18 research outputs found
Enhancing the sustainability performance of Agri-Food Supply Chains by implementing Industry 4.0
[EN] In order to enhance the sustainability in the supply chain, its members should define and pursue common objectives in the three dimensions of the sustainability (economic, environmental and social). The Agri-Food Supply Chain (AFSC) is a network of different members such as farmers (producers), processors and distributors (wholesales, retailers.), etc.. In order to achieve the performance objectives of the AFSC, Industry 4.0 technologies can be implemented. The aim of this paper is to present a classification of these technologies according to two criteria: objective to be achieved (environmental or social) specified in the main issues to be covered in each objective and member of the AFSC supply chain where it is implemented. In this work, we focus on technologies that deal with environmental and social sustainability because economic sustainability will depend on the specific characteristics of the business (a supply chain using a specific Industry 4.0 technology may be profitable while others do not).This work has been funded by the Project GV/2017/065 "Development of a decision support tool for the management and improvement of sustainability in supply chains" funded by the Regional Government of Valencia. Authors also acknowledge the Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems.PĂ©rez Perales, D.; Verdecho SĂĄez, MJ.; AlarcĂłn Valero, F. (2019). Enhancing the sustainability performance of Agri-Food Supply Chains by implementing Industry 4.0. IFIP Advances in Information and Communication Technology. 568:496-503. https://doi.org/10.1007/978-3-030-28464-0_43S496503568Camarinha-Matos, L.M., Fornasiero, R., Afsarmanesh, H.: Collaborative networks as a core enabler of Industry 4.0. In: Camarinha-Matos, L.M., Afsarmanesh, H., Fornasiero, R. (eds.) PRO-VE 2017. IAICT, vol. 506, pp. 3â17. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65151-4_1Stich, V., Gudergan, G., Zeller, V.: Need and solution to transform the manufacturing industry in the age of Industry 4.0 â a capability maturity index approach. In: Camarinha-Matos, L.M., Afsarmanesh, H., Rezgui, Y. (eds.) PRO-VE 2018. IAICT, vol. 534, pp. 33â42. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99127-6_3Flores, M., Maklin, D., Golob, M., Al-Ashaab, A., Tucci, C.: Awareness towards Industry 4.0: key enablers and applications for internet of things and big data. In: Camarinha-Matos, L.M., Afsarmanesh, H., Rezgui, Y. (eds.) PRO-VE 2018. IAICT, vol. 534, pp. 377â386. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-99127-6_32Seuring, S., MĂŒller, M.: From a literature review to a conceptual framework for sustainable supply chain management. J. Clean. Prod. 16, 1699â1710 (2008)Prima, W.A., Xing, K., Amer, Y.: Collaboration and sustainable agri-food supply chain: a literature review. In: MATEC (2016). https://doi.org/10.1051/matecconf/20165802004PĂ©rez Perales, D., AlarcĂłn Valero, F., Drummond, C., Ortiz, Ă.: Towards a sustainable agri-food supply chain model. The case of LEAF. In: Ortiz, Ă., AndrĂ©s Romano, C., Poler, R., GarcĂa-Sabater, J.-P. (eds.) Engineering Digital Transformation. LNMIE, pp. 333â341. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-96005-0_40Savastano, M., Amendola, C., Bellini, F., DâAscenzo, F.: Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review. Sustainability 11, 891 (2019)Varela, L., AraĂșjo, A., Ăvila, P., Castro, H., Putnik, G.: Evaluation of the relation between lean manufacturing, Industry 4.0, and sustainability. Sustainability 11, 1439 (2019)Bonilla, S.H., Silva, H.R.O., da Silva, M.T., Gonçalves, R.F., Sacomano, J.B.: Industry 4.0 and sustainability implications: a scenario-based analysis of the impacts and challenges. Sustainability 10, 3740 (2018)BĂĄnyai, T., TamĂĄs, P., IllĂ©s, B., Stankeviciute, Z., BĂĄnyai, A.: Optimization of municipal waste collection routing: impact of Industry 4.0 technologies on environmental awareness and sustainability. Int. J. Environ. Res. Public Health. 16, 634 (2019)Lin, K.C., Shyu, J.Z., Ding, K.: A cross-strait comparison of innovation policy under Industry 4.0 and sustainability development transition. Sustainability 9, 786 (2017)Kamble, S.: Sustainable Industry 4.0 framework: a systematic literature review identifying the current trends and future perspectives. In: Process Safety and Environmental Protection Transactions of the Institution of Chemical Engineers, Part B, vol. 117, pp. 408â25. Institution of Chemical Engineers (2018)Franciosi, C., Iung, B., Miranda, S., Riemma, S.: Maintenance for sustainability in the Industry 4.0 context: a scoping literature review. IFAC-Pap. Online 51(11), 903â908 (2018)Bocken, N.M.P., Short, S.W., Rana, P., Evans, S.: A literature and practice review to develop sustainable business model archetypes. J. Clean. Prod. 65, 42â56 (2014)Bourlakis, M., Maglaras, G., Aktas, E., Gallear, D., Fotopoulos, C.: Firm size and sustainable performance in food supply chains: insights from Greek SMEs. Int. J. Prod. Econ. 152, 112â130 (2014)Garbie, I.H.: An analytical technique to model and assess sustainable development index in manufacturing enterprises. Int. J. Prod. Res. 52(16), 4876â4915 (2014)Beier, G., Niehoff, S., Ziems, T., Xue, B.: Sustainability aspects of a digitalized industry - a comparative study from China and Germany. Int. J. Precis. Eng. Manuf. Green Technol. 4, 227â234 (2017)PĂ©rez, D., Verdecho, M.J., AlarcĂłn, F: Industry 4.0 for the development of more sustainable decision support tools for agri-food supply chain management. In: 13rd International Conference on Industrial Engineering and Industrial Management, XXIII, GijĂłn, Spain (2019)Xiaolin, L., Linnan, Y., Lin, P., Wengfeng, L., Limin, Z.: Procedia engineering county soil fertility information management system based on embedded GIS. Procedia Eng. 29, 2388â2392 (2012)Satyanarayana, G.V.: Wireless sensor based remote monitoring system for agriculture using ZigBee and GPS. In: 2013 (CAC2S), pp. 110â114 (2013)Phillips, A.J., Newlands, N.K., Liang, S.H.L., Ellert, B.H.: Integrated sensing of soil moisture at the field-scale: measuring, modeling and sharing for improved agricultural decision support. Comput. Electron. Agric. 107, 73â88 (2014)Liopa-tsakalidi, A., Tsolis, D., Barouchas, P.: Application of mobile technologies through an integrated management system for agricultural production. Procedia Technol. 8, 165â170 (2013). (Haicta)Yerpude, S., Singhal, T.K.: Impact of Internet of Things (IoT) data on demand forecasting. Indian J. Sci. Technol. 10, 5 (2017)Wolfert, S., Ge, L., Verdouw, C., Bogaardt, M.: Big data in smart farming â a review. Agric. Syst. 153, 69â80 (2017)Castka, P., Balzarova, M.A.: ISO 26000 and supply chains-on the diffusion of the social responsibility standard. Int. J. Prod. Econ. 111(2), 274â286 (2008)Stock, T., Obenaus, M., Kunz, S., Kohl, H.: Industry 4.0 as enabler for a sustainable development: A qualitative assessment of its ecological and social potential. Process. Saf. Environ. 118, 254â267 (2018)Verdecho, M.J., PĂ©rez, D., AlarcĂłn F.: Proposal of a customer-oriented sustainable balanced scorecard for agri-food supply chains. In: 12th International Conference on Industrial Engineering and Industrial Management, Girona, Spain, 12â13 July (2018)Valcour, P.M., Hunter, L.W.: Technology, organizations, and work-life integration. In: Kossek, E.E. Lambert, S.J. (eds.), Work and Life Integration: Organizational, Cultural, and Individual Perspectives, pp. 61â84. Lawrence Erlbaum Associates, Mahwah (2005)Arntz, M., Gregory, T., Zierahn, U.: The risk of automation for jobs in OECD countries: a comparative analysis. In: OECD Social, Employment and Migration Working Papers, no. 189. OECD Publishing, Paris (2016)Grubert, J., Langlotz, T., Zollmann, S., Regenbrecht, H.: Towards pervasive augmented reality: context-awareness in augmented reality. IEEE Trans. Vis. Comput. Graph. 23, 1 (2016)Velthuis, A.G.J.: New Approaches to Food-Safety Economics. Kluwer Academic Publishers, Dordrecht (2003)SĂĄndor, Z.P., CsiszĂĄr, C.: Development stages of intelligent parking information systems for trucks. Acta Polytechnica Hungarica 10(4), 161â174 (2013)Scognamiglio, V., Arduini, F., Palleschi, G., Rea, G.: Biosensing technology for sustainable food safety. Trends Analyt. Chem. 62, 1â10 (2014)Brynjolfsson, E., McAfee, A.: The Second Machine Age. Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company, London (2014)Smith, A., Caiazza, T.: Automation in everyday life (2017). http://assets.pewresearch.org/wpcontent/uploads/sites/14/2017/10/03151500/PI_2017.10.04_Automation_FINAL.pdfHefferon, K.L.: Nutritionally enhanced food crops; progress and perspectives. Int. J. Mol. Sci. 16, 3895â3914 (2015)Glass, S., Fanzo, J.: Genetic modification technology for nutrition and improving diets: an ethical perspective. Curr. Opin. Biotech. 44, 46â51 (2017)Moe, T.: Perspectives on traceability in food manufactureâ. Trends Food Sci. Technol. 9(5), 211â214 (1998)Latino, M., Corallo, A., Menegoli, M.: From Industry 4.0 to Agriculture 4.0: how manage product data in agri-food supply chain for voluntary traceability, a framework proposed. In: 20th International Conference on Food and Environment (ICFE), Rome (2018)Linus, U.O.: Traceability in agriculture and food supply chain: a review of basic concepts, technological implications, and future prospects. J. Food Agric. Environ. 1(1), 101â106 (2003)Maumbe, B.M., Okello, J.: Uses of information and communication technology (ICT) in agriculture and rural development in Sub-Saharan Africa: experiences from South Africa and Kenya. IJICTRDA 1(1), 1â22 (2010)Dlodlo, N., Kalezhi, J.: The internet of things in agriculture for sustainable rural development. In: International Conference on Emerging Trends in Networks and Computer Communications (ETNCC) (2015
Morbidity profile of cotton mill workers
Objective: To study the morbidity pattern among cotton mill workers.
Material and Methods: This cross-sectional study was conducted in
cotton mills in Guntur District (AP) in January 2009 to May 2009. Total
474 workers were included in the study. Results: All study subjects
were male. Most of the study subjects belonged to age group 30â40
years (56.96%) and lower socioeconomic status (36.09%) according to
modified KuppuswamyâČs classification. The literacy status was
varied with 5.70% being illiterate and 37.13% were educated up to
primary school. Most of workers were working in Ring frame (41.56%) and
majority (58.44%) were working for the last 5â10 years. Mean
height of study subjects was 147.42 cm and mean weight was 55.11 kg.
The common morbid conditions found were eosinophilia (18.35%), iron
deficiency anemia (28.90%), byssinosis grade 1 (7.80%), dental stains
(6.54%), refractive errors (7.80%), chronic bronchitis (4.85%), and
upper respiratory tract infection (8.64%)
Vendor-managed inventory supply chain coordination based on commitment-penalty contracts with bilateral asymmetric information
Synthesis and characterization of blue long-lasting BaCa2Al8O15:Eu2+, Dy3+ phosphor
We have synthesized and characterized a new BaCa2Al8O15:Eu2+,Dy3+ phosphor prepared by the combustion method. X-ray diffraction, thermoluminescence, scanning electron microscope, time decay and optical spectral analysis photoluminescence excitation, emission spectra were used to characterize the phosphors. Broadband ultraviolet excited luminescence of the BaCa2Al8O15:Eu2+,Dy3+ was observed in the blue region ((max)=435 nm) due to transitions from the 4f(6)5d(1) to the 4f(7) configuration of the Eu2+ ion. Scanning electron microscopy has been used for exploring the morphological properties of the prepared phosphors. The BaCa2Al8O15:Eu2+ phosphor has a blue afterglow when Dy3+ ions were co-doped. The thermoluminescence spectra show that the Dy3+ ion induces a proper trap in the phosphor with a depth of 0.67 eV and results in a long afterglow phosphorescence
Effect of Mg and P ions on photoluminescence characteristics of Li<sub>2</sub>SO<sub>4</sub>: Cu phosphor
447-449Synthesis of the Li2SO4: Cu phosphor has been done by using wet chemical method The XRD technique shows the crystalline nature of the prepared material. Photoluminescence (PL) emission spectra of Li2SO4: Cu phosphor shows the strong prominent peak at 387nm in the violet region of the visible spectrum due to the transition of 3d10â3d94s1 of Cu+ ion. The increase in photoluminescence of Li2SO4:Cu by co-doping with Mg and P has been studied
Optical properties of rare earth-activated Ca3(PO4)2:RE (RE = Eu3+ and Dy3+) phosphors prepared by wet chemical synthesis
Combustion synthesis of KZnPO
In this work, KZnPO4:Dy3+ and KZnPO4:Sm3+ phosphors are synthesized using the Combustion technique. The phosphor XRD and photoluminescence properties were studied. The XRD was used to confirm the orthorhombic phase with the space group P n a 21. The PL emission spectra of the synthesized KZnPO4:Dy3+ phosphor shows a strong emission at 482 and 574ânm under 350ânm excitation, which is ascribed due to 4F9/2â6H15/2 and 4F9/2â6H13/2 electronic transitions of the Dy3+ ions, respectively. When the KZnPO4:Sm3+ phosphor was excited at 402ânm, the emission spectra exhibited prominent bands located at 562 and 597ânm. The CIE coordinates show that the current phosphors have high colour purity. The KZnPO4:Dy3+ and Sm3+ phosphors provide an excellent candidate for n-UV-based w-LEDs