Minimum-cost capacitated fuzzy network, fuzzy linear programming formulation, and perspective data analytics to minimize the operations cost of American airlines

Khan, Iqbal A.; Rafique, Faisal

doi:10.1007/s00500-020-05228-5

Cited by 7 publications

(3 citation statements)

References 60 publications

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“…Beberapa penelitian yang mengaplikasikan linear programming untuk meminimasi total cost adalah penelitian Parlesak et al (2016), Kimutai et al (2019), Jain et al (2020), Romanova (2019), Mohd Baki & Cheng (2020), Khan & Faisal (2021), Chandrawat et al (2017), Du et al (2018), Ehmke et al (2018) dan Lauinger et al, (2016). Penelitian lainya menggunakan laba sebagai fungsi tujuan, yaitu penelitian Sadeghian & Ardehali (2016), Indah & Sari (2019), Wang et al (2018), Akpan & Iwok (2016), Krisnadewi & Setiawan (2018) dan Sudhana (2017).…”

Section: Pendahuluanunclassified

Kombinasi Produksi Optimal Pada Produk Ud. Serayu Pejaten Tabanan

Buana

Purnawati

2021

EJMUNUD

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Production planning is series of activities to determine a production strategy to meet consumer demand. An optimal production resulting in maximum profit. The purpose of this study is to determine the optimal production combination at UD. Serayu in Pejaten Village, Kerambitan District, Tabanan Regency. This study uses linear programming analysis and analysis of calculating business net income. Based on the results of linear programming analysis using POMQM for Windows, the company's optimal production combination are 30,000 units, Terracotta Bricks 4,536 units, Pressed Roof Tile 24,600 units and Bubungan (roof) 20,400 units. The net profit generated for one month is Rp. 71,208,038.02 while the net profit generated by producing the optimal number of product combinations is Rp. 75,849,726.02. Linear programming analysis helps companies determine the optimal production combination for limited resources and analysis of net profit helps to compare operating profits before and after the optimal production combination. Keywords: production optimization, linear programming, maximum profit

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Section: Pendahuluanunclassified

Kombinasi Produksi Optimal Pada Produk Ud. Serayu Pejaten Tabanan

Buana

Purnawati

2021

EJMUNUD

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“…In recent years, FLP has been used in areas such as finance, energy, and transportation [9][10][11][12][13][14][15]. In the literature, no study has been found in which FLP has been compared with classical LP in the demand forecasting problem of a maketo-stock company.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Fuzzy Linear Programming Approach for More Accurate Demand Forecasting in a Make-to-Stock Company

Teke

2023

Academic Platform Journal of Engineering and Smart Systems

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Demand forecasting is of crucial importance for make-to-stock companies because product demand is uncertain and it changes with time. Fuzzy linear programming (FLP) can be an optimum approach for such uncertain situations. In this study, the FLP model was used for more accurate demand forecasting in a make-to-stock company. Demand forecasting study was carried out according to the FLP method and linear programming (LP) method. Solutions of FLP and LP were compared in terms of imputed shortage cost, inventory carrying cost, and net profit. Results show that the applied FLP method is more advantageous than LP as it provides a 67% decrease in costs and a 15% increase in net profit.

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“…Many important studies (Khurana and Adlakha, 2015;Mollanoori et al, 2019;Khurana et al, 2018;Sadore and Tuli, 2019) have also been made on the multi-index transportation problem which is an extension of STP. In addition, some of the noteworthy studies on the minimum-cost network problem, which is formed to model non-symmetrical transportation problems, are also (Khan and Rafique, 2021;Arslan et al, 2020;Hu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

New Solution Approaches for Multi-Objective Solid Transportation Problem Using Some Aggregation Operators

Kara¹,

Köçken

2022

Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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A solid transportation problem emerges when the decision variables are represented by three items: the source, the destination, and the mode of transport. In applications, the STP generally requires considering multiple objectives such as cost minimization, time minimization, security level maximization, etc. In this way, a multi-objective solid transportation problem arises. This paper deals with the solution of the problem and analyzes the effect of several important fuzzy aggregation operators on the solution of the problem. In this context, the most commonly used aggregation operators are investigated for this problem. To explain the solution approach, a numerical example from the literature is given and a Pareto-optimal solution set is provided to offer the decision-maker. Furthermore, graphical comparisons and sensitivity analysis are presented with the solution obtained.

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Minimum-cost capacitated fuzzy network, fuzzy linear programming formulation, and perspective data analytics to minimize the operations cost of American airlines

Cited by 7 publications

References 60 publications

Kombinasi Produksi Optimal Pada Produk Ud. Serayu Pejaten Tabanan

Kombinasi Produksi Optimal Pada Produk Ud. Serayu Pejaten Tabanan

Implementation of Fuzzy Linear Programming Approach for More Accurate Demand Forecasting in a Make-to-Stock Company

New Solution Approaches for Multi-Objective Solid Transportation Problem Using Some Aggregation Operators

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