PARABOLIC DENSE CLOUDY FUZZY MODEL WITH DEMAND DEPENDENT PRODUCTION RATE IN AN IMPRECISE PRODUCTION PROCESS

In this paper we develop a classical economic production lot size model of a manufactured item in a inadequate production process in which the ordering cost is fixed and shortage is not allowed. In this model the valuation of an item is considered as a parabolic cloudy fuzzy number and production rate is depends on demand. In the previous studies, fuzziness of parameters of the model is presented in the form of fuzzy numbers using the membership function only. Parabolic dense cloudy intuitionistic fuzzy numbers are found to be more generalized than fuzzy numbers and have the capability to express the fuzziness of parameters of the model in a more generalized way using both membership and non-membership functions. The presented model is solved in crisp, fuzzy and Intuitionistic fuzzy setup using proposed generalize and defuzzification method with minimum loss of data. The present model is solved by DBPSO algorithm to determine optimal values. The validity of the proposed model and parameter sensitivity analysis is presented to justify the idea by the numerical analysis.

Publication Details

Journal
cyberleninka.ru
Published
2025-01-01
DOI
https://doi.org/10.24412/1932-2321-2025-284-295-307
Primary Topic
Supply Chain and Inventory Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PARABOLIC DENSE CLOUDY FUZZY MODEL WITH DEMAND DEPENDENT PRODUCTION RATE IN AN IMPRECISE PRODUCTION PROCESS

cyberleninka.ru
Supply Chain and Inventory Management
article

PARABOLIC DENSE CLOUDY FUZZY MODEL WITH DEMAND DEPENDENT PRODUCTION RATE IN AN IMPRECISE PRODUCTION PROCESS

article en

Abstract

In this paper we develop a classical economic production lot size model of a manufactured item in a inadequate production process in which the ordering cost is fixed and shortage is not allowed. In this model the valuation of an item is considered as a parabolic cloudy fuzzy number and production rate is depends on demand. In the previous studies, fuzziness of parameters of the model is presented in the form of fuzzy numbers using the membership function only. Parabolic dense cloudy intuitionistic fuzzy numbers are found to be more generalized than fuzzy numbers and have the capability to express the fuzziness of parameters of the model in a more generalized way using both membership and non-membership functions. The presented model is solved in crisp, fuzzy and Intuitionistic fuzzy setup using proposed generalize and defuzzification method with minimum loss of data. The present model is solved by DBPSO algorithm to determine optimal values. The validity of the proposed model and parameter sensitivity analysis is presented to justify the idea by the numerical analysis.

cyberleninka.ru
Decent work and economic growth
Openalex Percentile: Top 36%
Supply Chain and Inventory Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PARABOLIC DENSE CLOUDY FUZZY MODEL WITH DEMAND DEPENDENT PRODUCTION RATE IN AN IMPRECISE PRODUCTION PROCESS · cyberleninka.ru (2025) | TGRS Research Map | TGRS