Abstract
Market disruptions and changes make the assessment process of supply chain performance more complex. Hence, the implementation of key indicators to evaluate the ability of the supply chain to cope with these disruptions has received increasing attention. Reconfigurability provide the ability to quickly change supply chain structure and functions by increasing its responsiveness and flexibility to deal with disruptions. This paper aims to analyze the contributions of researchers in the field of performance evaluation under supply chain disruption. A bibliometric analysis is conducted to identify publications dealing with performance evaluation under supply chain disruption field. The analysis started with the selection of articles using the following keywords (Reconfigurability, Evaluation, Supply Chain). Then, the selected articles were analyzed based on the criteria of the bibliometric analysis. The paper aims to capture the current research and potential research related to the evaluation of performance in reconfigurable supply chain under disruption.
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References
Zidi, S., Hamani, N., Kermad, L.: Proposition d’une approche de reconfiguration des processus métiers de la chaîne logistique, vol. 2. Génie industriel et productique (2019)
Zidi, H., Hamani, N., Laajili, C., Benaissa, M.: A reconfiguration approach for a supply chain tracking platform. Int. J. Shipping Transp. Logistics (2021, in press). Inderscience Editor. https://doi.org/10.1504/IJSTL.2021.10037168
Chandra, C., Grabis, J.: Supply Chain Configuration. Springer, New York (2016). https://doi.org/10.1007/978-1-4939-3557-4
Dolgui, A., Ivanov, D., Sokolov, B.: Reconfigurable supply chain: the X-network. Int. J. Prod. Res. 58, 4138–4163 (2020)
Zidi, S., Hamani, N., Kermad, L.: New metrics for measuring supply chain reconfigurability. J. Intell. Manuf. (2021). https://doi.org/10.1007/s10845-021-01798-9
Bin Ma, Xia, L.X.X., Lim, R.: Modeling supply chain’s reconfigurability using fuzzy logic. In: 2007 IEEE Conference on Emerging Technologies and Factory Automation, EFTA 2007, Patras, pp. 234–241. IEEE (2007)
Napoleone, A., Pozzetti, A., Macchi, M.: Core characteristics of reconfigurability and their influencing elements. IFAC-PapersOnLine 51, 116–121 (2018)
Wiendahl, H.P., Heger, C.L.: Justifying changeability. A methodical approach to achieving cost effectiveness. J. Manuf. Sci. Prod. 6(1–2), 33–40 (2004). https://doi.org/10.1515/IJMSP.2004.6.1-2.33
Koren, Y., Shpitalni, M.: Design of reconfigurable manufacturing systems. J. Manuf. Syst. 29, 130–141 (2010)
Napoleone, A., Pozzetti, A., Macchi, M.: A framework to manage reconfigurability in manufacturing. Int. J. Prod. Res. 56, 3815–3837 (2018)
Vanderhaeghe, A., De Treville, S.: How to fail at flexibility. Supply Chain Forum Int. J. 4, 64–73 (2003)
Bellis, N.D.: Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics. Scarecrow Press (2009)
Ding, Y., Chowdhury, G.G., Foo, S.: Bibliometric cartography of information retrieval research by using co-word analysis. Inf. Process. Manage. 37, 817–842 (2001)
Godin, B.: On the origins of bibliometrics. Scientometrics 68, 109–133 (2006)
Merigó, J.M., Muller, C., Modak, N.M., Laengle, S.: Research in production and operations management: a university-based bibliometric analysis. Glob. J. Flex. Syst. Manag. 20(1), 1–29 (2018). https://doi.org/10.1007/s40171-018-0201-0
Pourkhani, A., Abdipour, K., Baher, B., Moslehpour, M.: The impact of social media in business growth and performance: a scientometrics analysis. Int. J. Data Netw. Sci. 3, 223–244 (2019)
Pritchard, A.: Statistical bibliography or bibliometrics? J. Documentation 25, 348–349 (1969)
Garfield, E., Malin, M.V., Small, H.: Citation data as science indicators (1978)
Ellegaard, O., Wallin, J.A.: The bibliometric analysis of scholarly production: how great is the impact? Scientometrics 105(3), 1809–1831 (2015). https://doi.org/10.1007/s11192-015-1645-z
Wang, Q., Su, M.: Integrating blockchain technology into the energy sector—from theory of blockchain to research and application of energy blockchain. Comput. Sci. Rev. 37, 100275 (2020)
Elsevier: About | Elsevier Scopus Blog. https://blog.scopus.com/about
Niemann, J., Seisenberger, S., Schlegel, A., Putz, M.: Development of a method to increase flexibility and changeability of supply contracts in the automotive industry. Procedia CIRP 81, 258–263 (2019)
Wiendahl, H.-P., et al.: Changeable manufacturing - classification, design and operation. CIRP Ann. 56, 783–809 (2007)
Francalanza, E., Borg, J., Constantinescu, C.: Deriving a systematic approach to changeable manufacturing system design. Procedia CIRP 17, 166–171 (2014)
Durach, C., Wieland, A., Machuca, J.: Antecedents and dimensions of supply chain robustness: a systematic literature review. Int. J. Phys. Distrib. Logistics Manag. 45, 118–137 (2015)
Zhang, W.J., van Luttervelt, C.A.: Toward a resilient manufacturing system. CIRP Ann. 60, 469–472 (2011)
Zhang, W.J., Lin, Y.: On the principle of design of resilient systems–application to enterprise information systems. Enterp. Inf. Syst. 4, 99–110 (2010)
Brandon-Jones, E., Squire, B., Autry, C.W., Petersen, K.J.: A contingent resource-based perspective of supply chain resilience and robustness. J. Supply Chain Manag. 50, 55–73 (2014)
Ha, C., Jun, H.-B., Ok, C.: A mathematical definition and basic structures for supply chain reliability: a procurement capability perspective. Comput. Ind. Eng. 120, 334–345 (2018). https://doi.org/10.1016/j.cie.2018.04.036
Miao, X., Yu, B., Xi, B.: The uncertainty evaluation method of supply chain reliability. Transport 24, 296–300 (2009)
Mittal, K.K., Jain, P.K.: An overview of performance measures in reconfigurable manufacturing system. Procedia Eng. 69, 1125–1129 (2014)
Zhong, Y.: Flexibility assessment and management in supply chain : a new framework and applications (2015)
Kumar, V., Fantazy, K.A., Kumar, U., Boyle, T.A.: Implementation and management framework for supply chain flexibility. J. Enterp. Inf. Manag. 19, 303–319 (2006)
Wadhwa, S., Ducq, Y., Saxena, A., Prakash, A.: Supply chain as a flexible system: a KM focused competence. Glob. J. Flex. Syst. Manag. 9(2–3), 15–30 (2008). https://doi.org/10.1007/BF03396540
Tachizawa, E.M., Gimenez, C.: Supply flexibility strategies in Spanish firms: results from a survey. Int. J. Prod. Econ. 124, 214–224 (2010)
Lee, H.L.: The Triple-A Supply Chain, the-triple-a-supply-chain (2004)
Swafford, P.M., Ghosh, S., Murthy, N.: Achieving supply chain agility through IT integration and flexibility. Int. J. Prod. Econ. 116, 288–297 (2008)
Dwayne Whitten, G., Green, K.W., Zelbst, P.J.: Triple-A supply chain performance. Int. J. Oper. Prod. Manag. 32, 28–48 (2012)
Green Jr., K.W., Whitten, D., Inman, R.A.: The impact of timely information on organisational performance in a supply chain. Prod. Plan. Control 18, 274–282 (2007)
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Zidi, S., Hamani, N., Kermad, L. (2021). Reconfigurable Supply Chain Performance: A Bibliometric Analysis. In: Camarinha-Matos, L.M., Boucher, X., Afsarmanesh, H. (eds) Smart and Sustainable Collaborative Networks 4.0. PRO-VE 2021. IFIP Advances in Information and Communication Technology, vol 629. Springer, Cham. https://doi.org/10.1007/978-3-030-85969-5_14
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