International Journal of Mathematics Trends and Technology
Volume 34 | Number 2 | Year 2016 | Article Id. IJMTT-V34P516 | DOI : https://doi.org/10.14445/22315373/IJMTT-V34P516
In developing unorganised business sector it is necessary to utilise the resources in optimal way. Analysis of the resources like manpower, material, marketing etc. is essential to entrepreneur. This study addresses the issue that an unorganised business sector faces during the production, their objectives are clear but knowingly or un-knowingly they may over use resources. Here we have collected data form food factory which is producing multi object in a day and massive amount of resource is used during the pre production. Problem has been formulated in LPP and applied linear and exponential function to get efficient solution. Certain adjustment parameter are derived which can further assist entrepreneur to take decision in future. Here LINGO15 is deployed to solve the MLPP. Such a complex problem can be divided in to multi stage and further analyse for more simplicity.
[1] M. L. Fisher, J. H. Hammond, W. R. Obermeyer and A. Raman, “Making supply meet demand”, Harvard Business Review, 72(3), pp. 83–93, 1994.
[2] G. R. Bitran and D. Tirupati, “Tradeoff curves, targeting and balancing in manufacturing queuing networks”, Operations Research, 37(4), pp. 547–564, 1989.
[3] C. S. Tang, “The impact of uncertainty on a production line”, Management Science, 36(12), pp. 1518–1531, 1990.
[4] L. M. Wein, “Dynamic scheduling of a multiclass make-tostock queue”, Operations Research, 4 0(4), pp. 724–735, 1992.
[5] S. J. Erlebacher and M. R. Singh, “The impact of processing time variability on a synchronous assembly line”, Working Paper, University of Michigan, 1993.
[6] J. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor, 1975.
[7] J K SHARMA, Quantitative techniques for managerial decisions, Macmillan India Ltd.
[8] Dalbinder kaur, sathi mukherjee, Kajila Basu,, Solution of multi objective and multi index real –life transportation problem using different fuzzy membership functions, 31st may 2014, Springer science+Busness media New York 2014.
[9] Sujeet Kumar Singh, Shiv Prasad Yadav Modelling and optimization of multi objective non-linear programming problem in intuitionist fuzzy environment .Applied Mathematical Modelling, Volume 39, Issue 16, 15 August 2015, Pages 4617-4629
[10] Salman Nazari-Shirkouhi, Hamed Shakouri, Babak Javadi, Abbas Keramati,Supplier selection and order allocation problem using a two-phase fuzzy multi-objective linear programming. Applied Mathematical Modelling, Volume 37, Issue 22, 15 November 2013, Pages 9308-9323
[11] Mukesh Kumar Mehlawat · Pankaj Gupta Multiobjective credibilistic model for COTS products selection of modular software systems under uncertainty. Published online: 12 October 2014© Springer Science+Business Media New York 2014
[12] Nadarajen Veerapen ,Gabriela Ochoa, Mark Harman, Edmund K. Burke An Integer Linear Programming approach to the single and bi-objective Next Release Problem.
Kirti Patel, Jayesh M. Dhodiya, "Fuzzy theory based solution of multi objective resource allocation problem: A case study of food factory," International Journal of Mathematics Trends and Technology (IJMTT), vol. 34, no. 2, pp. 89-95, 2016. Crossref, https://doi.org/10.14445/22315373/IJMTT-V34P516
PDF 
Abstract 
Keywords 
References 
Citation