Multiobjective Multi-Product Production Planning Problem Using Intuitionistic and Neutrosophic Fuzzy Programming

In this article, a multiobjective multiproduct production planning (MOMPP) problem discussed for a hardware firm. The hardware firm produces various types of hardware locks and other items in a production run. The firm manager's objectives are minimizing the production cost and inventory holdin...

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Bibliographic Details
Published in:IEEE access Vol. 9; pp. 37466 - 37486
Main Authors: Khan, Mohammad Faisal, Haq, Ahteshamul, Ahmed, Aquil, Ali, Irfan
Format: Journal Article
Language:English
Published: Piscataway IEEE 2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Aggregates
Decision making
Hardware
Interval-valued trapezoidal neutrosophic numbers
intuitionistic fuzzy programming
Linear programming
Locks
multiobjective optimization
multiproduct production planning
neutrosophic programming
Optimization
Planning
Product information
Production
Production costs
Production planning
Programming
ISSN:2169-3536, 2169-3536
Online Access:Get full text
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Summary:In this article, a multiobjective multiproduct production planning (MOMPP) problem discussed for a hardware firm. The hardware firm produces various types of hardware locks and other items in a production run. The firm manager's objectives are minimizing the production cost and inventory holding cost while maximizing the net profit subject to some system constraints. The multiproduct production planning is solved with the last production run information precisely known to the decision-maker, and finally, the model is solved using the intuitionistic and neutrosophic programming approaches, respectively. Also, the multiproduct production planning problem is discussed for situations when the product information is vague. The interval-valued trapezoidal neutrosophic numbers used to define this Vagueness. The multiobjective multiproduct production planning problem under fuzziness is solved using the neutrosophic compromise programming. The stepwise solution procedures are discussed using the case study.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3063725