Integrated linear programming and analytical hierarchy process method for diesel/biodiesel/butanol in reducing diesel emissions

Razak, Nurul Hanim; Hashim, Haslenda; Yunus, Nor Alafiza; Klemeš, Jiří Jaromír

doi:10.1016/j.jclepro.2021.130297

Cited by 16 publications

(2 citation statements)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We will perform a sensitivity analysis of the total daily replenishment and the optimization model used for the pricing strategy for each vegetable category for the coming week [9].…”

Section: Patterns Of Sales Distribution By Broad Categories and By In...mentioning

confidence: 99%

Vegetable Stocking and Pricing Model Based on Time Series Forecasting and Non-linear Programming

Ren

2024

EHSS

View full text Add to dashboard Cite

This study aims to help fresh produce superstores develop vegetable replenishment and pricing strategies to maximize their benefits. By analyzing historical sales records and customer demand, the study used an ARIMA model to predict future demand and a planning model to optimize superstore revenues. The study also analyzed the sales data of 6 major categories and 246 individual types of vegetables and found that flower and leafy vegetables were the most popular in the market. By performing Spearman correlation analysis on the sales volume data, the study obtained the two pairs of vegetable categories with the highest degree of correlation. In addition, a positive correlation between sales volume and total price was fitted by linear regression and converted to a negative correlation between cost-plus pricing and sales volume. Finally, past costs, damage rates, price factors, and demand were taken into account to optimize each day's data individually to maximize the superstore's revenue, where the maximum profit on the first day was $1,520.6.

show abstract

“…We will perform a sensitivity analysis of the total daily replenishment and the optimization model used for the pricing strategy for each vegetable category for the coming week [9].…”

Section: Patterns Of Sales Distribution By Broad Categories and By In...mentioning

confidence: 99%

Vegetable Stocking and Pricing Model Based on Time Series Forecasting and Non-linear Programming

Ren

2024

EHSS

View full text Add to dashboard Cite

show abstract

“…However, taking into account that market conditions change very quickly and that there is uncertainty in every segment of the economic system, integrated models are most frequently applied to optimize various problems, as is the case in this paper, in which we presented a novel Rough CRADIS model in integration with the IMF SWARA method and linear programming. The application of linear programming and multi-criteria models is not rare [4][5][6][7]. Cheng et al [8] created an integration model of multi-criteria decision analysis (MCDA) and inexact mixed integer linear programming (IMILP) to support the selection of an optimal landfill location and waste-flow-allocation pattern so that the total system cost can be minimized.…”

Section: Introductionmentioning

confidence: 99%

Development of Integrated Linear Programming Fuzzy-Rough MCDM Model for Production Optimization

Dordevic

Tešić²,

Todorović

et al. 2022

Axioms

View full text Add to dashboard Cite

One of the most common tools for achieving optimization and adequate production process management is linear programming (LP) in various forms. However, there are specific cases of the application of linear programming when production optimization implies several potential solutions instead of one. Exactly such a problem is solved in this paper, which integrates linear programming and a Multi-Criteria Decision-Making (MCDM) model. First, linear programming was applied to optimize production and several potential solutions lying on the line segment AB were obtained. A list of criteria was created and evaluated using the Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA). To obtain the final solution, a novel Rough compromise ranking of alternatives from distance to ideal solution (R-CRADIS) method was developed and verified through comparative analysis. The results show that the integration of linear programming and a Fuzzy-Rough MCDM model can be an exceptional solution for solving specific optimization problems.

show abstract

Effects of hybrid nanoparticle additives in n-butanol/waste plastic oil/diesel blends on combustion, particulate and gaseous emissions from diesel engine evaluated with entropy-weighted PROMETHEE II and TOPSIS: Environmental and health risks of plastic waste

Yusuf

Ampah

Soudagar

et al. 2022

Energy Conversion and Management

View full text Add to dashboard Cite

Integrated linear programming and analytical hierarchy process method for diesel/biodiesel/butanol in reducing diesel emissions

Cited by 16 publications

References 97 publications

Vegetable Stocking and Pricing Model Based on Time Series Forecasting and Non-linear Programming

Vegetable Stocking and Pricing Model Based on Time Series Forecasting and Non-linear Programming

Development of Integrated Linear Programming Fuzzy-Rough MCDM Model for Production Optimization

Effects of hybrid nanoparticle additives in n-butanol/waste plastic oil/diesel blends on combustion, particulate and gaseous emissions from diesel engine evaluated with entropy-weighted PROMETHEE II and TOPSIS: Environmental and health risks of plastic waste

Contact Info

Product

Resources

About