A preliminary study on the potential use of the analytical hierarchical process (AHP) to predict advanced manufacturing technology (AMT) implementation

Yusuff, Rosnah Mohd; Yee, Kok Poh; Hashmi, M.S.J.

doi:10.1016/s0736-5845(01)00016-3

Cited by 83 publications

(35 citation statements)

References 12 publications

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“…This method has the ability to structure complex, multi-person, multiattribute, and multi-period problem hierarchically (Yusuff, PohYee & Hashmi, 2001). The AHP can be very useful in involving several decision-makers with different conflicting objectives to arrive at a consensus decision (Tam & Tummala, 2001).…”

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confidence: 99%

AHP approach for supplier evaluation and selection in a steel manufacturing company

Tahriri

Osman

Ali

et al. 2008

JIEM

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Supplier selection is one of the most critical activities of purchasing management in supply chain. Supplier selection is a complex problem involving qualitative and quantitative multi-criteria. A trade-off between these tangible and intangible factors is essential in selecting the best supplier. The work incorporates AHP in choosing the best suppliers. The results suggest that AHP process makes it possible to introduce the optimum order quantities among the selected suppliers so that the Total Value of Purchasing (TVP) becomes maximum. In this work, an AHP-based supplier selection model is formulated and then applied to a real case study for a steel manufacturing company in Malaysia. The use of the proposed model indicates that it can be applied to improve and assist decision making to resolve the supplier selection problem in choosing the optimal supplier combination. The work represents the systematic identification of the important criteria for supplier selection process. In addition, the results exhibit the application of development of a multi-criteria decision model for evaluation and selection of suppliers with proposed AHP model, which by scoring the performance of suppliers is able to reduce the time taken to select a vendor.

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confidence: 99%

AHP approach for supplier evaluation and selection in a steel manufacturing company

Tahriri

Osman

Ali

et al. 2008

JIEM

Self Cite

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“…Pairwise comparisons of the element (usually, alternatives and attributes) can be established using a scale indicating the strength with which one element dominates another with respect to a higher-level element. This scaling process can then be translated into priority weights-scores (Yusuff et al, 2001). …”

Section: Methodsmentioning

confidence: 99%

Criteria Determining Optimal Portfolio Selection: A Case Study

Mιhail¹,

Alina²,

Gikas³

2013

American Journal of Economics and Business Administration

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The paper examines the evaluation of the significance of the criteria that influence two groups of investors, who reside in different areas of Greece, in selecting their investments: (a) Investors from a metropolitan city (Athens) and (b) investors from regional Greece (Peloponnese). The study is grounded in the current and potential criteria and sub-criteria influencing investors in selecting financial investment products. The methodology applied in order to satisfy the research aims is the Analytic Hierarchy Process (AHP). The quantitative research analysis is based on a sample of data collected via a questionnaire answered by a sample of key experts: Specifically, bank executives specialized in financial investment products. The general conclusions stemming from the comparative study are: Metropolitan city Investors (MIs) are more experienced, more dispassionate, more patient and conservative than the Regional Investors. Furthermore, the MIs are more tolerant, provident and informed. The Regional Investors (RIs) can be perceived as more enthusiastic and interested in taking risks than the MIs, but they also appear to feel less secure when it comes to investing. Future research should address larger number of participants from other metropolitan cities and regions and, eventually, from other countries.

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“…4), based on a GISsupported raster dataset: breaking down the complex problem into sub-indices; selection of the significant indicators; standardization of indicators to a range of 0-1; comparing indicators and sub-indices pair-wise using a hierarchical structure termed "criteria tree" and expressing preference for each pair, calculating a composite index map (Vargas, 1990;Howard, 1991;Keeney, 1992;Yusuff et al, 2001;Keefer et al, 2004;Chen et al, 2008). The use of weights facilitated the combination of indicators and indices into composite index maps, where the performance indices use the formula…”

Section: Index Design: Sovi Versus Sevi Modelmentioning

confidence: 99%

Social vulnerability assessment using spatial multi-criteria analysis (SEVI model) and the Social Vulnerability Index (SoVI model) – a case study for Bucharest, Romania

Armaş

Gavriş

2013

Nat. Hazards Earth Syst. Sci.

142

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Abstract. In recent decades, the development of vulnerability frameworks has enlarged the research in the natural hazards field. Despite progress in developing the vulnerability studies, there is more to investigate regarding the quantitative approach and clarification of the conceptual explanation of the social component. At the same time, some disaster-prone areas register limited attention. Among these, Romania's capital city, Bucharest, is the most earthquake-prone capital in Europe and the tenth in the world. The location is used to assess two multi-criteria methods for aggregating complex indicators: the social vulnerability index (SoVI model) and the spatial multi-criteria social vulnerability index (SEVI model). Using the data of the 2002 census we reduce the indicators through a factor analytical approach to create the indices and examine if they bear any resemblance to the known vulnerability of Bucharest city through an exploratory spatial data analysis (ESDA). This is a critical issue that may provide better understanding of the social vulnerability in the city and appropriate information for authorities and stakeholders to consider in their decision making. The study emphasizes that social vulnerability is an urban process that increased in a post-communist Bucharest, raising the concern that the population at risk lacks the capacity to cope with disasters. The assessment of the indices indicates a significant and similar clustering pattern of the census administrative units, with an overlap between the clustering areas affected by high social vulnerability. Our proposed SEVI model suggests adjustment sensitivity, useful in the expert-opinion accuracy.

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A preliminary study on the potential use of the analytical hierarchical process (AHP) to predict advanced manufacturing technology (AMT) implementation

Cited by 83 publications

References 12 publications

AHP approach for supplier evaluation and selection in a steel manufacturing company

AHP approach for supplier evaluation and selection in a steel manufacturing company

Criteria Determining Optimal Portfolio Selection: A Case Study

Social vulnerability assessment using spatial multi-criteria analysis (SEVI model) and the Social Vulnerability Index (SoVI model) – a case study for Bucharest, Romania

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