Matching functions of supply chain management with smart and sustainable Tools: A novel hybrid BWM-QFD based method

Abstract In recent years, there is a noticeable increase in interest in supply chain smartness and sustainability since a growing number of companies are adopting smart technologies and sustainable practices in the functions of supply chain management. Therefore, scholars and practitioners seek to make sense of how this phenomenon can be addressed concerning companies’ maturity level of supply chain smartness and sustainability. This paper proposes a novel hybrid methodology combining the Best-Worst Method (BWM) and Quality Function Deployment (QFD) to assess the level of maturity for supply chain smartness and sustainability by weighting the functions of supply chain management. A twin-QFD technique is used to obtain a conceptual design to determine the relationship between the functions of supply chain smartness tools and sustainability indicators to assess the level of maturity, whereas the BWM is used to determine the weights of the functions of supply chain management. A case study in the automotive manufacturing industry is applied to demonstrate the applicability of the proposed approach. The findings disclose the prominent smart technologies (simulation, big data analytics, cloud computing) and sustainability indicators (costs, lead time, and damage and loss) in integrating Industry 4.0 technologies and sustainable supply chain practices. Findings also suggest a guideline to compare the current and targeted levels of smartness and sustainability maturity. This study provides insights for scholars and practitioners and contributes to the body of knowledge by evaluating companies’ maturity of digital transformation and sustainable practices in the supply chain functions.

[1]  Elaine Aspinwall,et al.  Quality function deployment in construction , 2007 .

[2]  Chih-Hsuan Wang,et al.  Using quality function deployment for collaborative product design and optimal selection of module mix , 2012, Comput. Ind. Eng..

[3]  Sevin Sozer,et al.  Product planning in quality function deployment using a combined analytic network process and goal programming approach , 2003 .

[4]  Richard E. Zultner,et al.  TQM for technical teams , 1993, CACM.

[5]  S. Vinodh,et al.  Application of fuzzy logic-based Eco-QFD for a disconnecting switch , 2012 .

[6]  S. Ali Torabi,et al.  Supply chain performance measurement and evaluation: A mixed sustainability and resilience approach , 2018, Comput. Ind. Eng..

[7]  Francisco Tamayo Enríquez,et al.  TQM and QFD: exploiting a customer complaint management system , 2005 .

[8]  Amitava Ray,et al.  Supplier Selection: Integrated Theory using DEMATEL and Quality Function Deployment Methodology , 2012 .

[9]  N. Gunasekaran,et al.  Optimizing supply chain management using fuzzy approach , 2006 .

[10]  Monica Leba,et al.  QFD Integrated in New Product Development - Biometric Identification System Case Study☆ , 2015 .

[11]  Yoji Akao,et al.  Quality Function Deployment : Integrating Customer Requirements into Product Design , 1990 .

[12]  Zahir Irani,et al.  A framework for managing maintenance using performance measurement systems , 2001 .

[13]  So Young Sohn,et al.  Fuzzy QFD for supply chain management with reliability consideration , 2001, Reliab. Eng. Syst. Saf..

[14]  E. Ertugrul Karsak,et al.  Fuzzy multiple objective programming framework to prioritize design requirements in quality function deployment , 2004, Comput. Ind. Eng..

[15]  S. Vinodh,et al.  Integration of ECQFD and LCA for enabling sustainable product design in an electric vehicle manufacturing organisation , 2011 .

[16]  J. Lam,et al.  Innovative solutions for enhancing customer value in liner shipping , 2019, Transport Policy.

[17]  Liang Ma,et al.  Development of smart nursing homes using systems engineering methodologies in industry 4.0 , 2018, Enterp. Inf. Syst..

[18]  Faisal Khan,et al.  A rough set-based quality function deployment (QFD) approach for environmental performance evaluation: a case of offshore oil and gas operations , 2011 .

[19]  Laura Lehtola,et al.  The Focus Group Method as an Empirical Tool in Software Engineering , 2008, Guide to Advanced Empirical Software Engineering.

[20]  Hamzah Abdul-Rahman,et al.  Quality function deployment in construction design: application in low‐cost housing design , 1999 .

[21]  Prasenjit Chatterjee,et al.  Integrated QFD-MCDM framework for green supplier selection , 2017 .

[22]  Lanndon A. Ocampo,et al.  Integrated multiphase sustainable product design with a hybrid quality function deployment – multi-attribute decision-making (QFD-MADM) framework , 2020 .

[23]  J. Lam,et al.  Developing supply chain security design of logistics service providers: An analytical network process-quality function deployment approach , 2015 .

[24]  George Macleod Coghill,et al.  Towards Model-based Methods for Developing Model-based Systems , 2004, Int. J. Gen. Syst..

[25]  Wei Luo,et al.  Identifying key performance factors for sustainability development of SMEs – integrating QFD and fuzzy MADM methods , 2017 .

[26]  Jennifer Blackhurst,et al.  A four-phase AHP–QFD approach for supplier assessment: a sustainability perspective , 2012 .

[27]  S. Vinodh,et al.  Application of QFD for supplier selection in an Indian electronics switches manufacturing organisation , 2011 .

[28]  Javad Soroor,et al.  An advanced adoption model and an algorithm of evaluation agents in automated supplier ranking , 2011, Comput. Math. Appl..

[29]  Lauro Osiro,et al.  A group decision model based on quality function deployment and hesitant fuzzy for selecting supply chain sustainability metrics , 2018 .

[30]  I. Tomasevic,et al.  Transformation of quality aspects throughout the chicken meat supply chain , 2018 .

[31]  Dominique Millet,et al.  Sustainable Life Cycle Design Using Constraint Satisfaction Problems and Quality Function Deployment , 2017 .

[32]  Amir-Reza Abtahi,et al.  Designing Software as a Service in Cloud Computing Using Quality Function Deployment , 2018, Int. J. Enterp. Inf. Syst..

[33]  J. Rezaei.  Best-worst multi-criteria decision-making method , 2015 .

[34]  Ramalingaiah,et al.  Fuzzy Quantitative Approach to Prioritize Green Factors in Supply Chain , 2014 .

[35]  Jasmine Siu Lee Lam,et al.  Developing environmental sustainability by ANP-QFD approach: the case of shipping operations , 2015 .

[36]  K. Narayana Rao,et al.  Aligning the competitive strategy with supply chain strategy through QFD , 2012 .

[37]  Abbie Griffin,et al.  The Voice of the Customer , 1993 .

[38]  Jasmine Siu Lee Lam,et al.  A quality function deployment approach to improve maritime supply chain resilience , 2016 .

[39]  M. Fitzgerald.  Preparing analytics for a strategic role behind wellpoint , 2014 .

[40]  Xun Xu,et al.  Incorporating Quality Function Deployment with modularity for the end-of-life of a product family , 2015 .

[41]  Mahnaz Zarei,et al.  FOOD SUPPLY CHAIN LEANNESS USING A DEVELOPED QFD MODEL , 2011 .

[42]  Prasanta Kumar Dey,et al.  Strategic sourcing in the UK bioenergy industry , 2013 .

[43]  Turan Paksoy,et al.  A Conceptual Framework for Industry 4.0 , 2020 .

[44]  Omid Ameri Sianaki,et al.  Dynamic sustainability requirements of stakeholders and the supply portfolio , 2020 .

[45]  Jafar Razmi,et al.  An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation , 2009, Expert Syst. Appl..

[46]  Nantawan Therdthai,et al.  Gold kiwifruit leather product development using Quality function deployment approach , 2010 .

[47]  Emad Roghanian,et al.  A framework for sustainable product design: a hybrid fuzzy approach based on Quality Function Deployment for Environment , 2015 .

[48]  Robert Phaal,et al.  An integrated service-device-technology roadmap for smart city development , 2013 .

[49]  P. Malliga,et al.  Supplier Selection based on AHP QFD Methodology , 2013 .

[50]  Michele Germani,et al.  A QFD-based method to support SMEs in benchmarking co-design tools , 2012, Comput. Ind..

[51]  Mohammad J. Tarokh,et al.  Intelligent evaluation of supplier bids using a hybrid technique in distributed supply chains , 2012 .

[52]  Jonathan Q. Tritter,et al.  Focus group method and methodology: current practice and recent debate , 2006 .

[53]  Vivek Sood,et al.  Green Supply Chains: An Action Manifesto , 2010 .

[54]  Edmundas Kazimieras Zavadskas,et al.  A group decision making support system in logistics and supply chain management , 2017, Expert Syst. Appl..

[55]  Ming-Lang Tseng,et al.  Using QFD and ANP to analyze the environmental production requirements in linguistic preferences , 2010, Expert Syst. Appl..

[56]  Moonseo Park,et al.  Determining retrofit technologies for building energy performance , 2020 .

[57]  S. Vinodh,et al.  Application of fuzzy QFD for enabling sustainability , 2011 .

[58]  Ming-Lu Wu,et al.  Quality function deployment: A literature review , 2002, Eur. J. Oper. Res..

[59]  Habib Chabchoub,et al.  A Quality Function Deployment approach for Production Resilience improvement in Supply Chain: Case of Agrifood Industry , 2016 .

[60]  S. H. Amin,et al.  A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry , 2018, Expert Syst. Appl..

[61]  X. Xu,et al.  Extended QFD and data-mining-based methods for supplier selection in mass customization , 2007, Int. J. Comput. Integr. Manuf..

[62]  Ying-Shen Juang,et al.  An integrated information system for product design planning , 2008, Expert Syst. Appl..

[63]  Francis Amagoh,et al.  Application of QFD in product development of a glass manufacturing company in Kazakhstan , 2010 .

[64]  Yan Chen,et al.  Made in China 2025 and manufacturing strategy decisions with reverse QFD , 2020 .

[65]  Prasanta Kumar Dey,et al.  A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments , 2015 .

[66]  Amy J. C. Trappey,et al.  Service design blueprint approach incorporating TRIZ and service QFD for a meal ordering system: A case study , 2017, Comput. Ind. Eng..

[67]  Ruchi Mishra,et al.  Prioritising dimensions of entrepreneurial orientation for supply chain flexibility development in an uncertain environment , 2019, Journal of Manufacturing Technology Management.

[68]  Solmaz Filiz Karabag.  Factors impacting firm failure and technological development: A study of three emerging-economy firms , 2019, Journal of Business Research.

[69]  Manisra Baramichai,et al.  Agile supply chain transformation matrix: an integrated tool for creating an agile enterprise , 2007 .

[70]  Chulung Lee,et al.  User Requirement Analysis and IT Framework Design for Smart Airports , 2013, Wirel. Pers. Commun..

[71]  M. Goh,et al.  A novel Kano-QFD-DEMATEL approach to optimise the risk resilience solution for sustainable supply chain , 2020, Int. J. Prod. Res..

[72]  S. Vinodh,et al.  Integration of ECQFD and LCA for sustainable product design , 2010 .

[73]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[74]  Hsing-Pei Kao,et al.  An evaluation approach to logistics service using fuzzy theory, quality function development and goal programming , 2014, Comput. Ind. Eng..

[75]  Ibo van de Poel,et al.  Methodological problems in QFD and directions for future development , 2007 .

[76]  Mohammed Quaddus,et al.  A multi-phased QFD based optimization approach to sustainable service design , 2016 .

[77]  M. Quaddus,et al.  Dynamic capabilities for meeting stakeholders' sustainability requirements in supply chain , 2019, Journal of Cleaner Production.

[78]  A. Noorul Haq,et al.  Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach , 2017, J. Intell. Manuf..

[79]  Suihuai Yu,et al.  Research on multi-objective decision-making under cloud platform based on quality function deployment and uncertain linguistic variables , 2019, Adv. Eng. Informatics.

[80]  Madjid Tavana,et al.  A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties , 2020, International Journal of Production Economics.

[81]  Hao-Tien Liu,et al.  Product design and selection using fuzzy QFD and fuzzy MCDM approaches , 2011 .

[82]  Sifeng Liu,et al.  An integrated fuzzy QFD and grey decision-making approach for supply chain collaborative quality design of large complex products , 2020, Comput. Ind. Eng..

[83]  Mohamed Zairi,et al.  Quality function deployment , 1995 .

[84]  Eleonora Bottani,et al.  Strategic management of logistics service: A fuzzy QFD approach , 2006 .

[85]  Filippo Emanuele Ciarapica,et al.  A FUZZY-QFD APPROACH TO SUPPLIER SELECTION , 2006 .

[86]  Li Na,et al.  Decision Making Model Based on QFD Method for Power Utility Service Improvement , 2012 .

[87]  M. Bai,et al.  An approach for manufacturing strategy development based on fuzzy-QFD , 2011, Comput. Ind. Eng..

[88]  N. Leech,et al.  A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research , 2009 .

[89]  Gülfem Isiklar Alptekin,et al.  A Fuzzy Quality Function Deployment Approach for Differentiating Cloud Products , 2018, Int. J. Comput. Intell. Syst..

[90]  S. Routroy,et al.  Study on manufacturer–dealer relationships for strategic alignment , 2019, Journal of Global Operations and Strategic Sourcing.

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

[92]  Li Pheng Khoo,et al.  Towards a QFD-based expert system: A novel extension to fuzzy QFD methodology using rough set theory , 2010, Expert Syst. Appl..

[93]  S. F. Ghannadpour,et al.  Appraising the triple bottom line utility of sustainable project portfolio selection using a novel multi-criteria house of portfolio , 2020, Environment, Development and Sustainability.

[94]  Yu-Hui Wang,et al.  Explore technology innovation and intelligence for IoT (Internet of Things) based eyewear technology , 2018 .

[95]  J. Lam,et al.  Environmental sustainability of logistics service provider: an ANP-QFD approach , 2015 .

[96]  Morteza Yazdani,et al.  A decision support model based on the combined structure of DEMATEL, QFD and fuzzy values , 2020, Soft Comput..

[97]  Florentin Smarandache,et al.  A Hybrid Plithogenic Decision-Making Approach with Quality Function Deployment for Selecting Supply Chain Sustainability Metrics , 2019, Symmetry.

[98]  S. Vinodh,et al.  Application of fuzzy quality function deployment for sustainable design of consumer electronics products: a case study , 2017, Clean Technologies and Environmental Policy.

[99]  Fiorenzo Franceschini.  Advanced Quality Function Deployment , 2001 .

[100]  M. McMaster,et al.  Risk Management: Rethinking Fashion Supply Chain Management for Multinational Corporations in Light of the COVID-19 Outbreak , 2020 .

[101]  J. Scott Sutterfield,et al.  Supplier selection using QFD: a consumer products case study , 2012 .

[102]  Amitava Ray,et al.  An Integrated Approach for Supplier Selection , 2012 .

[103]  M. Quaddus,et al.  A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh , 2015 .

[104]  Majid Azadi,et al.  A combination of QFD and imprecise DEA with enhanced Russell graph measure: A case study in healthcare , 2013 .

[105]  M. Prapa,et al.  ASCTM Approach for Enterprise Agility , 2014 .

[106]  Thayla T. Sousa-Zomer,et al.  A QFD-based approach to support sustainable product-service systems conceptual design , 2017 .

[107]  Anjali Awasthi,et al.  Modelling customer and technical requirements for sustainable supply chain planning , 2014 .

[108]  Gülçin Büyüközkan,et al.  An integrated QFD framework with multiple formatted and incomplete preferences: A sustainable supply chain application , 2013, Appl. Soft Comput..

[109]  Gülçin Büyüközkan,et al.  Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment , 2011, Expert Syst. Appl..

[110]  Jiangtao Hong,et al.  Building Sustainable Supply Chains for Organizations Based on QFD: A Case Study , 2018, International journal of environmental research and public health.

[111]  Fariborz Y. Partovi,et al.  An analytical model of process choice in the chemical industry , 2007 .

[112]  Glenn H. Mazur,et al.  The leading edge in QFD: past, present and future , 2003 .

[113]  Miryam Barad.  A methodology for deploying flexibility in supply chains , 2012 .

[114]  Zülal Güngör,et al.  A new mixed integer linear programming model for product development using quality function deployment , 2009, Comput. Ind. Eng..

[115]  Paulo Augusto Cauchick Miguel,et al.  Application of Quality Function Deployment for the development of an organic product , 2015 .

[116]  Liu.  MODELLING AND SIMULATION OF QUALITY RISK FORECASTING IN A SUPPLY CHAIN , 2015 .

[117]  Richard A. Krueger,et al.  Focus group interviewing , 1994 .

[118]  Pisal Yenradee,et al.  Fuzzy QFD approach for managing SCOR performance indicators , 2018, Comput. Ind. Eng..

[119]  Barry J. Babin,et al.  Essentials of Marketing Research , 1998 .

[120]  Rossitza Setchi,et al.  Integrated eco-design decision-making for sustainable product development , 2015 .

[121]  Morteza Yazdani,et al.  A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis , 2019, Expert Syst. Appl..

[122]  Ali Emrouznejad,et al.  Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach , 2012, Expert Syst. Appl..

[123]  Ingrid Bouwer Utne,et al.  Improving the environmental performance of the fishing fleet by use of Quality Function Deployment (QFD) , 2009 .

[124]  Andrew W. H. Ip,et al.  Analyze the healthcare service requirement using fuzzy QFD , 2015, Comput. Ind..

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

[126]  Jung Woo Kim,et al.  Development of user customized smart keyboard using Smart Product Design-Finite Element Analysis Process in the Internet of Things. , 2018, ISA transactions.

[127]  K. Narayana Rao,et al.  Supply chain design through QFD-based optimization , 2014 .

[128]  Francisco Rodrigues Lima Junior,et al.  A multicriteria approach based on fuzzy QFD for choosing criteria for supplier selection , 2016, Comput. Ind. Eng..

[129]  Vadivel Sengazani Murugesan,et al.  Sustainable postal service design: integrating quality function deployment from the customers perspective , 2020, Int. J. Syst. Assur. Eng. Manag..

[130]  Rambabu Kodali,et al.  Benchmarking the quality function deployment models , 2013 .

[131]  S. Ghosh,et al.  Supply chain analysis of e-waste processing plants in developing countries , 2019, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[132]  Shankar Chakraborty,et al.  QFD-based expert system for non-traditional machining processes selection , 2007, Expert Syst. Appl..

[133]  Enrico Vezzetti,et al.  Guidelines to design engineering education in the twenty-first century for supporting innovative product development , 2017 .

[134]  S. Vinodh,et al.  Integration of ECQFD, TRIZ, and AHP for innovative and sustainable product development , 2014 .

[135]  Eleonora Bottani,et al.  A FUZZY QFD APPROACH TO ACHIEVE AGILITY , 2009 .

[136]  Jasmine Siu Lee Lam,et al.  Designing a sustainable maritime supply chain: A hybrid QFD–ANP approach , 2015 .

[137]  Janko Drnovšek,et al.  An overview and evaluation of quality-improvement methods from the manufacturing and supply-chain perspective , 2017 .

[138]  Yihai He,et al.  Root cause analysis approach based on reverse cascading decomposition in QFD and fuzzy weight ARM for quality accidents , 2020, Comput. Ind. Eng..

[139]  Nadia Bhuiyan,et al.  A new model of sustainable product development process for making trade-offs , 2018 .