Servitization of manufacturing in the new ICTs era: A survey on operations management

Kangzhou WANG , Zhibin JIANG , Bo PENG , Hui JING

Front. Eng ›› 2021, Vol. 8 ›› Issue (2) : 223 -235.

PDF (528KB)
Front. Eng ›› 2021, Vol. 8 ›› Issue (2) : 223 -235. DOI: 10.1007/s42524-020-0103-7
REVIEW ARTICLE
REVIEW ARTICLE

Servitization of manufacturing in the new ICTs era: A survey on operations management

Author information +
History +
PDF (528KB)

Abstract

Servitization of manufacturing has become one of the main pathways for transition and upgrade in the manufacturing industry. New information and communication technologies (ICTs), such as the Internet of Things, Big Data, and Cloud Computing have enabled the servitization of manufacturing in terms of value creation, resource management, and supply chain management. This study presents a comprehensive review on the servitization in operations management in the era of new ICTs. A new value chain framework is proposed under the business model that revolves around servitization, which showcases the new activities and ways of implementation in the era of new ICTs. The virtualization, configuration, and evaluation of integrated manufacturing and service resources are analyzed. In particular, the methods used in new ICT-supported resource management platforms are surveyed. Problems in the supply chain management in manufacturing services (including the selection of partners, as well as the coordination, planning, and scheduling among members) are presented. This study concludes with a discussion on state-of-the-art servitization in operations management in the era of new ICTs.

Keywords

servitization / service-oriented manufacturing / value chain / resource integration / supply chain / ICT

Cite this article

Download citation ▾
Kangzhou WANG, Zhibin JIANG, Bo PENG, Hui JING. Servitization of manufacturing in the new ICTs era: A survey on operations management. Front. Eng, 2021, 8(2): 223-235 DOI:10.1007/s42524-020-0103-7

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Acar E, Lawaetz A J, Rasmussen M A, Bro R (2013). Structure-revealing data fusion model with applications in metabolomics. In: 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Osaka: 6023–6026

[2]

Agnihothri S, Sivasubramaniam N, Simmons D (2002). Leveraging technology to improve field service. International Journal of Service Industry Management, 13(1): 47–68

[3]

Agrawal V V, Bellos I (2017). The potential of servicizing as a green business model. Management Science, 63(5): 1545–1562

[4]

Alelaiwi A (2017). A collaborative resource management for big IoT data processing in Cloud. Cluster Computing, 20(2): 1791–1799

[5]

Appavoo J, Hui K, Soules C A N, Wisniewski R W, Da Silva D M, Krieger O, Auslander M A, Edelsohn D J, Gamsa B, Ganger G R, McKenney P, Ostrowski M, Rosenburg B, Stumm M, Xenidis J (2003). Enabling autonomic behavior in systems software with hot swapping. IBM Systems Journal, 42(1): 60–76

[6]

Babich V, Hilary G (2020). Distributed ledgers and operations: What operations management researchers should know about blockchain technology. Manufacturing & Service Operations Management, 22(2): 223–240

[7]

Bai J, Fang S, Peng H, Tang R (2017). BOSS modeling method for cloud manufacturing services normalization. Computer Integrated Manufacturing Systems, 23(10): 2279–2290 (in Chinese)

[8]

Batista L, Davis-Poynter S, Ng I, Maull R (2017). Servitization through outcome-based contract—A systems perspective from the defence industry. International Journal of Production Economics, 192: 133–143

[9]

Bertsimas D, Gupta S, Lulli G (2014). Dynamic resource allocation: A flexible and tractable modeling framework. European Journal of Operational Research, 236(1): 14–26

[10]

Buyya R, Yeo C S, Venugopal S, Broberg J, Brandic I (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25(6): 599–616

[11]

Cao W, Jiang P, Jiang K (2017). Demand-based manufacturing service capability estimation of a manufacturing system in a social manufacturing environment. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231(7): 1275–1297

[12]

Cao Y, Wang S L, Kang L, Li C S, Guo L (2015). Study on machining service modes and resource selection strategies in cloud manufacturing. International Journal of Advanced Manufacturing Technology, 81(1–4): 597–613

[13]

Chen J H, Wang Y L, Sun L Y (2001). Study on the processes and methods of partner selection in virtual organization. Systems Engineering-Theory & Practice, 21(7): 48–53 (in Chinese)

[14]

Cheng Y, Tao F, Liu Y, Zhao D, Zhang L, Xu L (2013). Energy-aware resource service scheduling based on utility evaluation in cloud manufacturing system. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 227(12): 1901–1915

[15]

Choi T M, Wallace S W, Wang Y L (2018). Big data analytics in operations management. Production and Operations Management, 27(10): 1868–1883

[16]

Culot G, Orzes G, Sartor M (2019). Integration and scale in the context of industry 4.0: The evolving shapes of manufacturing value chains. IEEE Engineering Management Review, 47(1): 45–51

[17]

Dai Q, Zhong R, Huang G Q, Qu T, Zhang T, Luo T (2012a). Radio frequency identification-enabled real-time manufacturing execution system: A case study in an automotive part manufacturer. International Journal of Computer Integrated Manufacturing, 25(1): 51–65

[18]

Dai Y, Zhou S X, Xu Y F (2012b). Competitive and collaborative quality and warranty management in supply chains. Production and Operations Management, 21(1): 129–144

[19]

Darghouth M N, Chelbi A, Ait-kadi D (2015). On reliability improvement of second-hand products. IFAC-PapersOnLine, 48(3): 2158–2163

[20]

Davies A (2003). Are firms moving downstream into high-value services? In: Tidd J, Hull F M, eds. Service Innovation: Organizational Responses to Technological Opportunities & Market Imperatives. Series on Technology Management, vol. 9: 321–340

[21]

Davies A (2004). Moving base into high-value integrated solutions: A value stream approach. Industrial and Corporate Change, 13(5): 727–756

[22]

Dickson G W (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1): 5–17

[23]

Fuggetta A, Picco G P, Vigna G (1998). Understanding code mobility. IEEE Transactions on Software Engineering, 24(5): 342–361

[24]

Gaiardelli P, Songini L, Morgantini M, Bonesio P (2016). Successful product-service strategies and managerial practices: A case study research of the Italian heavy truck assistance networks. Procedia CIRP, 47: 102–107

[25]

Gebauer H, Ren G J, Valtakoski A, Reynoso J (2012). Service-driven manufacturing: Provision, evolution and financial impact of services in industrial firms. Journal of Service Management, 23(1): 120–136

[26]

Gerasoulis A, Yang T (1993). On the granularity and clustering of directed acyclic task graphs. IEEE Transactions on Parallel and Distributed Systems, 4(6): 686–701

[27]

Gilbert F W, Young J A, O’Neal C R (1994). Buyer-seller relationships in just-in-time purchasing environments. Journal of Business Research, 29(2): 111–120

[28]

Godse M, Mulik S (2009). An approach for selecting software-as-a-service (SaaS) product. In: 2009 IEEE International Conference on Cloud Computing. Bangalore: IEEE, 155–158

[29]

Greenough R M, Grubic T (2011). Modelling condition-based maintenance to deliver a service to machine tool users. International Journal of Advanced Manufacturing Technology, 52(9–12): 1117–1132

[30]

Han X, Wu Y Y (2018). Analyzing the pattern of servitization for aviation manufacturing industry: Perspective of rebuilding value chain. China Soft Science, (3): 166–173 (in Chinese)

[31]

Hu H (2004). Reengineering of the global manufacturing value chain and China strategic choice. Science and Technology Progress and Policy, 21(4): 43–45 (in Chinese)

[32]

Hu Y L, Han Q L (2018). Value co-creation of product service system considered efforts of both parties. Computer Integrated Manufacturing Systems, 24(1): 213–223 (in Chinese)

[33]

Huang B Q, Li C H, Tao F (2014). A chaos control optimal algorithm for QoS-based service composition selection in cloud manufacturing system. Enterprise Information Systems, 8(4): 445–463

[34]

Huang H Z, Liu Z J, Murthy D N P (2007). Optimal reliability, warranty and price for new products. IIE Transactions, 39(8): 819–827

[35]

Huang Y (2013). The Research on Evaluation Model of Cloud Service Based on QoS and Application. Dissertation for the Master’s Degree. Hangzhou: Zhejiang Gongshang University

[36]

Huxtable J, Schaefer D (2016). On servitization of the manufacturing industry in the UK. Procedia CIRP, 52(1): 46–51

[37]

Izui K, Murakumo Y, Suemitsu I, Nishiwaki S, Noda A, Nagatani T (2013). Multiobjective layout optimization of robotic cellular manufacturing systems. Computers & Industrial Engineering, 64(2): 537–544

[38]

Johnson M, Mena C (2008). Supply chain management for servitised products: A multi-industry case study. International Journal of Production Economics, 114(1): 27–39

[39]

Kagermann H, Helbig J, Hellinger A, Wahlster W (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry. Final Report of the Industrie 4.0 Working Group. München: Acatech, 19–26

[40]

Kang Y F, Nie G H, Chen D L, Fu M (2015). Cloud service provider partner selection based on genetic algorithm. Application Research of Computers, 32(1): 26–29, 55 (in Chinese)

[41]

Kryvinska N, Kaczor S, Strauss C, Greguš M (2014). Servitization—Its raise through information and communication technologies. In: The International Conference on Exploring Services Science. Cham: Springer, 72–81

[42]

Laili Y J, Tao F, Zhang L, Sarker B R (2012). A study of optimal allocation of computing resources in cloud manufacturing systems. International Journal of Advanced Manufacturing Technology, 63(5–8): 671–690

[43]

Lartigau J, Xu X, Nie L, Zhan D (2015). Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimisation algorithm. International Journal of Production Research, 53(14): 4380–4404

[44]

Lay G (2014). Servitization in Industry. Cham, Switzerland: Springer

[45]

Lerch C, Gotsch M (2015). Digitalized product-service systems in manufacturing firms: A case study analysis. Research Technology Management, 58(5): 45–52

[46]

Li B H, Zhang L, Ren L, Chai X D, Tao F, Luo Y L, Wang Y Z, Yin C, Huang G, Zhao X P (2011). Further discussion on cloud manufacturing. Computer Integrated Manufacturing Systems, 17(3): 449–457 (in Chinese)

[47]

Li C, Wang S, Kang L, Guo L, Cao Y (2014). Trust evaluation model of cloud manufacturing service platform. International Journal of Advanced Manufacturing Technology, 75(1–4): 489–501

[48]

Li H, Jiao Q C, Wen X Y, Luo G F, Wu C L (2017). Implementation solution planning methodology of enterprise product-service system oriented to customer demand. Computer Integrated Manufacturing Systems, 23(8): 1750–1764 (in Chinese)

[49]

Li J R, Tao F, Cheng Y, Zhao L J (2015). Big Data in product lifecycle management. International Journal of Advanced Manufacturing Technology, 81(1–4): 667–684

[50]

Liang J, Chin K S, Dang C, Yam R C (2002). A new method for measuring uncertainty and fuzziness in rough set theory. International Journal of General Systems, 31(4): 331–342

[51]

Lim C H, Kim M J, Heo J Y, Kim K J (2018). Design of informatics-based services in manufacturing industries: Case studies using large vehicle-related databases. Journal of Intelligent Manufacturing, 29(3): 497–508

[52]

Lima Junior F R, Osiro L, Carpinetti L C R (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21: 194–209

[53]

Lin T Y, Yang C, Zhuang C H, Xiao Y Y, Tao F, Shi G Q, Geng C (2017). Multi-centric management and optimized allocation of manufacturing resource and capability in cloud manufacturing system. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 231(12): 2159–2172

[54]

Liu S, Hu Y A, Zhang Y Y (2018). Supply chain partner selection under cloud computing environment: An improved approach based on BWM and VIKOR. Mathematical Problems in Engineering, 7012827

[55]

Liu Y, Liu Z, Wang Y (2013). Customized warranty offering for configurable products. Reliability Engineering & System Safety, 118: 1–7

[56]

Lv M, Zhou C X, Shi J S, Liu L (2014). Research on cloud manufacturing resource-aware and access technology using RFID. Journal of Harbin Institute of Technology, 21(3): 101–110 (in Chinese)

[57]

Ma D, Kauffman R J (2014). Competition between software-as-a-service vendors. IEEE Transactions on Engineering Management, 61(4): 717–729

[58]

Ma H F, Wei S (2011). Approach on mechanism of manufacturing-service-value chain based on game analysis. In: The 2nd International Conference on Information Science and Engineering. Hangzhou: IEEE, 2663–2666

[59]

Matthyssens P, Vandenbempt K (2010). Service addition as business market strategy: Identification of transition trajectories. Journal of Service Management, 21(5): 693–714

[60]

Maull R, Smart A, Liang L (2014). A process model of product service supply chains. Production Planning and Control, 25(13–14): 1091–1106

[61]

Meier H, Roy R, Seliger G (2010). Industrial product-service systems—IPS2. CIRP Annals, 59(2): 607–627

[62]

Meng W, Li S, Yang G, Wei Z (2015). Reputation-based multi-dimensional trust model in cloud manufacturing service platform. Multiagent & Grid Systems, 10(4): 233–246

[63]

Momeni K, Martinsuo M (2018). Remote monitoring in industrial services: Need-to-have instead of nice-to-have. Journal of Business and Industrial Marketing, 33(6): 792–803

[64]

Muller A, Crespo Marquez A, Iung B (2008). On the concept of e-maintenance: Review and current research. Reliability Engineering & System Safety, 93(8): 1165–1187

[65]

Neely A (2008). Exploring the financial consequences of the servitization of manufacturing. Operations Management Research, 1(2): 103–118

[66]

Neuhüttler J, Ganz W, Spath D (2019). An integrative quality framework for developing industrial smart services. Service Science, 11(3): 157–171

[67]

Nguyen H T, Md Dawal S Z, Nukman Y, Aoyama H, Case K (2015). An integrated approach of fuzzy linguistic preference based AHP and fuzzy COPRAS for machine tool evaluation. PLoS One, 10(9): e0133599

[68]

Nie G H, She Q P, Chen D L (2011). Evaluation index system of cloud service and the purchase decision-making process based on AHP. In: Proceedings of the International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011). Melbourne: Springer, 345–352

[69]

Niu S, Ong S, Nee A (2012). An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises. International Journal of Production Research, 50(8): 2286–2303

[70]

Olsen T L, Tomlin B (2019). Industry 4.0: Opportunities and challenges for operations management. Manufacturing & Service Operations Management, 22(1): 113–122

[71]

Öner K B, Kiesmüller G P, van Houtum G J (2015). On the upgrading policy after the redesign of a component for reliability improvement. European Journal of Operational Research, 244(3): 867–880

[72]

Opresnik D, Taisch M (2015). The value of big data in servitization. International Journal of Production Economics, 165: 174–184

[73]

Örsdemir A, Deshpande V, Parlaktürk A K (2019). Is servicization a win-win strategy? Profitability and environmental implications of servicization. Manufacturing & Service Operations Management, 21(3): 674–691

[74]

Ostrom A L, Bitner M J, Brown S W, Burkhard K A, Goul M, Smith-Daniels V, Demirkan H, Rabinovich E (2010). Moving forward and making a difference: Research priorities for the science of service. Journal of Service Research, 13(1): 4–36

[75]

Passacantando M, Ardagna D, Savi A (2016). Service provisioning problem in cloud and multi-cloud systems. INFORMS Journal on Computing, 28(2): 265–277

[76]

Persona A, Regattieri A, Pham H, Battini D (2007). Remote control and maintenance outsourcing networks and its applications in supply chain management. Journal of Operations Management, 25(6): 1275–1291

[77]

Porter M E (1985). Competitive Advantage of Nations: Creating and Sustaining Superior Performance. New York: The Free Press

[78]

Qiu X W, Dai Y S, Xiang Y P, Xing L D (2016). A hierarchical correlation model for evaluating reliability, performance, and power consumption of a cloud service. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(3): 401–412

[79]

Rabetino R, Kohtamaki M, Gebauer H (2017). Strategy map of servitization. International Journal of Production Economics, 192: 144–156

[80]

Reinartz W, Ulaga W (2008). How to sell services more profitably. Harvard Business Review, 86(5): 90–96

[81]

Rymaszewska A, Helo P, Gunasekaran A (2017). IoT powered servitization of manufacturing—An exploratory case study. International Journal of Production Economics, 192: 92–105

[82]

Sahin F, Powell Robinson E, Gao L L (2008). Master production scheduling policy and rolling schedules in a two-stage make-to-order supply chain. International Journal of Production Economics, 115(2): 528–541

[83]

Sanders N R, Ganeshan R (2018). Big data in supply chain management. Production and Operations Management, 27(10): 1745–1748

[84]

Schroeder A, Kotlarsky J (2015). Digital resources and their role in advanced service provision: A VRIN analysis. In: Proceedings of the Spring Servitization Conference (SSC2015). Birmingham

[85]

Selçuk B, Ağralı S (2013). Joint spare parts inventory and reliability decisions under a service constraint. Journal of the Operational Research Society, 64(3): 446–458

[86]

Shafiee M, Chukova S, Yun W Y, Niaki S T A (2011). On the investment in a reliability improvement program for warranted second-hand items. IIE Transactions, 43(7): 525–534

[87]

Shin J, Jo M, Lee J, Lee D (2014). Strategic management of cloud computing services: Focusing on consumer adoption behavior. IEEE Transactions on Engineering Management, 61(3): 419–427

[88]

Shou Y Y, Wang W J, Slepniov D (2016). Value chain design and reorganization of Chinese manufacturers’ product service systems: A case study of Hangyang. Management Review, 28(2): 230–240 (in Chinese)

[89]

Singhal K, Feng Q, Ganeshan R, Sanders N R, Shanthikumar J G (2018). Introduction to the special issue on perspectives on big data. Production and Operations Management, 27(9): 1639–1641

[90]

Sivakumar R, Kannan D, Murugesan P (2015). Green vendor evaluation and selection using AHP and Taguchi loss functions in production outsourcing in mining industry. Resources Policy, 46: 64–75

[91]

Spring M, Araujo L (2013). Beyond the service factory: Service innovation in manufacturing supply networks. Industrial Marketing Management, 42(1): 59–70

[92]

Su C Y, Chen S J, Lin L (2003). A structured approach to measuring functional dependency and sequencing of coupled tasks in engineering design. Computers & Industrial Engineering, 45(1): 195–214

[93]

Sultan N (2014). Servitization of the IT industry: The cloud phenomenon. Strategic Change, 23(5–6): 375–388

[94]

Talluri S, Baker R C (1996). A quantitative framework for designing efficient business process alliances. In: International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies. Vancouver: IEEE, 656–661

[95]

Tao F, Qi Q L (2019). New IT driven service-oriented smart manufacturing: Framework and characteristics. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(1): 81–91

[96]

Tao F, Zhang L, Guo H, Luo Y L, Ren L (2011). Typical characteristics of cloud manufacturing and several key issues of cloud service composition. Computer Integrated Manufacturing Systems, 17(3): 477–486 (in Chinese)

[97]

Toloo M, Nalchigar S (2011). A new DEA method for supplier selection in presence of both cardinal and ordinal data. Expert Systems with Applications, 38(12): 14726–14731

[98]

Tormos P, Lova A (2001). Tools for resource-constrained project scheduling and control: Forward and backward slack analysis. Journal of the Operational Research Society, 52(7): 779–788

[99]

Verstrepen S, Deschoolmeester D, van den Berg R J (1999). Servitization in the automotive sector: Creating value and competitive advantage through service after sales. In: Mertins K, Krause O, Schallock B, eds. Global Production Management. Boston, MA: Springer, 538–545

[100]

Vinodh S, Anesh Ramiya R, Gautham S (2011). Application of fuzzy analytic network process for supplier selection in a manufacturing organisation. Expert Systems with Applications, 38(1): 272–280

[101]

Wang K Z, Peng B, Jiang Z B (2018). Roles of new generation of ICT in servitization of equipment manufacturing: A case study based on four Chinese companies. China Mechanical Engineering, 29(18): 2259–2267 (in Chinese)

[102]

Wang W Y, Jiang Y C, Wu W W (2017). Multiagent-based resource allocation for energy minimization in cloud computing systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(2): 205–220

[103]

Wang Y, Liu Z, Liu Y (2015). Optimal preventive maintenance strategy for repairable items under two-dimensional warranty. Reliability Engineering & System Safety, 142: 326–333

[104]

Weber C A, Current J R, Benton W (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1): 2–18

[105]

Wen D Y, Xia G P (2010). Selection of cooperative partners in virtual organizations based on cloud model. Industrial Engineering Journal, 13(5): 29–34 (in Chinese)

[106]

Wu Q W, Zhu Q S, Zhou M Q (2014). A correlation-driven optimal service selection approach for virtual enterprise establishment. Journal of Intelligent Manufacturing, 25(6): 1441–1453

[107]

Wu Y Q, He F Z, Zhang D J, Li X X (2018). Service-oriented feature-based data exchange for cloud-based design and manufacturing. IEEE Transactions on Services Computing, 11(2): 341–353

[108]

Xu W, Shao L, Yao B, Zhou Z, Pham D T (2016). Perception data-driven optimization of manufacturing equipment service scheduling in sustainable manufacturing. Journal of Manufacturing Systems, 41: 86–101

[109]

Xu X (2012). From cloud computing to cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 28(1): 75–86

[110]

Xu Y, Landon Y, Segonds S, Zhang Y (2017). A decision support model in mass customization. Computers & Industrial Engineering, 114: 11–21

[111]

Yang S, Wang J, Shi L, Tan Y, Qiao F (2018). Engineering management for high-end equipment intelligent manufacturing. Frontiers of Engineering Management, 5(4): 420–450

[112]

Yao J M, Liu L W (2009). Optimization analysis of supply chain scheduling in mass customization. International Journal of Production Economics, 117(1): 197–211

[113]

Yao J M (2013). Scheduling optimisation of co-operator selection and task allocation in mass customisation supply chain based on collaborative benefits and risks. International Journal of Production Research, 51(8): 2219–2239

[114]

Zhang X X (2011). Study on the three-stage model and methods of partner selection for virtual enterprise. Management Review, 23(3): 107–111 (in Chinese)

[115]

Zhang Y F, Ren S, Liu Y, Sakao T, Huisingh D (2017a). A framework for Big Data driven product lifecycle management. Journal of Cleaner Production, 159: 229–240

[116]

Zhang Y F, Ren S, Liu Y, Si S B (2017b). A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products. Journal of Cleaner Production, 142: 626–641

[117]

Zhang Y W, Ni Z W, Song J, Wang L (2011). Model of partner selection for dynamic virtual enterprise under the environment of cloud computing. Computer Science, 38(7): 212–215 (in Chinese)

[118]

Zhao S, Chen L, Yao H, Zhang Y, Sun X (2015). Strategy for dynamic 3D depth data matching towards robust action retrieval. Neurocomputing, 151: 533–543

[119]

Zhong R Y, Lan S L, Xu C, Dai Q Y, Huang G Q (2016). Visualization of RFID-enabled shopfloor logistics big data in cloud manufacturing. International Journal of Advanced Manufacturing Technology, 84(1–4): 5–16

[120]

Zhou Z D, Xu W J, Pham D T, Ji C (2009). QoS modeling and analysis for manufacturing networks: A service framework. In: Proceedings of the 7th IEEE International Conference on Industrial Informatics. Cardiff, Wales, 825–830

[121]

Zine P U, Kulkarni M S, Chawla R, Ray A K (2014). A framework for value co-creation through customization and personalization in the context of machine tool PSS. Procedia CIRP, 16(1): 32–37

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (528KB)

5722

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/