scholarly journals A Multicriteria Decision Model for Supplier Selection in a Food Industry Based on FITradeoff Method

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Eduarda Asfora Frej ◽  
Lucia Reis Peixoto Roselli ◽  
Jônatas Araújo de Almeida ◽  
Adiel Teixeira de Almeida
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Food Industry ◽  
Decision Model ◽  
Partial Information ◽  
Decision Making Process ◽  
Final Solution ◽  
Structured Decision Making ◽  
Supplier Selection Problem ◽  
Selection Of

This article puts forward a decision model for solving a supplier selection problem in a food industry by considering multiple objectives that influence the decision-making process. In times of increasing competitiveness, companies strive hard to improve their profitability, and selection of supply sources may help if an appropriate decision is made through a well-structured decision-making process. Preference modeling is conducted in a flexible and interactive elicitation manner with the decision-maker (DM), aided by FITradeoff method. Partial information is gathered about the DM’s preferences in such a way that less effort is spent on finding a final solution for the problem.

scholarly journals COGNITIVE MAPS AND AHP FOR SUPPLIER SELECTION IN A PRIVATE HIGHER EDUCATION INSTITUTION

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Ana Lucia Pegetti ◽  
Jesse D´Assunção Rebello De Souza Jr
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Supplier Selection ◽  
Business Processes ◽  
Cognitive Maps ◽  
Education Institution ◽  
Private Higher Education ◽  
Decision Making Process ◽  
Administrative Practices ◽  
Selection Of

Supplier selection is a key decision in the procurement and purchasing processes. Both the choice of criteria and the evaluation of possible alternatives are critical steps in this decision-making process. One of the great challenges of private higher education institutions (PHEI) in Brazil in recent decades has been the attempt to institutionalize administrative practices applied in the business market. The primary goal of this is to optimize their business processes and achieve reduced risks and operational costs, thereby increasing their productivity and the quality of services. These initiatives aim to maintain self-sustaining and competitive institutions in an aggressive market that is constantly expanding. Therefore, a critical and professionalized look at their business processes has been one of the solutions for the PHEI to achieve their organizational goals. In this context, this paper proposes to formalize the decision-making process for the selection of suppliers through their systematization using cognitive maps to structure and identify the criteria that effectively present value during the partner selection of the decision-maker's procurement and purchasing department. The paper also proposes the subsequent prioritization of these criteria for evaluation and selection of potential suppliers by using the AHP multi-criteria method.

scholarly journals COMPARISON OF THREE FUZZY MCDM METHODS FOR SOLVING THE SUPPLIER SELECTION PROBLEM

2019 ◽  
Vol 17 (3) ◽  
pp. 455 ◽  
Author(s):  
Goran Petrović ◽  
Jelena Mihajlović ◽  
Žarko Ćojbašić ◽  
Miloš Madić ◽  
Dragan Marinković
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Selection Problem ◽  
Management Decision ◽  
Chain Management ◽  
Wide Range ◽  
Supplier Selection Problem ◽  
Selection Of

The evaluation and selection of an optimal, efficient and reliable supplier is becoming more and more important for companies in today’s logistics and supply chain management. Decision-making in the supplier selection domain, as an essential component of the supply chain management, is a complex process since a wide range of diverse criteria, stakeholders and possible solutions are embedded into this process. This paper shows a fuzzy approach in multi – criteria decision-making (MCDM) process. Criteria weights have been determined by fuzzy SWARA (Step-wise Weight Assessment Ratio Analysis) method. Chosen methods, fuzzy TOPSIS (Technique for the Order Preference by Similarity to Ideal Solution), fuzzy WASPAS (Weighted Aggregated Sum Product Assessment) and fuzzy ARAS (Additive Ratio Assessment) have been used for evaluation and selection of suppliers in the case of procurement of THK Linear motion guide components by the group of specialists in the “Lagerton” company in Serbia. Finally, results obtained using different MCDM approaches were compared in order to help managers to identify appropriate method for supplier selection problem solving.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

Who determines the final version? The roles of translators, language revisers and editors in the publishing of a literary translation

2021 ◽  
Vol 22 (1) ◽  
pp. 14-44
Author(s):  
Marija Zlatnar Moe ◽  
Tamara Mikolič Južnič ◽  
Tanja Žigon
Keyword(s):  
Decision Making ◽  
Conflict Resolution ◽  
Literary Translation ◽  
Central Position ◽  
Decision Making Process ◽  
Translation Process ◽  
Revision Process ◽  
Final Version ◽  
Comparison Of The Results ◽  
Selection Of

AbstractThe article explores the interaction among three key figures in the process of publication of a literary translation into a language of low diffusion: the translator, the editor and the language reviser (the latter specific to the Slovene situation). The aim of the research is to identify who has the strongest position of power in the decision-making process of the production of a literary translation, especially when conflict arises. Information was gathered from the three groups with questionnaires, interviews and an analysis of public statements. The questions focused on the selection of the translator and language reviser, the translation process, the revision process and conflict resolution. A cross-comparison of the results indicates that despite the automatic central position of the editors, they tend to yield their decision-making power to translators, while language revisers have a more subservient, consulting role.

Sustainable circular supplier selection and evaluation in the manufacturing sector using Pythagorean fuzzy EDAS approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Liu ◽  
Pratibha Rani ◽  
Khushboo Pachori
Keyword(s):  
Decision Making ◽  
Human Behavior ◽  
Circular Economy ◽  
Supplier Selection ◽  
Manufacturing Sector ◽  
Uncertain Information ◽  
Manufacturing Companies ◽  
Content Type ◽  
Sustainable Supplier Selection ◽  
Selection Of

PurposeDue to stern management policies and increased community attentiveness, sustainable supply chain management (SSCM) performs a vast component in endeavor operation and production management. Sustainable circular supplier selection (SCSS) and evaluation presented the environmental and social concerns in the fields of circular economy and sustainable supplier selection. Choosing the optimal SCSS is vital for organizations to persuade SSCM, as specified in various researches. Based on the subjectivity of human behavior, the selection of ideal SCSS often involves uncertain information, and the Pythagorean fuzzy sets (PFSs) have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the multi-criteria decision-making (MCDM) procedure. Here, a framework is developed to assess and establish suitable suppliers in the SSCM and the circular economy.Design/methodology/approachThis paper introduced an extended framework using the evaluation based on distance from average solution (EDAS) with PFSs and implemented it to solve the SCSS in the manufacturing sector. Firstly, the PFSs to handle the uncertain information of decision experts (DEs) is employed. Secondly, a novel divergence measure and parametric score function for calculating the criteria weights are proposed. Thirdly, an extended decision-making approach, known as PF-EDAS, is introduced.FindingsThe outcomes and comparative discussion show that the developed method is efficient and capable of facilitating the DEs to choose desirable SCSS. Therefore, the proposed framework can be used by organizations to assess and establish suitable suppliers in the SCSS process in the circular economy.Originality/valueSelecting the optimal sustainable circular supplier (SCS) in the manufacturing sector is important for organizations to persuade SSCM, as specified in various research. However, corresponding to the subjectivity of human behavior, the selection of the best SCS often involves uncertain information, and the PFSs have a huge capability to tackle strong vagueness, uncertainty and inaccuracy in the MCDM procedure. Hence, manufacturing companies' administrators can implement the developed method to assess and establish suitable suppliers in the SCSS process in the circular economy.

scholarly journals Modelling Decision Making under Uncertainty for Strategic Forecasting

2019 ◽  
Vol 8 (3) ◽  
pp. 7251-7255
Keyword(s):  
Decision Making ◽  
Economic Activity ◽  
Detrimental Effect ◽  
Decision Making Under Uncertainty ◽  
Decision Making Process ◽  
Insufficient Information ◽  
High Quality ◽  
Decision Making System ◽  
Specific Management ◽  
Selection Of

In current market conditions, the key to productive economic activity is the ability to provide a high-quality forecast, even in situations of insufficient information. Strategic forecasting refers to this type of activity, errors in which the actions of any company can have a detrimental effect on the fundamental level. The justification and selection of specific management decisions can often be carried out in conditions of uncertainty due to the inability to clearly predict the values of the final results of these decisions. The decision-making system within the framework of the strategic forecasting task should help maintain the effectiveness of actions by simplifying the picture of the real world by modelling it. While allowing to reduce the influence of the subjectivity of the personality of the decision-maker on the decision-making process itself

Sign in / Sign up

Export Citation Format

Share Document