Linear Programming Model for Production Cost Minimization at a Rice Crop Products Manufacturer

2021 ◽  
pp. 335-346
Author(s):  
Jairo R. Coronado-Hernández ◽  
Leonardo J. Olarte-Jiménez ◽  
Zulmeira Herrera-Fontalvo ◽  
Johana Cómbita Niño
Keyword(s):  
Linear Programming ◽  
Production Cost ◽  
Programming Model ◽  
Cost Minimization ◽  
Rice Crop ◽  
Linear Programming Model

scholarly journals A Dynamic Multi-Period, Mixed-Integer Linear Programming Model for Cost Minimization of a Three-Echelon, Multi-Site and Multi-Product Construction Supply Chain

Logistics ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 19
Author(s):  
Aspasia Koutsokosta ◽  
Stefanos Katsavounis
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Strategic Alliances ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Cost Minimization ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Integer Linear Programming Model

Quantifying the benefits of construction supply chain management through prescriptive models is a challenging and fast-growing research area that still lacks standardized optimization models with full integrative potential. In response to the needs and the peculiarities of the construction industry, this paper proposes an innovative model that merges temporal and project-based supply chains into a sustainable network with repetitive flows, large scope contracts, strategic alliances and economies of scale. It is a dynamic mixed-integer linear programming model for cost minimization of a three-echelon supply chain serving multiple sites with multiple products over a time horizon. Its novelty lies in yielding optimal decisions on network design, product quantities to be purchased and transported, shipments and inventory levels in all echelons under any logistics system in a multi-period, multi-product and multi-project environment with discount schemes and strategic preferences. The model is general enough to be implemented by any general contractor acting as a system integrator but also allows customization with logical constraints. All these features constitute an innovative, versatile and flexible managerial decision making tool. Model implementation is based on a spreadsheet optimization software and is followed by post-solution analysis, sensitivity analysis and multiple parameterized optimizations.

A Linear Programming Model for Product Mix Profit Maximization in A Small Medium Enterprise Company

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng
Keyword(s):  
Linear Programming ◽  
Production Planning ◽  
Business Performance ◽  
Programming Model ◽  
Profit Maximization ◽  
Optimal Level ◽  
Linear Programming Model ◽  
Product Mix ◽  
Small Medium Enterprises ◽  
Medium Enterprises

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.

A Linear Programming Model to Evaluate Gas Availability for Vital Industries in Saudi Arabia

1992 ◽  
Vol 43 (11) ◽  
pp. 1035-1045
Author(s):  
S O Duffuaa ◽  
J A Al-Zayer ◽  
M A Al-Marhoun ◽  
M A Al-Saleh
Keyword(s):  
Saudi Arabia ◽  
Linear Programming ◽  
Programming Model ◽  
Linear Programming Model

Living costs and welfare ratios in Western Europe: new estimates using a linear programming model

2021 ◽  
Author(s):  
Luis Felipe Zegarra
Keyword(s):  
Linear Programming ◽  
Western Europe ◽  
Programming Model ◽  
Living Standards ◽  
Linear Programming Model ◽  
Nutrient Requirements ◽  
European Cities

Abstract This study provides new estimates on welfare ratios for London, Amsterdam, Paris, Strasbourg, Munich, and Leipzig for 1600–1850. I use a linear programming model to compute the basket that minimizes the food cost subject to nutrient requirements. For a balanced nutrition, I take into consideration that people should ingest not only calories and proteins, but also fat, iron, and some basic vitamins. The results suggest that living standards in Western Europe were lower than previously thought. However, like previous studies, this article suggests that welfare ratios in London were higher than in other European cities.

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