{"id":{"repo_id":"ohiolink","oai_identifier":"oai:etd.ohiolink.edu:ohiou1357585830"},"canonical_url":"https://search.dev.ndltd.org/etd/ohiolink/oai:etd.ohiolink.edu:ohiou1357585830","repository":{"repo_id":"ohiolink","name":"OhioLINK","base_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/oai/oai"},"display":{"title":"Heuristics for Multi-period Competitive Pricing Strategies for Manufacturing Companies","abstract":"In this thesis, dynamic competition between two manufacturing companies is analyzed over four quarters in which a competitor and the company are allowed to cut price by 10%, 20%, 30% or do nothing. The competitor cuts the prices based on different profiles such as random, safe or conservative and aggressive. The competitive interaction between companies is based on Sweezy's economic model in which the competitor al-ways has the first move and the response is instantaneous. There are various heuristics developed such as ¿¿¿Beat'em¿¿¿, ¿¿¿Finish'em¿¿¿, ¿¿¿Match'em¿¿¿ and ¿¿¿Forget'em¿¿¿ to achieve maximum profit by price cuts over a year. The performance measure is total profit, which depends on revenue and total cost. The total cost consists of procurement cost, inventory carrying cost, labor cost, machine cost, utility cost and overhead cost. The methodology involves determining demand for our company for a given competitor's price based on log linear equation having cross elasticity of demand as coefficients. For every quantity demanded, a cellular manufacturing system is developed and simulation is performed to obtain the revenue and cost. The heuristics are evaluated on the basis of total profit over a year and it is observed that ¿¿¿Finish¿¿¿em¿¿¿ performs better than the other heuristics.","abstract_html":"In this thesis, dynamic competition between two manufacturing companies is analyzed over four quarters in which a competitor and the company are allowed to cut price by 10%, 20%, 30% or do nothing. The competitor cuts the prices based on different profiles such as random, safe or conservative and aggressive. The competitive interaction between companies is based on Sweezy&#x27;s economic model in which the competitor al-ways has the first move and the response is instantaneous. There are various heuristics developed such as ¿¿¿Beat&#x27;em¿¿¿, ¿¿¿Finish&#x27;em¿¿¿, ¿¿¿Match&#x27;em¿¿¿ and ¿¿¿Forget&#x27;em¿¿¿ to achieve maximum profit by price cuts over a year. The performance measure is total profit, which depends on revenue and total cost. The total cost consists of procurement cost, inventory carrying cost, labor cost, machine cost, utility cost and overhead cost. The methodology involves determining demand for our company for a given competitor&#x27;s price based on log linear equation having cross elasticity of demand as coefficients. For every quantity demanded, a cellular manufacturing system is developed and simulation is performed to obtain the revenue and cost. The heuristics are evaluated on the basis of total profit over a year and it is observed that ¿¿¿Finish¿¿¿em¿¿¿ performs better than the other heuristics.","abstract_has_math":false,"creators":["Pulugurta, Saikishore"],"institution":"Ohio University","degree_name":"Master of Science (MS)","degree_level":"masters","degree_discipline":"Industrial and Systems Engineering (Engineering and Technology)","degree_department":null,"school":null,"contributors":["Suer, Gursel"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-06-13","date_published":"2013-06-13","updated_at":"2026-07-24T03:36:08Z","subjects":["Economics","Industrial Engineering","Manufacturing","competition","heuristics"],"languages":["English"],"rights":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. 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There are various heuristics developed such as ¿¿¿Beat'em¿¿¿, ¿¿¿Finish'em¿¿¿, ¿¿¿Match'em¿¿¿ and ¿¿¿Forget'em¿¿¿ to achieve maximum profit by price cuts over a year. The performance measure is total profit, which depends on revenue and total cost. The total cost consists of procurement cost, inventory carrying cost, labor cost, machine cost, utility cost and overhead cost. The methodology involves determining demand for our company for a given competitor's price based on log linear equation having cross elasticity of demand as coefficients. For every quantity demanded, a cellular manufacturing system is developed and simulation is performed to obtain the revenue and cost. The heuristics are evaluated on the basis of total profit over a year and it is observed that ¿¿¿Finish¿¿¿em¿¿¿ performs better than the other heuristics."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf","p.155","1.79 MB"]},{"key":"dc:title","label":"Title","values":["Heuristics for Multi-period Competitive Pricing Strategies for Manufacturing Companies"]}]}],"canonical_facts":{"dc:contributor":["Suer, Gursel"],"dc:creator":["Pulugurta, Saikishore"],"dc:date":["2013-06-13"],"dc:description":["In this thesis, dynamic competition between two manufacturing companies is analyzed over four quarters in which a competitor and the company are allowed to cut price by 10%, 20%, 30% or do nothing. The competitor cuts the prices based on different profiles such as random, safe or conservative and aggressive. The competitive interaction between companies is based on Sweezy's economic model in which the competitor al-ways has the first move and the response is instantaneous. There are various heuristics developed such as ¿¿¿Beat'em¿¿¿, ¿¿¿Finish'em¿¿¿, ¿¿¿Match'em¿¿¿ and ¿¿¿Forget'em¿¿¿ to achieve maximum profit by price cuts over a year. The performance measure is total profit, which depends on revenue and total cost. The total cost consists of procurement cost, inventory carrying cost, labor cost, machine cost, utility cost and overhead cost. The methodology involves determining demand for our company for a given competitor's price based on log linear equation having cross elasticity of demand as coefficients. For every quantity demanded, a cellular manufacturing system is developed and simulation is performed to obtain the revenue and cost. 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