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2017 | t. 18, z. 4, cz. 2 Agile Commerce - technologie przyszłości | 395--412
Tytuł artykułu

The Agile-Based Monitoring and Management System for Dairy Supply Chain - the User Driven Design Approach

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper considers how the agile concept can be included into The User Driven Design framework. This design method combines requirements and constraints of users and stakeholders. The agile concept can be treated as one of the requirements, which should be considered differently by various users and stakeholders. The design process depends on the application fields and has to be implemented accordingly to their characteristics. The case study of this research is a monitoring and management system that enables adaptation of the conventional dairy supply chain to the agile supply chain strategy. Due to the daily variation of the milk production, the efficient dairy supply chain requires a forecast and real-time data regarding adaptations to the variation. The system should accommodate not only changes dependent on external environmental conditions, but also internal unpredictable circumstances. The agile-based supply chain could help to maintain the high responsiveness and flexibility among the dairy plant, transportation provider and milk suppliers. To evaluate the agile strategy, an engineering solution, including hardware and software, which monitors and manages transportation as a part of the dairy supply chain is proposed. The solution is implemented and tested at a medium-sized dairy company. (original abstract)
Twórcy
  • BetterSolutions S.A.
  • Blekinge Institute of Technology
  • Adam Mickiewicz University in Poznań, Poland
  • Adam Mickiewicz University in Poznań, Poland
  • University of Social Sciences
Bibliografia
  • Agarwal A., Shankar R., Tiwari M.K. (2007), Modeling agility of supply chain, "Industrial Marketing Management", 36, pp. 443-457.
  • Ben Naylor J., Naim M.M., Berry D. (1999), Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain. Int. J. Prod. Econ. 62, pp. 107-118.
  • Benesty P.D.J., Chen J., Huang Y., Cohen P.I. (2009), Pearson Correlation Coefficient [in:] Noise Reduction in Speech Processing, Springer Topics in Signal Processing, Springer Berlin Heidelberg, pp. 1-4.
  • Butler M., Herlihy P., Keenan P.B. (2005), Integrating information technology and operational research in the management of milk collection, J. Food Eng., Operational Research and Food Logistics, Vol. 70, pp. 341-349.
  • Christopher M. (2000), The agile supply chain: competing in volatile markets, "Ind. Mark. Manag." 29, pp. 37-44.
  • Dziak D., Jachimczyk B., Kulesza W.J. (2016). Wirelessly Interfacing Objects and Subjects of Healthcare System - IoT Approach, "Elektron. Ir Elektrotechnika", 22, pp. 66-73.
  • Guerrero-ibanez J.A., Zeadally S., Contreras-Castillo J. (2015), Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies, IEEE Wirel. Commun, 22, pp. 122-128.
  • He W., Yan G., Xu L.D. (2014), Developing Vehicular Data Cloud Services in the IoT Environment, IEEE Trans. Ind. Inform, 10, pp. 1587-1595.
  • Ioannou G., Kritikos M.N., Prastacos G.P., (2002). Map-Route: a GIS-based decision support system for intra-city vehicle routing with time windows. J. Oper. Res. Soc. 53, pp. 842-854.
  • Jia X., Feng Q., Fan T., Lei Q., (2012). RFID technology and its applications in Internet of Things, in: 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet). pp. 1282-1285.
  • Kadzere C.T., Murphy M.R., Silanikove N., Maltz E. (2002). Heat stress in lactating dairy cows: a review. Livest. Prod. Sci. 77, pp. 59-91.
  • Lee I., Lee K. (2015), The Internet of Things (IoT): Applications, investments, and challenges for enterprises, Bus. Horiz, 58, pp. 431-440.
  • Cisco systems (2017), The Internet of Things Reference Model, [online] http://cdn.iotwf.com/resources/71/IoT_Reference_Model_White_Paper_June_4_2014.pdf, date of access 23.03.2017.
  • Xu L.D., He W., Li S. (2014), Internet of Things in Industries: A Survey, IEEE Trans. Ind. Inform, 10, pp. 2233-2243.
Typ dokumentu
Bibliografia
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Identyfikator YADDA
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