Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS

In this paper, public services are analyzed for implementations of Industry 4.0 tools to satisfy citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP and fuzzy Z-WASPAS are used in the analysis. The decision criteria are determined as reduced cost, fast response, ease of accessibility, reduced service times, increase in the available information and increased quality. After obtaining criteria weights using fuzzy Z-AHP, health care services, waste disposal department, public transportation, information services, social care services, and citizen complaints resolution centers are compared using fuzzy Z-WASPAS that is proposed for the first time in this paper. Results show that health care services have dominant importance for the digitalization among public services.WOS:000604482500002Science Citation Index ExpandedQ2Article; Early AccessUluslararası işbirliği ile yapılmayan - HAYIROcak2021YÖK - 2020-2

Can fuzzy Multi-Criteria Decision Making improve Strategic planning by balanced scorecard?

Strategic management is momentous for organizational success and competitive advantage in an increasingly turbulent business environment. Balanced scorecard (BSC) is a framework for evaluating strategic management performance which translates strategy into action via various sets of performance measurement indicators. The main objective of this research is to develop a new fuzzy group Multi-Criteria Decision Making (MCDM) model for strategic plans selection process in the BSC. For this to happen, the current study has implemented linguistic extension of MCDM model for robust selection of strategic plans. The new linguistic reasoning for group decision making is able to aggregate subjective evaluation of the decision makers and hence create an opportunity to perform more robust strategic plans, despite of the vagueness and uncertainty of strategic plans selection process. A numerical example demonstrates possibilities for the improvement of BSC through applying the proposed model

AN INTEGRATED FRAMEWORK FOR QUALITY EVALUATION OF FRUITS AND VEGETABLE STORE LOCATED IN THE SUPERMARKET UNDER UTOPIAN ENVIRONMENT

Customer satisfaction depends on the availability of different varieties of fruits and vegetables in a supermarket store as well as the quality of this supermarket store for fruits and vegetables. The store may contain different variety of fruits and vegetables in a utopian environment. Apart from this, there are several quality parameters of a fruits and vegetable store. The quality evaluation of fruits and vegetable stores located in a supermarket is a big challenge for managerial personnel. Here, a quality evaluation framework is proposed for the fruits and vegetable store. The committee of experts identifies and finalizes the quality evaluation parameters through a brainstorming session. Fuzzy AHP is used to calculate the weights of evaluation parameters. A fuzzy TOPSIS generally ranks for the alternative stores. An improved fuzzy TOPSIS, which is named fuzzy k-TOPSIS, is proposed here to evaluate the quality of fruits and vegetable stores located in a supermarket. The fuzzy k-TOPSIS will provide rank as well as classification of the alternatives. A numerical example is demonstrated for a better understanding of the proposed framework

Combining Fuzzy MCDM with BSC Approach in Performance Evaluation of Iranian Private Banking Sector

The objective of this study is to construct an approach based on multiple criteria decision making (MCDM) and balanced scorecard (BSC) for evaluating performance for three nongovernmental Iranian's banks. Following the literature relating to banking performance and BSC concepts, experts and managers select 21 indexes for evaluation. Furthermore, fuzzy analytic hierarchy process (FAHP) calculated the relative weights of each chosen index in order to tolerate vagueness and ambiguity of information, and three MCDM analytical tools (TOPSIS, VIKOR, and ELECTRE) were adopted to rank the banking performance. The results indicate that a customer “” has the most significant BSC perspectives and the customer satisfaction “1” is the most major index in banking sector. This proposed fuzzy MCDM method combined with BSC approach is a comprehensive and up-to-date model that can be a useful and effective assessment tool

A Hybrid Multi-Criteria Analysis Model for Solving the Facility Location–Allocation Problem: a Case Study of Infectious Waste Disposal

Choosing locations for infectious waste disposal (IWD) is one of the most significant issues in hazardous waste management due to the risk imposed on the environment and human life. This risk can be the result of an undesirable location of IWD facilities. In this study a hybrid multi-criteria analysis (Hybrid MCA) model for solving the facility location–allocation (FLA) problem for IWD was developed by combining two objectives: total cost minimization and weight maximization. Based on an actual case of forty-seven hospitals and three candidate municipalities in the northeastern region of Thailand, first, the Fuzzy AHP and Fuzzy TOPSIS techniques were integrated to determine the closeness of the coefficient weights of each candidate municipality. After that, these weights were converted to weighting factors and then these factors were taken into the objective function of the FLA model. The results showed that the Hybrid MCA model can help decision makers to locate disposal centers, hospitals and incinerator size simultaneously. Besides that the model can be extended by incorporating additional selection criteria/objectives. Therefore, it is believed that it can also be useful for addressing other complex problems

The construction and application of brand value evaluation model for China's pharmaceutical industry

In today's information age, strong brands can prolong the life cycle of products and enhance the competitiveness and overall value of pharmaceutical enterprises. Therefore, this study hopes to build a set of brand value evaluation system suitable for Chinese pharmaceutical industry, and dig deep into the connotation of brand value of Chinese pharmaceutical industry. Through a brief analysis of the advantages and limitations of the current mainstream brand value assessment methods at home and abroad, this study selects the relatively authoritative Interbrand model to optimize and improve. The improvement of Interbrand model mainly involves the following three aspects: First, for the determination of the brand function index, the analytic hierarchy process is used instead of the expert scoring method to determine the excess return that the brand brings to the enterprise. The second is to introduce consumer strength and socio-cultural strength when calculating brand strength. Thirdly, the weight of each factor of brand strength is adjusted, and the fuzzy comprehensive evaluation method is used to calculate the evaluation index. Finally, Y Company is taken as an example to apply the adjusted Interbrand model, and the rationality of the results of this study is expounded. This study modifies the Interbrand model as the basic model, and preliminarily constructs the brand value evaluation system of Chinese pharmaceutical industry, hoping to enrich the research of brand value of Chinese pharmaceutical enterprises with a certain reference significance.Atualmente, na era da informação, marcas fortes podem prolongar o ciclo de vida dos seus produtos e melhorar a competitividade e valor global das empresas na indústria farmacêutica. Neste sentido, este estudo espera contribuir para a construção de um sistema de avaliação de valor da marca ajustado à industria farmacêutica na China, procurando aprofundar, igualmente, a noção de valor de marca para esta indústria. Através de uma análise das vantagens e desvantagens dos principais métodos de avaliação de marca, nacional e internacionalmente, este estudo selecionou o modelo Interbrand para o optimizar e melhorar neste contexto. A tentativa de melhoria do Modelo Interbrand envolve 3 aspetos: primeiro, para a determinação do índice de função de marca, o processo de hierarquia analítica é usado em vez do método de pontuação de especialistas para determinar o retorno que a marca traz à empresa. O segundo procura apresentar a força do consumidor e a força sociocultural ao calcular a força da marca. Finalmente, o peso de cada fator de força da marca é ajustado, e o método de avaliação abrangente "fuzzy" é usado para calcular o índice de avaliação. Finalmente, o Grupo Y é usado como exemplo para aplicar o Modelo Interbrand ajustado, e a racionalidade dos resultados deste estudo é apresentada Este estudo modifica o modelo Interbrand como modelo básico e procura atualizá-lo para construir um sistema de avaliação do valor da marca para a indústria farmacêutica na China esperando enriquecer a investigação nesta área

Critical Success Factors of Alignment between Websites and OCAs in the Manufacturing Industry

In this study, a list containing twelve organizational critical activities (OCAs) of manufacturing industry is found out by the interviews with executives and revision of two experts. The analysis on secondary data and the deeper interviews are carried out to obtain the critical success factors of the alignment between websites and OCAs in the manufacturing industry. Six common critical success factors of the three companies are: Support of Executives, Excellent and Professional Team, Full Communication, Harmonic Website Build Process, Technical Support, and Complete Information System Architecture. Finally, this study hopes that companies in the manufacturing industry can improve the competitiveness according to the result of this study

Performance Management Model of Sustainable Safe Production at Deep Mill Level Zone PT. Freeport Indonesia

One of the mine expansions that is expected to accelerate the production rate of PT Freeport Indonesia is the Deep Mill Level Zone (DMLZ) mine. The block caving mining method used at the DMLZ mine results in higher productivity levels at lower operating costs but requires ongoing equipment maintenance. This research aims to describe the factors and criteria that determine the production process, find a performance management model, and find the right strategic priorities to increase productivity at DMLZ mine. We analysed the condition of the maintenance management system at the DMLZ mine to find solutions and strategies so that equipment maintenance could be managed effectively. Sustainable Safe Production performance management is developed based on the Balanced Scorecard (BSC) approach combined with the Analytical Network Process (ANP), which is expected to determine the priority of solutions and strategies based on predetermined criteria and indicators. This performance management model considers six perspectives: finance, customers, production, safety, internal business processes, and learning and growth processes as benchmarks in measuring performance. We explained the determination of priority strategies that can be done to achieve three goals in sustainable safe production management: achieving production targets, safe and healthy mining processes, and achieving operational cost-effectiveness. Keywords: analytical network process (ANP), balanced scorecard (BSC), performance management, safe production, sustainable productio

Coal fired power plant instrument

Coal fired is one of the most valuable sources that can be used to sustain the existence of life. Coal fired can be exploited in producing electricity. In Malaysia, there a few power plants that use coal fired as main source. To name a few, in Manjung there are coal fired plant produced 3100MW, in Tanjung Bin produced 2100MW and Jimah Power produced 1400MW. All these power plants located in South East Malaysia that used coal fired as main source. There are a lot of instrument specifically sensors and transducers applied in power plant. All these sensors and transducers used to monitor every single thing such as pressure, temperature, level and many other measurement parameters. The sensors and transducers that involved in monitoring the measurement parameters are pressure gauge, pressure transmitter, thermocouple, flow transmitter, proximity sensor, limit switch, radar, RTD and many more. Power plant applied process control system in order to link up the instruments and Human Machine Interface (HMI). HMI is a software application that presents information to an operator or user about the state of a process, and to accept and implement the operators control instructions. Typically information is displayed in a graphic format (Graphical User Interface or GUI) [1]. In general coal fired power plant or known as thermal power station is a power plant in which the prime mover steam driven. Water is heated to produce steam which drives the turbine as a result induced an electrical energy