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Volume 29 (2024)
Volume 29, Issue 1 (In Progress)
Pg 1 - 37 (June 2024)
Volume 28 (2023)
Volume 28, Issue 2
Pg 65 - 119 (December 2023)
Volume 28, Issue 1
Pg 1 - 64 (June 2023)
Volume 27 (2022)
Volume 27, Issue 2
Pg 169 - 273 (December 2022)
Volume 27, Issue 1
Pg 1 - 167 (June 2022)
Volume 26 (2021)
Volume 26, Issue 2
Pg 103 - 209 (December 2021)
Volume 26, Issue 1
Pg 1 - 101 (June 2021)
Volume 25 (2020)
Volume 25, Issue 2
Pg 85 - 142 (December 2020)
Volume 25, Issue 1
Pg 1 - 84 (June 2020)
Volume 24 (2019)
Volume 24, Issue 2
Pg 55 - 100 (December 2019)
Volume 24, Issue 1
Pg 1 - 54 (June 2019)
Volume 23 (2018)
Volume 23, Issue 2-3
Pg 73 - 127 (November 2018)
Volume 23, Issue 1
Pg 1 - 72 (May 2018)
Volume 22 (2017)
Volume 22, Issue 4
Pg 193 - 223 (December 2017)
Volume 22, Issue 3
Pg 137 - 191 (September 2017)
Volume 22, Issue 2
Pg 71 - 136 (June 2017)
Volume 22, Issue 1
Pg 1 - 70 (March 2017)
Volume 21 (2016)
Volume 21, Issue 4
Pg 265 - 315 (December 2016)
Volume 21, Issue 3
Pg 187 - 264 (September 2016)
Volume 21, Issue 2
Pg 107 - 185 (June 2016)
Volume 21, Issue 1
Pg 1 - 105 (March 2016)
Volume 20 (2015)
Volume 20, Issue 2
Pg 97 - 188 (December 2015)
Volume 20, Issue 1
Pg 1 - 96 (September 2015)
Volume 19 (2015)
Volume 19, Issue 2
Pg 73 - 169 (June 2015)
Volume 19, Issue 1
Pg 1 - 72 (March 2015)
Volume 18 (2014)
Volume 18, Issue 2
Pg 87 - 169 (December 2014)
Volume 18, Issue 1
Pg 1 - 86 (September 2014)
Volume 17 (2014)
Volume 17, Issue 2
Pg 95 - 188 (June 2014)
Volume 17, Issue 1
Pg 1 - 93 (March 2014)
Volume 16 (2013)
Volume 16, Issue 2
Pg 65 - 123 (December 2013)
Volume 16, Issue 1
Pg 1 - 64 (October 2013)
Volume 15 (2013)
Volume 15, Issue 2
Pg 73 - 111 (August 2013)
Volume 15, Issue 1
Pg 1 - 71 (June 2013)
Volume 14 (2013)
Volume 14, Issue 2
Pg 71 - 132 (April 2013)
Volume 14, Issue 1
Pg 1 - 69 (February 2013)
Volume 13 (2012)
Volume 13, Issue 2
Pg 77 - 142 (December 2012)
Volume 13, Issue 1
Pg 1 - 75 (October 2012)
Volume 12 (2012)
Volume 12, Issue 2
Pg 79 - 143 (August 2012)
Volume 12, Issue 1
Pg 1 - 78 (June 2012)
Volume 11 (2012)
Volume 11, Issue 2
Pg 65 - 129 (April 2012)
Volume 11, Issue 1
Pg 1 - 64 (February 2012)
Volume 10 (2011)
Volume 10, Issue 2
Pg 77 - 139 (December 2011)
Volume 10, Issue 1
Pg 1 - 75 (October 2011)
Volume 9 (2011)
Volume 9, Issue 2
Pg 93 - 197 (August 2011)
Volume 9, Issue 1
Pg 1 - 91 (June 2011)
Volume 8 (2011)
Volume 8, Issue 2
Pg 61 - 124 (April 2011)
Volume 8, Issue 1
Pg 1 - 60 (February 2011)
Volume 7 (2010)
Volume 7, Issue 2
Pg 61 - 119 (December 2010)
Volume 7, Issue 1
Pg 1 - 59 (October 2010)
Volume 6 (2010)
Volume 6, Issue 2
Pg 95 - 179 (August 2010)
Volume 6, Issue 1
Pg 1 - 94 (June 2010)
Volume 5 (2010)
Volume 5, Issue 2
Pg 81 - 179 (April 2010)
Volume 5, Issue 1
Pg 1 - 80 (February 2010)
Volume 4 (2009)
Volume 4, Issue 3
Pg 237 - 355 (October 2009)
Volume 4, Issue 2
Pg 121 - 236 (June 2009)
Volume 4, Issue 1
Pg 1 - 120 (February 2009)
Volume 3 (2008)
Volume 3, Issue 3
Pg 255 - 387 (October 2008)
Volume 3, Issue 2
Pg 131 - 254 (June 2008)
Volume 3, Issue 1
Pg 1 - 129 (February 2008)
Volume 2 (2007)
Volume 2, Issue 3
Pg 217 - 320 (October 2007)
Volume 2, Issue 2
Pg 109 - 216 (June 2007)
Volume 2, Issue 1
Pg 1 - 108 (February 2007)
Volume 1 (2006)
Volume 1, Issue 3
Pg 187 - 271 (October 2006)
Volume 1, Issue 2
Pg 83 - 185 (June 2006)
Volume 1, Issue 1
Pg 1 - 81 (February 2006)
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▼pphmjopenaccess.com▼
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Advances in Fuzzy Sets and Systems
Advances in Fuzzy Sets and Systems
Volume 3, Issue 2, Pages 157 - 173 (June 2008)
OPTIMAL FUZZY PRODUCTION INVENTORY MODEL OVER TIME
A. Nagoor Gani (India) and P. Palaniammal (India)
Abstract:
In this paper, we introduce the fuzzy production scheduling inventory model over a finite number of successive periods with fuzzy parameters which are real numbers. The fuzzy total production inventory cost of the model using fuzzy arithmetic operations of function principle is proposed. The aim is to determine the fuzzy optimal solution (fuzzy minimal production cost) of the model using the graded mean integration representation formula for defuzzifying fuzzy production inventory cost and to represent the optimal solutions which are crisp real numbers. Moreover, when fuzzy parameters are all crisp real numbers, the optimal solution of the proposed model can be found out to meet that of classical production scheduling model over a finite number of periods with crisp cost parameters.
Keywords and phrases:
crisp production cost, fuzzy production associative memory, fuzzy production cost, function principle, graded mean integration representation.
Number of Downloads:
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P-ISSN: 0973-421X
Journal Stats
Publication count:
291
Citation count (Google Scholar):
1225
h10-index (Google Scholar):
30
h-index (Google Scholar):
16
Downloads :
88499
Views:
253615
Downloads/publish articles:
304.12
Citations (Google Scholar)/publish articles:
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