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Modelling a Multi-product, Multi-location and Multi Region based Low Carbon Footprint Supply Chain Configuration Problem for Sanitaryware Manufacturer

by Arnav Jain, Lokik Aggarwal, Remica Aggarwal, Lakshay Aggarwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 29
Year of Publication: 2019
Authors: Arnav Jain, Lokik Aggarwal, Remica Aggarwal, Lakshay Aggarwal
10.5120/ijca2019919134

Arnav Jain, Lokik Aggarwal, Remica Aggarwal, Lakshay Aggarwal . Modelling a Multi-product, Multi-location and Multi Region based Low Carbon Footprint Supply Chain Configuration Problem for Sanitaryware Manufacturer. International Journal of Computer Applications. 178, 29 ( Jul 2019), 21-25. DOI=10.5120/ijca2019919134

@article{ 10.5120/ijca2019919134,
author = { Arnav Jain, Lokik Aggarwal, Remica Aggarwal, Lakshay Aggarwal },
title = { Modelling a Multi-product, Multi-location and Multi Region based Low Carbon Footprint Supply Chain Configuration Problem for Sanitaryware Manufacturer },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2019 },
volume = { 178 },
number = { 29 },
month = { Jul },
year = { 2019 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number29/30720-2019919134/ },
doi = { 10.5120/ijca2019919134 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:51:45.685122+05:30
%A Arnav Jain
%A Lokik Aggarwal
%A Remica Aggarwal
%A Lakshay Aggarwal
%T Modelling a Multi-product, Multi-location and Multi Region based Low Carbon Footprint Supply Chain Configuration Problem for Sanitaryware Manufacturer
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 29
%P 21-25
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

More and more organizations are realizing the importance of going green and opting for trade with a greener and cleaner environment concern . Present research work explores how carbon emissions concerns could be incorporated and what impact they would have on a supply chain configuration of a sanitaryware manufacturer offering multiple products manufactured at multiple plants and delivered at multiple locations . The given situation therefore depicts a multi-objective supply chain configuration scenario with respect to total carbon costs and/or level of carbon footprints and duration of inbound and outbound shipments.

References
  1. Kleindorfer, P.R., Singhal, K. and Van Wassenhove, L.N.(2005), “Sustainable operations management,” Production & Operations Management, Vol. 14, No. 4, pp. 482–492.
  2. Linton, J.D., Klassen, R., and Jayaraman, J.2007. Sustainable supply chains: An introduction. Journal of Operations Management, 25( 6) , 1078–1082.
  3. Benjaafar, S., Li, Y. Daskin, M. 2013. Carbon footprint and Management of Supply Chains: Insights from Simple Models. IEEE Transactions on Automation Science and Engineering, 10(1) .
  4. Pati, R. K., Vrat, P. and Kumar, P. 2008. A Goal Programming Model for Paper RecyclingSystem. Omega, 36, 405–417.
  5. Neto, J.Q.F, Ruwaard , J.A.B., Nunen , E.E.V., Hoek , E.V. 2008. Designing and evaluating sustainable logistics networks” , International Journal of Production Economics. 111, 195-208.
  6. Validi , S., Bhattacharya, A. and Byrne, P.J. 2014a. A Case Analysis of a Sustainable Food Supply Chain Distribution System – A Multi-Objective Approach. International Journal of Production Economics , 152, 71-87.
  7. Validi , S., Bhattacharya, A. and Byrne, P.J. 2014b. Integrated Low- carbon Distribution System for the demand side of a product Distribution supply chain: A doe –guided Mopso Optimiser based solution Approach.International Journal of Production Research , 52(10),3074-3096.
  8. Melo, M. T., Nickel, S. and Saldanha-da-Gama, F. 2009. Facility Location and Supply Chain Management –A Review.European Journal of Operational Research , 196, 401–412.
  9. Blackhurst , J., Wu, T. and P.O. Grady , P.O. 2010. PCDM: A Decision support modelling methodology for supply chain, Products and Process Design Decisions. Journal of Operations Management , 23, 325-343.
  10. Arikan, E., Fichtinger, J. and Ries, J.M. (2013), “Impact of Transportation Lead-time Variability on the Economic and Environmental Performance of Inventory Systems” International Journal of Production Economics. doi:10.1016/j.ijpe.2013.06.005.
  11. Gan, T.S., and Grunow, M.(2013), “Concurrent Product - Supply Chain Design: A Conceptual Framework & Literature Review” , Proceedia CIRP , Vol. 7, pp 91–96.
  12. Brandenburg, M. and Schiling, R. 2012. Value impacts of dynamics and uncertainty in tactical supply chain design for new product Introduction”, Business Informatics , Decision Theory and Practice , edited by M. Geiger , J. Geldermann and S. Vob , 23-46 , Aachen :Shaker.
  13. Brandenburg, M. , Kuhn , H. , Schiling, R. and Seuring, S. 2014 b. Performance and value oriented decision support for supply chain configuration. Logistics Research, 7(1),doi:10.1007/s12159-014-0118-8.
  14. Brandenburg, M. 2015. Low Carbon Supply Chain Configuration for a New Product – A Goal Programming Approach.International Journal of Production Research, 53 (21), 6588-6610, DOI :10.1080/00207543.2015.1005761.
  15. Bazan, E., Jaber, M.Y. & Zanoni, S. 2017. "Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms," International Journal of Production Economics, Elsevier, 183(PB), 394-408.
  16. Negahban, A.& Dehghanimohammadabadi, M.2018. "Optimizing the supply chain configuration and production-sales policies for new products over multiple planning horizons," International Journal of Production Economics, Elsevier, 196(C), 150-162.
  17. Aggarwal , R. , Singh S.P. and Kapur P.K.2018. Integrated Dynamic Vendor Selection Problem Considering Time Varying Stochastic Data , Benchmarking: An International Journal ,25(3), 21-23, Emerald Publishing .
  18. Aggarwal , R and Bakshi, A. 2015.Chance Constraint based supplier selection using NSGAII" , Procedia Computer Science, Elsevier Science Direct , 48(1), 699–705.
  19. Aggarwal R., Bakshi A. 2014. Non Dominated Sorting Genetic Algorithm for Chance Constrained Supplier Selection Model with Volume Discounts. In: Nguyen N.T., Attachoo B., Trawiński B., Somboonviwat K. (eds) Asian Conference on Intelligent Information and Database Systems (ACIIDS) , Lecture Notes in Computer Science, LNCS Springer , 8398 (1) , 465-474.
Index Terms

Computer Science
Information Sciences

Keywords

Carbon emissions carbon emissions cap sanitaryware manufacturing industry

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