Automated Reasoning for Supplier Performance Appraisal in Supply Chains

Sepúlveda, Juan M.; Dérpich, Iván

doi:10.1016/j.procs.2014.05.349

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…This is done to eliminate the position of the matrices which are measured as a whole into a binary number between 0 or 1. The search for the matrices concordance threshold can be done using (13) and the search for the matrices discordance threshold can be done using (14). These two equations will give binary results on both concordance matrices and discordance matrices into decisions that are still partial and to combine them using (15) as the final decision in the alternative selection process.…”

Section: Electrementioning

confidence: 99%

“…Furthermore, the criteria used are contradictory between one criterion and another. This means that the understanding of the use of criteria has the opposite meaning, so a slightly different normalization technique is needed as usual [14]. Understanding contradictory criteria provides two meanings of understanding, first there is a criterion that has an understanding of the smallest value is the best and the second understanding is that the largest value is the best.…”

Section: Introductionmentioning

confidence: 99%

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MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

Akmaludin,

Samudi,

Baidawi

et al. 2024

Bulletin EEI

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Vendor selection techniques are very important to maintain supply chain services, optimal service creates strong consistency in maintaining the continuity of supply chain business processes. The aim of this research is to provide an objective and consistent understanding of the best techniques in vendor selection which are implemented openly through the collaboration of multi-criteria decision making-analytic hierarchy process (MCDM-AHP) and ELECTRE. Empirical studies show how this approach is able to provide optimal decision-making support for the vendor selection process. Eight criteria are required which have contradictory meanings in their apps. These criteria include quality of goods (QG), payment methods (PMs), payment terms (PTs), minimum transactions (MTs), discounts (DS), delivery times (DTs), inventory (IN), and service (SV). The comparison importance value of the criteria is used as a measure of weighting the criteria through two testing approaches, namely mathematical algebra matrices and expert choice apps, through accurately assessing the optimal eigenvector from the two test approaches. Decision making support was carried out by comparison using 342 preference matrices which were developed into concordance and discordance matrices, the elimination process with threshold matrices found that the ranking results of four vendors were ranked first as worthy of being a selection priority and fifteen other vendors were ranked below.

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Section: Electrementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

Akmaludin,

Samudi,

Baidawi

et al. 2024

Bulletin EEI

View full text Add to dashboard Cite

show abstract

“…FlowSort (Nemery & Lamboray, 2008), es un método de clasificación multicriterio basado en la metodología PROMETHEE (Preference Ranking Organization Method for Enriched Evaluation), (Brans & Vincke, 1985), que asigna alternativas en categorías predefinidas y completamente ordenadas (Pelissari et al, 2019). Su utilización incluye una amplia cantidad de importantes actividades tales como: la evaluación de agilidad de respuesta por parte de hospitales en manejo de desastres (Moheimani et al, 2021); evaluación de capacidades de innovación y exportación de pequeñas y medianas empresas (Enjolras, Camargo & Schmitt, 2020); la asignación de alternativas en clusters individuales o de intervalo (Sarrazin, De Smet & Rosenfeld, 2018); la priorización de los factores causantes de fallas en la planificación de recursos empresariales (Rahmanimanesh et al, 2017) y la evaluación de cadenas de suministro (Sepúlveda & Derpich, 2014). Hasta ahora, no se sabe que en la literatura del tema se reporten aplicaciones del método en la clasificación de colores en protocolos de semáforo.…”

Section: El Método Flowsortunclassified

Untitled

2021

Revista Universitaria Digital De Ciencias Sociales (RUDICS)

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“…In the proposed models, the goal was to minimize the annual order quantity and keep inventory and purchase costs under the quality and capacity constraints of the supplier. Sepúlveda and Ivan [16] provided automated performance reasoning for the assessment of supplier performance in a supply chain and used the fuzzy process for supplier ranking. They considered three criteria including economy, service, and quality.…”

Section: Literature Reviewmentioning

confidence: 99%

Solving multi-objective supplier selection and quota allocation problem under disruption using a scenario-based approach

Gargari

Seifbarghy

2020

Eng. rev. (Online)

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Nowadays, experts believe there are abundant sources of risks in a supply chain. An important group of risks against a supply chain is the disruption risks group, which disturbs the flow of material in the chain and may lead to inefficiency in providing the final product in the supply chain. The aim of this article is to investigate the control of costs of disruption in a supply chain by considering the possibility of disruption. In fact, this research focuses on determining the best combination of suppliers and quota allocation with regards to disruption in suppliers. The proposed multi-objective mathematical model in this paper is a mixed-integer programming (MIP) model with objective functions to minimize transaction costs of suppliers, expected costs of purchasing goods, expected percentages of delayed products, expected returned products, and to maximize expected evaluation scores of the selected suppliers. Due to the uncertainty of demand and supplier disruption in the real world, their values are also considered uncertain; the proposed multi-objective model is studied by using a scenario-based stochastic programming (SP) method. In this method, all possible predictions for demand and disruption values are simultaneously included in the model; objective function results have more optimal value than a separate solution of the model for each predicted value.

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Automated Reasoning for Supplier Performance Appraisal in Supply Chains

Cited by 7 publications

References 4 publications

MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

MCDM-AHP and ELECTRE collaboration apps for the best vendor selection technique

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Solving multi-objective supplier selection and quota allocation problem under disruption using a scenario-based approach

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