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Reseach Article

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
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