Wyniki wyszukiwania - BazTech

1

Assessment of Nonhomogeneous Structures in Steel Contents in Terms of Fatigue Resistance Using Analytical Hierarchy Process

Al-Maliki Ali, AL-Bedhany Jasim H., Mankhi Tahseen Ali, Legutko Stanislaw

Advances in Science and Technology. Research Journal

|

2024

|

Vol. 18, no 1

334--348

EN

Fatigue resistance of steel containing non-metallic inclusions (NMIs) varies widely, depending on many criteria; therefore, finding the most compromised types of NMIs is a sober objective that may significantly reduce severe damage and premature failure in many applications, such as bearings, gears, transmission shafts, etc. The Multiple Criteria Decision-Making (MCDM) methodologies have been used in this study to assess the more effective NMI types using the Analytical Hierarchy Process (AHP) by Expert Choice (EC) software. The five most common types of non-metallic inclusions selected are oxides, sulfides, carbides, silicates, and nitrides, based on different criteria: size, shape, distribution, mechanical properties, and quantity. The results showed that the oxide NMIs are the optimum type relative to the other four options regarding the fatigue resistance of about 35%, probably due to their spherical shape and small size. The most dominant criterion is mechanical properties, which have an effective percentage of 34.6% among the other criteria. It means that the reduction of other types rather than oxide NMIs probably enhances the fatigue resistance of the steel.

2

Application of SWARA-CoCoSo-based approach for tool selection of an electrical discharge machining process

Kumar Vidyapati, Mohata Abhishek, Mistri Ankita, Bartoszuk Marian

Sustainable Production, Instrumentation and Engineering Sciences

|

2023

|

vol. 1, nr 1

19--26

EN

Electrical discharge machining (EDM) is a non-traditional machining process widely used in manufacturing to create complex geometries on hard-to-machine materials. The tool material used in EDM plays a crucial role in determining the machining performance and final surface finish of the workpiece. In this research, we aimed to optimize the tool selection for creating circular holes on SG iron (grade 450/12) using EDM. To this end, we employed a step-wise weight assessment ratio analysis (SWARA) based combined compromise solution (CoCoSo) approach to evaluate the performance of different tool materials under various machining conditions. The machining conditions considered in this study included peak current (I), pulse-on time (Ton), and inter-electrode gap (IEG). The results of our study showed that the CoCoSo approach is an effective method for tool selection in EDM, and it can be used to identify the optimal tool material and machining conditions for creating circular holes on SG iron. The final appraisal scores obtained from the ranking of tool materials indicated that copper tools scored highest (2.4767, ranking 1), followed by copper tungsten (2.3615, ranking 2), while brass scored lowest (1.6606, ranking 3). Furthermore, Spearman's rank correlations for different integrated MCDM techniques were performed, which demonstrated the efficacy of this technique. It has been demonstrated that implementing the SWARA-CoCoSo method can effectively optimize the EDM process with regard to sustainable machining practices.

3

Selection of Robot for Contour Crafting Using Analytical Hierarchy Process

Senthilraja S., Raja Muthaiah R.C.

Civil and Environmental Engineering Reports

|

2023

|

Vol. 33, no. 4

123--150

EN

The use of robotic equipment and a new technique called contour crafting allows for the construction of buildings at lower labor and material costs. The selection of the type of robot is an important factor that affects the overall performance of the contour crafting (CC) system. Various robot configurations, such as gantry, cylindrical, and SCARA, may be employed for contour crafting. There are benefits and drawbacks to using different types of robots for various tasks, including cost, work volume, material compatibility, and precision. Identifying a proper robot using the multi-criterion decision-making (MCDM) technique is crucial for successful building automation. This article uses the analytical hierarchy process (AHP) method to rank the best robots according to several characteristics. Cartesian robots, cylindrical robots, and SCARA robots were evaluated based on cost, accuracy, work volume, surface finish, type of profile, and speed. The results showed that the gantry-type robot is the most suitable option, while the cylindrical robot is unsuitable for building construction due to lower accuracy.

4

Material Selection of Collapsible Pot Hauler and Finite Element Analysis Simulation Applied to the Selected Material

Surya Hadi Saputra Rahmad, Iskandar Budhi Hascaryo, Kurniawati Vita Rumanti, Desrial Desrial, Purbayanto Ari

Advances in Science and Technology. Research Journal

|

2023

|

Vol. 17, no 2

289--298

EN

The current collapsible pot hauler uses a wooden frame, thus making much space in the working area of the fishing boat and also at this time challenging to find the best quality wood at this time. In this study, the wood material would replace by metal; the selection of the proper material is critically needed. A suitable material means the applied material has to deal with environmental conditions. Finding the appropriate material applied to the collapsible pot hauler; can be determined using a Multi-Criteria Decision Making (MCDM) approach. After selecting the proper material, the collapsible pot hauler simulates the material stress using the Finite Element Analysis (FEA) simulation. The material for the new model of collapsible pot hauler was selected using the WSM method. The material with the highest rank (selected) is AISI 304, with a preference value of 3.58. The static strength simulation using the FEA method utilizing Solidworks Software shows that the yield strength value is still below the material properties, which a maximum value is 200. MPa, the material safety factor is the minimum value above one, which is 1.24 on the line spool plate shafts. It means that the material AISI 304 is safe to be applied to the collapsible pot hauler.

5

Optimizing service quality management of the bus rapid transport system in lagos using the multi-criteria decision analysis

AdebiyI Sulaimon Olanrewaju, Akinrinmade Oluwagbenga John, Amole Bilqis Bolanle

Zeszyty Naukowe. Transport / Politechnika Śląska

|

2022

|

z. 116

5--23

EN

Evaluation of Bus Rapid Transportation (BRT) based on service quality criteria and customer satisfaction can never be overemphasized due to its derivative, such as optimizing the performance of the transportation industry. Thus, this study employs the multi-criteria decision-making (MCDM) method for the evaluation of service quality and customer satisfaction of the BRT system in Nigeria using the fuzzy analytical hierarchy process (FAHP) and visekriterijumska optimizacija i kompromisno resenje (VIKOR), which are components of multi-criteria optimization and compromise solution to evaluate notable factors responsible for the user’s perspective. Research design is quantitative and analytical in nature through a survey of experts who are users of BRT services. Samples were drawn through a multi-stage sampling procedure and a total of 402 copies of questionnaires were administered to BRT users based on their experience with the system. Hence, VIKOR and FAHP methods are applied to analyse data retrieved from the field on services quality and performance level. The service quality (SERVQUAL) model (a multi-dimensional research instrument designed to capture consumer expectations and perceptions of service) was modified thereby generating six dimensions and thirty-six service criteria for this research. The FAHP method was employed to determine the weights of the decision criteria because there is a need to measure commuters’ perceptions and expectations based on numerical linguistic variables due to the vague, imprecise and complexity related to the nature of services. The criteria weights and responses of the survey analysis (data) related with the BRT are input for the VIKOR method for ranking. As measuring the perception of service quality based on crispy value can often be misleading, hence, the use of the fuzzy MCDM method can give a more realistic measurement. The result of the multi-criteria decision analysis revealed that pricing quality is the most relevant service quality dimension to users’ satisfaction, followed by the empathy quality dimension. The summary of strength and weakness areas of service quality discovered through the research and its managerial implications with recommendations were related to the appropriate authority in charge of the BRT system for improved performance.

6

Use of the grey incidence analysis in the inland waterway transport system assessment

Tabor Joanna

Zeszyty Naukowe Akademii Morskiej w Szczecinie

|

2022

|

nr 72 (144)

57--64

EN

Inland waterway transport (IWT) is currently in focus for EU countries due to a shift in policy towards a more sustainable and green economy. The aim of this article is to analyze the possibility of using a grey incidence analysis (GIA) to identify key factors related to the functioning of the IWT system. GIA is classified as a multi-criteria decision-making method and is one of the key applications of grey systems theory (GTS), i.e., systems with incomplete and uncertain information about structure and behavior. GIA identifies the most favorable (or quasi-preferred) system characteristics and the most favorable (or quasi-preferred) system factors. The identification of such characteristics and factors enables a reduction in the inconsistencies in decision making on the functioning of the system. The application of the GIA to the assessment of the IWT system is an original concept.

7

Conceptual approach to valuation of climate change in EU countries through the prism of economic activities

Stankevičienė Jelena, Borisova Jelena

Rynek Energii

|

2022

|

Nr 5

80--88

EN

In our days' countries pursue not just to have higher or maintain economic growth, but society faces another challenge – to combat climate change: to slower increase of global temperature by decreasing amount of green gas emission. Globalization processes have increased green gas emission. The problem of climate change becomes an overall problem of all countries, as green gas emissions produced by any country has an overall impact on environment of the earth. Public administration and public policies face the problem how to combat climate change not constraining the economy too much. The purpose of the paper is to evaluate the extent to which EU countries are affected to climate change according economic and social factors of countries that can be seen as drivers of green gas emissions. The study relates green gas emission intensity to the extent to which the country is possible to be exploded to climate change according to its data on industry, energy, waste, and agriculture of EU countries. TOPSIS method is used to rank EU countries in combating climate change. The conceptual approach to ranking climate change through the prism of countries economic activities is developed. There are some research limitations – statistical data on the industry, energy, waste, agriculture is limited in order to fulfil the tasks of the research.

8

Simultaneous interpretive structural modelling and weighting (SISMW)

Nasrollahi Mahdi, Ramezani Javaneh, Sadraei Mahmoud, Fathi Mohammad Reza

Operations Research and Decisions

|

2022

|

Vol. 32, No. 1

111--126

EN

Multi-criteria decision-making (MCDM) methods have been implemented in many fields. In the meantime, several methods have been proposed to obtain the weight of the criteria determined by various methods in different ways. In this paper, a new approach, called simultaneous interpretive structural modelling and weighting (SISMW), is proposed to solve a multi-criterion decision-making (MCDM) problem. Using SISMW, the weight of the criteria and the relationship between them could be determined simultaneously. In this approach, like the ISM method, pair comparison between criteria was made by the decision-maker to determine the relationships among the different criteria. With the help of this data, the weight of the criteria, as well as the causal (cause and effect) relationships between them, were determined in 12 steps. The main advantage of this method is that only one stage of data collection is required for obtaining weights and modelling, and so the research process may be faster. This may increase the reliability of the collected data because, in a one-step survey, the impact of time is minimized. This process can be useful for conceptualizing and developing theories to help decisionmakers understand the problem better.

9

Fuzzy failure mode and effect analysis model for operational supply chain risks assessment: an application in canned tuna manufacturer in Thailand

Sumrit Detcharat, Srisawad Sirima

LogForum

|

2022

|

Vol. 18, no. 1

77--96

EN

Background: This study proposes a multi-criterion decision-making (MCDM) framework for operational supply chain risks assessment based on fuzzy failure mode effect analysis model. The proposed framework attempts to overcome some weaknesses and disadvantages of the traditional FMEA in many aspects such as (i) considering “degree of difficulty to eliminate risks” in the assessment process, (ii) using MCDM ranking methodology instead of a risk priority number, (iii) taking both subjective and objective weights of risk criteria into account. Application of the proposed framework used canned tuna production in Thailand as a case study. Methods: In this study, the operational supply chain risks assessment is treated as fuzzy MCDM problem. Subjective weights of risk criteria are determined by experts’ judgements. Objective weights are derived by Shannon entropy method. VIKOR approach is employed to prioritize the failure modes. A sensitivity analysis is performed to examine the robustness of the proposed framework. Results and conclusions: The findings from this study indicates that the most three critical FMs are “risk of product deterioration” followed by “risk of volatility raw materials supplied” and “risk of variabilities in production processes”, respectively. It recommends that the practitioners in canned tuna industry should give the priority to mitigate these risks. Although the present study focuses on canned tuna industry, the other similar industries can apply this proposed framework to assess their operational supply chain risks in the same way.

10

Determining the logistics market performance of developing countries by entropy and MABAC methods

Kara Karahan, Bentyn Zbigniew, Yalçın Galip Cihan

LogForum

|

2022

|

Vol. 18, no. 4

421--434

EN

Background: The levels of logistics market performance of developing countries are published with Agility Emerging Markets Logistics Index (AEMLI) reports. The main purpose of this research is to propose a new model to determine the logistics market performance of developing countries in 2022 and to reorder the developing countries according to their logistics market performance. Methods: AEMLI indicators have been accepted as the basic criteria for determining the logistics market performance. The importance levels of these criteria have been determined by the Entropy technique. The logistics market performance rankings of developing countries according to the criteria were determined using the Multi-Attributive Border Approximation Area Comparison (MABAC) technique. The data set of 50 developing countries included in the 2022 AEMLI report has been used in the investigation. Results: According to the proposed new model, the weights of the criteria and logistics market performance rankings of developing countries have been determined. The importance levels of the criteria have been determined as Business Fundamentals (BF), Digital Readiness (DR), International Logistics Opportunities (ILO), and Domestic Logistics Opportunities (DLO), respectively. The ranking based on the new model was compared with the rankings in the 2022 AEMLI report. 21 of the 50 developing countries have improved their rankings. The ranking of 20 countries has been dropped. There is no change in the ranking of 9 countries. Additionally, according to AEMLI, the country with the highest logistics market performance is China, while the country with the best logistics market performance according to the proposed model is the United Arab Emirates (UAE). Conclusions: Contrary to the literature, Entropy and MABAC techniques were used to rank the logistics market performances of developing countries by making use of AEMLI reports. The issues that countries should focus on in the development of their logistics market performance are shown.

11

Multi-criteria Decision Making Using Hybrid methods for Supplier Selection in the Clothing Industry

Lahdhiri Mourad, Babay Amel, Jmali Mohamed

Fibres & Textiles in Eastern Europe

|

2022

|

Vol. 30, no. 2

23--34

EN

Supplier selection and evaluation are among the most critical issues in supply chain management, affecting companies’ performance because of the important role of suppliers in the chain’s profitability. For this reason, it is important for companies to have an objective methodology to evaluate and choose an appropriate supplier based on convenient criteria in a competitive market. Determination of a convenient supplier selection is a multi-criteria decision-making (MCDM) problem. In the literature, several applications of the MCDM methods for supplier evaluation and selection can be found; however, research studies in the clothing industry are still limited. Indeed, apparel supply chain managers have to consider their supplier-related decisions to reduce risks affecting the company’s performance. This study aims to fill this gap by providing apparel manufacturers with different hybrid models for selecting the best supplier. According to a literature review and questionnaire conducted, the main criteria related to supplier selection were identified and determined. Then, the analytic hierarchy process method was performed to determine the criteria’s weights, and then suppliers were ranked using hybrid multicriteria decision-making models (AHP-TOPSIS, AHP-WSM, and AHP-WPM) to select the suitable one in the apparel chain. This research methodology can be considered useful for apparel companies and other industries.

12

Performance Evaluation of Hydro Power Projects in India Using Multi Criteria Decision Making Methods

Manoj Vasupalli, Rathnala Prasanthi, Sura Srinivasa Rao, Sai Sake Namruth, Murthy Metta Venkata Ramana

Ecological Engineering & Environmental Technology

|

2022

|

Vol. 23, iss. 5

205--217

EN

In the contemporary period of the green economy, energy planning has grown more complicated due to the inclusion of numerous standards, including technical, social, economic, and environmental. This, in turn, restricts the ability of decision-makers to make the most efficient use of energy resources. In addition, the difficulty of energy planning is exacerbated by topographical restrictions on renewable energy systems, the majority of which are found in nature. Based on factors such as total installed capacity, total reservoir capacity, total surface capacity, the height, length, number of units, and the cost of the dam were used to determine the finest hydro power project in India, according to this study. For performance evaluation, multi criteria decision making (MCDM) techniques like analytic hierarchy process (AHP) and TOPSIS (technique for order reference by similarity to ideal solution) are used in conjunction with VIKOR (vlekriterijumsko kompromisno rangiranje) for performance evaluation. AHP is used to calculate the weights of each criteria. The TOPSIS and VIKOR methods will utilise these weights to choose the optimal option. For the purpose of demonstrating the approaches’ applicability, an in-depth case study of various hydropower facilities in India was carried out.

13

Comparative analysis of multi-criteria decision making methods for the assessment of optimal SVC location

Aydin Faruk, Gümüş Bilal

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2022

|

Vol. 70, nr 2

art. no. e140555

EN

The goal of multi-criteria decision making (MCDM) is to select the most appropriate of the alternatives by evaluating many conflicting criteria together. MCDM methods are widely available in the literature and have been used in various energy problems. The key problems studied in electrical power systems in recent years have included voltage instability and voltage collapse. Different flexible alternating current transmission systems (FACTS) equipment has been used for this purpose for decades, increasing voltage stability while enhancing system efficiency, reliability and quality of supply, and offering environmental benefits. Finding the best locations for these devices in terms of voltage stability in actual electrical networks poses a serious problem. Many criteria should be considered when determining the most suitable location for the controller. The aim of this paper is to provide a comparative analysis of MCDM techniques to be used for optimal location of a static VAR compensator (SVC) device in terms of voltage stability. The ideal location can be determined by means of sorting according to priority criteria. The proposed approach was carried out using the Power System Analysis Toolbox (PSAT) in MATLAB in the IEEE 14-bus test system. Using ten different MCDM methods, the most appropriate locations were compared among themselves and a single ranking list was obtained, integrated with the Borda count method, which is a data fusion technique. The application results showed that the methods used are consistent among themselves. It was revealed that the integrated model was an appropriate method that could be used for optimal location selection, providing reliable and satisfactory results to power system planners.

14

Selection of truck mixer concrete pump using novel MEREC DNMARCOS model

Ivanović Biljana, Saha Abhijit, Stević Željko, Puška Adis, Zavadskas Edmundas Kazimieras

Archives of Civil and Mechanical Engineering

|

2022

|

Vol. 22, no. 4

art. no. e173, 2022

EN

Construction is one of the most developed industries of this century, especially thanks to the high rate of urbanization, mobility, and the tendency to fulfill global goals. A very important component of civil engineering is adequate and modern equipment which depends on the efficiency of execution of operations and processes in construction. A novel MCDM (multi-criteria decision-making) scheme was proposed in this paper, which means the development of the original and innovative DNMARCOS (Double normalized measurement alternatives and ranking according to the compromise Solution) for choosing a construction equipment among 16 variant solutions. For determination the criteria weights, an objective MEREC was applied, whose integration with the DNMARCOS method represents an additional contribution. The obtained results show that the first three alternatives Magnum MK 24.4Z-80/115 RH (A1); Magnum MK 28L-5-80/115 RH (A2); Magnum MK 25 H80 RH (A3) are the best solution for a construction company. To check the robustness of the proposed DNMARCOS method, a comparative analysis was made with the extant MCDM methods, and SCC (Spearman's correlation coefficient) coefficient and WS (Wojciech Sałabun) coefficients were calculated. The final results show the justification for the development of the original and innovative DNMARCOS model.

15

Decision-Making Process Development for Industry 4.0 Transformation

Sajjad Ahmad, Ahmad Wasim, Hussain Sulman

Advances in Science and Technology. Research Journal

|

2022

|

Vol. 16, no 3

1--11

EN

Development of design characteristics based dynamic decision support framework is presented in the current study, to facilitate the decision makers in the transformation of system in the industry 4.0 paradigm. The model development is designed for a robust decision-making approach to integrating human and machine knowledge to adopt smart technologies and system design. The system is based on prioritization of the industry 4.0 design principles and characteristics including flexibility, self-adaptability, self-reconfigurability, context awareness, decision autonomy, and real-time capabilities. It has been revealed from an industrial field study, the companies facing difficulty to transform the system, and systematics approach needed to overcome the challenge. A decision support process has been developed as an integrated approach to embedding human knowledge. The developed process has been validated using Technique for Order of Preference by Similarity to Ideal Solution, the results depict the operational flexibility, has been most crucial transformation characteristics prioritized using the Analytical Hierarchical Process. The developed process has the capability to help the system development and estimate the factors involved in the transformation.

16

An application of the AHP method for evaluation of level crossing design in a congested urban area: case study LC Sokolska in Zagreb, Croatia

Barić Danijela, Džambo Antonija

Transport Problems

|

2021

|

T. 16, z. 4

95--106

EN

The AHP method(Analytic Hierarchy Process), as a part of the Multi-Criteria Decision-Making (MCDM) process, is one of the most used methods worldwide for dealing with the complexity of transport project evaluation. A level crossing (LC) is a place where road and rail cross. Therefore, LC is a place where there isa high risk of accidents.The aimof this study is to develop an AHP model for evaluating the alternatives for the reconstruction of LC in a congested urban environment through the weighting of various interdisciplinary criteria and sub-criteria. The AHP model considers six criteria:safety, traffic indicators of the functional efficiency, costs, social benefits, ecology, the time required for reconstruction of LC and their 15 sub-criteria. The model has been tested on LC Sokolska, located in the city of Zagreb, Croatia. Three possible alternatives were proposed to suit the location and the traffic conditions. The alternatives were evaluated according to the developed AHP model and the Expert Choice software package.Asensitivity analysis was performed to confirm the acceptability of the optimal solution.

17

Siting hydropower plant by rough set and combinative distance-based assessment

Agwa Ahmed Mahmoud, Shaaban Shaaban Mohamed

Przegląd Elektrotechniczny

|

2021

|

R. 97, nr 3

15--20

EN

Each power plant (PP) is solo entity whose construction site is determined by different criteria in accordance with some physical rules. Latterly, great importance is provided to siting PP in inexact surroundings. Multiple-criteria decision-making for the proper location of the PP construction is relevant. The objective of this research is to create a model for decision-makers to rank available sites for installing hydropower plant (HPP) in accordance with multiple-criteria attributes e.g. accessibility to electrical grid, power potential, economical respects, environmental influence, topography, and natural hazards. In this research, a novel application of a hybrid approach that employs rough set theory (RST) and combinative distance-based assessment (CODAS) method is proposed to prioritize available locations for installing HPP. Firstly, the strength of RST is adopted to get minimal attributes reduction set. Secondly, the relative weights of minimal attributes are determined using RST. Finally, CODAS technique is utilized to calculate the rank of alternatives. The comparison between the proposed method-based results and the results without attributes reduct, proves that the proposed method saves the time and energy.

PL

Zaproponowano nowatorskie zastosowanie podejścia hybrydowego, które wykorzystuje teorię zbiorów przybliżonych (RST) i metodę oceny kombinowanej opartej na odległości (CODAS) w celu ustalenia priorytetów dostępnych lokalizacji do zainstalowania elektrowni wodnej (HPP) zgodnie z atrybutami wielokryterialnymi, np. dostępność do sieci elektrycznej, potencjał energetyczny, aspekty ekonomiczne, wpływ środowiska, topografia i zagrożenia naturalne.

18

Ranking of management factors for safe maintenance system based on Grey Systems Theory

Tabor Joanna

Production Engineering Archives

|

2021

|

Vol. 27, Iss. 3

196--202

EN

The maintenance system is a key system that provides continuity and safety of the operation of production systems and that affects the safety of people working in these systems. At the same time, the maintenance system is a set of work processes carried out by people under specific environmental conditions, using specific equipment and within a specific organizational and management structure. The purpose of this article is to identify the main management factors that affect occupational safety and to rank these factors in terms of their effectiveness in ensuring safe maintenance, using the grey systems theory. Based on the literature analysis, 12 key management factors were identified and then subjected to expert assessment. In order to rank the factors, a decision model based on the grey systems theory (GST), i.e. systems with incomplete and uncertain information about structure and behavior, was developed and verified. The use of GST in the area of ensuring safety in maintenance is original. The findings of the article will be very useful for managers in implementing safe maintenance systems in various sectors of the economy.

19

A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies

Kokoç Melda, Ersöz Süleyman

Operations Research and Decisions

|

2021

|

Vol. 31, No. 4

89--116

EN

Multi-criteria decision-making (MCDM) is one of the most popular problems handled by researchers in the literature. Since the interval-valued intuitionistic fuzzy set (IVIFS) theory generates as realistic as possible evaluation of linguistic expressions, researchers have been expanding traditional MCDM methods to the IVIF environment, especially in the last decade. This study provides a literature review of the relevant articles from several academic databases on applications of IVIF-MCDM methods. The review of 131 publications addresses specific research questions. To understand the research publication trend, this review offers a visual analysis that examines the studies from different perspectives, such as application areas, IVIF-MCDM methods, citations, most relevant journals, and validation methods. One of the most remarkable results of the literature review is that most publications in this field are published in SCIE indexed journals. Another noteworthy issue is that China is the country that produces the most articles in this field. In addition, English journals are mostly selected for the publication of articles. While it is seen that the investment selection problem is chosen mostly as the application area, the TOPSIS method is preferred mostly in the applications. This study stands out as the most comprehensive one that compiles publications containing extended traditional MCDM methods for IVIF sets. This review will be an important reference for future researchers and decision-makers involved in advancing MCDM methods considering vagueness and ambiguity.

20

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

Kumar Sumit, Gupta Pardeep

Management and Production Engineering Review

|

2021

|

Vol. 13, No. 3

74--83

EN

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.