Setup cost reduction EMQ inventory system with probabilistic defective and rework in multiple shipments management
This paper considers an economic manufacturing quantity (EMQ) model for defective products with imperfect production processes and rework, in which the setup cost is logarithmic function of capital investment. In this study, fixed quantity multiple installments of the finished batch are delivered to...
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Veröffentlicht in: | International journal of system assurance engineering and management 2017-06, Vol.8 (2), p.223-241 |
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description | This paper considers an economic manufacturing quantity (EMQ) model for defective products with imperfect production processes and rework, in which the setup cost is logarithmic function of capital investment. In this study, fixed quantity multiple installments of the finished batch are delivered to customers at a fixed interval of time. We also consider three types of continuous probabilistic defective function to find the associated cost. The way our basic business operations like decision making, marketing strategies, financial management, etc. are done are being reformed with the use of computers and mathematics. In view of that the mathematical modeling and computational algorithm are employed in this study for optimizing the replenishment lot-size and setup cost simultaneously with the objective of minimizing total cost of the EMQ system. The long-run average cost function is derived, its convexity is proved via differential calculus. A computer code using the software Matlab is developed to derive the optimal solution and present numerical examples to illustrate the model. |
doi_str_mv | 10.1007/s13198-016-0418-2 |
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In this study, fixed quantity multiple installments of the finished batch are delivered to customers at a fixed interval of time. We also consider three types of continuous probabilistic defective function to find the associated cost. The way our basic business operations like decision making, marketing strategies, financial management, etc. are done are being reformed with the use of computers and mathematics. In view of that the mathematical modeling and computational algorithm are employed in this study for optimizing the replenishment lot-size and setup cost simultaneously with the objective of minimizing total cost of the EMQ system. The long-run average cost function is derived, its convexity is proved via differential calculus. A computer code using the software Matlab is developed to derive the optimal solution and present numerical examples to illustrate the model.</description><identifier>ISSN: 0975-6809</identifier><identifier>EISSN: 0976-4348</identifier><identifier>DOI: 10.1007/s13198-016-0418-2</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Algorithms ; Business ; Calculus ; Computer simulation ; Continuity (mathematics) ; Convexity ; Cost engineering ; Cost function ; Cost reduction ; Customers ; Decision making ; Differential calculus ; Economic models ; Engineering ; Engineering Economics ; Financial management ; Inventory management ; Investment ; Logistics ; Marketing ; Mathematical analysis ; Mathematical models ; Optimization ; Organization ; Original Article ; Probability theory ; Production planning ; Quality Control ; Reliability ; Safety and Risk ; Software</subject><ispartof>International journal of system assurance engineering and management, 2017-06, Vol.8 (2), p.223-241</ispartof><rights>The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2016</rights><rights>Copyright Springer Science & Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-578243d52411d6a88680a102d4424c8f7d06795ab243cd7bade9ce4b42b102f33</citedby><cites>FETCH-LOGICAL-c316t-578243d52411d6a88680a102d4424c8f7d06795ab243cd7bade9ce4b42b102f33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s13198-016-0418-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s13198-016-0418-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Priyan, S.</creatorcontrib><creatorcontrib>Uthayakumar, R.</creatorcontrib><title>Setup cost reduction EMQ inventory system with probabilistic defective and rework in multiple shipments management</title><title>International journal of system assurance engineering and management</title><addtitle>Int J Syst Assur Eng Manag</addtitle><description>This paper considers an economic manufacturing quantity (EMQ) model for defective products with imperfect production processes and rework, in which the setup cost is logarithmic function of capital investment. In this study, fixed quantity multiple installments of the finished batch are delivered to customers at a fixed interval of time. We also consider three types of continuous probabilistic defective function to find the associated cost. The way our basic business operations like decision making, marketing strategies, financial management, etc. are done are being reformed with the use of computers and mathematics. In view of that the mathematical modeling and computational algorithm are employed in this study for optimizing the replenishment lot-size and setup cost simultaneously with the objective of minimizing total cost of the EMQ system. The long-run average cost function is derived, its convexity is proved via differential calculus. A computer code using the software Matlab is developed to derive the optimal solution and present numerical examples to illustrate the model.</description><subject>Algorithms</subject><subject>Business</subject><subject>Calculus</subject><subject>Computer simulation</subject><subject>Continuity (mathematics)</subject><subject>Convexity</subject><subject>Cost engineering</subject><subject>Cost function</subject><subject>Cost reduction</subject><subject>Customers</subject><subject>Decision making</subject><subject>Differential calculus</subject><subject>Economic models</subject><subject>Engineering</subject><subject>Engineering Economics</subject><subject>Financial management</subject><subject>Inventory management</subject><subject>Investment</subject><subject>Logistics</subject><subject>Marketing</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Optimization</subject><subject>Organization</subject><subject>Original Article</subject><subject>Probability theory</subject><subject>Production planning</subject><subject>Quality Control</subject><subject>Reliability</subject><subject>Safety and Risk</subject><subject>Software</subject><issn>0975-6809</issn><issn>0976-4348</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kLtOwzAUhi0EEhX0AdgsMRt8S-KMqCoXqQghYLYc22ldcsN2WvXtcQkDC5PP8H2_z_kBuCL4hmBc3AbCSCkQJjnCnAhET8AMl0WOOOPi9GfOUC5weQ7mIWwxxoQSTjmeAf9m4zhA3YcIvTWjjq7v4PL5FbpuZ7vY-wMMhxBtC_cubuDg-0pVrnEhOg2NrW0ydhaqziR_3_vPJMJ2bKIbGgvDxg1tigmwVZ1a2-N8Cc5q1QQ7_30vwMf98n3xiFYvD0-LuxXSjOQRZYWgnJmMckJMroRIByiCqeFpcy3qwuC8KDNVJUqbolLGltryitMqUTVjF-B6yk07f402RLntR9-lLyUpsRAlY4wnikyU9n0I3tZy8K5V_iAJlsd25dSuTO3KY7uSJodOTkhst7b-T_K_0jdkU34p</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Priyan, S.</creator><creator>Uthayakumar, R.</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20170601</creationdate><title>Setup cost reduction EMQ inventory system with probabilistic defective and rework in multiple shipments management</title><author>Priyan, S. ; Uthayakumar, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-578243d52411d6a88680a102d4424c8f7d06795ab243cd7bade9ce4b42b102f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Business</topic><topic>Calculus</topic><topic>Computer simulation</topic><topic>Continuity (mathematics)</topic><topic>Convexity</topic><topic>Cost engineering</topic><topic>Cost function</topic><topic>Cost reduction</topic><topic>Customers</topic><topic>Decision making</topic><topic>Differential calculus</topic><topic>Economic models</topic><topic>Engineering</topic><topic>Engineering Economics</topic><topic>Financial management</topic><topic>Inventory management</topic><topic>Investment</topic><topic>Logistics</topic><topic>Marketing</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Optimization</topic><topic>Organization</topic><topic>Original Article</topic><topic>Probability theory</topic><topic>Production planning</topic><topic>Quality Control</topic><topic>Reliability</topic><topic>Safety and Risk</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Priyan, S.</creatorcontrib><creatorcontrib>Uthayakumar, R.</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of system assurance engineering and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Priyan, S.</au><au>Uthayakumar, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Setup cost reduction EMQ inventory system with probabilistic defective and rework in multiple shipments management</atitle><jtitle>International journal of system assurance engineering and management</jtitle><stitle>Int J Syst Assur Eng Manag</stitle><date>2017-06-01</date><risdate>2017</risdate><volume>8</volume><issue>2</issue><spage>223</spage><epage>241</epage><pages>223-241</pages><issn>0975-6809</issn><eissn>0976-4348</eissn><abstract>This paper considers an economic manufacturing quantity (EMQ) model for defective products with imperfect production processes and rework, in which the setup cost is logarithmic function of capital investment. In this study, fixed quantity multiple installments of the finished batch are delivered to customers at a fixed interval of time. We also consider three types of continuous probabilistic defective function to find the associated cost. The way our basic business operations like decision making, marketing strategies, financial management, etc. are done are being reformed with the use of computers and mathematics. In view of that the mathematical modeling and computational algorithm are employed in this study for optimizing the replenishment lot-size and setup cost simultaneously with the objective of minimizing total cost of the EMQ system. The long-run average cost function is derived, its convexity is proved via differential calculus. 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subjects | Algorithms Business Calculus Computer simulation Continuity (mathematics) Convexity Cost engineering Cost function Cost reduction Customers Decision making Differential calculus Economic models Engineering Engineering Economics Financial management Inventory management Investment Logistics Marketing Mathematical analysis Mathematical models Optimization Organization Original Article Probability theory Production planning Quality Control Reliability Safety and Risk Software |
title | Setup cost reduction EMQ inventory system with probabilistic defective and rework in multiple shipments management |
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