Selection of Manufacturing Technologies in the Context of Digital Transformation: A Systematic Review

Currently, the digital transformation phenomenon is evident in all decision areas within modern firms and directly impacts the technology management process. For manufacturers, the management and selection of appropriate manufacturing technologies are relevant processes for the achievement of strategic objectives, including a digital strategy. This work is characterized as a review paper, based on a systematic literature review approach. It is derived from the observation of a real problem in a recognized world-class automaker, regarding the selection of manufacturing technologies. The identified problem consists of the lack of a structured and consolidated decision-aiding procedure to support managers in selecting manufacturing technologies in the context of digital transformation, from defining performance objectives to recommending technologies according to the decision objective. The main theoretical implications is the proposition of a research agenda for the development of a decision-aiding procedure concerning two main decision objectives: (i) develop a technology roadmap for a long-term investment plan, and (ii) address specific issues to improve manufacturing performance. The main managerial implication is the synthesis of decision methods and decision criteria observed in the set of related works that can be used for future applications regarding the selection of manufacturing technologies.

[1]  Alok Raj,et al.  Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective , 2020, International Journal of Production Economics.

[2]  Morteza Ghobakhloo,et al.  Determinants of information and digital technology implementation for smart manufacturing , 2019, Int. J. Prod. Res..

[3]  Rakesh D. Raut,et al.  Enabling Technologies for Industry 4.0 Manufacturing and Supply Chain: Concepts, Current Status, and Adoption Challenges , 2020, IEEE Engineering Management Review.

[4]  Surajit Nath,et al.  An Integrated Fuzzy Group Decision Support Framework for Performance Assessment of Advanced Manufacturing Technologies: An Eclectic Comparison , 2020 .

[5]  Jie Wu,et al.  A new DEA common-weight multi-criteria decision-making approach for technology selection , 2019, Int. J. Prod. Res..

[6]  Xun Xu,et al.  Technology selection methods and applications in manufacturing: A review from 1990 to 2017 , 2019, Computers & industrial engineering.

[7]  Abdulrahman Al-Ahmari,et al.  Comparative analysis of different digitization systems and selection of best alternative , 2017, Journal of Intelligent Manufacturing.

[8]  Lali,et al.  Hybrid fuzzy multi-attribute decision making model for evaluation of advanced digital technologies in manufacturing: Industry 4.0 perspective , 2019 .

[9]  Fatma Demircan Keskin,et al.  A two‐stage fuzzy approach for Industry 4.0 project portfolio selection within criteria and project interdependencies context , 2019, Journal of Multi-Criteria Decision Analysis.

[10]  Bijan Sarkar,et al.  Decision system framework for performance evaluation of advanced manufacturing technology under fuzzy environment , 2018 .

[11]  Süleyman Çakir,et al.  An integrated approach to machine selection problem using fuzzy SMART-fuzzy weighted axiomatic design , 2018, J. Intell. Manuf..

[12]  Ali Yassine,et al.  Opportunities for Decision Analysis in Engineering Management♦ , 2018, IEEE Engineering Management Review.

[13]  Daniel J. Power,et al.  Challenges for digital transformation – towards a conceptual decision support guide for managers , 2018, J. Decis. Syst..

[14]  Mario Rapaccini,et al.  The role of digital technologies for the service transformation of industrial companies , 2018, Int. J. Prod. Res..

[15]  R. Singh,et al.  Justification of advanced manufacturing technologies for small and medium enterprises from auto component sector: AHP approach , 2018 .

[16]  C. Storto.  A double-DEA framework to support decision-making in the choice of advanced manufacturing technologies , 2018 .

[17]  Bijan Sarkar,et al.  An Exploratory Analysis for the Selection and Implementation of Advanced Manufacturing Technology by Fuzzy Multi-criteria Decision Making Methods: A Comparative Study , 2017 .

[18]  Bijan Sarkar,et al.  Performance evaluation of advanced manufacturing technologies: A De novo approach , 2017, Comput. Ind. Eng..

[19]  Fernando Deschamps,et al.  Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal , 2017, Int. J. Prod. Res..

[20]  Fernando Deschamps,et al.  Assessing the maturity of a research area: bibliometric review and proposed framework , 2016, Scientometrics.

[21]  Erlend Alfnes,et al.  A differentiated approach for justification of advanced manufacturing technologies , 2016 .

[22]  Sang Do Noh,et al.  Smart manufacturing: Past research, present findings, and future directions , 2016, International Journal of Precision Engineering and Manufacturing-Green Technology.

[23]  Reza Ansari,et al.  Technology selection between technology management and decision making: a case study from the Iranian automotive industry , 2016 .

[24]  Kouroush Jenab,et al.  i-DEMATEL method for integrated manufacturing technology selection , 2015 .

[25]  Sharon M. Ordoobadi.  Application of AHP and Taguchi loss functions in evaluation of advanced manufacturing technologies , 2013, 2015 International Conference on Industrial Engineering and Operations Management (IEOM).

[26]  Kouroush Jenab,et al.  Analytical QFD model for strategic justification of advanced manufacturing technology , 2015 .

[27]  Jurgita Antucheviciene,et al.  A Hybrid MCDM Approach Based on Fuzzy ANP and Fuzzy TOPSIS for Technology Selection , 2015, Informatica.

[28]  Adiel Teixeira de Almeida,et al.  Multicriteria and multiobjective models for risk, reliability and maintenance decision analysis , 2015 .

[29]  Daniel Pacheco Lacerda,et al.  Design Science Research: A Method for Science and Technology Advancement , 2014 .

[30]  Mark Summers,et al.  A fuzzy-decision-tree approach for manufacturing technology selection exploiting experience-based information , 2013, Expert Syst. Appl..

[31]  M. Echeveste,et al.  A framework for decision-making in investment alternatives selection , 2013 .

[32]  Ali Emrouznejad,et al.  A new DEA model for technology selection in the presence of ordinal data , 2013 .

[33]  Sandeep Grover,et al.  A fuzzy multi attribute decision making approach for evaluating effectiveness of advanced manufacturing technology – in Indian context , 2013 .

[34]  Kim Hua Tan,et al.  Justification for the selection of manufacturing technologies: a fuzzy-decision-tree-based approach , 2012 .

[35]  Vipul Jain,et al.  An integrated approach for machine tool selection using fuzzy analytical hierarchy process and grey relational analysis , 2012 .

[36]  Yusuf Tansel İç,et al.  An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies , 2012 .

[37]  Sharon M. Ordoobadi.  Application of ANP methodology in evaluation of advanced technologies , 2012 .

[38]  Shankar Chakraborty,et al.  Applications of the MOORA method for decision making in manufacturing environment , 2011 .

[39]  Zahari Taha,et al.  A fuzzy AHP–ANN-based decision support system for machine tool selection in a flexible manufacturing cell , 2011 .

[40]  Zahari Taha,et al.  Analytical hierarchy process for the selection of advanced manufacturing technology in an aircraft industry , 2011, Int. J. Appl. Decis. Sci..

[41]  Victor B. Kreng,et al.  Strategic justification of advanced manufacturing technology using an extended AHP model , 2011 .

[42]  Prasenjit Chatterjee,et al.  Selection of industrial robots using compromise ranking and outranking methods , 2010 .

[43]  R. Venkata Rao,et al.  Decision making in the manufacturing environment using an improved PROMETHEE method , 2010 .

[44]  S. Chatterjee,et al.  Design Science Research in Information Systems , 2010 .

[45]  Kwai-Sang Chin,et al.  A new approach for the selection of advanced manufacturing technologies: DEA with double frontiers , 2009 .

[46]  Shian-Jong Chuu,et al.  Selecting the advanced manufacturing technology using fuzzy multiple attributes group decision making with multiple fuzzy information , 2009, Comput. Ind. Eng..

[47]  Dilek Çetindamar,et al.  Understanding technology management as a dynamic capability: A framework for technology management activities , 2009 .

[48]  Sharon M. Ordoobadi.  Evaluation of advanced manufacturing technologies using Taguchi's loss functions , 2009 .

[49]  Shian-Jong Chuu,et al.  Group decision-making model using fuzzy multiple attributes analysis for the evaluation of advanced manufacturing technology , 2009, Fuzzy Sets Syst..

[50]  D. Tranfield,et al.  Producing a systematic review. , 2009 .

[51]  S. E. Gouvea da Costa,et al.  Advanced manufacturing technology adoption: an integrated approach , 2008 .

[52]  Z. Sener,et al.  A decision making approach based on fuzzy regression and fuzzy multiple objective programming for advanced manufacturing technology selection , 2008, 2008 IEEE International Conference on Industrial Engineering and Engineering Management.

[53]  E. Ertugrul Karsak,et al.  Improved common weight MCDM model for technology selection , 2008 .

[54]  Ravi Shankar,et al.  An AHP approach for the selection of Advanced Manufacturing System: a case study , 2008, Int. J. Manuf. Res..

[55]  A. M. A. Al-Ahmari,et al.  A methodology for selection and evaluation of advanced manufacturing technologies , 2008, Int. J. Comput. Integr. Manuf..

[56]  Richard Greenough,et al.  A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies , 2008 .

[57]  Shiang-Tai Liu,et al.  A fuzzy DEA/AR approach to the selection of flexible manufacturing systems , 2008, Comput. Ind. Eng..

[58]  Jun-Ing Ker,et al.  Fuzzy analytic hierarchy process based group decision support system to select and evaluate new manufacturing technologies , 2007 .

[59]  Manoj Kumar Tiwari,et al.  Consensus-based intelligent group decision-making model for the selection of advanced technology , 2006, Decis. Support Syst..

[60]  Afonso Fleury,et al.  Strategic selection of advanced manufacturing technologies (AMT), based on the manufacturing vision , 2006, Int. J. Comput. Appl. Technol..

[61]  Mehdi Toloo,et al.  An improved MCDM DEA model for technology selection , 2006 .

[62]  Robert Phaal,et al.  From theory to practice: challenges in operationalising a technology selection framework , 2006 .

[63]  Robert Phaal,et al.  Technology management tools: concept, development and application , 2006 .

[64]  Kim Hua Tan,et al.  Managing manufacturing technology investments: An intelligent learning system approach , 2006, Int. J. Comput. Integr. Manuf..

[65]  Hing Kai Chan,et al.  An integrated fuzzy approach for the selection of manufacturing technologies , 2006 .

[66]  Christopher A. Voss,et al.  Paradigms of manufacturing strategy re‐visited , 2005 .

[67]  Ozden Bayazit,et al.  Use of AHP in decision‐making for flexible manufacturing systems , 2005 .

[68]  S. K. Mukherjee,et al.  Integrating AHP with QFD for robot selection under requirement perspective , 2005 .

[69]  E. E. Karsak *,et al.  Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection , 2005 .

[70]  Shu-Hsien Liao,et al.  Technology management methodologies and applications A literature review from 1995 to 2003 , 2005 .

[71]  Robert Phaal,et al.  Technology management process assessment: a case study , 2001 .

[72]  Ken Platts,et al.  Manufacturing vision and competitiveness , 1997 .

[73]  Mike Gregory,et al.  Industrial concerns in technology selection , 1997, Innovation in Technology Management. The Key to Global Leadership. PICMET '97.

[74]  M. H. Small,et al.  Economic and strategic justification of AMT inferences from industrial practices , 1997 .

[75]  Mike Gregory,et al.  Technology Management: A Process Approach , 1995 .

[76]  J. Barney.  Firm Resources and Sustained Competitive Advantage , 1991 .