Developing a Multi-Product Economic Production Quantity Model to Fuzzy Sense Using of Signed Distance Method
Abstract: Today, inventory
management issue has become a concern for a lot of organizations and it
is the most
necessary issues for
organizations by production
and inventory plan implementing. Among inventory models,
models based on economic production quantity are of the most
practical models. Each
of the economic
production quantity is
based on set of parameters that are estimated by experts and
decision makers. Since uncertainty exists in real world, it is difficult for
experts to estimate parameters, accurately. Therefore, in such situation, using
economic production quantity under non-integer conditions would be more
appropriate than the crisp conditions and also under such conditions
organizations have to determine their cumula-tive production
in their supply
chain in fuzzy
sense. In this
paper, a multi-product
economic production quantity (EPQ) model, under fuzzy conditions, has
been fuzzified and optimized by using signed distance method in order to
minimize all costs. a numerical example and sensitivity analysis have also
provided to illustrate the practical use of the proposed method.
Keywords: Defuzzification,
signed distance, fuzzy set, multi-product economic production quan-tity,
inventory
Author: Mohammad Khodashenas,
Hamidreza Salmani Mojaveri, Fatemeh Mohammadnezhad Chari
Journal Code: jptindustrigg130006
