Browsing by Author "Zavadskas, E.K."
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Item Metadata only Coalition or decentralization: a game-theoretic analysis of a three-echelon supply chain network(2014-07-08) Amoozad Mahdiraji, Hannan; Govindan, K.; Zavadskas, E.K.; Razavi Hajiagha, S.H.Supply chains have become the major and dominant paradigm of business and competition. The main challenge is how to act in multi-echelon supply chains considering the levels involved. Making a choice independently or integrating with some or all levels will be a critical decision, and therefore affects the overall profit of the chain. This article proposes a non-cooperative game theory approach to helping in making a better decision in the supply chain and gaining the most accessible benefit. Our research considers unlimited three-echelon supply chains with S suppliers, M manufacturers and K retailers. The Nash equilibrium and definition are used bearing in mind inventory and pricing and marketing cost as decision variables for this matter. This paper studies a three-echelon supply chain network and focuses on the value of integrating a pair of partners in the chain. In the decentralized case, the supplier sets its own price, the manufacturer points out order quantity, wholesale price and backorder quantity, and the retailer charges the final retail price of the product and marketing product. Though there are multiple players at a single echelon level, each manufacturer supplies only a specific product to a given retailer. In addition to the decentralized case, two integration scenarios have been taken into account: manufacturer-retailer and supplier-manufacturer. As for manufacturer-retailer integration, inventory/holding cost issues diminish to a single warehouse and the retailer does not have to enforce marketing effort any more. Supplier-manufacturer integration brings similar benefits. Under each scenario, all parties involved simultaneously set their strategies. Through a numerical experiment, 17 design cases (through designing experiments) have been developed and the total profit of the supply chain under each scenario has been evaluated. Statistical tests on the above introduced 17 experiments have found that the decentralized system performs significantly worse than the integration of the supplier with the manufacturer, whereas no significant difference can be observed regarding other combinationsItem Metadata only Evaluating Strategies for Implementing Industry 4.0: A Hybrid Expert Oriented Approach of BWM and Interval Valued Intuitionistic Fuzzy TODIM(Taylor and Francis, 2020-05-02) Amoozad Mahdiraji, Hannan; Zavadskas, E.K.; Rajabi, R.; Arab, A.Developing and accepting industry 4.0 influences the industry structure and customer willingness. To a successful transition to industry 4.0, implementation strategies should be selected with a systematic and comprehensive view to responding to the changes flexibly. This research aims to identify and prioritise the strategies for implementing industry 4.0. For this purpose, at first, evaluation attributes of strategies and also strategies to put industry 4.0 in practice are recognised. Then, the attributes are weighted to the experts’ opinion by using the Best Worst Method (BWM). Subsequently, the strategies for implementing industry 4.0 in Fara-Sanat Company, as a case study, have been ranked based on the Interval Valued Intuitionistic Fuzzy (IVIF) of the TODIM method. The results indicated that the attributes of ‘Technology’, ‘Quality’, and ‘Operation’ have respectively the highest importance. Furthermore, the strategies for “new business models development’, ‘Improving information systems’ and ‘Human resource management’ received a higher rank. Eventually, some research and executive recommendations are provided. Having strategies for implementing industry 4.0 is a very important solution. Accordingly, multi-criteria decision-making (MCDM) methods are a useful tool for adopting and selecting appropriate strategies. In this research, a novel and hybrid combination of BWM-TODIM is presented under IVIF information.Item Metadata only Evolving a linear programming technique for MAGDM problems with interval valued intuitionistic fuzzy information(Elsevier, 2015-08-04) Razavi Hajiagha, S.H.; Amoozad Mahdiraji, Hannan; Hashemi, S.S.; Zavadskas, E.K.It is believed that multi attribute decision making problem is an ill-defined and unstructured problem. This difficulty intensifies while considering the uncertainty of decision makers’ information about the problem. In recent years, interval valued intuitionistic fuzzy sets (hereafter IVIFs) as a generalization of ordinal fuzzy sets, became a well-known and widely applied framework for dealing with uncertainty of decision making problems. However, the mathematical programming aspects of interval valued intuitionistic fuzzy sets besides their applications in decision making problems are neglected. To reinforce the mathematical programming approach in IVIF environment, an IVIF multi attribute group decision making problem is formulated as a linear programming model. Using a variable transformation and the notion of aggregation operators, the proposed model is transformed into an equivalent linear programming model solvable by common approaches. Application of the proposed method is represented in a group decision making problem and the results are compared with similar methods, proving the compatibility of the proposed method with previous ones. The solid and understandable logic with computational easiness are the main advantages of the proposed method. Solving interval valued intuitionistic fuzzy linear programming problems can be applied lucratively in other problems being formulated in this context.Item Open Access An extension of fuzzy SWOT analysis: An application to information technology(MDPI, 2018-02-27) Taghavifard, M.T.; Amoozad Mahdiraji, Hannan; Alibakhshi, A.B.; Zavadskas, E.K.; Romauldas, B.When considering today’s uncertain atmosphere, many people and organizations believe that strategy has lost its meaning and position. When future is predictable, common approaches for strategic planning are applicable; nonetheless, vague circumstances require different methods. Accordingly, a new approach that is compatible with uncertainty and unstable conditions is necessary. Fuzzy logic is a worldview compatible with today complicated requirements. Regarding today’s uncertain and vague atmosphere, there is an absolute requirement to fuzzify the tools and strategic planning models, especially for dynamic and unclear environment. In this research, an extended version of Strengths, Weaknesses, Opportunities and Threats (SWOT) fuzzy approach has been presented for strategic planning based on fuzzy logic. It has solved the traditional strategic planning key problems like internal and external factors in imprecision and ambiguous environment. The model has been performed in an information technology corporation to demonstrate the capabilities in real world casesItem Open Access Formulation of Manufacturing Strategies Based on An Extended SWARA Method with Intuitionistic Fuzzy Numbers: An Automotive Industry Application(Vilnius University, 2021-04-01) Amoozad Mahdiraji, Hannan; Zavadskas, E.K.; Arab, A.; Turskis, Z.; Sahebi, I.G.Applying any kind of manufacturing strategy requires evaluating the current situation of the system at the internal and external levels and providing strategies for improving the system performance. Hence, the study presents review and design the optimal manufacturing strategy for increasing the efficiency of the automotive industry. This article presents a three-step manufacturing strategy model using Miltenburg worksheet and extended the Stepwise Weight Assessment Ratio Analysis (SWARA) method into the intuitionistic fuzzy environment. It concentrates on five manufacturing objectives encompassing the production system, manufacturing outputs, manufacturing leverage, production capabilities, and competitive analysis. First,the basis of current production system is Product\Volume Layout\Flow Matrix (PV-LF) matrix. At the point, six manufacturing levers are analysed and assessed. The following step extends the SWARA method into the intuitionistic fuzzy environment. The research evaluates manufacturing outputs (delivery and cost, quality and performance) to define criteria of the optimal production system. Eventually, the study describes optimal strategies. Thus, the production system could change to the optimal policy. The results demonstrated that the case study production system is Equipment Paced Line Flow (EPL) and should vary from EPL to Just in Time (JIT). Furthermore, changing manufacturing levers is necessary to execute the proposed framework successfully.Item Metadata only A Fuzzy Binary Bi objective Transportation Model: Iranian Steel Supply Network(Vilnius Gediminas Technical University, 2018-10-02) Amoozad Mahdiraji, Hannan; Beheshti, M.; Zavadskas, E.K.; Razavi Hajiagha, S.H.Prominent influence of transportation costs on supply chain overall profit indicates the importance and emergence of transportation optimization models. Regarding this issue and in view of realistic situation consisting of non-deterministic information, in this research optimizing inbound and outbound transportation costs of a multi echelon supply chain has been considered. To deal with uncertain time deliveries and pricing strategies adopted by different members of supply chain, in conjunction with unpredictable demand rate, fuzzy logic and specifically Trapezoidal Fuzzy Numbers (TrFNs) are included. After designing a fuzzy binary multi objective model based upon structural assumptions, the solving approach is proposed and the model is employed on Iranian steel supply network to illustrate the potential and advantages of our scheduled model. The bi-objective mixed integer fuzzy programming model presents and encompasses many realistic circumstances making the model applicable in network transportation cases.Item Open Access A fuzzy data envelopment analysis approach based on parametric programming(2013) Razavi Hajiagha, S.H.; Amoozad Mahdiraji, Hannan; Hashemi, S.S.; Zavadskas, E.K.In this paper, a fuzzy version of original data envelopment models, CCR and BCC, is extended and its solution approach is developed. The basic idea of the proposed method is to transform the original DEA model to an equivalent linear parametric programming model, applying the notion of α-cuts. Then, a bi-objective model is constructed which its solution has determined the optimal range of decision making units efficiency. The proposed method can be used both for symmetric and asymmetric fuzzy numbers, while the feasibility of its solution for the original problem is guaranteed. The application of the proposed method is examined in two numerical examples and its results are compared with two current models of fuzzy DEA.Item Metadata only Fuzzy multi-objective linear programming based on compromise VIKOR method(2014-05-16) Razavi Hajiagha, S.H.; Amoozad Mahdiraji, Hannan; Hashemi, S.S.; Zavadskas, E.K.Real-world decision-making problems often consist in considering multiple and antithetic objectives. Therefore, multi-objective decision making (MODM) is a practical framework in implicational areas. In this paper, a fuzzy MODM problem is considered, where all of its parameters are defined fuzzily, and a solution inspired by multi-attribute VIKOR method is proposed. The proposed method tries to find fuzzy efficient solution for a problem by minimizing its combinational distance from an ideal and anti-ideal solution. This method can reveal the efficient frontier of the problem. Applicability of the proposed method is shown in an illustrative example and its application is summarized in an investment problem. Both examples show applicability of the proposed method.Item Open Access Game theoretic approach for coordinating unlimited multi echelon supply chains(2015) Amoozad Mahdiraji, Hannan; Zavadskas, E.K.; Razavi Hajiagha, S.H.In order to achieve the overall objectives of the supply chain (SC), there have been seen many contradictions between the components and different levels, and these disorders may result in decreased strength and competitiveness The main contradictions that are considered in this paper comprise inventory, pricing and marketing costs in an unlimited three echelon supply chain. The basics of the game theory make it a suitable and reliable tool for solving contradiction situations by considering all the levels and players’ goals. Initially, an unlimited three echelon supply chain, including S suppliers, M manufacturers, and K retailers, is considered in order to solve the aforementioned problem. Further on, a nonlinear mathematical cooperative model based on specific assumptions, game theory approach, Nash equilibrium definition, Pareto efficiency, and revenue sharing contract is proposed. Subsequently, the proposed model is employed in a numerical example, and the results are illustrated according to the genetic algorithm. Furthermore, the sensitivity of the proposed model is analysed using the design of experiment. Ultimately, the validation of the proposed cooperative model is assessed by the simulationItem Embargo A Hybrid Fuzzy BWM-COPRAS Method For Analyzing Key Factors of Sustainable Architecture(MDPI, 2018-05-18) Amoozad Mahdiraji, Hannan; Zavadskas, E.K.; Arzaghi, Sepas; Stauskis, G.Sustainable development by emphasizing on satisfying the current needs of the general public without threating their futures, alongside with taking the environment and future generations under consideration, has become one of the prominent issues in different societies. Therefore, identifying and prioritizing the key factors of sustainable architecture according to regional and cultural features could be the first step in sustaining the architecture as a process and an outcome. In this paper, the key indicators of the environmental sustainability in contemporary architecture of Iran has been identified and prioritized. This study has been performed in three phases. First, identifying key factors of environmental sustainability according to the experts’ point of view and transforming the collected data to triangular fuzzy numbers. Subsequently, the best-worst multi-criteria decision-making method (henceforth BWM) under grey system circumstances has determined the weights and priority of the identified criteria. Eventually, identified key factors were prioritized by the complex proportional assessment method (hereafter COPRAS) under the condition of fuzzy sets. The results indicate that the key factors of creating engagement between buildings and other urban systems has the highest priority in the built environment sustainability in contemporary architecture and proving building management systems has the lowest.Item Open Access An interval multi objective critical path method considering time, cost, quality and risk(2016) Amoozad Mahdiraji, Hannan; Razavi Hajiagha, S.H.; Hashemi, S.S.; Zavadskas, E.K.Item Metadata only Marketing Strategies Evaluation based on Big Data Analysis: A Clustering-MCDM Approach(Taylor and Francis, 2019-09-03) Amoozad Mahdiraji, Hannan; Kazeminia, A.A.; Zavadskas, E.K.; Abbasi Kamardi, A.A.Nowadays, a huge amount of data is generated due to rapid Information and Communication Technology development. In this paper, a digital banking strategy has been suggested applying these big data for Iranian banking industry. This strategy would guide Iranian banks to analyse and distinguish customers’ needs to offer services proportionate to their manner. In this research, the balances of more than 2,600,000 accounts over 400 weeks are computed in a bank. These accounts are clustered based on justified RFM parameters containing maximum balances, the most number of maximum balances and the last week number with the maximum balance using k-means method. Subsequently, the clusters are prioritised employing Best Worst Method- COmplex PRoportional ASsessment methods considering the diverse inner value of each cluster. The accounts are classified into six clusters. The experts named the clusters as special, loyal, silver- high interaction, silverlow interaction, bronze, averted- low interaction. silver-low interaction cluster and loyal cluster are picked in order by experts and BWM-COPRAS as the most influential clusters and the digital banking strategy is developed for them. RFM parameters are modelled for customers’ accounts singly. The aggregation of the separate accounts of a customer should be considered.Item Metadata only MAXIMIZING AND MINIMIZING SETS IN SOLVING FUZZY LINEAR PROGRAMMING(2014) Razavi Hajiagha, S.H.; Amoozad Mahdiraji, Hannan; Zavadskas, E.K.; Hashemi, S.S.Item Metadata only Multicriteria group decision making with ELECTRE III method based on interval-valued intuitionistic fuzzy information(Elsevier, 2016-09-26) Hashemi, S.S; Razavi Hajiagha, S.H.; Zavadskas, E.K.; Amoozad Mahdiraji, HannanA great number of real world problems can be associated with multicriteria decision making. These problems are often characterized by a high degree of uncertainty. Interval-valued intuitionistic fuzzy sets are a generalized form of an ordinal fuzzy set to deal with this natural uncertainty. In this paper, an enhanced version of the ELECTRE method, called ELECTRE III, is extended under the interval-valued intuitionistic fuzzy environment. The advantages and strengths of ELECTRE III as a decision aid technique and interval-valued intuitionistic fuzzy sets as an uncertain framework make the proposed method a suitable choice in solving practical problems. The application of the proposed method is illustrated by the solution of an investment project selection problemItem Open Access A novel hybrid approach for technology selection in the information technology industry(MDPI, 2018-03-16) Mokhtarzadeh, N.; Amoozad Mahdiraji, Hannan; Beheshti, M.; Zavadskas, E.K.High-tech companies are rapidly growing in the world. Research and development (hereafter R&D) department strength is the main asset that allows a firm to achieve a competitive advantage in high-tech businesses. The allocated budget to this sector is finite; thus, integration, human resource, risk and budget limitations should be considered to choose the most valuable project in the best portion of time. This paper investigates a case study from a high-tech company in Iran to prioritize the most attractive technologies for the R&D department. The case consists of twenty three technology options and the goal is to find the most attractive projects to sort them out for implementation in the R&D department. In this research, scholars proposed the best–worst method (henceforth BWM) to find the weight of the criteria of the attractive technologies in first step and utilize the newly developed method total area based on orthogonal vectors (henceforward TAOV) to sort the selected technologies based upon the identified criteria. Project integration is one of the least-noticed subjects in scientific papers; therefore, the researchers presented a zero or one linear programming (ZOLP) model to optimize and schedule the implementation procedure on the project risk, budget and time limitation simultaneously. The results indicate that starting few but attractive projects in the first years and postponing the rest to the future, helps a firm to manage funds and gain profit with the least amount of riskItem Open Access Strategy Portfolio Optimisation: A COPRAS G-MODM Hybrid Approach(2016) Beheshti, M.; Amoozad Mahdiraji, Hannan; Zavadskas, E.K.Designing organisational strategies in various businesses is a commonly employed practice; nevertheless, nowadays the strategy portfolio optimisation is one of the major controversial issues. This research proposes an inclusive model to evaluate and select organisational strategies based on the boundaries of its resources. In order to achieve such a model, first of all, a grey COPRAS model is applied to evaluate organisational strategies under uncertain circumstances. Subsequently, on the basis of the aforementioned method, a mixed integer multi-objective linear programming model is depicted to optimise the strategy selection process according to COPRAS-G strategy significance results and with regard to time, cost and other structural constraints as well as organisational policies. Ultimately, a mixed COPRAS G-MODM is transformed to a binary goal programming model and the suggested approach is employed in Iran Mercantile Exchange for strategy portfolio optimisation.