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

doi:10.1007/s42524-020-0103-7

Front. Eng

2021, Vol. 8

Issue (2) : 223-235 https://doi.org/10.1007/s42524-020-0103-7

REVIEW ARTICLE

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

Kangzhou WANG¹(

), Zhibin JIANG², Bo PENG¹, Hui JING¹

¹. School of Management, Lanzhou University, Lanzhou 730000, China
². Antai School of Economics and Management, Shanghai Jiao Tong University, Shanghai 200240, China

Download: PDF(528 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

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

Corresponding Author(s): Kangzhou WANG

Just Accepted Date: 19 March 2020 Online First Date: 09 April 2020 Issue Date: 25 March 2021

Cite this article:

Kangzhou WANG,Zhibin JIANG,Bo PENG, et al. Servitization of manufacturing in the new ICTs era: A survey on operations management[J]. Front. Eng, 2021, 8(2): 223-235.

URL:

https://academic.hep.com.cn/fem/EN/10.1007/s42524-020-0103-7
https://academic.hep.com.cn/fem/EN/Y2021/V8/I2/223

Fig.1 MS value chain.

Fig.2 MS value chain in the era of new ICTs (the yellow parts denote new activities realized by the new ICTs, whereas the blue parts denote original activities realized by the new ways of implementation).

1	E Acar, A J Lawaetz, M A Rasmussen, R Bro (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	S Agnihothri, N Sivasubramaniam, D Simmons (2002). Leveraging technology to improve field service. International Journal of Service Industry Management, 13(1): 47–68 https://doi.org/10.1108/09564230210421155
3	V V Agrawal, I Bellos (2017). The potential of servicizing as a green business model. Management Science, 63(5): 1545–1562 https://doi.org/10.1287/mnsc.2015.2399
4	A Alelaiwi (2017). A collaborative resource management for big IoT data processing in Cloud. Cluster Computing, 20(2): 1791–1799 https://doi.org/10.1007/s10586-017-0839-y
5	J Appavoo, K Hui, C A N Soules, R W Wisniewski, D M Da Silva, O Krieger, M A Auslander, D J Edelsohn, B Gamsa, G R Ganger, P McKenney, M Ostrowski, B Rosenburg, M Stumm, J Xenidis (2003). Enabling autonomic behavior in systems software with hot swapping. IBM Systems Journal, 42(1): 60–76 https://doi.org/10.1147/sj.421.0060
6	V Babich, G Hilary (2020). Distributed ledgers and operations: What operations management researchers should know about blockchain technology. Manufacturing & Service Operations Management, 22(2): 223–240
7	J Bai, S Fang, H Peng, R Tang (2017). BOSS modeling method for cloud manufacturing services normalization. Computer Integrated Manufacturing Systems, 23(10): 2279–2290 (in Chinese)
8	L Batista, S Davis-Poynter, I Ng, R Maull (2017). Servitization through outcome-based contract—A systems perspective from the defence industry. International Journal of Production Economics, 192: 133–143 https://doi.org/10.1016/j.ijpe.2016.12.005
9	D Bertsimas, S Gupta, G Lulli (2014). Dynamic resource allocation: A flexible and tractable modeling framework. European Journal of Operational Research, 236(1): 14–26 https://doi.org/10.1016/j.ejor.2013.10.063
10	R Buyya, C S Yeo, S Venugopal, J Broberg, I Brandic (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 https://doi.org/10.1016/j.future.2008.12.001
11	W Cao, P Jiang, K Jiang (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 https://doi.org/10.1177/0954405415585255
12	Y Cao, S L Wang, L Kang, C S Li, L Guo (2015). Study on machining service modes and resource selection strategies in cloud manufacturing. International Journal of Advanced Manufacturing Technology, 81(1–4): 597–613 https://doi.org/10.1007/s00170-015-7222-z
13	J H Chen, Y L Wang, L Y Sun (2001). Study on the processes and methods of partner selection in virtual organization. Systems Engineering-Theory & Practice, 21(7): 48–53 (in Chinese)
14	Y Cheng, F Tao, Y Liu, D Zhao, L Zhang, L Xu (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 https://doi.org/10.1177/0954405413492966
15	T M Choi, S W Wallace, Y L Wang (2018). Big data analytics in operations management. Production and Operations Management, 27(10): 1868–1883 https://doi.org/10.1111/poms.12838
16	G Culot, G Orzes, M Sartor (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 https://doi.org/10.1109/EMR.2019.2900652
17	Q Dai, R Zhong, G Q Huang, T Qu, T Zhang, T Luo (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 https://doi.org/10.1080/0951192X.2011.562546
18	Y Dai, S X Zhou, Y F Xu (2012b). Competitive and collaborative quality and warranty management in supply chains. Production and Operations Management, 21(1): 129–144 https://doi.org/10.1111/j.1937-5956.2011.01217.x
19	M N Darghouth, A Chelbi, D Ait-kadi (2015). On reliability improvement of second-hand products. IFAC-PapersOnLine, 48(3): 2158–2163 https://doi.org/10.1016/j.ifacol.2015.06.408
20	A Davies (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	A Davies (2004). Moving base into high-value integrated solutions: A value stream approach. Industrial and Corporate Change, 13(5): 727–756 https://doi.org/10.1093/icc/dth029
22	G W Dickson (1966). An analysis of vendor selection systems and decisions. Journal of Purchasing, 2(1): 5–17 https://doi.org/10.1111/j.1745-493X.1966.tb00818.x
23	A Fuggetta, G P Picco, G Vigna (1998). Understanding code mobility. IEEE Transactions on Software Engineering, 24(5): 342–361 https://doi.org/10.1109/32.685258
24	P Gaiardelli, L Songini, M Morgantini, P Bonesio (2016). Successful product-service strategies and managerial practices: A case study research of the Italian heavy truck assistance networks. Procedia CIRP, 47: 102–107 https://doi.org/10.1016/j.procir.2016.03.213
25	H Gebauer, G J Ren, A Valtakoski, J Reynoso (2012). Service-driven manufacturing: Provision, evolution and financial impact of services in industrial firms. Journal of Service Management, 23(1): 120–136 https://doi.org/10.1108/09564231211209005
26	A Gerasoulis, T Yang (1993). On the granularity and clustering of directed acyclic task graphs. IEEE Transactions on Parallel and Distributed Systems, 4(6): 686–701 https://doi.org/10.1109/71.242154
27	F W Gilbert, J A Young, C R O’Neal (1994). Buyer-seller relationships in just-in-time purchasing environments. Journal of Business Research, 29(2): 111–120 https://doi.org/10.1016/0148-2963(94)90015-9
28	M Godse, S Mulik (2009). An approach for selecting software-as-a-service (SaaS) product. In: 2009 IEEE International Conference on Cloud Computing. Bangalore: IEEE, 155–158
29	R M Greenough, T Grubic (2011). Modelling condition-based maintenance to deliver a service to machine tool users. International Journal of Advanced Manufacturing Technology, 52(9–12): 1117–1132 https://doi.org/10.1007/s00170-010-2760-x
30	X Han, Y Y Wu (2018). Analyzing the pattern of servitization for aviation manufacturing industry: Perspective of rebuilding value chain. China Soft Science, (3): 166–173 (in Chinese)
31	H Hu (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	Y L Hu, Q L Han (2018). Value co-creation of product service system considered efforts of both parties. Computer Integrated Manufacturing Systems, 24(1): 213–223 (in Chinese)
33	B Q Huang, C H Li, F Tao (2014). A chaos control optimal algorithm for QoS-based service composition selection in cloud manufacturing system. Enterprise Information Systems, 8(4): 445–463 https://doi.org/10.1080/17517575.2013.792396
34	H Z Huang, Z J Liu, D N P Murthy (2007). Optimal reliability, warranty and price for new products. IIE Transactions, 39(8): 819–827 https://doi.org/10.1080/07408170601091907
35	Y Huang (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	J Huxtable, D Schaefer (2016). On servitization of the manufacturing industry in the UK. Procedia CIRP, 52(1): 46–51 https://doi.org/10.1016/j.procir.2016.07.042
37	K Izui, Y Murakumo, I Suemitsu, S Nishiwaki, A Noda, T Nagatani (2013). Multiobjective layout optimization of robotic cellular manufacturing systems. Computers & Industrial Engineering, 64(2): 537–544 https://doi.org/10.1016/j.cie.2012.12.003
38	M Johnson, C Mena (2008). Supply chain management for servitised products: A multi-industry case study. International Journal of Production Economics, 114(1): 27–39 https://doi.org/10.1016/j.ijpe.2007.09.011
39	H Kagermann, J Helbig, A Hellinger, W Wahlster (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	Y F Kang, G H Nie, D L Chen, M Fu (2015). Cloud service provider partner selection based on genetic algorithm. Application Research of Computers, 32(1): 26–29, 55 (in Chinese)
41	N Kryvinska, S Kaczor, C Strauss, M Greguš (2014). Servitization—Its raise through information and communication technologies. In: The International Conference on Exploring Services Science. Cham: Springer, 72–81
42	Y J Laili, F Tao, L Zhang, B R Sarker (2012). A study of optimal allocation of computing resources in cloud manufacturing systems. International Journal of Advanced Manufacturing Technology, 63(5–8): 671–690 https://doi.org/10.1007/s00170-012-3939-0
43	J Lartigau, X, Xu L Nie, D Zhan (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 https://doi.org/10.1080/00207543.2015.1005765
44	G Lay (2014). Servitization in Industry. Cham, Switzerland: Springer
45	C Lerch, M Gotsch (2015). Digitalized product-service systems in manufacturing firms: A case study analysis. Research Technology Management, 58(5): 45–52 https://doi.org/10.5437/08956308X5805357
46	B H Li, L Zhang, L Ren, X D Chai, F Tao, Y L Luo, Y Z Wang, C Yin, G Huang, X P Zhao (2011). Further discussion on cloud manufacturing. Computer Integrated Manufacturing Systems, 17(3): 449–457 (in Chinese)
47	C Li, S Wang, L Kang, L Guo, Y Cao (2014). Trust evaluation model of cloud manufacturing service platform. International Journal of Advanced Manufacturing Technology, 75(1–4): 489–501 https://doi.org/10.1007/s00170-014-6112-0
48	H Li, Q C Jiao, X Y Wen, G F Luo, C L Wu (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	J R Li, F Tao, Y Cheng, L J Zhao (2015). Big Data in product lifecycle management. International Journal of Advanced Manufacturing Technology, 81(1–4): 667–684 https://doi.org/10.1007/s00170-015-7151-x
50	J Liang, K S Chin, C Dang, R C Yam (2002). A new method for measuring uncertainty and fuzziness in rough set theory. International Journal of General Systems, 31(4): 331–342 https://doi.org/10.1080/0308107021000013635
51	C H Lim, M J Kim, J Y Heo, K J Kim (2018). Design of informatics-based services in manufacturing industries: Case studies using large vehicle-related databases. Journal of Intelligent Manufacturing, 29(3): 497–508 https://doi.org/10.1007/s10845-015-1123-8
52	F R Lima Junior, L Osiro, L C R Carpinetti (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21: 194–209 https://doi.org/10.1016/j.asoc.2014.03.014
53	T Y Lin, C Yang, C H Zhuang, Y Y Xiao, F Tao, G Q Shi, C Geng (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 https://doi.org/10.1177/0954405415624364
54	S Liu, Y A Hu, Y Y Zhang (2018). Supply chain partner selection under cloud computing environment: An improved approach based on BWM and VIKOR. Mathematical Problems in Engineering, 7012827 https://doi.org/10.1155/2018/7012827
55	Y Liu, Z Liu, Y Wang (2013). Customized warranty offering for configurable products. Reliability Engineering & System Safety, 118: 1–7 https://doi.org/10.1016/j.ress.2013.03.007
56	M Lv, C X Zhou, J S Shi, L Liu (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	D Ma, R J Kauffman (2014). Competition between software-as-a-service vendors. IEEE Transactions on Engineering Management, 61(4): 717–729 https://doi.org/10.1109/TEM.2014.2332633
58	H F Ma, S Wei (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	P Matthyssens, K Vandenbempt (2010). Service addition as business market strategy: Identification of transition trajectories. Journal of Service Management, 21(5): 693–714 https://doi.org/10.1108/09564231011079101
60	R Maull, A Smart, L Liang (2014). A process model of product service supply chains. Production Planning and Control, 25(13–14): 1091–1106 https://doi.org/10.1080/09537287.2013.808840
61	H Meier, R Roy, G Seliger (2010). Industrial product-service systems—IPS2. CIRP Annals, 59(2): 607–627 https://doi.org/10.1016/j.cirp.2010.05.004
62	W Meng, S Li, G Yang, Z Wei (2015). Reputation-based multi-dimensional trust model in cloud manufacturing service platform. Multiagent & Grid Systems, 10(4): 233–246 https://doi.org/10.3233/MGS-140225
63	K Momeni, M Martinsuo (2018). Remote monitoring in industrial services: Need-to-have instead of nice-to-have. Journal of Business and Industrial Marketing, 33(6): 792–803 https://doi.org/10.1108/JBIM-10-2015-0187
64	A Muller, A Crespo Marquez, B Iung (2008). On the concept of e-maintenance: Review and current research. Reliability Engineering & System Safety, 93(8): 1165–1187 https://doi.org/10.1016/j.ress.2007.08.006
65	A Neely (2008). Exploring the financial consequences of the servitization of manufacturing. Operations Management Research, 1(2): 103–118 https://doi.org/10.1007/s12063-009-0015-5
66	J Neuhüttler, W Ganz, D Spath (2019). An integrative quality framework for developing industrial smart services. Service Science, 11(3): 157–171 https://doi.org/10.1287/serv.2019.0242
67	H T Nguyen, S Z Md Dawal, Y Nukman, H Aoyama, K Case (2015). An integrated approach of fuzzy linguistic preference based AHP and fuzzy COPRAS for machine tool evaluation. PLoS One, 10(9): e0133599 https://doi.org/10.1371/journal.pone.0133599 pmid: 26368541
68	G H Nie, Q P She, D L Chen (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	S Niu, S Ong, A Nee (2012). An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises. International Journal of Production Research, 50(8): 2286–2303 https://doi.org/10.1080/00207543.2011.578158
70	T L Olsen, B Tomlin (2019). Industry 4.0: Opportunities and challenges for operations management. Manufacturing & Service Operations Management, 22(1): 113–122
71	K B Öner, G P Kiesmüller, G J van Houtum (2015). On the upgrading policy after the redesign of a component for reliability improvement. European Journal of Operational Research, 244(3): 867–880 https://doi.org/10.1016/j.ejor.2015.02.007
72	D Opresnik, M Taisch (2015). The value of big data in servitization. International Journal of Production Economics, 165: 174–184 https://doi.org/10.1016/j.ijpe.2014.12.036
73	A Örsdemir, V Deshpande, A K Parlaktürk (2019). Is servicization a win-win strategy? Profitability and environmental implications of servicization. Manufacturing & Service Operations Management, 21(3): 674–691 https://doi.org/10.1287/msom.2018.0718
74	A L Ostrom, M J Bitner, S W Brown, K A Burkhard, M Goul, V Smith-Daniels, H Demirkan, E Rabinovich (2010). Moving forward and making a difference: Research priorities for the science of service. Journal of Service Research, 13(1): 4–36 https://doi.org/10.1177/1094670509357611
75	M Passacantando, D Ardagna, A Savi (2016). Service provisioning problem in cloud and multi-cloud systems. INFORMS Journal on Computing, 28(2): 265–277 https://doi.org/10.1287/ijoc.2015.0681
76	A Persona, A Regattieri, H Pham, D Battini (2007). Remote control and maintenance outsourcing networks and its applications in supply chain management. Journal of Operations Management, 25(6): 1275–1291 https://doi.org/10.1016/j.jom.2007.01.018
77	M E Porter (1985). Competitive Advantage of Nations: Creating and Sustaining Superior Performance. New York: The Free Press
78	X W Qiu, Y S Dai, Y P Xiang, L D Xing (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 https://doi.org/10.1109/TSMC.2015.2452898
79	R Rabetino, M Kohtamaki, H Gebauer (2017). Strategy map of servitization. International Journal of Production Economics, 192: 144–156 https://doi.org/10.1016/j.ijpe.2016.11.004
80	W Reinartz, W Ulaga (2008). How to sell services more profitably. Harvard Business Review, 86(5): 90–96 pmid: 18543811
81	A Rymaszewska, P Helo, A Gunasekaran (2017). IoT powered servitization of manufacturing—An exploratory case study. International Journal of Production Economics, 192: 92–105 https://doi.org/10.1016/j.ijpe.2017.02.016
82	F Sahin, E Powell Robinson, L L Gao (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 https://doi.org/10.1016/j.ijpe.2008.05.019
83	N R Sanders, R Ganeshan (2018). Big data in supply chain management. Production and Operations Management, 27(10): 1745–1748 https://doi.org/10.1111/poms.12892
84	A Schroeder, J Kotlarsky (2015). Digital resources and their role in advanced service provision: A VRIN analysis. In: Proceedings of the Spring Servitization Conference (SSC2015). Birmingham
85	B Selçuk, S Ağralı (2013). Joint spare parts inventory and reliability decisions under a service constraint. Journal of the Operational Research Society, 64(3): 446–458 https://doi.org/10.1057/jors.2012.38
86	M Shafiee, S Chukova, W Y Yun, S T A Niaki (2011). On the investment in a reliability improvement program for warranted second-hand items. IIE Transactions, 43(7): 525–534 https://doi.org/10.1080/0740817X.2010.540638
87	J Shin, M Jo, J Lee, D Lee (2014). Strategic management of cloud computing services: Focusing on consumer adoption behavior. IEEE Transactions on Engineering Management, 61(3): 419–427 https://doi.org/10.1109/TEM.2013.2295829
88	Y Y Shou, W J Wang, D Slepniov (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	K Singhal, Q Feng, R Ganeshan, N R Sanders, J G Shanthikumar (2018). Introduction to the special issue on perspectives on big data. Production and Operations Management, 27(9): 1639–1641 https://doi.org/10.1111/poms.12939
90	R Sivakumar, D Kannan, P Murugesan (2015). Green vendor evaluation and selection using AHP and Taguchi loss functions in production outsourcing in mining industry. Resources Policy, 46: 64–75 https://doi.org/10.1016/j.resourpol.2014.03.008
91	M Spring, L Araujo (2013). Beyond the service factory: Service innovation in manufacturing supply networks. Industrial Marketing Management, 42(1): 59–70 https://doi.org/10.1016/j.indmarman.2012.11.006
92	C Y Su, S J Chen, L Lin (2003). A structured approach to measuring functional dependency and sequencing of coupled tasks in engineering design. Computers & Industrial Engineering, 45(1): 195–214 https://doi.org/10.1016/S0360-8352(03)00031-7
93	N Sultan (2014). Servitization of the IT industry: The cloud phenomenon. Strategic Change, 23(5–6): 375–388 https://doi.org/10.1002/jsc.1983
94	S Talluri, R C Baker (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	F Tao, Q L Qi (2019). New IT driven service-oriented smart manufacturing: Framework and characteristics. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(1): 81–91 https://doi.org/10.1109/TSMC.2017.2723764
96	F Tao, L Zhang, H Guo, Y L Luo, L Ren (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	M Toloo, S Nalchigar (2011). A new DEA method for supplier selection in presence of both cardinal and ordinal data. Expert Systems with Applications, 38(12): 14726–14731 https://doi.org/10.1016/j.eswa.2011.05.008
98	P Tormos, A Lova (2001). Tools for resource-constrained project scheduling and control: Forward and backward slack analysis. Journal of the Operational Research Society, 52(7): 779–788 https://doi.org/10.1057/palgrave.jors.2601145
99	S Verstrepen, D Deschoolmeester, R J van den Berg (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	S Vinodh, R Anesh Ramiya, S Gautham (2011). Application of fuzzy analytic network process for supplier selection in a manufacturing organisation. Expert Systems with Applications, 38(1): 272–280 https://doi.org/10.1016/j.eswa.2010.06.057
101	K Z Wang, B Peng, Z B Jiang (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	W Y Wang, Y C Jiang, W W Wu (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	Y Wang, Z Liu, Y Liu (2015). Optimal preventive maintenance strategy for repairable items under two-dimensional warranty. Reliability Engineering & System Safety, 142: 326–333 https://doi.org/10.1016/j.ress.2015.06.003
104	C A Weber, J R Current, W Benton (1991). Vendor selection criteria and methods. European Journal of Operational Research, 50(1): 2–18 https://doi.org/10.1016/0377-2217(91)90033-R
105	D Y Wen, G P Xia (2010). Selection of cooperative partners in virtual organizations based on cloud model. Industrial Engineering Journal, 13(5): 29–34 (in Chinese)
106	Q W Wu, Q S Zhu, M Q Zhou (2014). A correlation-driven optimal service selection approach for virtual enterprise establishment. Journal of Intelligent Manufacturing, 25(6): 1441–1453 https://doi.org/10.1007/s10845-013-0751-0
107	Y Q Wu, F Z He, D J Zhang, X X Li (2018). Service-oriented feature-based data exchange for cloud-based design and manufacturing. IEEE Transactions on Services Computing, 11(2): 341–353 https://doi.org/10.1109/TSC.2015.2501981
108	W Xu, L Shao, B Yao, Z Zhou, D T Pham (2016). Perception data-driven optimization of manufacturing equipment service scheduling in sustainable manufacturing. Journal of Manufacturing Systems, 41: 86–101 https://doi.org/10.1016/j.jmsy.2016.08.001
109	X Xu (2012). From cloud computing to cloud manufacturing. Robotics and Computer-Integrated Manufacturing, 28(1): 75–86 https://doi.org/10.1016/j.rcim.2011.07.002
110	Y Xu, Y Landon, S Segonds, Y Zhang (2017). A decision support model in mass customization. Computers & Industrial Engineering, 114: 11–21 https://doi.org/10.1016/j.cie.2017.09.046
111	S Yang, J Wang, L Shi, Y Tan, F Qiao (2018). Engineering management for high-end equipment intelligent manufacturing. Frontiers of Engineering Management, 5(4): 420–450 https://doi.org/10.15302/J-FEM-2018050
112	J M Yao, L W Liu (2009). Optimization analysis of supply chain scheduling in mass customization. International Journal of Production Economics, 117(1): 197–211 https://doi.org/10.1016/j.ijpe.2008.10.008
113	J M Yao (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 https://doi.org/10.1080/00207543.2012.709645
114	X X Zhang (2011). Study on the three-stage model and methods of partner selection for virtual enterprise. Management Review, 23(3): 107–111 (in Chinese)
115	Y F Zhang, S Ren, Y Liu, T Sakao, D Huisingh (2017a). A framework for Big Data driven product lifecycle management. Journal of Cleaner Production, 159: 229–240 https://doi.org/10.1016/j.jclepro.2017.04.172
116	Y F Zhang, S Ren, Y Liu, S B Si (2017b). A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products. Journal of Cleaner Production, 142: 626–641 https://doi.org/10.1016/j.jclepro.2016.07.123
117	Y W Zhang, Z W Ni, J Song, L Wang (2011). Model of partner selection for dynamic virtual enterprise under the environment of cloud computing. Computer Science, 38(7): 212–215 (in Chinese)
118	S Zhao, L Chen, H Yao, Y Zhang, X Sun (2015). Strategy for dynamic 3D depth data matching towards robust action retrieval. Neurocomputing, 151: 533–543 https://doi.org/10.1016/j.neucom.2014.03.092
119	R Y Zhong, S L Lan, C Xu, Q Y Dai, G Q Huang (2016). Visualization of RFID-enabled shopfloor logistics big data in cloud manufacturing. International Journal of Advanced Manufacturing Technology, 84(1–4): 5–16 https://doi.org/10.1007/s00170-015-7702-1
120	Z D Zhou, W J Xu, D T Pham, C Ji (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	P U Zine, M S Kulkarni, R Chawla, A K Ray (2014). A framework for value co-creation through customization and personalization in the context of machine tool PSS. Procedia CIRP, 16(1): 32–37 https://doi.org/10.1016/j.procir.2014.01.005

[1]	Xinzheng LU, Qingle CHENG, Zhen XU, Chen XIONG. Regional seismic-damage prediction of buildings under mainshock–aftershock sequence[J]. Front. Eng, 2021, 8(1): 122-134.
[2]	Gjorgji SHEMOV, Borja GARCIA de SOTO, Hoda ALKHZAIMI. Blockchain applied to the construction supply chain: A case study with threat model[J]. Front. Eng, 2020, 7(4): 564-577.
[3]	Algan TEZEL, Eleni PAPADONIKOLAKI, Ibrahim YITMEN, Per HILLETOFTH. Preparing construction supply chains for blockchain technology: An investigation of its potential and future directions[J]. Front. Eng, 2020, 7(4): 547-563.
[4]	Jian LI, Shichao ZHU, Wen ZHANG, Lean YU. Blockchain-driven supply chain finance solution for small and medium enterprises[J]. Front. Eng, 2020, 7(4): 500-511.
[5]	Moulay Larbi CHALAL, Benachir MEDJDOUB, Nacer BEZAI, Raid SHRAHILY. Big Data to support sustainable urban energy planning: The EvoEnergy project[J]. Front. Eng, 2020, 7(2): 287-300.
[6]	Zhisong CHEN, Li FANG, Huimin WANG. Internal incentives and operations strategies for the water-saving supply chain with cap-and-trade regulation[J]. Front. Eng, 2019, 6(1): 87-101.
[7]	Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN. Product decomposition strategy for optimization of supply chain planning[J]. Front. Eng, 2018, 5(4): 466-478.
[8]	Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW. A case study on sample average approximation method for stochastic supply chain network design problem[J]. Front. Eng, 2017, 4(3): 338-347.
[9]	Braulio BRUNAUD, Ignacio E. GROSSMANN. Perspectives in multilevel decision-making in the process industry[J]. Front. Eng, 2017, 4(3): 256-270.
[10]	Jun WANG, Peng WU, Xiangyu WANG, Wenchi SHOU. The outlook of blockchain technology for construction engineering management[J]. Front. Eng, 2017, 4(1): 67-75.
[11]	Li Da Xu. An Internet-of-Things Initiative for One Belt One Road (OBOR)[J]. Front. Eng, 2016, 3(3): 206-223.
[12]	Xiao-qiu Shi,Yan-yan Li,Wei Long. The Integration Model of Closed-Loop Supply Chain Resource Allocation Considering Remanufacturing[J]. Front. Eng, 2016, 3(2): 132-135.
[13]	Guang-she Jia,Song-yu Yan,Wen-jun Wang,Ralf Müller,Chen Lin. An Empirical Study on the Generation Mechanism of NIMBY Conflicts of Construction Projects[J]. Front. Eng, 2016, 3(1): 39-49.
[14]	Dong-bin Hu,Chen-xi Xiao,Xiao-hong Chen. Carbon Quotas, Subsidies and Engineering Machinery Remanufacturing[J]. Front. Eng, 2016, 3(1): 50-58.
[15]	Fu-qiang Wang,Jun Liu. The Supply Chain Contract Design under Cap-and-Trade Mechanism with Free Riding[J]. Front. Eng, 2015, 2(3): 277-286.

Viewed

Full text

Abstract

Cited

Shared

Discussed