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Production Planning for Animal Food Industry under Demand Uncertainty

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/></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>Production Planning for Animal Food Industry under Demand Uncertainty</title> <meta name="description" content="Production Planning for Animal Food Industry under Demand Uncertainty"> <meta name="keywords" content="Animal food, Stochastic linear programming, Production planning, Demand Uncertainty."> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <meta name="citation_title" content="Production Planning for Animal Food Industry under Demand Uncertainty"> <meta name="citation_author" content="Pirom Thangchitpianpol"> <meta name="citation_author" content="Suttipong Jumroonrut"> <meta name="citation_publication_date" content="2014/07/01"> <meta name="citation_journal_title" content="International Journal of Industrial and Manufacturing Engineering"> <meta name="citation_volume" content="8"> 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href="https://publications.waset.org/search?q=Pirom%20Thangchitpianpol">Pirom Thangchitpianpol</a>, <a href="https://publications.waset.org/search?q=Suttipong%20Jumroonrut"> Suttipong Jumroonrut</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>This research investigates the distribution of food demand for animal food and the optimum amount of that food production at minimum cost. The data consist of customer purchase orders for the food of laying hens, price of food for laying hens, cost per unit for the food inventory, cost related to food of laying hens in which the food is out of stock, such as fine, overtime, urgent purchase for material. They were collected from January, 1990 to December, 2013 from a factory in Nakhonratchasima province. The collected data are analyzed in order to explore the distribution of the monthly food demand for the laying hens and to see the rate of inventory per unit. The results are used in a stochastic linear programming model for aggregate planning in which the optimum production or minimum cost could be obtained. Programming algorithms in MATLAB and tools in Linprog software are used to get the solution. The distribution of the food demand for laying hens and the random numbers are used in the model. The study shows that the distribution of monthly food demand for laying has a normal distribution, the monthly average amount (unit: 30 kg) of production from January to December. The minimum total cost average for 12 months is Baht 62,329,181.77. Therefore, the production planning can reduce the cost by 14.64% from real cost.</p> <iframe src="https://publications.waset.org/9998855.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Animal%20food" title="Animal food">Animal food</a>, <a href="https://publications.waset.org/search?q=Stochastic%20linear%20programming" title=" Stochastic linear programming"> Stochastic linear programming</a>, <a href="https://publications.waset.org/search?q=Production%20planning" title=" Production planning"> Production planning</a>, <a href="https://publications.waset.org/search?q=Demand%20Uncertainty." title=" Demand Uncertainty."> Demand Uncertainty.</a> </p> <p class="card-text"><strong>Digital Object Identifier (DOI):</strong> <a href="https://doi.org/10.5281/zenodo.1093892" target="_blank">doi.org/10.5281/zenodo.1093892</a> </p> <a href="https://publications.waset.org/9998855/production-planning-for-animal-food-industry-under-demand-uncertainty" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9998855/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9998855/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/9998855/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/9998855/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/9998855/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/9998855/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/9998855/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/9998855/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/9998855/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/9998855/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/9998855.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">1915</span> </span> <p class="card-text"><strong>References:</strong></p> <br>[1] OIE. (2014, Jan 11). " Industrial indices.” Available: http://www.oie.go.th/en/academic/index . <br>[2] H. Wagner, and T.M. Whitin, "Dynamic Version of Economic Lot Size Model,” Management Science, 1958, pp. 89-96. <br>[3] A. F. Veinott, Operation Research Application and Algorithms , Unpublished class note for the Program In Operation Research, Stanford University, 1963, pp. 1096-1097. <br>[4] S. M. Gupta and L. Brennan, "Heuristic and Optimal Approaches to Lot-sizing Incorporating Backorder : An Empirical Evaluation,” INT.JPROD.RES, vol. 30, 1992, pp. 2813-2824. <br>[5] G. Hadley and T. M. Whitin, "Analysis of Inventory Systems,” NJ, 1963, pp 42-50. <br>[6] V. Rungreunganun and et.al , "Dynamic Lot sizing with Variable Discrete Random Demand ” , Kasetsart University, Thailand, 2003, pp. 18-20. <br>[7] P. Charnsethikul, P. Sang-Chuto, P. Tongkhow and et.al, "Aggregate planning under uncertain demands by stochastic programming technique,” OR.Net, Thailand, 2008, pp. 108-202. <br>[8] W. Sangma, and P. Tongkhow. "A Stochastic Dynamic Linear Programming Approach for Aggregate Planning Problem of Steel Industries in Thailand,” The CET 2011, IEEE Proceedings, Shanghai, 2011, pp.303-306. <br>[9] M. K. Zanjani, M. Nourelfath and D. Ait-Kadi, "A Multi-Stage Stochastic Programming Approach for Production Planning with Uncertainty in the Quality of Raw Materials and Demand”, CIRRELT, Canada, 2009, pp.1-22 </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">&copy; 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">&times;</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>

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