<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2d1 20170631//EN" "JATS-journalpublishing1.dtd">
<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="general-sciences" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1679</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"/><article-categories><subj-group subj-group-type="heading"><subject>General Sciences</subject></subj-group></article-categories><title-group><article-title>Atypical Restricted Transportation Modeling of Wholesale Vegetable Procurement&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Venugopal</surname><given-names>T.</given-names></name></contrib><contrib contrib-type="author"><name><surname>Priyadarshini</surname><given-names>S. Indira</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>22</day><month>05</month><year>2017</year></pub-date><volume>) </volume><issue> I</issue><fpage>146</fpage><lpage>151</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Introduction: This paper is the second in a series of papers on modeling mathematically and optimizing the whole sale vegetable business. It addresses problems faced by vendors critically in transportation of vegetables. A typical wholesale market orders vegetables from various places at varying prices which get transported by various means of transport from those places to that wholesale vegetable market. Aim: It aims to minimize the cost of vegetables considering their availability at the sources, the demand for each vegetable at the wholesale market. This problem conforms to a atypical transportation problem wherein there are restrictions on the supply of each vegetable at each available place. This paper frames the model in spread sheet and solves for optimum solution using open solver as the problem involves hundreds of variables and constraints. Methodology: The case study methodology has been done at Arakkonam Wholesale market. Result: As a result, distances more than 100 km, up to 2.5 tons one-fourth is charged, from 2.5 tons to 5.0 tons half charge applies and from 5.0 tons to 10.00 tons full charges will apply. Different formulae can be applied depending on the practice of sharing. This mathematical modeling and optimization of transporting vegetables from many sources to the wholesale market can help to purchase vegetables at minimal cost by entering the cost and requirements on any particular day. Conclusion: The researcher concludes that this model can be extended effortlessly to any number of vegetables and any number of source cities and as such will prove to be an effective way to optimize vegetable business.&#13;
</p></abstract><kwd-group><kwd>Vegetables</kwd><kwd> Market</kwd><kwd> Transportation</kwd><kwd> Spreadsheet modeling</kwd><kwd> Open solver</kwd></kwd-group></article-meta></front></article>
