Ministerio de Ciencia e Innovación DPI201680750

Cannella, Salvatore

Dominguez, Roberto

Framinan, Jose M.

Ponte, Borja

Complexity

English

Salvatore Cannella

Roberto Dominguez

Jose M. Framinan

Borja Ponte

Directory of Open Access Journals

Evolving Trends in Supply Chain Management: Complexity, New Technologies, and Innovative Methodological Approaches

Domínguez Cañizares, Roberto

Framiñán Torres, José Manuel

idUS. Depósito de Investigación Universidad de Sevilla

EditorialEvolving Trends in Supply Chain Management: Complexity, NewTechnologies, and Innovative Methodological ApproachesSalvatore Cannella ,1,2 Roberto Dominguez ,2 Jose M. Framinan ,2 and Borja Ponte31DICAR, University of Catania, Catania, Italy2Industrial Management & Business Administration Department, University of Seville, Seville, Spain3Department for People and Organisations, The Open University, Milton Keynes, UKCorrespondence should be addressed to Salvatore Cannella; cannella@unict.itReceived 29 March 2018; Accepted 29 March 2018; Published 26 June 2018Copyright © 2018 Salvatore Cannella et al. This is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited.Supply chainmanagement has becomeone of the primary keysuccess factors to deal with the increasing complexity of thecurrent business environment [1, 2]. Although supply chainmanagement is a mature discipline, the complexity of actualsupply chains has greatly evolved over the last twodecades [3–5] due to the dynamic interaction of awide range of processes,decisions, and structures, whose understanding becomesessential for gaining a competitive advantage in the market-place. Indeed, most supply chain management research hasfocused on the assumption of linear relationships betweennodes buyers and suppliers. However, these supply chains areno longer linear systems, but are characterized by networkstructures with autonomous and heterogeneous members[6]. As a result, the Operations Management communityis currently rethinking on celebrated concepts and largelyaccepted ideas, with the aim of developing new theory thatbetter captures the requirements of this organizational scene.New technologies have also played a key role in theaforementioned evolution of supply chains [7]. Continu-ous technological developments, such as augmented reality,direct digital manufacturing, warehouse automation, and3D printing [8, 9]—to name a few—open a new world ofopportunities from a supply chain perspective. These newtechnologies not only allow increasing the efficiency and flex-ibility of manufacturing and distribution processes, but alsomodify the relationship between the different echelons of thesupply chain, with a special emphasis on the consumer. Forthis reason, the use of these technologies has been deemed asone of the key tools for firms to enhance their competitivenessand to build up their relationships with up- and downstreamsupply chain nodes. Accordingly, the applications of thesetechnologies for supply chain management have become afruitful area of research, given its clear and strongmanagerialimplications.Overall, all these opportunities and challenges cur-rently emerging emphasize the need for fostering innovativemethodological approaches in supply chain research [10].Decision-makers need to be equipped with methodologicalframeworks that enable them to gain understanding on thedifferent problems and to facilitate the finding of robustsolutions. In this regard, several methodological approaches,such as agent-based modelling and fuzzy control systems,have proven to be instrumental laboratories for supplychain analysis and decision-making [11, 12]. In this man-ner, methodology, together with complexity and technology,becomes the third strategic axis of this special issue aimedat disseminating emerging developments in the supply chainarea.Reflecting on these three axes, this special issue bringstogether five high quality research works exploring the newchallenges and proposing new solutions for modern supplychains. We note that each submission was evaluated througha blind-review process, where at least two reviewers, whoare experts in their corresponding fields, have assessed thequality of the article. As guest editors, we are very satisfiedwith the quality of the papers presented in this issue, whichHindawiComplexityVolume 2018, Article ID 7916849, 3 pageshttps://doi.org/10.1155/2018/79168492 Complexitycontribute to the body of knowledge in this crucial topicfor businesses from the three mentioned axes. We brieflydescribe their contributions below.Z. Chen, in his paper “The Influence of 3D Printing onGlobal Container Multimodal Transport System,” evaluatesthe impact of 3D printing on a container logistics system bydeveloping a system dynamics model of a sneakers’ supplychain and establishing a comprehensive index system. Theauthor finds that the aggregate demand for internationaltransport would decline after the application of 3D printing.In addition, the evaluations based on the data of Guangzhouport suggest that the 3D printing of sneakers was not enoughto subvert the existing container logistics system. Finally,this research paper concludes that deglobalization caused by3D printing and globalization strengthening caused by tradecooperation will work together in this container system andlead to more complex changes.Another work explores the practice of inventory consign-ment, an arrangement where the retailer holds items in itsinventory which are still owned by the supplier, as a fruitfulmechanism for supply chain collaboration. While the oppor-tunities derived from consignment are well known in termsof supply chain efficiency, it does not come without relevantchallenges to be dealt with. In this regard, establishing a fairand robust pricing agreement becomes essential to ensurethe long-term viability of this collaborative solution. In lightof this, P.-Y. Chen, in the paper entitled “Optimal RetailPrice Model for Partial Consignment to Multiple Retailers,”explores the product pricing decision in a supply chainwith one supplier and multiple retailers operating undera consignment stock policy. This work proposes a partialproduct consignment model, where both the seller and thebuyers absorb a portion of the inventory costs. Moreover, arelevant feature of this work is a valuable range of managerialimplications, which would allow decision-makers to adjustproduct prices depending on the market fluctuations andsales requirements.The article “Discrete Switched Model and Fuzzy RobustControl of Dynamic Supply Chain Network,” by S. Zhanget al., investigates a fuzzy robust strategy to accomplish therobust operation of supply chain networks. They considerboth production and ordering lead times in a scenariocharacterized by uncertainty in customer demand. To doso, the authors establish a discrete switched model of thedynamic supply chain network based on Takagi-Sugeno (T-S) fuzzy systems and propose a fuzzy strategy to control theswitching actions among subsystems. From this perspective,they show how the proposed fuzzy strategy (consisting of thefuzzy switched strategy and the fuzzy control strategy) canguarantee the robust operation of the supply chain networkin a cost-effective manner.I. Cabral and A. Grilo, in their research “Impact ofBusiness Interoperability on the Performance of ComplexCooperative Supply Chain Networks,” propose an agent-based model for evaluating the effect of business interop-erability on the performance of cooperative supply chainnetworks. After rigorously identifying specific and relevantgaps in the business interoperability literature, they addressthis question by adopting a multimethod approach whichcombines empirical data and simulation. More specifically,they first collect data via face-to-face interviews and byanalysing the annual reports and newsletters of Valorpneu,which is one of the industrial networks with the best businessinteroperability performance in Portugal. Later, they popu-late the agent-based model with these data and perform a“what-if” analysis. As a result, they reveal novel conclusionsfor the business interoperability field by accurately formal-ising both theoretical and managerial implications. Finally,they propose interesting new research questions for furtheranalysis in other business network contexts (e.g., automotiveand aircraft industries).D. A. O. Vera et al., in their article “Combined Useof Mathematical Optimization and Design of Experimentsfor the Maximization of Profit in a Four-Echelon SupplyChain,” propose and employ an innovative methodologicalapproach for designing supply chain networks based on thecombination ofmathematical optimization and experimentaldesigns. Through these techniques, they address the locationof manufacturing facilities and distribution centres, theselection of the appropriate suppliers, and the allocationof the material flow in a four-echelon supply chain. Toillustrate their proposal, they evaluate the impact of fourmain factors (capacity, quality, delivery time, and interestrate) on the operational and financial performance in acase study, showing how this methodological frameworkallows practitioners to gain understanding on the complexinterdependencies that govern the dynamics of supply chains.AcknowledgmentsWe acknowledge the financial support from the ItalianMinistry of Education, University and Research (throughthe Rita Levi Montalcini program), the University of Seville(through the V PPIT-US plan), and the Spanish Ministry ofScience and Innovation (under the project PROMISE withReference DPI201680750P).Salvatore CannellaRoberto DominguezJose M. FraminanBorja PonteReferences[1] I. Manuj and F. Sahin, “A model of supply chain and supplychain decision-making complexity,” International Journal ofPhysical Distribution and Logistics Management, vol. 41, no. 5,pp. 511–549, 2011.[2] S. Serdarasan, “A review of supply chain complexity drivers,”Computers & Industrial Engineering, vol. 66, no. 3, pp. 533–540,2013.[3] A´. Ba´nyai, T. Ba´nyai, and B. Ille´s, “Optimization ofconsignment-store-based supply chain with black holealgorithm,” Complexity, vol. 2017, Article ID 6038973, 12 pages,2017.[4] S. Cannella, R. Dominguez, and J. M. Framinan, “Inventoryrecord inaccuracy—the impact of structural complexity andlead time variability,” OMEGA—The International Journal ofManagement Science, vol. 68, pp. 123–138, 2017.Complexity 3[5] V. Modrak and Z. Soltysova, “Novel complexity indicator ofmanufacturing process chains and its relations to indirect com-plexity indicators,” Complexity, vol. 2017, Article ID 9102824, 15pages, 2017.[6] R. Dominguez, S. Cannella, A. P. Barbosa-Po´voa, and J. M.Framinan, “Information sharing in supply chains with het-erogeneous retailers,” OMEGA—The International Journal ofManagement Science, 2017.[7] D. Cozmiuc and I. Petrisor, “Industrie 4.0 by Siemens: stepsmade today,” Journal of Cases on Information Technology, vol.20, no. 2, pp. 30–48, 2018.[8] M. Despeisse, M. Baumers, P. Brown et al., “Unlocking value fora circular economy through 3D printing: A research agenda,”Technological Forecasting & Social Change, vol. 115, pp. 75–84,2017.[9] D. G. Schniederjans, “Adoption of 3D-printing technologiesin manufacturing: a survey analysis,” International Journal ofProduction Economics, vol. 183, pp. 287–298, 2017.[10] J. S. Arlbjørn andA. Paulraj, “Special topic forum on innovationin business networks from a supply chain perspective: currentstatus and opportunities for future research,” Journal of SupplyChain Management, vol. 49, no. 4, pp. 3–11, 2013.[11] D. C. Chatfield, T. P. Harrison, and J. C. Hayya, “SISCO:an object-oriented supply chain simulation system,” DecisionSupport Systems, vol. 42, no. 1, pp. 422–434, 2006.[12] J. Costas, B. Ponte, D. de la Fuente, R. Pino, and J. Puche,“Applying goldratt’s theory of constraints to reduce the bullwhipeffect through agent-based modeling,” Expert Systems withApplications, vol. 42, no. 4, pp. 2049–2060, 2015.Hindawiwww.hindawi.com Volume 2018MathematicsJournal ofHindawiwww.hindawi.com Volume 2018Mathematical Problems in EngineeringApplied MathematicsJournal ofHindawiwww.hindawi.com Volume 2018Probability and StatisticsHindawiwww.hindawi.com Volume 2018Journal ofHindawiwww.hindawi.com Volume 2018Mathematical PhysicsAdvances inComplex AnalysisJournal ofHindawiwww.hindawi.com Volume 2018OptimizationJournal ofHindawiwww.hindawi.com Volume 2018Hindawiwww.hindawi.com Volume 2018Engineering   MathematicsInternational Journal ofHindawiwww.hindawi.com Volume 2018Operations ResearchAdvances inJournal ofHindawiwww.hindawi.com Volume 2018Function SpacesAbstract and Applied AnalysisHindawiwww.hindawi.com Volume 2018International Journal of Mathematics and Mathematical SciencesHindawiwww.hindawi.com Volume 2018Hindawi Publishing Corporation http://www.hindawi.com Volume 2013www.hindawi.comThe Scientific World Journal8Hindawiwww.hindawi.com Volume 2018Numerical AnalysisAdvances in Discrete Dynamics in Nature and SocietyHindawiwww.hindawi.com Volume 2018Hindawiwww.hindawi.comDierential EquationsInternational Journal ofVolume 2018Hindawiwww.hindawi.com Volume 2018Decision SciencesAdvances inHindawiwww.hindawi.com Volume 2018AnalysisInternational Journal ofHindawiwww.hindawi.com Volume 2018Stochastic AnalysisInternational Journal ofSubmit your manuscripts atwww.hindawi.com

Evolving Trends in Supply Chain Management: Complexity, New Technologies, and Innovative Methodological Approaches (Editorial)

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Open Research OnlineThe Open University’s repository of research publicationsand other research outputsEditorial - Evolving Trends in Supply ChainManagement: Complexity, New Technologies, andInnovative Methodological ApproachesJournal ItemHow to cite:Cannella, Salvatore; Dominguez, Roberto; Framinan, Jose M. and Ponte, Borja (2018). Editorial - EvolvingTrends in Supply Chain Management: Complexity, New Technologies, and Innovative Methodological Approaches.Complexity, 2018, article no. 7916849.For guidance on citations see FAQs.c© 2018 The AuthorsVersion: Version of RecordLink(s) to article on publisher’s website:http://dx.doi.org/doi:10.1155/2018/7916849Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyrightowners. For more information on Open Research Online’s data policy on reuse of materials please consult the policiespage.oro.open.ac.ukEditorialEvolving Trends in Supply Chain Management: Complexity, NewTechnologies, and Innovative Methodological ApproachesSalvatore Cannella ,1,2 Roberto Dominguez ,2 Jose M. Framinan ,2 and Borja Ponte31DICAR, University of Catania, Catania, Italy2Industrial Management & Business Administration Department, University of Seville, Seville, Spain3Department for People and Organisations, The Open University, Milton Keynes, UKCorrespondence should be addressed to Salvatore Cannella; cannella@unict.itReceived 29 March 2018; Accepted 29 March 2018; Published 26 June 2018Copyright © 2018 Salvatore Cannella et al. This is an open access article distributed under the Creative Commons AttributionLicense, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited.Supply chainmanagement has becomeone of the primary keysuccess factors to deal with the increasing complexity of thecurrent business environment [1, 2]. Although supply chainmanagement is a mature discipline, the complexity of actualsupply chains has greatly evolved over the last twodecades [3–5] due to the dynamic interaction of awide range of processes,decisions, and structures, whose understanding becomesessential for gaining a competitive advantage in the market-place. Indeed, most supply chain management research hasfocused on the assumption of linear relationships betweennodes buyers and suppliers. However, these supply chains areno longer linear systems, but are characterized by networkstructures with autonomous and heterogeneous members[6]. As a result, the Operations Management communityis currently rethinking on celebrated concepts and largelyaccepted ideas, with the aim of developing new theory thatbetter captures the requirements of this organizational scene.New technologies have also played a key role in theaforementioned evolution of supply chains [7]. Continu-ous technological developments, such as augmented reality,direct digital manufacturing, warehouse automation, and3D printing [8, 9]—to name a few—open a new world ofopportunities from a supply chain perspective. These newtechnologies not only allow increasing the efficiency and flex-ibility of manufacturing and distribution processes, but alsomodify the relationship between the different echelons of thesupply chain, with a special emphasis on the consumer. Forthis reason, the use of these technologies has been deemed asone of the key tools for firms to enhance their competitivenessand to build up their relationships with up- and downstreamsupply chain nodes. Accordingly, the applications of thesetechnologies for supply chain management have become afruitful area of research, given its clear and strongmanagerialimplications.Overall, all these opportunities and challenges cur-rently emerging emphasize the need for fostering innovativemethodological approaches in supply chain research [10].Decision-makers need to be equipped with methodologicalframeworks that enable them to gain understanding on thedifferent problems and to facilitate the finding of robustsolutions. In this regard, several methodological approaches,such as agent-based modelling and fuzzy control systems,have proven to be instrumental laboratories for supplychain analysis and decision-making [11, 12]. In this man-ner, methodology, together with complexity and technology,becomes the third strategic axis of this special issue aimedat disseminating emerging developments in the supply chainarea.Reflecting on these three axes, this special issue bringstogether five high quality research works exploring the newchallenges and proposing new solutions for modern supplychains. We note that each submission was evaluated througha blind-review process, where at least two reviewers, whoare experts in their corresponding fields, have assessed thequality of the article. As guest editors, we are very satisfiedwith the quality of the papers presented in this issue, whichHindawiComplexityVolume 2018, Article ID 7916849, 3 pageshttps://doi.org/10.1155/2018/79168492 Complexitycontribute to the body of knowledge in this crucial topicfor businesses from the three mentioned axes. We brieflydescribe their contributions below.Z. Chen, in his paper “The Influence of 3D Printing onGlobal Container Multimodal Transport System,” evaluatesthe impact of 3D printing on a container logistics system bydeveloping a system dynamics model of a sneakers’ supplychain and establishing a comprehensive index system. Theauthor finds that the aggregate demand for internationaltransport would decline after the application of 3D printing.In addition, the evaluations based on the data of Guangzhouport suggest that the 3D printing of sneakers was not enoughto subvert the existing container logistics system. Finally,this research paper concludes that deglobalization caused by3D printing and globalization strengthening caused by tradecooperation will work together in this container system andlead to more complex changes.Another work explores the practice of inventory consign-ment, an arrangement where the retailer holds items in itsinventory which are still owned by the supplier, as a fruitfulmechanism for supply chain collaboration. While the oppor-tunities derived from consignment are well known in termsof supply chain efficiency, it does not come without relevantchallenges to be dealt with. In this regard, establishing a fairand robust pricing agreement becomes essential to ensurethe long-term viability of this collaborative solution. In lightof this, P.-Y. Chen, in the paper entitled “Optimal RetailPrice Model for Partial Consignment to Multiple Retailers,”explores the product pricing decision in a supply chainwith one supplier and multiple retailers operating undera consignment stock policy. This work proposes a partialproduct consignment model, where both the seller and thebuyers absorb a portion of the inventory costs. Moreover, arelevant feature of this work is a valuable range of managerialimplications, which would allow decision-makers to adjustproduct prices depending on the market fluctuations andsales requirements.The article “Discrete Switched Model and Fuzzy RobustControl of Dynamic Supply Chain Network,” by S. Zhanget al., investigates a fuzzy robust strategy to accomplish therobust operation of supply chain networks. They considerboth production and ordering lead times in a scenariocharacterized by uncertainty in customer demand. To doso, the authors establish a discrete switched model of thedynamic supply chain network based on Takagi-Sugeno (T-S) fuzzy systems and propose a fuzzy strategy to control theswitching actions among subsystems. From this perspective,they show how the proposed fuzzy strategy (consisting of thefuzzy switched strategy and the fuzzy control strategy) canguarantee the robust operation of the supply chain networkin a cost-effective manner.I. Cabral and A. Grilo, in their research “Impact ofBusiness Interoperability on the Performance of ComplexCooperative Supply Chain Networks,” propose an agent-based model for evaluating the effect of business interop-erability on the performance of cooperative supply chainnetworks. After rigorously identifying specific and relevantgaps in the business interoperability literature, they addressthis question by adopting a multimethod approach whichcombines empirical data and simulation. More specifically,they first collect data via face-to-face interviews and byanalysing the annual reports and newsletters of Valorpneu,which is one of the industrial networks with the best businessinteroperability performance in Portugal. Later, they popu-late the agent-based model with these data and perform a“what-if” analysis. As a result, they reveal novel conclusionsfor the business interoperability field by accurately formal-ising both theoretical and managerial implications. Finally,they propose interesting new research questions for furtheranalysis in other business network contexts (e.g., automotiveand aircraft industries).D. A. O. Vera et al., in their article “Combined Useof Mathematical Optimization and Design of Experimentsfor the Maximization of Profit in a Four-Echelon SupplyChain,” propose and employ an innovative methodologicalapproach for designing supply chain networks based on thecombination ofmathematical optimization and experimentaldesigns. Through these techniques, they address the locationof manufacturing facilities and distribution centres, theselection of the appropriate suppliers, and the allocationof the material flow in a four-echelon supply chain. Toillustrate their proposal, they evaluate the impact of fourmain factors (capacity, quality, delivery time, and interestrate) on the operational and financial performance in acase study, showing how this methodological frameworkallows practitioners to gain understanding on the complexinterdependencies that govern the dynamics of supply chains.AcknowledgmentsWe acknowledge the financial support from the ItalianMinistry of Education, University and Research (throughthe Rita Levi Montalcini program), the University of Seville(through the V PPIT-US plan), and the Spanish Ministry ofScience and Innovation (under the project PROMISE withReference DPI201680750P).Salvatore CannellaRoberto DominguezJose M. FraminanBorja PonteReferences[1] I. Manuj and F. Sahin, “A model of supply chain and supplychain decision-making complexity,” International Journal ofPhysical Distribution and Logistics Management, vol. 41, no. 5,pp. 511–549, 2011.[2] S. Serdarasan, “A review of supply chain complexity drivers,”Computers & Industrial Engineering, vol. 66, no. 3, pp. 533–540,2013.[3] A´. Ba´nyai, T. Ba´nyai, and B. Ille´s, “Optimization ofconsignment-store-based supply chain with black holealgorithm,” Complexity, vol. 2017, Article ID 6038973, 12 pages,2017.[4] S. Cannella, R. Dominguez, and J. M. Framinan, “Inventoryrecord inaccuracy—the impact of structural complexity andlead time variability,” OMEGA—The International Journal ofManagement Science, vol. 68, pp. 123–138, 2017.Complexity 3[5] V. Modrak and Z. Soltysova, “Novel complexity indicator ofmanufacturing process chains and its relations to indirect com-plexity indicators,” Complexity, vol. 2017, Article ID 9102824, 15pages, 2017.[6] R. Dominguez, S. Cannella, A. P. Barbosa-Po´voa, and J. M.Framinan, “Information sharing in supply chains with het-erogeneous retailers,” OMEGA—The International Journal ofManagement Science, 2017.[7] D. Cozmiuc and I. Petrisor, “Industrie 4.0 by Siemens: stepsmade today,” Journal of Cases on Information Technology, vol.20, no. 2, pp. 30–48, 2018.[8] M. Despeisse, M. Baumers, P. Brown et al., “Unlocking value fora circular economy through 3D printing: A research agenda,”Technological Forecasting & Social Change, vol. 115, pp. 75–84,2017.[9] D. G. Schniederjans, “Adoption of 3D-printing technologiesin manufacturing: a survey analysis,” International Journal ofProduction Economics, vol. 183, pp. 287–298, 2017.[10] J. S. Arlbjørn andA. Paulraj, “Special topic forum on innovationin business networks from a supply chain perspective: currentstatus and opportunities for future research,” Journal of SupplyChain Management, vol. 49, no. 4, pp. 3–11, 2013.[11] D. C. Chatfield, T. P. Harrison, and J. C. Hayya, “SISCO:an object-oriented supply chain simulation system,” DecisionSupport Systems, vol. 42, no. 1, pp. 422–434, 2006.[12] J. Costas, B. Ponte, D. de la Fuente, R. Pino, and J. Puche,“Applying goldratt’s theory of constraints to reduce the bullwhipeffect through agent-based modeling,” Expert Systems withApplications, vol. 42, no. 4, pp. 2049–2060, 2015.