In our approach, a virtual enterprise (VE) is a dynamic business-system, which contains an aggregate .... where â control actions for synthesis, âparameters (costs, time, risk etc.) of .... In Proceedings of the 13th international DAAAM symposium
bring require informal and free interaction among team members in a way which communications ... advantage of allowing the kind of free access to information and co-operation on design. This in turn will ..... Playboy Press . Gattorna, J. L. and ...
has edited a couple of books that include Agile Manufacturing: The 21st Century Competitive Strategy. (Elsevier) and Knowledge .... areas of electronic commerce, decision support systems and e-Supply-chain management. He has published in a .... provi
Dr Richard Wilding, Lecturer in Logistics and Supply Chain Management, Cranfield ... The article examines the agility strategy for competitiveness in changing market conditions and ... Manufacturing has to work with very short planning horizons and .
supply chains. 1 INTRODUCTION. The Supply Chain is the series of activities that an organization uses to deliver value, either in the form of a product, service, or a combination of both, to its customers. Recent trends in the economy have de-emphasi
Delhi Business Review âVol. 3, No. 1, January - June 2002 ... A list of possible barriers, which may affect the application of supply chain management concept in the construction industry, has also .... construction services process essentially con
In 2002 COL Parlier assumed a critical Army Acquisition Corps position in his fifth Operations. Research/Systems ...... a wider range of potential DLRs to prioritize while also nearly tripling the availability improvement that had been projected for
The High Tech Supply Chain Management (SCM) Practice in ... planning solutions with expertise in i2 applications. ... experience in Manufacturing and Supply Chain Operations, ... This research highlights the challenges faced and strategies that can b
Apr 16, 2012 - Despite the increasing amount of attention paid to Supply chain management (SCM) practices by practitioners .... considering the importance of customer satisfaction in supply chain management strategy (Williams & Visser,. 2002). 3. ...
Department of Finance and Operations Management. Isenberg School of ... the synergy benefits associated with the integration of multiproduct firms through merg- ... Interestingly, Langabeer and Seifert (2003) showed a compelling and ...... http://mba
form the foundation for the construction of an integration test-bed. This testbed will focus on production & operations management within the supply chain. ... lead-time for each major business process in supply chain. Those processes are, in macro s
The Dynamics of the Supply Chain. Order S ize. Time. Source: Tom Mc Guffry, Electronic Commerce and Value Chain Management, 1998. Customer. Demand. Customer. Demand. Retailer Orders. Retailer Orders. Distributor Orders. Distributor Orders. Production
either âphysicallyâ or electronically, that is, âon-line,â through the Internet. Figure 4.1 depicts the multitiered supernetwork structure of the supply chain network, at equilibrium, which is established in this section. Specifically, consid
Global Supply Chain Supernetworks. Anna Nagurney, Jose Cruz, and Dmytro Matsypura. Department of Finance and Operations Management. Isenberg School of Management. University of Massachusetts. Amherst, Massachusetts 01003. November, 2002. Appears in M
Aug 19, 2009 - our research indicates the different barriers of integrating toward the upstream and downstream supply .... communication is possible with the help of advanced .... Manu. sites (China). Manu. sites (East Asia). Clothe, furniture, and f
JOÃO MÃRIO CSILLAG. PhD in Management at Escola de AdministraÃ§Ã£o de Empresas de SÃ£o Paulo da FundaÃ§Ã£o. GetÃºlio Vargas - EAESP/FGV. Adjunct Professor at the Department of Industrial Production and Operations at EAESP/ FGV. Av. Nove de Julho, 2
Jul 20, 2010 - Part of the Business Administration, Management, and Operations Commons. This Article is .... new source of competitive advantage in terms of management perspective (Gupta, 1994). ..... the ANOVA table, the model reaches statistical si
Feb 24, 2014 - The results also show that three supply chain ... performance with the moderating effect of supply chain role. ... These practices will be used in our study. .... suppliers on quality management resulting in improved productivity ...
of key trends and best practices that will power the reverse logistics process going .... These variables must be managed effectively, efficiently and proactively â not tactically or reactively â for the viability of the company. Until recently,
Jul 20, 2010 - (4) What is the relationship between GSCM internal practices and supply chain resource? (5) What is the ... purpose of the study, research questions, methodology, and organization of the thesis. In the second chapter, the .... Environm
tween SCM, supply chain flexibility and business performance and these associations are analyzed through ... on SCM programs that have significant impact on enhancing SCM activities such as where quality .... to support the overall null hypothesis wh
Going on-line reduces processing costs. â¢. Centralization yields significant inventory benefits. This is most likely if there are considerable economies of scale, or for new products or low- volume high-variety products, which have high demand unce
Other properties enable the assurance that risks to supply .... SANS Institute: template for application security requirements in contracts with software ... that addresses software assurance (esp. for commercial software) from a supply chain.
industry, which some extent were influenced by the automotive technology management that have been practice by .... Lean principles come from the Japanese.
Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Detroit, Michigan, USA, September 23-25, 2016
Cloud-based Virtual Supply Chain Petri Helo Networked Value Systems University of Vaasa PO Box 700, FI-65280 Vaasa, Finland [email protected] Ahm Shamsuzzoha Department of Mechanical and Industrial Engineering Sultan Qaboos University, Muscat, Oman [email protected] Maqsood Sandhu Business Administration Department United Arab Emirates University, Al Ain, UAE [email protected]
Abstract Virtual enterprises and virtual supply chain concepts have been presented to propose solution for a seamless integration and data exchange between enterprises in the supply chain. Cloud computing technology enables centralized data storage and processing for operations and supply chain. This paper presents a prototype implementation of cloud-based virtual supply chain. The proposed solution offers functionality to initiate new sales orders for production, select needed resources, conduct planning and control activities and finally produce parts in virtual model of simulation.
1. Introduction Today’s manufacturing companies operate in complex networks. As each enterprise is focusing on own core competency and global competition requires cost effective operations, many industries have dispersed structure. Design and engineering may be conducted in one company or outsourced to special engineering companies to complete specific tasks. Operations may be conducted at different manufacturing sites supplied by local or global centralized suppliers. Use of same specifications and quality delivered is expected from all entities within the supply chain. Very often a non-hierarchical network with customized products is the target environment (Shamsuzzoha et al. 2016). Another challenge is that many industries are project based. This means that both product specifications as well as project participants may change in large extend between different delivery projects. The configuration of the supply chain may vary from initial partner selection to final plans. The overall project objectives related to product specifications, cost and timing should be achieved despite these factors. Project management approach can be used to balance between efficiency and responsiveness (Gaudenzi & Christopher 2016). In order to respond to these needs, information systems are required to have good connectivity and interoperability between enterprises. This paper presents a prototype implementation of cloud-based virtual supply chain. The
Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Detroit, Michigan, USA, September 23-25, 2016 proposed solution offers functionality to initiate new sales orders for production, select needed resources, conduct planning and control activities and finally produce parts in virtual model of simulation. The data related to design and manufacturing is stored on a centralized cloud solution as well as an up to date status for each order.
2. Literature Information technology related to supply chains has developed much during the past years. Global access to reliable Internet connection allows building real-time systems with automatic information exchange. Virtual supply chains and cloud computing based solutions are leading this development. 2.1 Virtual supply chains Virtual supply chain concept has been presented in the light of e-commerce systems to respond to the need for supply chain transparency. According to Gunasekaran and Ngai (2004) the concept includes tools to manage information flow related to planning, sourcing, making, and delivering activities, which are supported by data collection, information processing and information sharing activities for a network of companies. Sharing up to date information along the network by using information technology enables to have a virtual model of supply chain operations in addition to enterprise level systems. Theoretical models have been developed for information system designers. Manthou et al (2004) presented Virtual eChain (VeC) model for collaboration and key concepts to describe each partner’s organization, capabilities and roles. Verdouw et al. (2016) designed a solution to support large scale data processing solution tracking and tracking, quality monitoring and planning activities. The approach presents a method for object virtualization and demonstrate several cases related to flower supply chains. Other case study descriptions of virtual supply chains have been presented in the literature. Gunasekaran and Ngai (2004) report the case of Logistics information network enterprise (LINE) which operated on third party logistics serving several international customers on global inventory and logistics services. Virtual supply chains share many objectives developed in virtual factories, which is a corresponding concept related to manufacturing. Some elementary objectives for the virtual factories are: (1) possibility to utilize global production system (Fujii et al 2000); (2) interoperability between companies (Hao et al 2013); (3) up to date visualization of operational status (Helo et al 2014). Networked manufacturing, virtual manufacturing and decentralized manufacturing share many aspects with virtual supply chains (Ford et al., 2012, Xu, 2012; Zhan et al 2014). There is empirical support for IT improving the company performance and supply chain agility as concluded by DeGroote and Marx (2013). They studied 193 US manufacturing companies and found the link on responsiveness and IT implementation based on management survey. 2.2 Cloud based solutions Cloud computing has been applied to several applications. In short, this refers to delivery of information technology resources on-demand over the internet and consuming these resources based on pay-for-use. Cloud Manufacturing is a manufacturing model enabled by the cloud computing (Xu, 2012; Zhan et al 2014). This allows geographically distributed companies collaborating in various aspects during the entire manufacturing lifecycle. Companies can provide and request manufacturing resources and capabilities as servers to fulfill specific customer’s requirements. From technical point of view, cloud manufacturing relates to following implementation technologies (Tao et al 2011, Wu et al. 2013, Wu et al 2014, Wei et al 2013): (1) (2) (3) (4)
service oriented software technologies for data exchange, virtualization and cloud computing for data storage and processing Internet of Things for machine level connectivity, and other advanced computing technologies.
An important part of cloud based concepts is about servitization (Huang et al., 2013; Luo et al., 2011). Operations and logistics within the supply chain can be perceived as services provided to potential network. The ultimate objective is
Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Detroit, Michigan, USA, September 23-25, 2016 to have a plug and play type of interface between the companies, enabled by shred processes and cloud based infrastructure. Shamsuzzoha et al. (2016) presented a portal based system for creating collaborative platform for design and supply chain information exchange. In this system the portal provided centralized services for partner search, design sharing, planning and supply chain event messaging. Cloud based solutions combined with virtual supply chain concept allow development of distributed supply chain systems, where each firm can provide services and standardized automatic data exchange should keep transaction costs low.
3. Case example – Cloud-VSC prototype development In order to demonstrate a cloud-based virtual supply chain in the manufacturing context, a system was designed and developed. The prototype is named as Cloud-VSC and the domain is sheet metal products. First, the requirements for such system were collected from a sheet metal manufacturing company and then based on analysis, functionality was designed. The key requirements were related to exchange of ordering information from design phase of products to actual production, which includes CAM phase to translate the product designs into specific resource level parameters and executable code. This phase has been typically work intensive and required knowledge of machinery. Raw materials used for each product are depending on product types as well as production plans. The purpose of production planning phase is to outline a schedule and generate an executable plan to meet due dates and maintain operational efficiency. Both supply and customer sides in the virtual supply chain should be up to date with current operational plans and adjust operations when needed. The cloud solution offers functionality to manage designs released to production, resource planning and status monitoring for work in execution. User management allows access based on roles. Figure 1 illustrates the overall functionality of the developed cloud based virtual supply chain system. The system has been implemented by using a centralized Microsoft Azure server and MongoDB cloud database.
Figure 1. Cloud-based solution controlling the flow from design to production and delivery.
Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Detroit, Michigan, USA, September 23-25, 2016 The cloud based system offers communication interfaces for participants. The data models for storage and exchange of information are built specific for sheet metal context and not generalized to other industries. However, the developed prototype system allows creating remote user interfaces to see operation status of the supply chain. This allows users to build virtual “war room” type of user interfaces to oversee the activities. This virtual approach is similar to “Obeya” rooms used in lean manufacturing. Figure 2 illustrates a setup of virtual control room equipped with three PC computers connecting the centralized cloud system. Four separate monitors are presented to view information as follows: (1) Production planning and control view displays the current schedule. The functionality of this planning tool is to offer lot sizing and scheduling decisions as a service. This part is related to overall information exchange of orders and run entirely in the cloud as web based application. (2) Simulation of production is a virtual model of the production. This model is connected to actual production orders released from the customer orders according to production plan stored in the cloud. (3) Manufacturing execution system (MES) is communicating with the actual machinery and receive status information directly from the line. In this case MES builds the Internet of Things connection to device level. This data is used for operations records, quality records and source for key performance indicators. (4) Product information, and visualization of parts are displayed in fourth monitor. This is a touch based screen that allows to rotate 3D parts on the screen and give more context for the manager to see a virtual model of the actual product in addition to virtual view of the production and supply chain. The control room creates a view on the virtual models of product and process, which should have corresponding status in the real supply chain.
Figure 2. User interface of cloud based “war-room” for virtual supply chain.
Cloud based virtual supply chain system can bring the virtual model of both the product and supply chain to locations beyond a single site or an enterprise. As up to date information and virtual models are maintained in a centralized cloud, the dynamics and agility of the supply chain should be enhanced by better response. Table 1 shows aspects enabled by virtualization of supply chain and cloud based solution in dimensions of product, process and performance. Virtualization of products, processes and performance are increasingly available as most part of the data is in digitalized format already. Standardization is important to enable the benefits of having digital twins of physical and digital models of product and process. Cloud based solutions are centralized by nature, but the benefit is to have domain specific systems which have scalability and flexibility.
Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Detroit, Michigan, USA, September 23-25, 2016 Table 1. Product, process and performance aspects enabled by cloud-based virtual supply chain system. Virtual supply chain Cloud based solution Product Virtual model of product Centralized storage of product data visualization Virtual model of product data Resources needed Availability of materials Process
Virtual model of the supply chain simulation
Virtual dashboard for supply chain and factory level items
Centralized storage of jobs and job status information Data exchange with factory level MES Production planning as a service Data exchange with ERP systems related to order status and process events Key performance indicators benchmark as a service
4. Conclusions Cloud based virtual supply chain environments are not yet commonly used despite the availability of software building blocks (Shamsuzzoha 2016). The developed cloud based virtual supply chain prototype system has demonstrated possible functionality of centralized sheet metal manufacturing related system. The experiment has gained some interested feedback from the industry who is managing global manufacturing networks where response on both new product introduction phase and actual product delivery phase is important. The level of virtualization seen in 3D printers is a good objective for traditional manufacturers to approach. Translating product models to printing facilities and monitoring the progress of the work remotely could be done in similar way by using a cloud based virtual supply chain system. As distributed manufacturing results on configurable networks and products are complex, both standardization work and domain specific approaches are needed. Companies engineering manufacturing solutions can have a potential on this by applying IoT. Another challenge is the dependency on Internet connection when all important master data is stored in the cloud. Further work on local synchronization and data security is needed for real world applications. However, despite its limits the prototype implementation has shown that virtualization of supply chains and cloudbased solutions have a good potential to develop a multi-company hub for managing the real supply chain.
References DeGroote, S. E., & Marx, T. G. (2013). The impact of IT on supply chain agility and firm performance: an empirical investigation. International Journal of Information Management, 33(6), 909-916. Ford, S. J., Rauschecker, U., & Athanassopoulou, N. A. (2012). System-of-system Approaches and Challenges for Multi-Site Manufacturing.Proc. Of the 2012 7th International Conference on System of Systems Engineering, Genoa, Italy-16-19 July 2012 Fujii, S., Kaihara, T., & Morita, H. (2000). A distributed virtual factory in agile manufacturing environment. International Journal of Production Research, 38(17), 4113-4128. Gaudenzi, B., & Christopher, M. (2016). Achieving supply chain ‘Leagility’ through a project management orientation. International Journal of Logistics Research and Applications, 19(1), 3-18. Gunasekaran, A., & Ngai, E. W. (2004). Virtual supply-chain management. Production Planning & Control, 15(6), 584-595. Hao, Y., Shamsuzzoha, A., & Helo, P. (2013). Designing of Virtual Factory Information System by Enterprise Portal. In Enterprise Distributed Object Computing Conference Workshops (EDOCW), 2013 17th IEEE International (pp. 258-266). IEEE.
Proceedings of the 2016 International Conference on Industrial Engineering and Operations Management Detroit, Michigan, USA, September 23-25, 2016 Helo, P., Suorsa, M., Hao, Y., & Anussornnitisarn, P. (2014). Toward a cloud-based manufacturing execution system for distributed manufacturing. Computers in Industry, 65(4), 646-656. Huang, B., Li, C., Yin, C., & Zhao, X. (2013). Cloud manufacturing service platform for small-and medium-sized enterprises. The International Journal of Advanced Manufacturing Technology, 1-12. Luo, Y. L., Zhang, L., He, D. J., Tao, F., Ren, L. & Tao, F. (2011). Study on multi-view model for Cloud manufacturing. Advanced Materials Research, 201, 685-688. Manthou, V., Vlachopoulou, M., & Folinas, D. (2004). Virtual e-Chain (VeC) model for supply chain collaboration. International Journal of Production Economics, 87(3), 241-250. Shamsuzzoha, A., Toscano, C., Carneiro, L. M., Kumar, V., & Helo, P. (2015). ICT-based solution approach for collaborative delivery of customised products. Production Planning & Control, 1-19. Shamsuzzoha, A., Ferreira, F., Azevedo, A., & Helo, P. (2016). Collaborative smart process monitoring within virtual factory environment: an implementation issue. International Journal of Computer Integrated Manufacturing, 115. Tao, F; L Zhang; VC Venkatesh; YL Luo; Y Cheng (2011). "Cloud manufacturing: a computing and service-oriented manufacturing model". Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture. doi:10.1177/0954405411405575. Verdouw, C. N., Beulens, A. J., Reijers, H. A., & van der Vorst, J. G. (2015). A control model for object virtualization in supply chain management. Computers in Industry, 68, 116-131. Wei, Z., Feng, Y., Wang, X., Sun, Z., & Sun, Y. (2013). Design Thinking and Cloud Manufacturing: A Study of Cloud Model Sharing Platform Based on Separated Data Log. Advances in Mechanical Engineering, 2013. Wu, D., Greer, M.J., Rosen, D.W., & Schaefer, D. (2013). Cloud Manufacturing: Strategic Vision and State-of-theArt. Journal of Manufacturing Systems (JMSY), 32(4): 564-579. DOI: 10.1016/j.jmsy.2013.04.008. Wu, D., Rosen, D.W., Wang, L., & Schaefer, D. (2014). Cloud-Based Design and Manufacturing: A New Paradigm in Digital Manufacturing and Design Innovation. Computer-Aided Design, http://dx.doi.org/10.1016/j.cad.2014.07.006 Xu, X (2012). "From cloud computing to cloud manufacturing". Robotics and Computer-Integrated Manufacturing. doi:10.1016/j.rcim.2011.07.002 Zhang, L., Luo, Y., Tao, F., Li, B. H., Ren, L., Zhang, X., & Liu, Y. (2014). Cloud manufacturing: a new manufacturing paradigm. Enterprise Information Systems, 8(2), 167-187.
Biography Petri Helo is a Research Professor of the Logistics Systems Research Group at the University of Vaasa, Finland. He received his PhD in Production Economics from the University of Vaasa, Finland in 2001. He is also involved in developing logistics information systems at Wapice Ltd. as a partner. His areas of expertise include agile manufacturing, technology management and system dynamics. He has published several research papers in international journals and conference proceedings. Ahm Shamsuzzoha has been working as an Assistant Professor, Department of Mechanical and Industrial Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman. He is also working as a Visiting Researcher, Department of Production, University of Vaasa, Finland. He received his PhD in Industrial Management (Department of Production) from the University of Vaasa, Finland and his Master of Science (Department of Mechanical Engineering) degree from the University of Strathclyde, Glasgow, UK. His major research and teaching interest lies in the area of enterprise collaborative networks, operations management, product customization, simulation modelling and supply chain management. He has published several research papers both in reputed international journals and conferences. Maqsood Sandhu is working as an Associate Professor at Business Administration Department, United Arab Emirates University, Al Ain, UAE. He received his PhD from Hanken: Swedish School of Economics (SSE), Finland in 2005. He received his Master of Science degree from the University of Vaasa, Finland in 1998. His research interests lies in the area of Project Business, Decision Support System, Business Entrepreneurship, Logistic and Supply Chain, Production Planning and Control. He has published several research papers both in international journals and conference proceedings.