Multi-objective production planning problem: a case study for optimal production

Haq, Ahteshamul; Kamal, Murshid; Gupta, Srikant; Ali, Irfan

doi:10.1504/ijor.2020.111339

Cited by 2 publications

(1 citation statement)

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“…The coefficients of the left side of the constraints are given in Table 4. m = [10,12] or [12,14] 2 MC m = [15,17] or [17,19] or [19,21] ---1 MC l = [3,5] or [5,7] 2 MC l = [7,9] or [9,11] or [11,13] 3 MC l = [6,8] or [8,10] 1 MC g = [8,10] or [10,12] or [12,14] 2 MC g = [13,15] or [15,17] 3 MC g = [15,17] or [17,19] 1 MC s = [4,6] or [6,8] ---3 MC s = [12,14] or [14,16] or [16,18] ---2 MC d = [10,12] or [12,…”

Section: Numerical Illustrationmentioning

confidence: 99%

Interval-valued Trapezoidal Neutrosophic and Multi-Choice Parameters for Multi-objective Production Planning Problem

Haq,

Khan,

Ahmed

2024

Preprint

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An intuitionistic multi-objective programming problem with interval-valued trapezoidal neutrosophic (IVTN) and multi-choice interval type has been considered in this paper. The coefficients of objective functions and parameters of the left side of the constraints are in the multi-choice environment, and the right-hand side of the constraints are in IVTN number type. The formulated problem’s multi-choice parameters were transformed into the deterministic form using the binary variable transformation technique. A procedure is defined to change the IVTN number into the deterministic form. Then, intuitionistic fuzzy programming with two different scalarization models has been used to achieve each membership goal’s highest degree and obtain a satisfactory decision-making solution. Finally, a numerical case study for production planning is explored to validate the work’s efficiency and usefulness.

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Section: Numerical Illustrationmentioning

confidence: 99%

Interval-valued Trapezoidal Neutrosophic and Multi-Choice Parameters for Multi-objective Production Planning Problem

Haq,

Khan,

Ahmed

2024

Preprint

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

et al. 2021

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In this paper, 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 decisionmaker, 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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Multi-objective production planning problem: a case study for optimal production

Cited by 2 publications

References 0 publications

Interval-valued Trapezoidal Neutrosophic and Multi-Choice Parameters for Multi-objective Production Planning Problem

Interval-valued Trapezoidal Neutrosophic and Multi-Choice Parameters for Multi-objective Production Planning Problem

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

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