tassou S, Antoniou A (2002) Strategic planning, transfer and implementation of advanced manufacturing technologies (AMT). Development of an integrated process plan. Technovation 22(4):201–212. https://doi.org/10.1016/S0166-4972(01)00024-4
Ekren BY (2020) A simulation-based experimental design for SBS/RS warehouse design by considering energy related performance metrics. Simul Model Pract Theory 98:101991. https://doi.org/10.1016/j.simpat.2019.101991
García-Alcaraz JL, Macías AAM, Luevano DJP, Fernández JB, López AdJG, Macías EJ (2016) Main benefits obtained from a successful JIT implementation. Int J Adv Manufac Technol 86(9):2711–2722. https://doi.org/10.1007/s00170-016-8399-5
García JL, Rivera L, Blanco J, Jiménez E, Martínez E (2014) Structural equations modelling for relational analysis of jit performance in maquiladora sector. Int J Prod Res 52(17):4931–4949. https://doi.org/10.1080/00207543.2014.885143
Gass SI, Fu MC (2013) Pull System. In: Gass SI, Fu MC (eds) Encyclopedia of operations research and management science. Springer US, Boston, MA, pp 1192–1192. https://doi.org/10.1007/978-1-4419-1153-7_200664
Gonzalez SR, Zambrano GM, Mondragon IF (2019) Semi-heterarchical architecture to AGV adjustable autonomy within FMSs. IFAC-PapersOnLine 52(10):7–12. https://doi.org/10.1016/j.ifacol.2019.10.003
Gules HK, Burgess TF (1996) Manufacturing technology and the supply chain: Linking buyer-supplier relationships and advanced manufacturing technology. Eur J Purchasing Supply Manage 2(1):31–38. https://doi.org/10.1016/0969-7012(95)00014-3
Hadjimarcou J, Brouthers LE, McNicol JP, Michie DE (2013) Maquiladoras in the 21st century: six strategies for success. Bus Horiz 56(2):207–217. https://doi.org/10.1016/j.bushor.2012.11.005
Hair JF Jr, Black WC, Babin BJ, Anderson RE (2010) Multivariate data analysis prentice hall. Upper Saddle River, NJ, USA
Harland CM, Lamming RC, Cousins PD (1999) Developing the concept of supply strategy. Int J Oper Production Manage
Holweg M (2005) The three dimensions of responsiveness. Int J Oper Prod Manag 25(7):603–622. https://doi.org/10.1108/01443570510605063
Holweg M (2005a) The three dimensions of responsiveness. Int J Oper Production Manage
Hopp WJ, Spearman ML (2004) To pull or not to pull: what is the question? Manuf Serv Oper Manag 6(2):133–148
Hult GTM, Hurley RF, Knight GA (2004) Innovativeness: Its antecedents and impact on business performance. Ind Mark Manage 33(5):429–438
Hum S-H, Parlar M, Zhou Y (2018) Measurement and optimization of responsiveness in supply chain networks with queueing structures. Eur J Oper Res 264(1):106–118. https://doi.org/10.1016/j.ejor.2017.05.009
INEGI (2019) Monthly survey of manufacturing (EMIM) [In Spanish]. INEGI. https://www.inegi.org.mx/sistemas/bie/default.aspx?idserPadre=10400100. Accessed 18 Mar 2020 2016
Kaplan RS (1986) Must CIM be justified by faith alone?
Khojasteh Y (2016) Production systems. In: Khojasteh Y (ed) Production control systems: a guide to enhance performance of pull systems. Springer Japan, Tokyo, pp 7–24. https://doi.org/10.1007/978-4-431-55197-3_2
Kim M, Chai S (2017) The impact of supplier innovativeness, information sharing and strategic sourcing on improving supply chain agility: Global supply chain perspective. Int J Prod Econ 187:42–52. https://doi.org/10.1016/j.ijpe.2017.02.007
Kimura O, Terada H (1981) Desiǵn and analysis of Pull System, a method of multi-staǵe production control. Int J Prod Res 19(3):241–253
Kock N (2017) WarpPLS user manual: Version 6.0. ScriptWarp Systems: Laredo, TX, USA
Kock N, Lynn G (2012a) Lateral collinearity and misleading results in variance-based SEM: an illustration and recommendations
Kock N, Lynn G (2012b) Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. J Assoc Inf Syst 13(7)
Koh SCL, Gunasekaran A, Goodman T (2011) Drivers, barriers and critical success factors for ERPII implementation in supply chains: a critical analysis. J Strateg Inf Syst 20(4):385–402. https://doi.org/10.1016/j.jsis.2011.07.001
Kou T-C (2015) The influence of supply chain architecture on new product launch and performance in the high-tech industry. J Bus Ind Mark 30(5):677–687. https://doi.org/10.1108/JBIM-08-2013-0176
Koufteros XA (1999) Testing a model of pull production: a paradigm for manufacturing research using structural equation modeling. J Oper Manag 17(4):467–488. https://doi.org/10.1016/S0272-6963(99)00002-9
Krot K, Mazgajczyk E, Rusińska M, Woźna A (2019) Strategy of improving skills of innovation managers in the area of advanced manufacturing technologies. In: Burduk A, Chlebus E, Nowakowski T, Tubis A (eds) Intelligent systems in production engineering and maintenance, Cham, 2019// 2019. Springer International Publishing, pp 296–305
Kumar S (2013) Achieving customer service excellence using Lean Pull Replenishment. Int J Product Perform Manag 62(1):85–109. https://doi.org/10.1108/17410401311285318
Li JW (2005) Investigating the efficacy of exercising JIT practices to support pull production control in a job shop environment. J Manuf Technol Manag 16(7):765–783. https://doi.org/10.1108/17410380510626187
Liu S-T (2008) A fuzzy DEA/AR approach to the selection of flexible manufacturing systems. Comput Ind Eng 54(1):66–76. https://doi.org/10.1016/j.cie.2007.06.035
Li S, Zhao X, Huo B (2018) Supply chain coordination and innovativeness: a social contagion and learning perspective. Int J Prod Econ 205:47–61. https://doi.org/10.1016/j.ijpe.2018.07.033
Lyons AC, Mondragon AEC, Piller F, Poler R (2012) The development of supply chain strategy. In: Lyons AC, Coronado Mondragon AE, Piller F, Poler R (eds) Customer-driven supply chains: from glass pipelines to open innovation networks. Springer London, London, pp 1–19. https://doi.org/10.1007/978-1-84628-876-0_1
Lyu Z, Lin P, Guo D, Huang GQ (2020) Towards zero-warehousing smart manufacturing from zero-inventory just-in-time production. Robot Comput -Integr Manufac 64:101932. https://doi.org/10.1016/j.rcim.2020.101932
Marsh RF, Conard MA (2008) A pull system for delegating knowledge work. Oper Manag Res 1(1):61. https://doi.org/10.1007/s12063-008-0006-y
McDermott CM, Greis NP, Fischer WA (1997) The diminishing utility of the product/process matrix: a study of the US power tool industry. Int J Oper Prod Manag 17(1):65–84
Melnyk SA, Davis EW, Spekman RE, Sandor J (2010) Outcome-driven supply chains. MIT Sloan Manag Rev 51(2):33
Mora‐Monge CA, González ME, Quesada G, Rao SS (2008) A study of AMT in North America. J Manufac Technol Manag
Munksgaard KB, Stentoft J, Paulraj A (2014) Value-based supply chain innovation. Oper Manag Res 7(3):50–62. https://doi.org/10.1007/s12063-014-0092-y
Najera M (2008) Dialogue with Mexican maquiladora workers: why do they leave and why do they stay? Int J Commer Manag 18(3):289–302. https://doi.org/10.1108/10569210810907182
Nakandala D, Lau HCW (2019) Innovative adoption of hybrid supply chain strategies in urban local fresh food supply chain. Supply Chain Manage Int J 24(2):241–255. https://doi.org/10.1108/SCM-09-2017-0287
Narasimhan R, Kim SW, Tan KC (2008) An empirical investigation of supply chain strategy typologies and relationships to performance. Int J Prod Res 46(18):5231–5259
Nath S, Sarkar B (2017) Performance evaluation of advanced manufacturing technologies: a De novo approach. Comput Ind Eng 110:364–378. https://doi.org/10.1016/j.cie.2017.06.018
Pero M (2010) A framework for the alignment of new product development and supply chains. Supply Chain Manage Int J 15(2):115–128. https://doi.org/10.1108/13598541011028723
Puchkova A, Le Romancer J, McFarlane D (2016) Balancing push and pull strategies within the production system. IFAC-PapersOnLine 49(2):66–71. https://doi.org/10.1016/j.ifacol.2016.03.012
Qrunfleh S (2013) Lean and agile supply chain strategies and supply chain responsiveness: the role of strategic supplier partnership and postponement. Supply Chain Manage Int J 18(6):571–582. https://doi.org/10.1108/SCM-01-2013-0015
Ragatz GL, Handfield RB, Petersen KJ (2002) Benefits associated with supplier integration into new product development under conditions of technology uncertainty. J Bus Res 55(5):389–400
Rahman AA, Brookes NJ, Bennett DJ (2009) The precursors and impacts of BSR on AMT acquisition and implementation. IEEE Trans Eng Manage 56(2):285–297
Reddy KJM, Rao ANLK (2019) A review on supply chain performance measurement systems. Procedia Manufac 30:40–47. https://doi.org/https://doi.org/10.1016/j.promfg.2019.02.007
Reichhart A (2007) Creating the customer-responsive supply chain: a reconciliation of concepts. Int J Oper Prod Manag 27(11):1144–1172. https://doi.org/10.1108/01443570710830575
Roh J, Hong P, Min H (2014) Implementation of a responsive supply chain strategy in global complexity: the case of manufacturing firms. Int J Prod Econ 147:198–210
Ross DF (2015) Crafting business and supply chain strategies. In: Ross DF (ed) Distribution planning and control: managing in the era of supply chain management. Springer US, New York, pp 83–140. https://doi.org/10.1007/978-1-4899-7578-2_3
Sakakibara S, Flynn BB, Schroeder RG, Morris WT (1997) The impact of just-in-time manufacturing and its infrastructure on manufacturing performance. Manage Sci 43(9):1246–1257
Sandberg E (2018) Retail supply chain responsiveness. Int J Product Perform Manag 67(9):1977–1993. https://doi.org/10.1108/IJPPM-11-2017-0315
Selçuk B (2013) Adaptive lead time quotation in a pull production system with lead time responsive demand. J Manuf Syst 32(1):138–146. https://doi.org/10.1016/j.jmsy.2012.07.017
Siha S, Linn RJ (1989) A zero-one goal programming decision model for selecting technology alternatives. In: International industrial engineering conference, pp 200–206
Singh N (1992) Modelling and analysis of just-in-time manufacturing systems: a review. Int J Oper Prod Manag 12(2):3–14. https://doi.org/10.1108/01443579210009005
Singhry HB, Abd Rahman A, Imm NS (2016) Effect of advanced manufacturing technology, concurrent engineering of product design, and supply chain performance of manufacturing companies. Int J Adv Manufac Technol 86(1):663–669. https://doi.org/10.1007/s00170-015-8219-3
Sinkovics RR, Jean R-JB, Roath AS, Cavusgil ST (2011) Does IT integration really enhance supplier responsiveness in global supply chains? Manag Int Rev 51(2):193. https://doi.org/10.1007/s11575-011-0069-0
Sohal Amrik S (1992) Implementing advanced manufacturing technology: factors critical to success. Logist Inf Manag 5(1):39–46. https://doi.org/10.1108/09576059210011482
Utar H, Ruiz LBT (2013) International competition and industrial evolution: evidence from the impact of Chinese competition on Mexican maquiladoras. J Dev Econ 105:267–287. https://doi.org/10.1016/j.jdeveco.2013.08.004
van Hoek R (2006) From tinkering around the edge to enhancing revenue growth: supply chain-new product development. Supply Chain Manage Int J 11(5):385–389. https://doi.org/10.1108/13598540610682390
Worley JM, Mitchell RM (2008) Assessing content validity in Kaizen event research surveys. In: Proceedings of the IIE annual conference. Institute of Industrial Engineers-Publisher, p 1095
Yang J (2019) Turning responsible purchasing and supply into supply chain responsiveness. Ind Manag Data Syst 119(9):1988–2005. https://doi.org/10.1108/IMDS-01-2019-0029
Zhang L (2013) Kanban-controlled exponential production lines: analysis and design. J Manuf Technol Manag 24(3):358–383. https://doi.org/10.1108/17410381311318873
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Díaz-Reza, J.R., Morales-García, A.S., García-Alcaraz, J.L. (2021). Effect of Advanced Manufacturing Technology on Responsive Supply Chain Strategy, Pull System and Responsiveness to Market. In: García-Alcaraz, J.L., Realyvásquez-Vargas, A., Z-Flores, E. (eds) Trends in Industrial Engineering Applications to Manufacturing Process. Springer, Cham. https://doi.org/10.1007/978-3-030-71579-3_6
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