A group decision making support system in logistics and supply chain management

Abstract

The paper proposes a decision support system for selecting logistics providers based on the quality function deployment (QFD) and the technique for order preference by the similarity to ideal solution (TOPSIS) for agricultural supply chain in France. The research provides a platform for group decision making to facilitate decision process and check the consistency of the outcomes. Methodology: The proposed model looks at the decision problem from two points of view considering both technical and customer perspectives. The main customer criteria are confidence in a safe and durable product, emission of pollutants and hazardous materials, social responsibility, etc. The main technical factors are financial stability, quality, delivery condition, services, etc. based on the literature review. The second stage in the adopted methodology is the combination of quality function deployment and the technique for order preference by similarity to ideal solution to effectively analyze the decision problem. In final section we structure a group decision system called GRoUp System (GRUS) which has been developed by Institut de Recherche en Informatique de Toulouse (IRIT) in the Toulouse University. Results: This paper designs a group decision making system to interface decision makers and customer values in order to aid agricultural partners and investors in the selection of third party logistic providers. Moreover, we have figured out a decision support system under fuzzy linguistic variables is able to assist agricultural parties in uncertain situations. This integrated and efficient decision support system enhances quality and reliability of the decision making. Novelty/Originality: The novelty of this paper is reflected by several items. The integration of group multicriteria decision tools enables decision makers to obtain a comprehensive understanding of customer needs and technical requirements of the logistic process. In addition, this investigation is carried out under a European commission project called Risk and Uncertain Conditions for Agriculture Production Systems (RUC-APS) which models risk reduction and elimination from the agricultural supply chain. Ultimately, we have implemented the decision support tool to select the best logistic provider among France logistics and transportation companies.

Implementation of a Flexible Manufacturing System in a production cell of the automotive industry: decision and choice

“…As the criteria may vary and their importance is subjective, depending on the perception of decision-makers on the impact on the strategic drivers, the choice of the technology for an FMS can be considered a semi-structured problem. Such type of problem requires a structured approach to support decision makers (Yazdani et al, 2017). Therefore, we applied a multicriteria method to support the decision.…”

Choosing the Most Economically Advantageous Solution to the Decision of the Issue

“…It should be noted that taking decisions by referring to the most economically efficient and rational dispute resolution method is a sufficiently complex process, and only rarely can be assessed by a single common indicator, because in reality a single absolutely right solution does not exist. The problem has been addressed in their papers of a number of authors (Harford, Kecskes, & Mansi, 2017;Ikeda, Inoue, & Watanabe, 2017;Bumblauskas, Gemmill, Igou, & Anzengruber, 2017;Yazdani, Zarate, Coulibaly, & Zavadskas, 2017;Rezaei, 2018). Since selecting a dispute resolution method we most often encounter a number of criteria, that should be taken into account, a possibly successful option could be a successive discount method.…”

Combined Use of Mathematical Optimization and Design of Experiments for the Maximization of Profit in a Four‐Echelon Supply Chain

“…Equation (17) determines the process capability index (Cp) for each supplier. Equation (19) calculates the low Cpk of the supplied material. Equation (20) determines the actual process capability index (Cpk) for each supplier.…”

“…In the literature, supply chain management and quality have been approached upon different perspectives, such as product quality and service quality [9][10][11][12][13], reprocessing and reworking in inventory models [14], quality costs [15], quality as a strategy [16][17][18], selection of suppliers [19], and the integration of capability indexes for the evaluation of products and performance of organizations [20][21][22][23][24][25].…”