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Optimization of net revenue in fruit wholesale distribution through a linear programming model

Procedia Computer Science 2025年 257卷 1172-1177页

作者： Leonardo Diaz-Sanchez Jorge Retamozo-Shapiama Nipper Ruiz-Garcia Andre Salas-Chaparin Gian Sinarahua-Cardenas Mario Ninaquispe-Soto Yasmina Riega-Virú Eduardo Quezada-Hidalgo Juan Salas-Riega Universidad Nacional Tecnológica de Lima Sur. Av. Bolivar Villa El Salvador Lima 15834 Perú Universidad Privada del Norte. Av. Tingo María 1122 Breña Lima 15083 Perú Universidad Científica del Sur. Av. Panamericana Sur Km. 19 Villa El Salvador Lima 150142 Perú Pontificia Universidad Católica del Perú Lima 150136 Perú

This report addresses the problem of daily net revenue maximization in a fruit wholesale company. For this purpose, a linear programming model has been formulated whose objective function is the maximization of the net daily revenue of the company, which considers certain restrictions required by the business owner, such as an average size of the jabs of the fruits sold, storage capacity, prices of the different suppliers, among others. The calculation of the optimal solution of the model was carried out using computer programs such as LINGO, in addition to a comparison with the SOLVER function of Microsoft Excel. Subsequently, a sensitivity analysis of the model created is performed to evaluate the impact of variations in the restrictions within the objective function. Finally, the maximum daily net income that the company can achieve under the established conditions is determined, in addition to decision-making, together with a sales plan, supported by the results of the proposed model. The results of this study provide a strategic tool for maximizing revenue in operationally constrained business environments, demonstrating the potential of linear programming to optimize decision-making in wholesale companies.

关键词： Applied mathematics computation linear programming model Revenue maximization Sales plan Strategic decision-making

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linear programming model for optimum resource allocation in rural systems

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ENERGY SOURCES 1997年第6期19卷 613-621页

作者： Devadas, V INDIAN INST TECHNOL KHARAGPURW BENGALINDIA

The article presents a model for optimum resource allocation in a rural system. Making use of linear programming, the objective function of the linear programming model is to maximize the revenue of the rural system, and optimum resource allocation is made subject to a number of energy- and nonenergy-related constraints relevant to the rural system. The model also quantifies the major yields as well as the by-products of different sectors of the rural economic system.

关键词： linear programming model optimum resource allocation rural development rural system system constraints

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linear programming model As A Decision Support System In Knowledge Management Case Study: Hospitals In Jordan

Linear Programming Model As A Decision Support System In Kno...

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8th International Conference on Computing and Networking Technology (ICCNT)

作者： Ridha, Mahmood B. Al Zaytoonah Univ Jordan Amman Jordan

ISBN: (纸本)9781467313261

This study aims to examine a quantitative method applied to determine transportation cost of knowledge assets between three hospitals in Jordan. The results of the study explain that quantitative method (linear programming) can be used as decision support system to help decision maker when he want to select between many kinds of knowledge assets with minimum cost.

关键词： Decision Support System linear programming model Knowledge Assets

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A linear-programming model FOR ACID-RAIN POLICY ANALYSIS

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JOURNAL OF THE AIR POLLUTION CONTROL ASSOCIATION 1985年第11期35卷 1137-1148页

作者： MORRISON, MB RUBIN, ES CARNEGIE MELLON UNIV CTR ENERGY & ENVIRONM STUDIESPITTSBURGHPA 15213

This paper describes a new analytical model designed to explore the consequences of acid rain control strategies for coal-fired power plants in the 31 eastern United States. It employs a linear programming technique using newly developed models of coal transportation costs, minemouth coal prices, and power plant FGD costs to determine an optimum (least cost) strategy to achieve specified reductions in sulfur dioxide emissions, as proposed in several recent Congressional bills. Emissions trading among specified groups of states also can be treated in the model’s optimization framework. Results are presented for scenarios in which 1995 SO2emissions from coal-fired power plants in the 31-state region are constrained to levels that are 8, 10 and 12 million tons per year (MMtpy) below 1980 emissions. An extensive set of sensitivity analyses (95 cases) is used to explore the effects on FGD retrofit capacity, regional coal demand, and overall abatement cost of alternative assumptions regarding the future costs of coal, transportation, pollution control equipment and regulatory requirements. Cases involving a 10 MMtpy reduction were found to exhibit the greatest sensitivity to tradeoffs between coal switching and the retrofitting of FGD equipment.

关键词： Acid rain Air pollution control Flue gas desulfurization linear programming model Power plant(coal-fired)

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Identification of Sources of Terrigenous Sedimentary Rocks Based on Geochemical Data Using a linear programming model

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DOKLADY EARTH SCIENCES 2023年第2期508卷 85-90页

作者： Graunov, O. V. Podkovyrov, V. N. Kovach, V. P. Kotov, A. B. Velikoslavinsky, S. D. Scovitina, T. M. Adamskaya, E. V. Gorovoi, V. A. Russian Acad Sci Inst Precambrian Geol & Geochronol St Petersburg 199034 Russia Russian Acad Sci Inst Earths Crust Siberian Branch Irkutsk 664033 Russia

The possibility of identifying the sources of terrigenous rocks based on geochemical data using a linear programming model is considered by the example of metasedimentary rocks of the Sakukan Formation of the Kemen Group of the Udokan Complex, Aldan Shield. It is shown that tonalite-trondhjemite gneisses (56.9%) and leucocratic granite-gneisses (17.3%) of the Olekma complex, Paleoproterozoic granitoids of the Kuanda Complex (7.6%) of the Chara-Olekma geoblock, metavolcanic rocks of the Fedorov Group (15.4%) and gneiss-granites (1.8%) of the West Aldan megablock developed within it could be the sources of metasandstones of the Sakukan Formation. The results obtained are in good agreement with the Nd isotopic and geochronological data available for the metasandstones of the Sakukan Formation, which indicates the wide possibilities of identifying and searching for sources of terrigenous deposits using a linear programming model.

关键词： terrigenous rocks rare earth elements linear programming model Aldan Shield Udokan Complex Sakukan Formation

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A linear programming model for the control wafers downgrading problem

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2005年第3-4期25卷 377-384页

作者： Chung, SH Pearn, WL Kang, HY Natl Chiao Tung Univ Dept Ind Engn & Management Hsinchu Taiwan

This paper considers the control wafers downgrading problem (CWDP) in the wafer fabrication photolithography area. The objective of the research is to minimize the total cost of control wafers, while maintaining the same level of production throughput. For the problem under a pulling control production environment, a linear programming model is presented to set the supply rate of new control wafers and the recycle and downgrading rates so as to minimize the total cost of control wafers. A numerical example is given to illustrate the practicality of the model. The sensitivity of the linear programming model solution to changes in the underlying parameter values is also investigated. The results demonstrate that the proposed model is an effective tool for determining the control wafers downgrading policy. This paper presents a linear programming model that considers the cost of new control wafers, recycle and downgrading control wafers in wafer fabrication. The proposed model improved the performance of control wafers management, and served as the basis for setting the usage rates of control wafers.

关键词： control wafers downgrading linear programming model performance pull control

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The application of linear programming model in time-cost optimization

The application of linear programming model in time-cost opt...

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International Conference on Risk Management and Engineering Management

作者： Wang, Zhaohong Zhan, Wei Beijing Normal Univ Coll Phys Educ & Sports Beijing 100875 Peoples R China

ISBN: (纸本)9780978348458

In this paper, a counterexample is put forward to prove that network planning technique can not achieve the most reliable and optimum effect in resolving time-cost optimization problem although it has been widely applied to resolve time-cost optimization problem. In order to resolve this problem, a new method based on linear programming (LP) model is proposed. The results show that LP model is more efficient than traditional network planning technique in solving time-cost optimization problem.

关键词： linear programming model network planning technique time-cost optimisation project management

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Optimal Planning of Biodiesel Supply Chain Using a linear programming model

Optimal Planning of Biodiesel Supply Chain Using a Linear Pr...

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IEEE International Conference on Industrial Engineering and Engineering Management

作者： Valizadeh, Maryam Syafiie, S. Ahamad, I. S. Univ Putra Malaysia Dept Chem & Environm Engn Serdang 43400 Selangor Malaysia

ISBN: (纸本)9781479964109

This paper presents a method for the improvement of economic performance of biofuel supply chain. A mathematical model is proposed for optimal planning of biofuel supply chain in order to minimize the total operational costs. The model is linear and takes into consideration the availability of feedstock and biorefineries and determines the optimal schedule for harvesting and transportation of biomass feedstocks, biodiesel production and distribution over the planning horizon. The model is applied to a case study for the production of biodiesel from palm oil and jatropha in Malaysia.

关键词： Biofuel supply chain jatropha linear programming model palm oil

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Cold Chain Logistics Distribution Optimization for Fresh Processing Factory Based on linear programming model 3

Cold Chain Logistics Distribution Optimization for Fresh Pro...

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3rd IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

作者： Sun, Xue Wu, Chao-Chin Chen, Liang-Rui Beijing Union Univ Coll Urban Rail Transit & Logist Beijing Peoples R China Natl Changhua Univ Educ Dept Elect Engn Changhua Taiwan Natl Changhua Univ Educ Dept Comp Sci & Informat Engn Changhua Taiwan

ISBN: (纸本)9781538645093

With the development of the economy, the demands for food quality have gradually increased. Cold chain as a temperature-controlled supply chain has emerged to ensure the fresh goods. In recent years, the establishment and improvement of the cold chain logistics, as complex system engineering, is very important. While the cold chain logistics system has been vigorously developing, the common problems we face include: selection of suitable location for cold chain distribution center as well as optimization of distribution route. In this paper, we mainly focus on how to optimize the cold chain logistics distribution for a fresh processing factory M. We propose the methods to optimize the cold chain logistics distribution for M based on linear programming model. First, we adopt location set covering problem (LSCP) to model the location problem of cold chain logistics distribution center for Factory M, and use zero one programming to solve the distribution center location. Then, we use transshipment problem, which is one of the transportation problem, to model and solve the distribution route for M. Experiments are conducted on IBM ILOG CPLEX Optimization platform, and the suitable plan of logistics distribution for Factory M is figured out at the end. The experiment result shows that the optimal solution using our optimization method can save about 15% of transportation cost compared to the result without any planning.

关键词： cold chain logistics distribution linear programming model LSCP transportation problem

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Cutting CO_(2)emissions through demand side regulation:Implications from multi-regional input-output linear programming model

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Frontiers of Engineering Management 2022年第3期9卷 452-461页

作者： Nan LIU Jidong KANG Tsan Sheng NG Bin SU School of Management Tianjin Normal UniversityTianjin 300387China Energy Studies Institute National University of SingaporeSingapore 119620Singapore Department of Industrial&Systems Engineering and Management National University of SingaporeSingapore 117576Singapore

This study combines multi-regional inputoutput(MRIO)model with linear programming(LP)model to explore economic structure adjustment strategies for the reduction of carbon dioxide(CO_(2))emissions.A particular feature of this study is the identification of the optimal regulation sequence of final products in various regions to reduce CO_(2)emissions with the minimum loss in gross domestic product(GDP).By using China's MRIO tables 2017 with 28 regions and 42 economic sectors,results show that reduction in final demand leads to simultaneous reductions in GDP and CO_(2)***,certain demand side regulation strategy can be adopted to lower CO_(2)emissions at the smallest loss of economic *** key final products,such as metallurgy,nonmetal,metal,and chemical products,should first be regulated to reduce CO_(2)emissions at the minimum loss in *** of these key products concentrate in the coastal developed regions in *** proposed MRIO-LP model considers the inter-relationship among various sectors and regions,and can aid policy makers in designing effective policy for industrial structure adjustment at the regional level to achieve the national environmental and economic targets.

关键词： CO_(2)emissions demand side regulation multi-regional input-output model linear programming model

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