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Proposing an Application Model for Personnel Recruitment by Using a Multi-Criteria Decision-Making (MCDM) Approach
Published in Tugrul Daim, Marina Dabić, Yu-Shan Su, The Routledge Companion to Technology Management, 2023
Sinan Yimaz Yuruten, Cagla Ozen, Fazli Yildirim, Tugrul Daim, Amir Shaygan
Sometimes, due to dependencies and influences between decision elements (inner/outer), decision problems cannot be depicted in a hierarchical fashion (Gencer and Gurpinar, 2007). The ANP was introduced by Saaty as a generalization of the AHP method (Saaty, 2004). In models such as the AHP and the HDM, it is assumed that decision elements are independent of each other and a model works in a one-way (top-down) hierarchy. The ANP, however, takes dependency and bidirectional movements in the model into account. It provides a general framework to manage decisions without making assumption about the independence of higher-level elements from lower level elements and about the independence of the elements within a level. The ANP has been used (but not limited to) in different fields such as supply chain management, supplier selection, operationalization of five forces model, SWOT analysis, environmental management, strategic analysis of logistics, product planning, and total quality management, (Meade and Sarkis, 1998; Chung, Lee and Pearn, 2005; Bayazit and Karpak, 2007; Gencer and Gurpinar, 2007; Yuksel and Dagdeviren, 2007; Promentilla et al., 2008; Lee, Kim and Park, 2012; Venugopalan et al., 2014).
Application of Analytical Network Process-Based BOCR Model on Green Supplier Selection Problem
Published in Eren Özceylan, Surendra M. Gupta, Sustainable Production and Logistics, 2021
Cihan Çetinkaya, Eren Özceylan, Büşra Baytur
The ANP method includes feedback and dependence between criteria. In ANP, all components of the problem and possible relationships are defined, and it is decided whether these are one-way or two-way. Subsequently, pairwise comparisons of all other components acting on one component are analyzed to determine their superiority in effect. Since two-way interactions are considered, the interaction of non-visible elements directly connected to each other within the entire system is considered. Therefore, the method allows feedback. The dependence between criterion sets is called external dependency and the dependence on the criterion’s own set is called internal dependency (Niemira and Saaty, 2004). Figure 14.1 shows the difference between the structure of AHP (a) and the structure of the ANP (b).
The use of the analytical hierarchy and network process for risk management
Published in Stephen O. Ogunlana, Prasanta Kumar Dey, Risk Management in Engineering and Construction, 2019
Jonathan Nixon, Prasanta Kumar Dey
This chapter has introduced, outlined and demonstrated the use of three alternative multi-criteria decision-making methods: the analytical hierarchy process (AHP), the analytical network process (ANP) and the hierarchical analytical network process (HANP). Whilst each approach has its own advantages and disadvantages, all three of these methods are powerful tools that can be used by decision makers to mitigate risk in project planning. The AHP is a relatively simple method that enables subjective and objective information to be evaluated and can capture all aspects of a decision problem. It is this flexibility that has resulted in the AHP becoming one of the most widely adopted decision support tools and it has far reaching applications and uses across a wide range of sectors and disciplines. The ANP is an extension of the AHP to enable dependencies among different criteria that relate to the decision problem to be modelled. The ANP increases modelling complexity, however, the additional layers of analysis enable decision problems to be further evaluated. The HANP combines the attributes of the AHP and the ANP to further improve the reliability of results by performing extra evaluations.
Challenges of implementing industry 4.0 in achieving sustainable development goals: a case of Indian manufacturing organization
Published in Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2023
Abhishek Sahu, Saurabh Agrawal, Girish Kumar
The selection of the implementation challenges of Industry 4.0 and CSC is dependent on the various criteria and sub-criteria. Several MCDM approaches, such as AHP, Delphi, DEMATEL, and Fuzzy TOPSIS are available to address such problems (Kumar, Singh, and Dwivedi 2020; Rajput and Singh 2019). If the parameters are independent, TOPSIS and AHP are used, which is not the case in the presented problem. When using the AHP approach, it is assumed that the criteria are independent of one another, which is not feasible in real-life applications. Similarly, ANP has some advantages and disadvantages. According to Saaty (1996), the ANP approach provides a hierarchical relation between criteria and sub-criteria and decision-making with feedback and dependence. A combination of ANP and Fuzzy TOPSIS multi-criteria approaches have been adopted for estimating the weights of the criteria and ranking of the alternatives, respectively. The following research path taken in this study is shown in Figure 1.
Coordination and collaboration for humanitarian operational excellence: big data and modern information processing systems
Published in Production Planning & Control, 2022
Pervaiz Akhtar, Victoria-Sophie Osburg, Gaurav Kabra, Subhan Ullah, Haseeb Shabbir, Sushma Kumari
The model shown in Figure 1 was first built through the literature and a series of discussions with practitioners, working in non-governmental humanitarian organisations (NGOs), which handle humanitarian healthcare and food operations. This implies that the framework for big data and modern information processing (BDMIP) systems could be considered by managers and practitioners in making a decision using a relative measurement model. In other words, healthcare and food handling organisations have the flexibility to apply this framework in choosing the best available options from a set of BDMIP systems. The applied ANP approach is suitable in modelling complex decision problems linked with criteria, sub-criteria and available alternatives. The ranking of alternatives (manual, semi-automated, fully automated BDMIP systems) do not only depend on the weighting of criteria, the given alternatives and interdependencies also influence them.
Comparative assessment of insulated concrete wall technologies and wood-frame walls in residential buildings: a multi-criteria analysis of hygrothermal performance, cost, and environmental footprints
Published in Advances in Building Energy Research, 2021
Farhad Amiri Fard, Ali Jafarpour, Fuzhan Nasiri
As observed from the literature, there is a growing interest towards applying the MCDM methods on analysing alternative materials and technologies in buildings design and construction. Overall, AHP and ANP methods were widely cited (Thomas L Saaty, 2008; Satty, 2004). AHP breaks down a decision-making problem to a hierarchy of criteria, sub-criteria and alternatives in a top-to-down approach. It only needs the pair-wise comparisons of elements in each level of hierarchy with respect to an element in the higher level in order to arrive at ranking of the alternatives. This provides the opportunity to integrate both qualitative (intangible and non-measurable) and quantitative (tangible and measurable) criteria in the decision-making (Sarkis & Sundarraj, 2006). ANP follows AHP approach, as proposed by Saaty in 1996 (Thomas L Saaty & Vargas, 2006), but takes into consideration dependencies among the criteria. In other words, ANP provides a systematic approach for decision-makers to deal with dependency and feedback among decision criteria as well as the incorporation of varied types of criteria. This makes ANP method a suitable approach in the assessment and comparison of wall technologies employed in residential buildings in Canada.