Decision analysis and methods
Aminullah Teymouri; Hasan Amiri; Somayeh Qajari; Farzaneh Beigzadeh
Abstract
Given the challenges and global uncertainties in the business’s, the use of futurism to improve management in space research center in Iran has become very important. Hence, space sector needs continuous futurology improvement in its systems and processes to obtain higher levels of reliability. ...
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Given the challenges and global uncertainties in the business’s, the use of futurism to improve management in space research center in Iran has become very important. Hence, space sector needs continuous futurology improvement in its systems and processes to obtain higher levels of reliability. Therefore, this study is aiming to design a model to create an organization with high reliability. So, this research is among developing research. In terms of the nature and approach of research, it is a causal-effect research, while it should also be noted that the present study is mixed by Grounded theory. This research has done based on qualitative part of the research and semi-structured interviews with 20 experts and knowledgeable experts in Iran Space Research Institute and active academic experts at universities. Firstly, categories and subcategories have been selected through individual interviews with experts in the field of reliability based on snowball sampling method. The statistical population of this research in a small part consists of active employees of the organization in the Iranian Space Research Institute of 1000 people. The statistical sample in this research is 277 people and the sampling method is also available. The results showed that, security activities, learning and experience survival, high interaction ability activities, job rotation and trust, high learning ability and difficulties at work activities, managers' special attention to supply line forces, high transfer rate, knowledge management, teamwork, loyalty and dignity, teamwork and collaboration, organizational knowledge management, commitment to flexibility, talent management and organized turmoil are essential to create a highly reliable organization.
Decision analysis and methods
Ali Dehghani Filabadi; Gholamreza Hesamian
Abstract
Recently, fuzzy linguistic variables have gained a great deal of attention from researchers in many decision-making problems. In this problems, type-2 fuzzy sets have been used to better cover linguistic data uncertainty. However, many of research works in this regard have been performed in type-2 fuzzy ...
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Recently, fuzzy linguistic variables have gained a great deal of attention from researchers in many decision-making problems. In this problems, type-2 fuzzy sets have been used to better cover linguistic data uncertainty. However, many of research works in this regard have been performed in type-2 fuzzy domain and in static mode. Since the decision-making problems in the real world usually fluctuate over time, so it need to use decision-making models in multi-period of time. In the present research, a Multi-Period (Dynamic) Multi-Attribute Group Decision-Making (MPMADM) method is presented based on type-2 fuzzy sets where decision-making attributes are first expressed in linguistic terms and then incorporated, as interval type-2 fuzzy numbers, into problem-solving where a new integrating operator called Multi-Period Trapezoidal Interval Type-2 Fuzzy Number Weighted Arithmetic averaging (MPTIT2FNWA) is defined on type-2 interval fuzzy numbers to integrate decision-making information in multiple periods of time. Once finished with explaining the proposed method, a numerical example is given to evaluate the proposed method in terms of effectiveness and applicability, with the results compared to those of other methods.
Decision analysis and methods
Abdella Yimam Ali
Abstract
This paper presented greedy algorithm for solving student allocation problem that has arisen in internship program. In internship program, engineering students stay one semester in industries which are located across the country and teachers visit students once/twice for supervision during the program. ...
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This paper presented greedy algorithm for solving student allocation problem that has arisen in internship program. In internship program, engineering students stay one semester in industries which are located across the country and teachers visit students once/twice for supervision during the program. As the industries scatter across the country, teachers spend long time on travel. And this results in wastage of teachers working time and money spent for transport. Therefore, allocating students to universities near the internship location extensively reduces the transport time and money spent for transport. For the current study, we consider 4th mechanical engineering students who are currently working in the industry. The proposed approach extensively decrease the distance traveled from 23,210 km to 2,488.8 km and the time spent on the road from 397 hrs. 40 min to 51 hrs. 30 min. and finally, the results obtained from the greedy algorithm is compared with other heuristics (i.e., Genetic algorithm and Particle swarm optimization) and the greedy algorithm outperforms the other methods.
Decision analysis and methods
O. M. Olabanji
Abstract
Decision-making models such as Analytical Hierarchy Process (AHP), Weighted Decision Matrix (WDM), Pugh Matrix and the likes have been able to assist in the decision process considering the objectives of each evaluation criteria in the alternatives. However, these models need to consider the qualitative ...
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Decision-making models such as Analytical Hierarchy Process (AHP), Weighted Decision Matrix (WDM), Pugh Matrix and the likes have been able to assist in the decision process considering the objectives of each evaluation criteria in the alternatives. However, these models need to consider the qualitative and subjective nature of the design features. In order to reduce the unbalanced scale of judgment and the uncertainty associated with the crisp information in the decision process, fuzzified and hybridized models are necessary. Existing hybridized decision models applied for machine concept selection deploy several design features and sub-features at the conceptual product design, which thus make the decision making process to be tedious. In light of this, this article presents a hybridized decision-making model, which harness the comparative strength and computational integrity of fuzzy pairwise comparison matrix and fuzzy weighted average, to numerically analyse a reasonable amount of machine design features, thereby making decision making process less tedious. Design for reconfigurability and functionality which are peculiar to reconfigurable machines was introduced using a Reconfigurable Assembly Fixture (RAF) as a case study while other design features related to design concept evaluation were grouped under design for X. The result of the hybridized model shows that, concept three is the optimal design from four sets of designs. This is compared to previous publication using the RAF design concepts with different design features and sub-features. The comparison indicates that there is a close range in the final values of the designs due to the inclusion of several sub-features in the decision process which were not used in the previous study.
Decision analysis and methods
A. Lazar Farokhi
Abstract
Today, the use of risk assessment methods in various industries is expanding, as there are currently more than 70 different types of qualitative and quantitative risk assessment methods in the world. These methods are usually used to identify, control and mitigate the effects of hazards. Organizations ...
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Today, the use of risk assessment methods in various industries is expanding, as there are currently more than 70 different types of qualitative and quantitative risk assessment methods in the world. These methods are usually used to identify, control and mitigate the effects of hazards. Organizations should be able to select one or a combination of several types of risk assessment methods that are explored and studied in this article. In some cases, and for the direction of some sensitive processes, especially in the chemical industry, the production of explosive and combustion products such as the gas transmission company should be analyzed before determining the type of method of all methods and the best approach with regard to financial resources, requires qualitative or quantitative or qualitative and quantitative information, time limits, trained personnel limitations, the type of application of the risk identification method, the advantages, and disadvantages of each of these systems. Generally, acceptable risk levels are different for each organization or individual, depending on financial and economic resources, technological constraints, experienced human resources, discretion and management, and underlying risks such as hidden risks. Organizations usually require a system that, in addition to assessing their activities and processes can help them determine the risk situation, determine risk tolerance criteria, and accurately determine the exact risk of their processes, and ... lead them, depending on the complexity of the activity of each industry, the type of system that can bring them to the target. Is different. In this study, the assessment of the risks of gas Transmission facilities in the 9 regions, has been studied and reviewed. After identifying the various activities of the facility, which included three safety measures for equipment, personal and environmental health, and 28 sub-criteria, from previous studies and surveys, and staff comments. Then, using AHP, the fuzzy questionnaire was completed. Pairwise comparison of criteria and sub-criteria by experts and the use of excel software resulted in the weight of the sub-criteria and the compatibility rate. Then, using the verbal variables, five boost pressure facility with Fuzzy TOPSIS was ranked according to the relevant criteria, and the Rasht boost pressure gained the first rank.
Decision analysis and methods
M. Hassanpour
Abstract
The automotive industry comprises all sectors of the design, development, and production as well as marketing and selling of vehicles. Iran's automotive industries possess the largest sector after the oil and petroleum sectors in Iran. The preliminary assessments taken by both of Iranian industries organization ...
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The automotive industry comprises all sectors of the design, development, and production as well as marketing and selling of vehicles. Iran's automotive industries possess the largest sector after the oil and petroleum sectors in Iran. The preliminary assessments taken by both of Iranian industries organization and environment protection agency were reported to the presence of around 71 various kinds of Iranian Automotive Industries (IAI) and provided the data from initial screening once prior to set up industries and process by present research. Current cluster study is targeted to weight and rank all the IAI empirically via Simple Additive Weighting (SAW) and COmplex PRoportional ASsessment (COPRAS) methods supported with weighing systems of Friedman test and Entropy Shannon, SPSS IBM 20, and Excel 2013 software to process raw data. The SAW method is resulted to classify IAI from the largest industry to the smallest one depends on 5 criteria, such as the number of staff, energy consumed (water, fuel, and power), and the land area used. COPRAS model is assigned to rank IAI pertaining to both negative and positive criteria. Finally, awareness of input materials stream introduced into IAI cycle paves the way towards the development of studies related to industrial ecology and industry 4.0.
Fuzzy sets and systems
P. K. Halder; C. L. Karmarker; B. Kundu; T. Daniel
Abstract
Recently, the competitiveness and awareness of productivity have increased rapidly among different industries. Hence, the performance evaluation of the criteria affecting the productivity is needed to improve productivity and strengthen the management of the organization. In Bangladesh, Ready Made Garments ...
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Recently, the competitiveness and awareness of productivity have increased rapidly among different industries. Hence, the performance evaluation of the criteria affecting the productivity is needed to improve productivity and strengthen the management of the organization. In Bangladesh, Ready Made Garments (RMGs) is one of the most probable and profitable sectors which is considered as the main economic strength of the country. In this study, a two-phased research method has been projected to find out some governing factors affecting industry’s output. In the first phase, six criteria associated with the productivity have been identified based on literature, inputs from experts, opinions from the officials and managers of six garments industries in Bangladesh. In the second phase, among different MCDM tools, Fuzzy Analytic Hierarchy Process (FAHP) has been used for evaluating criteria weights and ranking the criteria. Among several criteria, line-balancing criterion has been found as the most important factor to improve the RMG’s productivity.
Decision analysis and methods
M. Barzegar; R. Ehtesham Rasi; A. H. Niknamfar
Abstract
Todays, some challenges such as soil, water and air pollution, and severe health hazards to humanity are the results of growing manufacturer in the real world. These challenges are so-called posing risk for sustainable development of the planet. In this matter, the need of achieving higher economic prosperity, ...
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Todays, some challenges such as soil, water and air pollution, and severe health hazards to humanity are the results of growing manufacturer in the real world. These challenges are so-called posing risk for sustainable development of the planet. In this matter, the need of achieving higher economic prosperity, along with the least environmental impact has led to a new manufacturing paradigm so-called Green Manufacturing (GM). In this way, Small and Medium-sized Enterprises (SMEs) in Iran with ISO 9001 and ISO 14001 certification, and Just-In-Time inventory control, which make up 99.8 percent of all businesses, are responsible for 70 percent of all industrial pollution. In this paper, we explore the drivers of the GM of SMEs’ environmental processes in field of the industrial chemistry and their impacts on GM. Unfortunately, there is no proper work considering a wide range of drivers of GM in an industrial chemistry. We evaluate 500 Iran SMEs in the field on industrial chemistry, and select the Tage Company as a case study for this purpose considering its Greenhouse Gas Emission (GHG). This paper aims to gather the common drivers of GM from several sources on a case study in Tage Iran Company, as well as to analyze them by utilizing Analytical Network Process (ANP) in an uncertain environment. To tackle this uncertainty, the fuzzy ANP is utilized to prioritize the barriers to GM based on environmental, social, and economic perspectives. Finally, based on the obtained drivers, the fuzzy ANP identifies essential critical driver and the priority of drivers by utilizing a pair-wise comparison
Decision analysis and methods
H. R. Seiti; A. Behnampour; D. M. Imani; M. Houshmand
Abstract
Failure Modes and Effects Analysis (FMEA) is being widely used to detect and eliminate known and/or potential failures, problems, errors and so on from system design, process, and/or service, before they reach the customer. It can be done by calculating the risk priority number which is the product of ...
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Failure Modes and Effects Analysis (FMEA) is being widely used to detect and eliminate known and/or potential failures, problems, errors and so on from system design, process, and/or service, before they reach the customer. It can be done by calculating the risk priority number which is the product of three factors: occurrence, severity and detectability. A lot of efforts have been made to overcome the shortcomings of the crisp RPN calculation and extend it to fuzzy environment. In this study, the presented fuzzy approach allows experts to describe the variables of risk priority number using linguistic terms by applying the method of fuzzy axiomatic design (FAD). At the final part of this paper a hypothetical case study demonstrated the applicability of the FMEA model under fuzzy environment.
Decision analysis and methods
B. Nikjo; J. Rezaeian; N. Javadian
Abstract
The Problem of selecting the best player among other good ones is an important issue in the world of sport. Player selection is a big challenge in all types of clubs, involving multiple criteria that should be evaluated simultaneously. Therefore, an appropriate decision approach for player's selection ...
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The Problem of selecting the best player among other good ones is an important issue in the world of sport. Player selection is a big challenge in all types of clubs, involving multiple criteria that should be evaluated simultaneously. Therefore, an appropriate decision approach for player's selection is required. The goal of this research is to present a new model for clubs' head coaches and managers that consider experts' votes and making a good decision. Thus, this paper considers an approach based on WeFA framework and Multiple Criteria Decision Making (MCDM) methods in Multiple Attribute Group Decision Making (MAGDM) problems for the challenge of best player selection where, important criteria and experts' vote is received by using WeFA. Analytic Hierarchy Process method (AHP) is used for determining the Weight of each criterion. Extended TOPSIS and its application in MAGDM are applied for weighting to decision makers (DMs) and ranking of alternatives. This research can be useful as a practical and scientific framework for managers and head coaches of clubs all around the world. Finally, a numerical example is evaluated to illustrate the proposed methodology.
