The application of Quick Response Manufacturing practices in Brazil, Europe, and the USA: An exploratory study

This research investigates the application of Quick Response Manufacturing (QRM) practices by enterprises in Brazil, Europe, and the USA. QRM is a management concept that focuses on time as the key factor in competitive manufacturing, particularly in customer-oriented Engineer and Make to Order (ETO/MTO) production environments. A literature review identifies QRM principles, divided into four core concepts. Next, an exploratory survey in 20 manufacturing companies that operate under ETO/MTO conditions and are known to have already implemented QRM shows that: (i) the degree of the application of QRM practices is not the same for the four core concepts of QRM; (ii) the extent of the implementation of each core concept is similar among all the world regions studied; (iii) the use of Lean Manufacturing favours the adoption of QRM; and (iv) the QRM practices least applied by the surveyed organizations are those related to the abandonment of a mentality based on economies of scale and cost reduction.

[1]  Pietro Romano,et al.  The transfer process of lean practices in multi-plant companies , 2017 .

[2]  Moacir Godinho Filho,et al.  Proposta de um método para atingir a manufatura responsiva na indústria de calçados: implantação e avaliação por meio de uma pesquisa-ação , 2012 .

[3]  Sabry Shaaban,et al.  Production systems: successful applications and new challenges part one – lean, six sigma, inventory, JIT and TOC , 2016 .

[4]  Xenophon Koufteros,et al.  The Impact of Organizational Culture on Time-Based Manufacturing and Performance , 2004, Decis. Sci..

[5]  Xenophon Koufteros,et al.  Internal and External Integration for Product Development: The Contingency Effects of Uncertainty, Equivocality, and Platform Strategy , 2005, Decis. Sci..

[6]  John K. McCreery,et al.  Competitive Priorities in Operations Management , 1998 .

[7]  T. Bortolotti,et al.  Successful lean implementation: Organizational culture and soft lean practices , 2015 .

[8]  S. Vinodh,et al.  Application of interpretive structural modelling for analysis of factors influencing lean remanufacturing practices , 2016 .

[9]  Rajab Abdullah Hokoma,et al.  The present status of quality and manufacturing management techniques and philosophies within the Libyan iron and steel industry , 2010 .

[10]  Fazleena Badurdeen,et al.  Integrating lean and other strategies for mass customization manufacturing: a case study , 2012, J. Intell. Manuf..

[11]  Danny Samson,et al.  Innovation capability in Australian manufacturing organisations: an exploratory study , 2014 .

[12]  John N. Pearson,et al.  Jit Manufacturing: a Survey of Implementations in Small and Large U.S. Manufacturers , 1999 .

[13]  Dirk Pieter van Donk,et al.  The impact of the customer order decoupling point on type and level of supply chain integration , 2016 .

[14]  Paolo Trucco,et al.  Understanding dynamism and complexity factors in engineer-to-order and their influence on lean implementation strategy , 2016 .

[15]  S. Siegel,et al.  Nonparametric Statistics for the Behavioral Sciences , 2022, The SAGE Encyclopedia of Research Design.

[16]  R. Schroeder,et al.  Relationships between implementation of TQM, JIT, and TPM and manufacturing performance , 2001 .

[17]  Rachna Shah,et al.  Defining and developing measures of lean production , 2007 .

[18]  Dirk Van Goubergen,et al.  Application of lean practices in small and medium-sized food enterprises , 2014 .

[19]  Nico Vandaele,et al.  Load-Based POLCA: An Integrated Material Control System for Multiproduct, Multimachine Job Shops , 2008, Manuf. Serv. Oper. Manag..

[20]  Angappa Gunasekaran,et al.  The future of operations management: An outlook and analysis , 2011 .

[21]  Jan Riezebos,et al.  Workload balancing capability of pull systems in MTO production , 2010 .

[22]  T. S. Ragu-Nathan,et al.  The impact of time-based manufacturing practices on mass customization and value to customer , 2001 .

[23]  Vladimir Modrak,et al.  Handbook of Research on Design and Management of Lean Production Systems , 2014 .

[24]  Thawatchai Jitpaiboon,et al.  Evolution of competitive priorities towards performance improvement: a meta-analysis , 2016 .

[25]  Maurizio Bevilacqua,et al.  Implementing lean information management: the case study of an automotive company , 2015 .

[26]  J. Matson,et al.  Just‐in‐time implementation issues among automotive suppliers in the southern USA , 2007 .

[27]  Peter T. Ward,et al.  Lean manufacturing: context, practice bundles, and performance , 2003 .

[28]  G. Stalk Time-The Next Source of Competitive Advantage , 1988 .

[29]  Chieh-Min Chou,et al.  How does manufacturing service perceived value influence customer satisfaction? An investigation of global semiconductor industry , 2014 .

[30]  Jagjit Singh Srai,et al.  Institutional and strategic operations perspectives on manufacturing reshoring , 2016 .

[31]  Rajan Suri,et al.  Quick Response Manufacturing , 1998 .

[32]  Ma Ga Yang,et al.  Impact of lean manufacturing and environmental management on business performance: An empirical study of manufacturing firms , 2011 .

[33]  D. J. Powell,et al.  21st Century operational excellence: Addressing the similarities and differences between Lean production, Agility and QRM , 2012, 2012 IEEE International Conference on Industrial Engineering and Engineering Management.

[34]  Frank Wiengarten,et al.  Internal lean practices and performance: The role of technological turbulence , 2015 .

[35]  Moacir Godinho Filho,et al.  Sistema POLCA: revisão, classificação e análise da literatura , 2014 .

[36]  Moacir Godinho Filho,et al.  From time-based competition (TBC) to quick response manufacturing (QRM): the evolution of research aimed at lead time reduction , 2013 .

[37]  R. Schroeder,et al.  Strategic, structural contingency and institutional explanations in the adoption of innovative manufacturing practices , 2004 .

[38]  Nico Vandaele,et al.  The extent of knowledge of Quick Response Manufacturing principles: an exploratory transnational study , 2017, Int. J. Prod. Res..

[39]  Jose Arturo Garza-Reyes,et al.  Adoption of operations improvement methods in the Greek engineering sector , 2015, 2015 International Conference on Industrial Engineering and Operations Management (IEOM).

[40]  Alejandro Alvarado-Iniesta,et al.  A systematic review/survey for JIT implementation: Mexican maquiladoras as case study , 2014, Comput. Ind..

[41]  T. S. Ragu-Nathan,et al.  Time-based manufacturing improves business performance—results from a survey , 2006 .

[42]  Lawrence M. Corbett,et al.  Grappling with a gusher! Manufacturing’s response to business success in small and medium enterprises , 2002 .

[43]  David W. Chapman,et al.  Translation Procedures for the Cross Cultural Use of Measurement Instruments , 1979 .

[44]  Mohd Nizam Ab Rahman,et al.  Adaptation of theories of supply chain management to the lean supply chain management , 2013 .

[45]  Angappa Gunasekaran,et al.  Lean manufacturing in Brazilian small and medium enterprises: implementation and effect on performance , 2016 .

[46]  Pietro Romano,et al.  Implementation of lean production in multinational corporations: A case study of the transfer process from headquarters to subsidiaries , 2016 .

[47]  Rajan Suri,et al.  It's About Time: The Competitive Advantage of Quick Response Manufacturing , 2010 .

[48]  Moacir Godinho Filho,et al.  Quick Response Manufacturing approach in a school supply company: proposal and analysis of expected results , 2011 .

[49]  Bhanu S. Ragu-Nathan,et al.  Development and validation of a measurement instrument for studying supply chain management practices , 2005 .

[50]  Yang Liu,et al.  Evaluating and developing resource-based operations strategy for competitive advantage: an exploratory study of Finnish high-tech manufacturing industries , 2015 .