APAKAH ANDA?........

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Apakah Anda merasa kesulitan dalam membuat Skripsi, Tesis, Disertasi, PTK, atau Karya Tulis Ilmiah. Sudah berapa banyak biaya dan waktu yang dikeluarkan?
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ANALYTIC NETWORK PROCESS: AHP for Game Theoretic Decision Making. E19 ANP

Summary: Hierarchical decomposition is applied to the payoff matrix of a 2-player zero-sum noncooperative game. Relationship between the strategy vector of the integrated payoff matrix and the strategy vector of each decomposed payoff matrix is studied. For the case of 2×2 zero-sum noncooperative game with purely mixed strategies, a simple formula which relates the strategy vector of the integrated payoff matrix and the strategy vector of each decomposed payoff matrix is established; the strategy vector of the integrated payoff matrix is obtained as a weighted combination of the strategy vector of each decomposed payoff matrix with the weight considering both the priority weight of each decomposed payoff matrix (or payoff matrix for each criterion) and
the magnitude of each decomposed payoff matrix. The higher layer integrated game corresponds to the strategic decision making and the lower layer decomposed games correspond to the tactical decision making.

Keywords: zero-sum game, payoff matrix, decomposition, strategy, tactics

ANALYTIC NETWORK PROCESS:The Analytic Hierarchy Process and Expert Choice. E18 AHP

The analytic hierarchy process (AHP), developed at the Wharton School of Business by Thomas Saaty1, allows decision makers to model a complex problem in a hierarchical structure showing the relationships of the goal, objectives (criteria), sub-objectives, and alternatives.

AHP allows for the application of data, experience, insight, and intuition in a logical and thorough way. AHP enables decision-makers to derive ratio scale priorities or weights as opposed to arbitrarily assigning them. In so doing, AHP not only supports decision-makers by enabling them to structure complexity and exercise judgment, but allows them to incorporate both objective and subjective considerations in the decision process2. AHP is a compensatory decision methodology because alternatives that are deficient with respect to one or more objectives can compensate by their performance with respect to other objectives. AHP is composed of several previously existing but unassociated concepts and techniques such as hierarchical structuring of complexity, pairwise comparisons, redundant judgments, an eigenvector3 method for deriving weights, and consistency considerations.Although each of these concepts and techniques were useful in and of themselves, Saaty’s synergistic combination of the concepts and techniques (along with some new developments) produced a process whose power is indeed far more than the sum of its parts.

ANALYTIC NETWORK PROCESS: U.S. Coast Guard Resource Allocation for Leased Office Construction Projects. E17 AHP

This report outlines which projects the U.S. Coast Guard (USCG) plans to fund to provide a new work environment at the Jemal Riverside office location in Washington D.C. The analysis in this report will focus on USCG’s current situation, the proposed projects or alternatives to be funded, and the objectives that will meet USCG’s overall goal. The final decision maker for project funding will be the Commanding Officer of the USCG Headquarters Support Command. Scott Crawley and Anoop Bhatia will be providing the analysis to the Commanding Officer by using the Analytic Hierarchy Process (AHP) and the Expert Choice Software

ANALYTIC NETWORK PROCESS: Uncertainties in the Analytic Hierarchy Process . E16 AHP

When  choosing  a  decision  analysis  technique  to  model  a  particular  complex  decision  the  fundamentals of the technique chosen should be understood by the analyst, and they should  be  appropriate  for  the  characteristics  of  the  problem  itself.  For  analysing  such  complex  decisions the Analytic Hierarchy Process is one of the most commonly used techniques.  This  technical  note  highlights  a  number  of  theoretical  issues,  some  well-known  and  others  less  well-known,  that  introduce  a  considerable  degree  of  uncertainty  into  the  computed  output  priorities for the decision alternatives.

ANALYTIC NETWORK PROCESS Prioritization of key performance indicators An integration of analytical hierarchy process and goal setting. E15 AHP

Purpose – The purpose of this paper is to provide an integrated approach that prioritizes organizational key performance indicators (KPIs) in terms of the criteria of SMART (Specific, Measurable, Attainable, Realistic, Time-sensitive) goal setting. Design/methodology/approach – The research was carried out using the analytical hierarchy process (AHP) technique as the basis for pairwise comparisons of SMART criteria, considering each KPI.

Findings – A new approach is outlined, encompassing step-by-step guidelines for decision makers to conduct the prioritization process of SMART KPIs. The results of the case study highlight the applicability of the proposed approach and the calculation process for prioritizing KPIs. 

Research limitations/implications – The rating scales used in the AHP analysis are conceptual; although it identifies which dimensions require improvement, the proposed approach does not provide guidance on an appropriate action plan to address deficiencies; another limitation is that the framework adopted only the SERVQUAL service dimensions. 

Originality/value – This paper gives a novel approach for prioritization of KPIs. The proposed approach has a holistic mechanism; it could empower decision-making teams; it is capable of enhancing advanced quality engineering approaches; and provides great opportunities for future research.

Keywords Analytical hierarchy process, Performance measures, Integration
Paper type Research paper

ANALYTIC NETWORK PROCESS: The Analytic Network Process Thomas L. Saaty. E14 ANP

The Analytic Network Process (ANP) is a generalization of the Analytic Hierarchy Process (AHP). The basic structure is an influence network of clusters and nodes contained within the clusters. Priorities are established in the same way they are in the AHP using pairwise comparisons and judgment. Many decision problems cannot be structured hierarchically because they involve the interaction and dependence of higher-level elements in a hierarchy on lower-level elements. Not only does the importance of the criteria determine the importance of the
alternatives as in a hierarchy, but also the importance of the alternatives themselves determines the importance of the criteria. Feedback enables us to factor the future into the present to determine what we have to do to attain a
desired future. To illustrate ANP, one example is also presented.

Key Words: ANP; AHP; Network; Feedback structure

 
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