Weighting indicators of employee performance evaluation using Taguchi experimental design approach

Performance evaluation is a prerequisite for many activities in the field of human resource whose accurate implementation results in efficiency and effectiveness of performance feedback, training and development, employee promotion, human resource planning, etc. So accurate weighting of evaluation indicators is of great importance and can affect evaluation results. Therefore, using Taguchi experimental design, this study tries to weight indicators realistically taking into account interaction and synergy force among indicators. Moreover, differences in the importance of different levels of indicators were investigated. The result of using Taguchi experimental design as weight indicators showed that this approach can be a proper way to weight performance evaluation indicators

A hybrid approach to achieve organizational agility: An empirical study of a food company

Purpose: In today’s intense global competition, agility is advocated as a fundamental characteristic for business survival and competitiveness. The purpose of this paper is to propose a practical methodology to achieve and enhance organizational agility based on strategic objectives. Design/methodology/approach: In the first step, a set of key performance indicators (KPIs) of the organization being studied are recognized and classified under the perspectives of balanced scorecard (BSC). Critical success factors are then identified by ranking the KPIs according to their importance in achieving organizational strategic objectives using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). In the second step, three houses of quality (HOQs) are constructed sequentially to identify and rank the main agile attributes, agile enablers, and improvement paths. In addition, in order to translate linguistics judgments of practitioners into numerical values in building HOQs, fuzzy logic is employed. Findings: The capability of the proposed methodology is demonstrated by applying it to a case of a multi-national food company in Iran. Through the application, the company could find the most suitable improvement paths to improve its organizational agility. Research limitations/implications: A limited number of KPIs were chosen due to computational and visual constraints related to HOQs. Another limitation, similar to other agility studies, which facilitate decision making among agility metrics, was that the metrics were more industry-specific and less inclusive. Practical implications: A strong practical advantage for the application of the methodology over directly choosing agility metrics without linking them is that through the methodology, the right metrics were selected that match organization’s core values and marketing objectives. While metrics may ostensibly seem unrelated or inappropriate, they actually contributed to the right areas where there were gaps between the current and desired level of agility. It would otherwise be impossible to choose the right metrics without a structured methodology. Originality/value: This paper proposes a novel methodology for achieving organizational agility. By utilizing and linking several tools such as BSC, fuzzy TOPSIS, and quality function deployment (QFD), the proposed approach enables organizations to identify the most appropriate agile attributes, agile enablers, and subsequently agile improvement paths

Sustainable supply chain management towards disruption and organizational ambidexterity:A data driven analysis

Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation

Measuring supply chain agility using fuzzy rule base and fuzzy agility index in the electronics industry (case study: PISHRANEH Company, Sari, Iran)

To achieve a competitive edge in the rapidly changing business environment, companies must align with suppliers and customers to streamline operations, as well as working together to achieve a level of agility beyond individual companies. Consequently, agile supply chains are the dominant competitive vehicles. Due to the ambiguity of agility assessment, most measures are described subjectively using linguistic terms. In this research, it is identified different dimensions of the agility. It is studied how the PISHRANEH Company accesses the agility in its supply chain as a case study. The innovation of this paper is the simultaneous use of Fuzzy rule-based and the Fuzzy agility index approaches which it is applied for the first time in such articles. Finally, it is represented some suggestions for the progress of agility level of the supply chain of the company and some for the future

A Hybrid Approach Using ISM For Leveling Agile Criteria And Fuzzy AHP To Determine The Relative Weights Of Evaluation Criteria And Fuzzy TOPSIS To Rank The Alternatives

In today’s organizations, performance measurement comes more to the foreground with the advancement in the high technology. Supplier selection is an important issue in supply chain management. In recent years, determining the best supplier in the supply chain has become a key strategic consideration. However, these decisions usually involve several objectives or criteria, and it is often necessary to compromise among possibly conflicting factors. Thus, the multiple criteria decision making (MCDM) becomes a useful approach to solve this kind of problem. In order to use the conceptual framework for measuring performance supplier, a methodology that takes into account both quantitative and qualitative factors and the interrelations between them should be utilized. for leveling an integrated approach of analytic hierarchy process AHP and fuzzy TOPSIS method is proposed to obtain final ranking. The interactions among the criteria are also analyzed before arriving at a decision for the selection of supplier from among six alternatives. Linguistic values are used to assess the ratings and weights for criterion. These linguistic ratings can be expressed in triangular fuzzy numbers. Then, a hierarchy multiple criteria decision-making (MCDM) model based on fuzzy-sets theory including FAHP and FTOPSIS are applied. There are two approaches for aggregating values including relative importance of evaluation criteria with respect to the overall objective and rating of alternatives with respect to each criterion in fuzzy group TOPSIS: First aggregation and Last aggregation. In first aggregation approach weight of each criterion and rating of alternatives with respect to each criterion gained from decision makers are aggregated at first and TOPSIS method then apply to these aggregate values. In last aggregation approach weight of each criterion and rating of alternatives with respect to each criterion gained from decision makers are used in TOPSIS method directly. In this paper use the first method and gained weight of each criterion from AHP. This research has been conducted on manufacturing industry. However the results can also be used for other types of organizations managers that are located in a competitive environment

Promoting Organizational Agility Using Fuzzy QFD Approach

In today's business world, agility is considered as one of the most important characteristics in competitive industries. Hence, this study presents a new approach toward promoting organizational agility in companies and institutions. The proposed approach is based on the Quality Function Deployment (QFD) technique, and, is accomplished by constructing two House of Quality (HOQ) Sequentially. As the first step, the most important competitive bases related to desired industry, should be identified. The second step is allocated to identify and strengthen those agile attributes which are needed for the company in order to achieve the competitive bases. Finally, as the third Step, proper agile enablers that are suitable tools to achieve the mentioned agile attributes, identified and being exploited. As a result, the organization can attain market competitive bases relying on a set of appropriate agile enablers related to its specialized field of activity. In this paper, the whole scaffold exploits fuzzy logic to translate linguistics judgements of experts into numerical values. Eventually, an illustrative example, grounded on data available in literature, is presented and discussed to investigate the proposed approach analytically