An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

Ortíz‐Barrios, Miguel; Felice, Fabio De; Negrete, Kevin Parra; Romero, Brandon Aleman; Arenas, Adriana Yaruro; Petrillo, Antonella

doi:10.1142/s021962201640006x

Cited by 71 publications

(40 citation statements)

References 29 publications

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“…This is more useful in experts who are not qualified in complex mathematics or the AHP technique. In addition, it has been proved that most the responders tend to use only five judgments (much less, less, equally, more, and much more) for assessing the importance of decision elements (Barrios et al, ; Meesariganda & Ishizaka, ; Pecchia et al, ; Wang, Qin, Li, & Chen, ) Step 2 “Establish the paired comparison matrix”: From the above information, a n × n paired comparison matrix is created. Here, n represents the number of criteria or subcriteria under assessment.…”

Section: Methodsmentioning

confidence: 99%

A case of food supply chain management with AHP, DEMATEL, and TOPSIS

Ortíz‐Barrios

Hoz

López‐Meza

et al. 2019

Multi Criteria Decision Anal

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The bullwhip effect leads to considerable inefficiencies along the food supply chain such as missed production schedules, poor customer service, excessive inventory, and misguided capacity plans. To tackle this problem, it is necessary, apart from other interventions, to continuously monitor the performance of food suppliers so that the demand information flow, order batching, transportation planning, and inventory management can be substantially improved. Therefore, supplier assessment has then become critical decision‐making support for identifying and addressing inefficiencies of food providers, which ends up reducing the variation of several key logistics parameters for upstream members of the food supply chain. In addition, such assessment is of multicriteria nature given the presence of several criteria from different domains and various food suppliers. With these considerations in mind, this paper proposes a hybrid approach integrating the analytic hierarchy process (AHP), decision‐making trial and evaluation laboratory (DEMATEL), and the technique for order of preference by similarity to ideal solution (TOPSIS) for evaluating the performance of pork suppliers. Thereby, the economic and operational burden caused by the bullwhip effect throughout the pork supply chain can be alleviated. AHP was first used to determine the criteria and subcriteria weights. Then DEMATEL was applied to assess the interdependence and feedback between the decision elements. Finally, TOPSIS was implemented to discriminate between high‐performance and low‐performance pork suppliers. A case study from the Colombian pork supply chain is presented to validate the proposed approach. The results of this study evidenced that the most important criterion was the “service level” and the most influencing factor was the “financial profile.” In addition, based on the supplier assessment results, improvement plans, and new negotiation, strategies were established for each supplier in order to diminish the bullwhip effect along the pork supply chain.

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Section: Methodsmentioning

confidence: 99%

A case of food supply chain management with AHP, DEMATEL, and TOPSIS

Ortíz‐Barrios

Hoz

López‐Meza

et al. 2019

Multi Criteria Decision Anal

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“…Below is the description of AHP algorithm: Perform paired comparison matrices for both the criteria and the subcriteria. For this real‐life application, a 3‐point scale has been used as previous works (Ortiz‐Barrios et al, ; Pecchia, Bath, Pendleton, & Bracale, ; Saaty, ; Saaty, ) because the group of unskilled respondents appears to be unclear about using the larger scale (9‐point scale), and inconsistencies may increase. In the 3‐point scale the value 1 is assumed as equally important , 3 as more important , and 5 as much more important .…”

Section: Methodsmentioning

confidence: 99%

The analytic decision‐making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model

Ortíz‐Barrios

Aleman‐Romero

Rebolledo‐Rudas³

et al. 2017

Multi Criteria Decision Anal

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In recent years, a series of important emergencies have been taken place worldwide in industrial plants. \ud After the occurrence of a disaster, it is essential to activate the correct emergency procedures. Particularly, it is important to direct people injured in hospitals able to handle emergencies. Thus, nowadays, the emergency services require a “transversal” process that starts from the disaster moment occurred until the involvement of all actors that participate in the process to provide integral, safe and quality attention. The aim of this study is to evaluate the overall performance of emergency departments in the hospital sector. A hybrid model called the “Analytic Decision Making Preference Model - ADT Model” based on AHP, DEMATEL and TOPSIS methods is proposed. AHP was been used to determine the criteria and sub-criteria weights. Then, DEMATEL is used to evaluate interdependence between criteria and sub-criteria. After this, TOPSIS is applied to rank the emergency departments from highest to lowest according to their closeness coefficient. A real case study in Colombia is presented

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“…Wan et al [17] presented a novel hybrid MCDM method with two-level criteria in an interval 2-tuple linguistic environment to find superior suppliers. A hybrid model with AHP and TOPSIS was presented to select the most appropriate tomography equipment [18]. Zhao [19] proposed a hybrid MCDM Method for sustainability to selected green supplier of thermal power equipment.…”

Section: Of 13mentioning

confidence: 99%

A Preference Model for Supplier Selection Based on Hesitant Fuzzy Sets

Zhou

Dou

Liao³

et al. 2018

Sustainability

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Abstract:The supplier selection problem is a widespread concern in the modern commercial economy. Ranking suppliers involves many factors and poses significant difficulties for decision makers. Supplier selection is a multi-criteria and multi-objective problem, which leads to decision makers forming their own preferences. In addition, there are both quantifiable and non-quantifiable attributes related to their preferences. To solve this problem, this paper presents a preference model based on hesitant fuzzy sets (HFS) to select suppliers. The cost and service quality of suppliers are the main considerations in the proposed model. HFS with interactive and multi-criteria decision making are used to evaluate the non-quantifiable attributes of service quality, which include competitive display, qualification ability, suitability and competitiveness of solutions, and relational fitness and dynamics. Finally, a numerical example of supplier selection for a high-end equipment manufacturer is provided to illustrate the applicability of the proposed model. The preferences of a decision maker are then analyzed by altering preference parameters.

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An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

Cited by 71 publications

References 29 publications

A case of food supply chain management with AHP, DEMATEL, and TOPSIS

A case of food supply chain management with AHP, DEMATEL, and TOPSIS

The analytic decision‐making preference model to evaluate the disaster readiness in emergency departments: The A.D.T. model

A Preference Model for Supplier Selection Based on Hesitant Fuzzy Sets

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