Inventory model of deteriorating items with two-warehouse and stock dependent demand using genetic algorithm in fuzzy environment
| Autor: | Rachna Kumari, S.R. Singh, Dharmendra Yadav |
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| Rok vydání: | 2012 |
| Předmět: |
Operations research
Purchase cost Management Science and Operations Research Fuzzy logic Profit (economics) Stock-taking Warehouse Time value of money possibility/necessity measures time value of money lcsh:T58.6-58.62 genetic algorithm Economics lcsh:Management information systems Operations management Market place inflation deterioration Stock (geology) |
| Zdroj: | Yugoslav Journal of Operations Research, Vol 22, Iss 1, Pp 51-78 (2012) |
| ISSN: | 1820-743X 0354-0243 |
| DOI: | 10.2298/yjor100219005y |
| Popis: | Multi-item inventory model for deteriorating items with stock dependent demand under two-warehouse system is developed in fuzzy environment (purchase cost, investment amount and storehouse capacity are imprecise ) under inflation and time value of money. For display and storage, the retailers hire one warehouse of finite capacity at market place, treated as their own warehouse (OW), and another warehouse of imprecise capacity which may be required at some place distant from the market, treated as a rented warehouse (RW). Joint replenishment and simultaneous transfer of items from one warehouse to another is proposed using basic period (BP) policy. As some parameters are fuzzy in nature, objective (average profit) functions as well as some constraints are imprecise in nature, too. The model is formulated so to optimize the possibility/necessity measure of the fuzzy goal of the objective functions, and the constraints satisfy some pre-defined necessity. A genetic algorithm (GA) is used to solve the model, which is illustrated on a numerical example. Keywords: Possibility/Necessity Measures, Inflation, Time Value of Money, Deterioration, Genetic Algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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