scholarly journals Farm-Boarding School Management: Linear Programming Contributions in the Search of Self-Sufficiency and Optimization

2017 ◽  
Vol 9 (3) ◽  
pp. 59
Author(s):  
Carina Simionato de Barros ◽  
Gabriela Geraldi Mendonça ◽  
Augusto Hauber Gameiro
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Programming Model ◽  
Safety Margin ◽  
Boarding School ◽  
Point Of View ◽  
Technical Programs ◽  
Modeling Process ◽  
Self Sufficiency ◽  
Education Of Students

Farm schools offer a learning environment for the education of students in Agricultural Technical Programs and offer this program adopting boarding systems (“farm-boarding schools” or “FBS”). The big challenge in FBS is balancing education and production, that is, provide resources for practical classes and at the same time provide food for farm residents from a pre-defined budget by the sponsoring institution. The aim of this paper is to present a linear programming model to plan and optimize FBS production and supply. The model was applied in two FBS in Brazil. The model developed could show the complexity of the FBS system, which features a variety of productions and the interactions among them. The modeling process presented positive results from a technical and managerial point of view, including people management. The formulated model showed an optimized scenario which extended the managers’ analysis horizon and allowed safer decision making. The system’s complexity hampers dialogue between the farm-boarding school team and managers. From the modeling process and the standardization of data and generated results, there was a greater safety margin to present investment proposals and analyzes, accelerating the decision-making process, which was a positive addition to the system.

scholarly journals Use of linear programming for decision making: An analysis of cost, time and comfort of rural housing dwellings

2020 ◽  
Vol 24 (9) ◽  
pp. 622-629
Author(s):  
Juliano Lovatto ◽  
Rodrigo C. Santos ◽  
Cristiano M. A. de Souza ◽  
Rafael Zucca ◽  
Felipo Lovatto ◽  
...  
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Programming Model ◽  
Raw Materials ◽  
Construction Materials ◽  
Linear Programming Model ◽  
Rural Housing ◽  
Traditional System ◽  
Rural Workers ◽  
Competitive Prices

ABSTRACT Brazilian agriculture production requires new types of rural buildings that are more sustainable, economical, and well adapted to their environment. Furthermore, these buildings are no longer simple living quarters, but a way of valuing rural workers. Thus, this study aimed to create a linear programming model for optimizing decision-making when different techniques and construction materials are combined to build rural housing dwellings, thereby enabling an assessment of both the cost and comfort of such buildings. The research considered localizing network facilities via analogies in order to adapt a budget matrix. Three main criteria were applied: cost, runtime, and the environmental comfort provided. The model comprised six construction systems, three types of sealing masonry, two types of roofing, and four types of tiles. Simulations were performed for two Brazilian states, considering the same reference date of validation and comparison. Each input variable resulted in a different construction model. It was demonstrated that the new industrialized construction technologies are advantageous since they provide faster execution, competitive prices, and sustainable raw materials, whilst the application of the criteria to the traditional system of reinforced concrete is also feasible. The linear programming model offers its users an additional decision-making tool for construction systems, enabling time and resource optimization.

scholarly journals Fuzzy Integral Multiple Criteria Decision Making Method Based on Fuzzy Preference Relation on Alternatives

2016 ◽  
Vol 4 (3) ◽  
pp. 280-290 ◽  
Author(s):  
Qiaojiao Zhao ◽  
Ling Zeng ◽  
Jinjin Liu
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Programming Model ◽  
Preference Relation ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Relation ◽  
Multiple Criteria ◽  
Fuzzy Integral ◽  
Fuzzy Preference Relation ◽  
Preference Information

AbstractA new method is proposed to solve the multiple criteria decision making with interacting criteria, where the preference information on alternatives in a fuzzy relation given by the decision maker. On the basis of the decision maker’s preference information, two types of models — the least squares model, the linear programming model — are constructed to determine the capacities and then to select the most desirable alternative. Finally, a numerical example is used to illustrate the validity and practicality of the proposed method.

FUZZY LINMAP METHOD FOR MULTIATTRIBUTE GROUP DECISION MAKING WITH LINGUISTIC VARIABLES AND INCOMPLETE INFORMATION

2007 ◽  
Vol 15 (02) ◽  
pp. 153-173 ◽  
Author(s):  
DENG-FENG LI ◽  
TAO SUN
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Group Decision Making ◽  
Group Decision ◽  
Programming Model ◽  
Implementation Process ◽  
Fuzzy Linear Programming ◽  
Multidimensional Analysis ◽  
Linguistic Variables ◽  
Programming Technique

The aim of this paper is to develop a fuzzy linear programming technique for multidimensional analysis of preference (FLINMAP) in multiattribute group decision making problems with linguistic variables and incomplete preference information. In this paper, linguistic variables are used to assess an alternative on qualitative attributes using fuzzy ratings corresponding to some triangular fuzzy numbers. Each alternative is assessed on the basis of its distance to a fuzzy positive ideal solution (FPIS) which is unknown a priori. The FPIS and the weights of attributes are calculated by constructing a new linear programming model based on the group consistency and inconsistency indices defined on the basis of preferences between alternatives given by the decision makers. The distance of each alternative to the FPIS can be calculated to determine the ranking order of all alternatives. The implementation process of this methodology is demonstrated with an example.

scholarly journals Solving the Multiobjective Transportation Decision-Making Problem Based on Improved S-Type Membership Function

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiang Ziquan ◽  
Yang Jiaqi ◽  
Muhammad Hamza Naseem ◽  
Xiang Zuquan
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Utility Function ◽  
Objective Function ◽  
Membership Function ◽  
Programming Model ◽  
Experimental Results ◽  
Decision Making Problem ◽  
Decision Making Model ◽  
Single Objective

Aiming at the problem of multiobjective transportation decision-making, a fuzzy compromise method with an improved S-type membership function is proposed. This method not only considers a single objective and evaluates it marginally but also evaluates the overall objective as a whole. First of all, a multiobjective transportation decision-making model is established. Then, each objective function is mapped to a function on the interval [0,1] through the S-type membership function, thereby transforming the multiobjective transportation linear programming model into a multiobjective transportation fuzzy compromise programming model, and its satisfaction is expressed by the global utility function. Finally, through two examples, the results of the example algorithm are compared with the results in the literature, highlighting the superiority of the method. The experimental results show that in the multiobjective transportation decision-making problem, the fuzzy compromise method of the S-type membership function has better flexibility and effectiveness.

scholarly journals A linear programming optimization model applied to the decision-making process of a Brazilian e-commerce company

Exacta ◽  
2019 ◽  
Vol 17 (3) ◽  
pp. 149-157
Author(s):  
Fabrício Almeida ◽  
João Paulo Barbieri ◽  
José Arnaldo Montevechi ◽  
José Henrique Gomes ◽  
Alexandre Pinho
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Optimization Model ◽  
Simplex Method ◽  
Programming Model ◽  
Careful Analysis ◽  
Quality Monitoring ◽  
Decision Making Process ◽  
Historical Time ◽  
Time Data

The decision-making process is not always simple and requires a more careful analysis to maximize the company's revenue. This paper proposes a linear programming model applied to the decision-making of the section of quality monitoring and packaging of a Brazilian company of e-commerce, in which the simplex method was used to maximize the company's revenue from historical time data of the activities for each type of product. From the results, it was verified which products should be prioritized, providing a revenue of US$ 74,681.50. In addition, a simulation was applied to include two employees in the process, which would provide a 32.76% increase in the company's profitability and a new revenue of US$ 99,145.00.

scholarly journals A Linear Programming Relaxation DEA Model for Selecting a Single Efficient Unit with Variable RTS Technology

2021 ◽  
Vol 12 (2) ◽  
pp. 131-137
Author(s):  
Reza Akhlaghi ◽  
Mohsen Rostamy-Malkhalifeh ◽  
Alireza Amirteimoori ◽  
Sohrab Kordrostami
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Programming Model ◽  
Returns To Scale ◽  
Linear Programming Relaxation ◽  
Data Envelopment ◽  
Relaxation Model ◽  
Relaxation Problem ◽  
Lp Model ◽  
Variable Returns To Scale

The selection-based problem is a type of decision-making issue which involves opting for a single option among a set of available alternatives. In order to address the selection-based problem in data envelopment analysis (DEA), various integrated mixed binary linear programming (MBLP) models have been developed. Recently, an MBLP model has been proposed to select a unit in DEA with variable returns-to-scale technology. This paper suggests utilizing the linear programming relaxation model rather than the MBLP model. The MBLP model is proved here to be equivalent to its linear programming relaxation problem. To the best of the authors’ knowledge, this is the first linear programming model suggested for selecting a single efficient unit in DEA under the VRS (Variable Returns to Scale) assumption. Two theorems and a numerical example are provided to validate the proposed LP model from both theoretical and practical perspectives.

scholarly journals A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains

2021 ◽  
Author(s):  
Mar Vazquez-Noguerol ◽  
Jose A. Comesaña-Benavides ◽  
Sara Riveiro-Sanroman ◽  
J. Carlos Prado-Prado
Keyword(s):  
Mathematical Model ◽  
Linear Programming ◽  
Programming Model ◽  
Time Windows ◽  
Point Of View ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Maximum Efficiency ◽  
Online Sales ◽  
Delivery Times

AbstractThe use of the online channel has greatly increased the logistics costs of supermarket chains. Even the difficulty of managing order picking and delivery processes has increased due to the short delivery times and the preservation of perishable products. Against that backdrop, the proposed approach presents a mathematical model for planning the e-fulfillment activities with the objective of ensuring maximum efficiency. The linear programming model has been designed for e-grocers that prepare their online orders at central warehouses. The mathematical model determines both the time windows during which picking and transport should take place and the assignment of trucks to delivery routes. The allocation of online orders is performed taking into account the conservation requirement of each type of product and the availability of means. Considering this planning tool, managers can improve the decision-making process guaranteeing the quality of service while reducing the e-fulfillment cost for joint picking and delivery point of view. Motivated by a cooperation with a supermarket chain, results bring great insight based on the simulation of different logistics alternatives. Companies and researchers can compare the strategy of leveling the workload and the strategy of reducing the number of means, a common alternative in logistics outsourced to third parties. In addition, the different scenarios developed make it possible to determine the substantial savings achieved by modifying the delivery services and advancing the order preparation. As a result, managerial insights are identified highlighting the importance of efficient order planning to improve the profitability of online sales.

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