Application of Linear Programming Method on Selected Examples from the Enterprises

2014 ◽  
Vol 693 ◽  
pp. 201-206
Author(s):  
Eva Šlaichová ◽  
Eva Štichhauerová ◽  
Lukáš Turčok

The efficient decision-making process is the key criteria for evaluation of the managers and their future career in the enterprises. In the frame of operation research and operation analysis it is possible to use number of methods and techniques. However considering the up-to-date situation in the enterprises, linear programming is one of the most efficient techniques. It can be used by managers to solve problems considering any manufacturing or logistical problems. Application of the linear programming generally enables the managers to maximize the profit and minimize the costs on the other hand. This contribution presents the results of pilot research focused on the use of operations research methods in business. For this purpose we have contacted 10 companies which deal with the issue of operations research methods. The authors of the contribution primarily took into consideration the linear programming, particularly application and results achieved by this method. The analysis of software tools that can be used in the context of linear programming is also included in the contribution. In the next chapter of the contribution selected example of application of linear programming in a company is presented.

Author(s):  
Harish Garg

The present paper proposes an improved score function for solving multi-criteria decision-making (MCDM) problem with partially known weight information, In it, the preferences related to criteria are taken in the form of interval-valued Pythagorean fuzzy sets. Based on these preferences and an improved score function, a score matrix has been formulated and then a linear programming based method has been proposed to solve MCDM problems with unknown attribute weights. Some generalized properties have also been proven for justification. Illustrative examples have been given for showing the superiority of the approach with the other existing functions in the decision-making process.


2017 ◽  
Vol 55 (8) ◽  
pp. 1802-1823 ◽  
Author(s):  
Héctor López-Ospina ◽  
Luis E. Quezada ◽  
Ricardo A. Barros-Castro ◽  
Miguel A. Gonzalez ◽  
Pedro I. Palominos

Purpose The purpose of this paper is to propose a quantitative methodology for the identification of the causal relationships between strategic objectives in a strategy map of a balanced scorecard. This is done to face the possible weaknesses described in the literature regarding the causal links and the difficulty in validating the relationships. Design/methodology/approach The proposed method combines the multi-criteria decision-making method called decision-making trial and evaluation laboratory (DEMATEL) and an optimization model. DEMATEL is used to establish the importance of the strategic relations between strategic objectives, and the optimization model is used to find the relations that are more “important” and should be included in the strategy map. The method was created by reviewing the existing literature, modeling the problem, and applying it in a company. Findings The most important results of applying this methodological design include that the proposed method maintains the BSC classical structure; it also enables the generation of several alternatives to support the decision-making process in terms of strategic objectives for a better organizational performance. Practical implications The method facilitates the decision-making process by presenting several alternatives of strategy maps according to different levels of organizational criteria. In fact, these alternatives help the organization in focusing on the most important aspects of the strategy map. Consequently, managers may identify where to pay more attention and resources in order to achieve the most important objectives of the company. Hence, this method, as a support for decision makers, enables (and requires) the active participation of senior managers and any kind of decision makers in creating and valuating objectives, relations, constraints, importance, and parameters of the optimization model. Originality/value DEMATEL has been used to design strategy maps. The contribution of the paper is the use of a linear programming model to select those relationships that should be included in the strategy map. It allows manager to focus on those strategic elements that are important from a strategic point of view. The application in a company showed that the contribution is not only theoretical but practical as well.


2014 ◽  
Vol 5 (2) ◽  
pp. 181-190
Author(s):  
A. Matkó ◽  
E. Szűcs ◽  
T. Takács ◽  
S. Kovács

Today, companies have to face new challanges because of the globalization, new technologies, globalization of markets and increasing competition. In this accelerated world, it is essential that the companies adapt to the market, which is only available through the necessary information. The importance of market research is undoubted. In our study we would like to prove that in case of a beginner company — in this case a confectionery — it is important to perform a market research like for a company in any other segment. To perform it, the qualitative market research methods were used. Our questionnaire examines several aspects in order to provide an indication of the company’s founding.


2019 ◽  
Vol 6 (04) ◽  
Author(s):  
ASHUTOSH UPADHYAYA

A study was undertaken in Bhagwanpur distributary of Vaishali Branch Canal in Gandak Canal Command Area, Bihar to optimally allocate land area under different crops (rice and maize in kharif, wheat, lentil, potato in rabi and green gram in summer) in such a manner that maximizes net return, maximizes crop production and minimizes labour requirement employing simplex linear programming method and Multi-Objective Fuzzy Linear Programming (MOFLP) method. Maximum net return, maximum agricultural production, and minimum labour required under defined constraints (including 10% affinity level of farmers to rice and wheat crops) as obtained employing Simplex method were ` 3.7 × 108, 5.06 × 107 Kg and 66,092 man-days, respectively, whereas Multi-Objective Fuzzy Linear Programming (MOFLP) method yielded compromised solution with net return, crop production and labour required as ` 2.4 × 108, 3.3 × 107Kg and 1,79,313 man-days, respectively. As the affinity level of farmers to rice and wheat crops increased from 10% to 40%, maximum net return and maximum production as obtained from simplex linear programming method and MOFLP followed a decreasing trend and minimum labour required followed an increasing trend. MOFLP may be considered as one of the best capable ways of providing a compromised solution, which can fulfill all the objectives at a time.


2021 ◽  
pp. 109634802098727
Author(s):  
Josip Mikulić ◽  
Damir Krešić ◽  
Maja Šerić

The current study intends to contribute to a better understanding of the medical tourism experience. In particular, this study uses data from a survey-based study conducted on a sample of 1,209 medical tourists in Croatia. On the one hand, this study aims to explore and shed light on the decision-making process of medical tourists, and, on the other hand, to reveal which elements of both the medical institution and the destination where it is located, have largest potentials to drive medical tourist delight and/or frustration, in accordance with the three-factor theory of customer satisfaction.


Author(s):  
Davorin Cimermančič ◽  
Janez Kušar ◽  
Tomaž Berlec

AbstractChanging a traditional company into a lean one is a very complex and time-consuming process that needs to be addressed in an appropriate way, otherwise the project of introduction of leanness into a company may fail on the one hand and even have a negative impact on business operations of the company on the other. When introducing a change, a step-by-step procedure leading to a progress may be of great help. The paper outlines a general procedure of leanness, an important part of which is a lean agent. A portfolio analysis is also used as a measure of leanness or as an indicator of the desired direction. The applied working methods were mainly active workshops and interviews with employees. The procedure has been tested on an example of a Slovene company; first, the existing situation is outlined, then the leanness steps taken according to the procedure and the final result after the first transition of the procedure.


2020 ◽  
Vol 20 (S11) ◽  
Author(s):  
Gaurav Rao ◽  
Salimur Choudhury ◽  
Pawan Lingras ◽  
David Savage ◽  
Vijay Mago

Abstract Background When an Out-of-Hospital Cardiac Arrest (OHCA) incident is reported to emergency services, the 911 agent dispatches Emergency Medical Services to the location and activates responder network system (RNS), if the option is available. The RNS notifies all the registered users in the vicinity of the cardiac arrest patient by sending alerts to their mobile devices, which contains the location of the emergency. The main objective of this research is to find the best match between the user who could support the OHCA patient. Methods For performing matching among the user and the AEDs, we used Bipartite Matching and Integer Linear Programming. However, these approaches take a longer processing time; therefore, a new method Preprocessed Integer Linear Programming is proposed that solves the problem faster than the other two techniques. Results The average processing time for the experimentation data was   1850 s using Bipartite matching,   32 s using the Integer Linear Programming and  2 s when using the Preprocessed Integer Linear Programming method. The proposed algorithm performs matching among users and AEDs faster than the existing matching algorithm and thus allowing it to be used in the real world. Conclusion: This research proposes an efficient algorithm that will allow matching of users with AED in real-time during cardiac emergency. Implementation of this system can help in reducing the time to resuscitate the patient.


2021 ◽  
Vol 11 (9) ◽  
pp. 3757
Author(s):  
Lucian Ștefăniță Grigore ◽  
Ionica Oncioiu ◽  
Iustin Priescu ◽  
Daniela Joița

Today, terrestrial robots are used in a multitude of fields and for performing multiple missions. This paper introduces the novel development of a family of crawling terrestrial robots capable of changing very quickly depending on the missions they have to perform. The principle of novelty is the use of a load-bearing platform consisting of two independent propulsion systems. The operational platform, which handles the actual mission, is attached (plug and play) between the two crawler propulsion systems. The source of inspiration is the fact that there are a multitude of intervention robots in emergency situations, each independent of the other. In addition to these costs, there are also problems with the specialization of a very large number of staff. The present study focused on the realization of a simplified, modular model of the kinematics and dynamics of the crawler robot, so that it can be easily integrated, by adding or removing the calculation modules, into the software used. The designed model was integrated on a company controller, which allowed us to compare the results obtained by simulation with those obtained experimentally. We appreciate that the analyzed Explosive Ordnance Disposal (EOD) robot solution represents a premise for the development of a family of EOD robots that use the same carrier platform and to which a multitude of operational platforms should be attached, depending on the missions to be performed.


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