Geodesic
Multi-Item Fuzzy Inventory Problem With Space Constraint Via Geometric Programming Method
Yugoslav journal of operations research, Tome 16 (2006) no. 1, p. 55 Cet article a éte moissonné depuis la source eLibrary of Mathematical Institute of the Serbian Academy of Sciences and Arts

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In this paper, a multi-item inventory model with space constraint is developed in both crisp and fuzzy environment. A profit maximization inventory model is proposed here to determine the optimal values of demands and order levels of a product. Selling price and unit price are assumed to be demand-dependent and holding and set-up costs sock dependent. Total profit and warehouse space are considered to be vague and imprecise. The impreciseness in the above objective and constraint goals has been expressed by fuzzy linear membership functions. The problem is then solved using modified geometric programming method. Sensitivity analysis is also presented here.
Classification : 90C70 90B05
Keywords: Inventory, fuzzy programming, and modified geometric programming. 
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     author = {Nirmal Kumar Mandal and Tapan Kumar Roy and Manoranjan Maiti},
     title = {Multi-Item {Fuzzy} {Inventory} {Problem} {With} {Space} {Constraint} {Via} {Geometric} {Programming} {Method}},
     journal = {Yugoslav journal of operations research},
     pages = {55 },
     year = {2006},
     volume = {16},
     number = {1},
     zbl = {1106.90079},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/YJOR_2006_16_1_a3/}
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Nirmal Kumar Mandal; Tapan Kumar Roy; Manoranjan Maiti. Multi-Item Fuzzy Inventory Problem With Space Constraint Via Geometric Programming Method. Yugoslav journal of operations research, Tome 16 (2006) no. 1, p. 55 . http://geodesic.mathdoc.fr/item/YJOR_2006_16_1_a3/