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Hybrid genetic algorithm for bi-criteria objectives in scheduling process

B.V. Raghavendra
Management and Production Engineering Review | 2020 | vol. 11 | No 2 | DOI: 10.24425/mper.2020.133733
Keywords Multi-criteria decisions genetic algorithm Pareto method
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Abstract

Scheduling of multiobjective problems has gained the interest of the researchers. Past many

decades, various classical techniques have been developed to address the multiobjective problems,

but evolutionary optimizations such as genetic algorithm, particle swarm, tabu search

method and many more are being successfully used. Researchers have reported that hybrid

of these algorithms has increased the efficiency and effectiveness of the solution. Genetic

algorithms in conjunction with Pareto optimization are used to find the best solution for

bi-criteria objectives. Numbers of applications involve many objective functions, and application

of the Pareto front method may have a large number of potential solutions. Selecting

a feasible solution from such a large set is difficult to arrive the right solution for the decision

maker. In this paper Pareto front ranking method is proposed to select the best parents for

producing offspring’s necessary to generate the new populations sets in genetic algorithms.

The bi-criteria objectives minimizing the machine idleness and penalty cost for scheduling

process is solved using genetic algorithm based Pareto front ranking method. The algorithm

is coded in Matlab, and simulations were carried out for the crossover probability of 0.6,

0.7, 0.8, and 0.9. The results obtained from the simulations are encouraging and consistent

for a crossover probability of 0.6.

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Authors and Affiliations

B.V. Raghavendra

Choosing the location of the opening cut to expose brown coal deposits – problem solving and decision making with the use of multiple-criteria decision analysis (MCDA)

Mateusz Henryk Sikora
Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2020 | vol. 36 | No 1 | 93-104 | DOI: 10.24425/gsm.2020.132553
Keywords brown coal mining strategic mine planning opening cut multi-criteria decision analysis
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Abstract

Global brown coal resources are estimated to be extracted at around 512 million Mg. They are found in over a dozen countries, including primarily: Australia, China, the Czech Republic, Greece, Germany, Poland, Russia, the United States and Turkey. More than 80% of total brown coal production in the EU takes place in: Germany, Poland, Greece and the Czech Republic. This means that the majority of production still uses conventional fuels, including both hard coal and brown coal. Given the current energy needs in the context of brown coal reserves depletion and the impacts of the current climate and energy policies of the EU, it is very important that all new investments in mining and energy complexes based on brown coal resources must be prepared carefully to ensure high production efficiency and minimize negative environmental impacts. This article attempts to solve a problem involving the choice of the location of the opening cut to expose brown coal deposits. Due to the stratified nature of brown coal deposits and the associated open-cast mining technology used in a continuous mining system with bucket wheel excavators, belt conveyor systems and spreaders, the location of the opening cut is not completely random and the number of potential solutions is finite. The multifaceted technical, organizational, economic, social and environmental problems require a holistic approach to this research problem. Such an approach should take the different, often opposing, perspectives of the many stakeholders into account. These issues can be solved using mathematical tools designed for multiple-criteria decision support. With the proposed method, a ranking of alternatives can be created, depending on the predefined location of the opening cut.

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Authors and Affiliations

Mateusz Henryk Sikora

Prioritizing Key Business Actions of an Indian Automobile Industry Using Efficient Interpretive Ranking Process (eIRP)

Sumit Kumar Pardeep Gupta
Management and Production Engineering Review | 2021 | vol. 12 | No 3 | DOI: 10.24425/mper.2021.138532
Keywords Multi Criteria Decision Making (MCDM) system flexibility SAP-LAP eIRP business excellence cost management
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Abstract

Management processes in an organization involve decision-making based on many criteria (MCDM), and in this process ranking of variables plays a vital role. This paper presents the analysis of key business issues of an Indian automotive organization using an efficient interpretive ranking (eIRP) approach. This paper integrates the Situation-Actor-Process (SAP) and Learning-Action-Performance (LAP) framework of the organization with eIRP. It evaluates the ranking of actions to be carried out in an organization with respect to performance parameters. The study highlights the area where the organization should focus on achieving desired business excellence. From the analysis, it is revealed that the top-ranked suggested action for the organization is the adoption of energy policy as a core business policy followed by technology management, maintenance management, and the use of information technology for cost management. This case study is one of the few that uses the SAP-LAP framework for ranking the actors and actions of the organization using the eIRP approach, to make MCDM an easy task.
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Authors and Affiliations

Sumit Kumar
Pardeep Gupta

Risk of emergency situations of underground objects in the perspective of multi-criteria decision making

R. Dachowski K. Gałek
Archives of Civil Engineering | 2019 | Vol. 65 | No 2 | 149-162
Keywords open caisson sinking diaphragm wall REMBRANDT multi-criteria decision making underground objects
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Abstract

The diaphragm wall and the open caisson represent two main competitive technologies used in the construction of underground objects. In modern times, diaphragm walls are primarily applied for large-size objects, with open caissons being preferred in the case of small-sized ones. Currently, objects of this type are designed mainly for sewage treatment plants and detention reservoirs. Their construction involves highly labour-intensive processes. During the execution of works unforeseen negative effects are observed to occur. During the underground objects construction the most common phenomena are: deviations from the vertical (tilt), sagging, sinking below the designed level, cracking, scratches or leakage through the wall. The purpose of the paper is to classify undesired risk factors emerging in the process of underground objects construction and selection of the optimal technological and material solution for municipal facilities. The implementation of this task involved the selection of Multi-Criteria Decision Making methods, taking into account the cause-effect rating, as the mathematical apparatus. The Ratio Estimation in Magnitudes or deciBells to Rate Alternatives which are Non-DominaTed (REMBRANDT) method was applied. The research proved that it is possible to analytically assess unforeseen risk factors conducive to emergency situations during the implementation of underground objects, using the REMBRANDT method.

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Authors and Affiliations

R. Dachowski
K. Gałek

Crane Selection Problem in Assembly Works Planning – Criteria Relevance and Methods

Roman Marcinkowski Maciej Banach
Archives of Civil Engineering | Vol. 66 | No 3 | 377-390 | DOI: 10.24425/ace.2020.134403
Keywords assembly assembly planning construction cranes MCDA (Multi-Criteria Decision Analysis) relevance of criteria
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Abstract

Crane selection is an important issue in assembly works planning. Tower and telescopic, stationary and mobile cranes used in construction have essentially different properties. Assembly planning begins in analyzing the possibilities of assembly with a given crane. This is called technical aspect of crane selection. Cranes that meet the technical criteria are then analyzed in terms of other criteria related to the effectiveness of their use on the construction site. The article presents the assessment of the selection criteria and the method of crane selection itself. Surveys conducted among construction managers and planners in Polish companies dealing with assembly works allowed to determine the significance of the selection criteria. For this purpose, an example using SAW (Simple Additive Weighting) and FSAW (Fuzzy Simple Additive Weighting) methods was presented. They also allowed to propose a technique for determining preferences in the use of selected construction cranes. The aim of the research was to increase the usability of computer applications supporting assembly planning by acquiring expert knowledge for the initial selection of organizational solutions.

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Authors and Affiliations

Roman Marcinkowski
ORCID: ORCID
Maciej Banach
ORCID: ORCID

Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information

Butian Zhao Runtong Zhang Yuping Xing
Archives of Control Sciences | 2021 | vol. 31 | No 3 | 645-685 | DOI: 10.24425/acs.2021.138696
Keywords interval-valued q-rung dual hesitant fuzzy set Maclaurin symmetric mean operator multi-criteria decision-making aggregation operators
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Abstract

In modern society, people concern more about the evaluation of medical service quality. Evaluation of medical service quality is helpful for medical service providers to supervise and improve their service quality. Also, it will help the public to understand the situation of different medical providers. As a multi-criteria decision-making (MCDM) problem, evaluation of medical service quality can be effectively solved by aggregation operators in interval-valued q-rung dual hesitant fuzzy (IVq-RDHF) environment. Thus, this paper proposes interval-valued q-rung dual hesitant Maclaurin symmetric mean (IVq-RDHFMSM) operator and interval-valued q-rung dual hesitant weighted Maclaurin symmetric mean (IVq-RDHFWMSM) operator. Based on the proposed IVq-RDHFWMSM operator, this paper builds a novel approach to solve the evaluation problem of medical service quality including a criteria framework for the evaluation of medical service quality and a novel MCDM method. What’s more, aiming at eliminating the discordance between decision information and weight vector of criteria determined by decisionmakers (DMs), this paper proposes the concept of cross-entropy and knowledge measure in IVq-RDHF environment to extract weight vector from DMs’ decision information. Finally, this paper presents a numerical example of the evaluation of medical service for hospitals to illustrate the availability of the novel method and compares our method with other MCDM methods to demonstrate the superiority of our method. According to the comparison result, our method has more advantages than other methods.
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Authors and Affiliations

Butian Zhao
1
Runtong Zhang
1
Yuping Xing
2
  1. School of Management and Economic, Beijing Jiaotong University, Beijing, 100044, China
  2. Glorious Sun School of Business and Management, DongHua University, Shanghai, 200051, China

Use of Integrated AHP-Topsis Method in Selection of Optimum Mine Planning for Open-Pit Mines

Ali Can Ozdemir
Archives of Mining Sciences | 2023 | vol. 68 | No 1 | 35-53 | DOI: 10.24425/ams.2023.144316
Keywords open-pit mine mine planning multi-criteria decision making (MCDM) analytic hierarchy process (AHP) technique for order of preference by similarity to ideal solution (TOPSIS)
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Abstract

Successful mine planning is necessary for the sustainability of mining activities. Since this process depends on many criteria, it can be considered a multi-criteria decision making (MCDM) problem. In this study, an integrated MCDM method based on the combination of the analytic hierarchy process (AHP) and the technique for order of preference by similarity to the ideal solution (TOPSIS) is proposed to select the optimum mine planning in open-pit mines. To prove the applicability of the proposed method, a case study was carried out. Firstly, a decision-making group was created, which consists of mining, geology, planning engineers, investors, and operators. As a result of studies performed by this group, four main criteria, thirteen sub-criteria, and nine mine planning alternatives were determined. Then, AHP was applied to determine the relative weights of evaluation criteria, and TOPSIS was performed to rank the mine planning alternatives. Among the alternatives evaluated, the alternative with the highest net present value was selected as the optimum mine planning alternative. It has been determined that the proposed integrated AHP-TOPSIS method can significantly assist decision-makers in the process of deciding which of the few mine planning alternatives should be implemented in open-pit mines.
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Authors and Affiliations

Ali Can Ozdemir
1
ORCID: ORCID
  1. Çukurova University, Department of Mining Engineering, 01250, Adana, Turkey

Impact of decision model structure on the selection of a telecommunications tower footing reinforcement alternative

Bartłomiej Szewczyk Grzegorz Śladowski Kamil Ratoń
Archives of Civil Engineering | 2021 | vol. 67 | No 2 | 309-321 | DOI: 10.24425/ace.2021.137170
Keywords MCDA (Multi-Criteria Decision Analysis) AHP (Analytical Hierarchy Process) ANP (Analytical Network Process) civil engineering footing reinforcement
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Abstract

In recent years, we have been able to observe a dynamic development of MCDA (multi-criteria decision analysis) methods, which have become widely used in various sectors, including construction. These methods are characterised by simplicity and one of their key advantages is their simple modelling of non-linear dependencies within decision problems and their analysis under the conditions of incomplete, uncertain and hard-to-measure information. The universality and simple use of these methods does not, however, free the decision-maker from the necessity to adopt the proper approach to modelling and analysing specific decision problems. To highlight the fact that it is the character of the problem that should determine the selection of the method of analysing it and not the other way around, the authors assessed the AHP (Analytic Hierarchy Process) and the ANP (Analytic Network Process) method in terms of verifying the impact of the different decision model structures on analysis outcomes and analysed their sensitivity to input data changes. This analysis was based on the example of selecting a telecommunications tower footing reinforcement alternative. The findings confirmed the significant impact of decision model structure on the ranking of the analysed alternatives.
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Authors and Affiliations

Bartłomiej Szewczyk
1
ORCID: ORCID
Grzegorz Śladowski
1
ORCID: ORCID
Kamil Ratoń
2
ORCID: ORCID
  1. PhD., Eng., Cracow University of Technology, Faculty of Civil Engineering, 24 Warszawska Street, 31-155 Cracow, Poland
  2. MSc., Eng., PIB Constructor, 100/104 Balicka Street, 30-149 Cracow, Poland

Interval-valued dual hesitant fuzzy prioritized aggregation operators based on Archimedean t-conorm and t-norm and their applications to multi-criteria decision making

Arun Sarkar Animesh Biswas
Archives of Control Sciences | 2021 | vol. 31 | No 1 | 213-247 | DOI: 10.24425/acs.2021.136887
Keywords multi-criteria decision-making interval-valued dual hesitant fuzzy elements Archimedean t-conorm and t-norm prioritized weighted averaging operator prioritized weighted geometric operator
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Abstract

Multi-criteria decision making (MCDM) technique and approach have been a trending topic in decision making and systems engineering to choosing the probable optimal options. The primary purpose of this article is to develop prioritized operators to multi-criteria decision making (MCDM) based on Archimedean t-conorm and t-norms (At-CN&t-Ns) under interval-valued dual hesitant fuzzy (IVDHF) environment. A new score function is defined for finding the rank of alternatives in MCDM problems with IVDHF information based on priority levels of criteria imposed by the decision maker. This paper introduces two aggregation operators: At-CN&t-N-based IVDHF prioritized weighted averaging (AIVDHFPWA), and weighted geometric (AIVDHFPWG) aggregation operators. Some of their desirable properties are also investigated in details. A methodology for prioritization-based MCDM is derived under IVDHF information. An illustrative example concerning MCDM problem about a Chinese university for appointing outstanding oversea teachers to strengthen academic education is considered. The method is also applicable for solving other real-life MCDM problems having IVDHF information.
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Authors and Affiliations

Arun Sarkar
1
Animesh Biswas
2
  1. Department of Mathematics, Heramba Chandra College, Kolkata – 700029, India
  2. Department of Mathematics, University of Kalyani, Kalyani – 741235, India

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