scholarly journals 3PL Service Provider Selection with a Goal Programming Model Supported with Multicriteria Decision Making Approaches

2020 ◽  
Vol 33 (2) ◽  
pp. 413-427
Author(s):  
Evrencan ÖZCAN ◽  
Merve AHISKALI
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Service Provider ◽  
Programming Model ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Goal Programming Model

scholarly journals Approaches for multicriteria decision-making based on the hesitant fuzzy best–worst method

2021 ◽  
Author(s):  
Jian Li ◽  
Li-li Niu ◽  
Qiongxia Chen ◽  
Zhong-xing Wang
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Programming Model ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Decision Making Models ◽  
Best Worst Method

AbstractHesitant fuzzy preference relations (HFPRs) have been widely applied in multicriteria decision-making (MCDM) for their ability to efficiently express hesitant information. To address the situation where HFPRs are necessary, this paper develops several decision-making models integrating HFPRs with the best worst method (BWM). First, consistency measures from the perspectives of additive/multiplicative consistent hesitant fuzzy best worst preference relations (HFBWPRs) are introduced. Second, several decision-making models are developed in view of the proposed additive/multiplicatively consistent HFBWPRs. The main characteristic of the constructed models is that they consider all the values included in the HFBWPRs and consider the same and different compromise limit constraints. Third, an absolute programming model is developed to obtain the decision-makers’ objective weights utilizing the information of optimal priority weight vectors and provides the calculation of decision-makers’ comprehensive weights. Finally, a framework of the MCDM procedure based on hesitant fuzzy BWM is introduced, and an illustrative example in conjunction with comparative analysis is provided to demonstrate the feasibility and efficiency of the proposed models.

Goal Programming for Decision Making in Closely Held Businesses

1979 ◽  
Vol 3 (4) ◽  
pp. 31-41 ◽  
Author(s):  
Sang M. Lee ◽  
Robert T. Justis ◽  
Lori Sharp Franz
Keyword(s):  
Decision Making ◽  
Small Business ◽  
Decision Maker ◽  
Goal Programming ◽  
Small Businesses ◽  
Fast Food ◽  
Programming Model ◽  
Multiple Goals ◽  
Business Decision ◽  
Goal Programming Model

There are few analytical and managerial tools available to assist the small business decision maker. This paper presents a practical goal Programming model which can be easily generalized to fit the planning needs of most small businesses. Specifically the model explicitly considers the multiple goals and priorities of the owner-manager and determines if these goals can be accomplished under various demand Projections. An illustrative example of the use of this model with a small fast-food business is given.

Sustainable CNT-enabled lithium-ion battery manufacturing: evaluating the tradeoffs

2016 ◽  
Vol 3 (6) ◽  
pp. 1447-1459 ◽  
Author(s):  
Serkan Erbis ◽  
Sagar Kamarthi ◽  
Amir Abdollahi Namin ◽  
Ali Hakimian ◽  
Jacqueline A. Isaacs
Keyword(s):  
Economic Growth ◽  
Decision Making ◽  
Lithium Ion Battery ◽  
Human Health ◽  
Goal Programming ◽  
Programming Model ◽  
Lithium Ion ◽  
Goal Programming Model ◽  
Stochastic Goal Programming ◽  
Aid Decision

A stochastic goal programming model is developed to aid decision making for CNT-enabled lithium-ion battery manufacturing production and capacity expansion, by considering the balance among economic growth, environmental and human health protection, and sustainability.

scholarly journals A A RESOURCE ALLOCATION PROBLEM IN HIGHER EDUCATION WITH INTEGRATED MULTICRITERIA DECISION MAKING

Sepren ◽  
2020 ◽  
Vol 1 (02) ◽  
pp. 34-45
Author(s):  
Dame Ifa Sihombing ◽  
Lamtiur Sinambela ◽  
Labuan Nababan
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Resource Allocation ◽  
Goal Programming ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Priority Ranking ◽  
Education Resource ◽  
Gp Model

This paper  analyzes forms of resource allocation problems in higher education. Resource allocation is one of the major decision problems arising in higher education. Resources must be allocated optimally is such a way that performance of universities can be improved. It combines two of the most extended multicriteria decision making techniques: the Analytic Hierarchy Process (AHP) and Goal Programming (GP). The AHP approach is used in evaluation all criteria such as qualitative and quantitative factors. Then the Goal Programming (GP) model incorporating the constraints to select the best set of all goals without exceeding the limited avalaible resources. In this paper two commercial packages are used : Expert Choice for determining the AHP priority ranking of the projects, and LINGO 17 for solving the GP model.

scholarly journals Binary goal programming model for optimizing tire selection using branch and bound algorithm

2021 ◽  
Vol 12 ◽  
pp. 8
Author(s):  
Shady Aly
Keyword(s):  
Decision Making ◽  
Branch And Bound ◽  
Goal Programming ◽  
Programming Model ◽  
Operating Conditions ◽  
Branch And Bound Algorithm ◽  
Adoption Decision ◽  
Proposed Model ◽  
Goal Programming Model ◽  
Design Selection

The problem of assessment and adoption of automotive tyre design specifications has not been addressed sufficiently in literature. This is in spite of its significance as a crucial component relevant to design and safety of the automobile. In this paper, a multi-objective optimization model of the tyre design trademark adoption decision is proposed. Multi-attribute or multi-criterion decision making techniques are heuristics providing good solution, but do not guarantee optimum solution. Up to date, there is no optimal yielding method for selection of vehicle tyre manufacturer or trademark based on prespecified design targets. The proposed model is formulated as a binary goal programming model for optimizing tyre trademark design selection decision by adopting an optimal tyre design trademark that best achieve design targets. The model is solved by the branch and bound algorithm. One advantage of the proposed model is flexibility to incorporate multiple design targets, tolerance limits and different constraints. The proposed model can support efficient and effective decision making concerning the adoption of tyre trademark design for new automobile or to re-adopt new design for new road vehicle operating conditions.

scholarly journals A New Dynamic Multicriteria Decision-Making Approach for Green Supplier Selection in Construction Projects under Time Sequence

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Shi Yin ◽  
Baizhou Li ◽  
Hengmin Dong ◽  
Zeyu Xing
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Construction Projects ◽  
Programming Model ◽  
Comprehensive Evaluation ◽  
Multicriteria Decision Making ◽  
Green Building ◽  
Time Sequence ◽  
Multicriteria Decision ◽  
Green Supplier Selection

Nowadays, due to the lack of natural resources and environment problems which have been appearing increasingly, green building is more and more involved in the construction industry. The evaluation and selection of green supplier are a significant part of the development of green building. In this paper, we propose a new dynamic multicriteria decision-making approach in construction projects under time sequence to deal with these problems. First, the paper establishes 4 main criteria and 17 subcriteria for green supplier selection in construction projects. Then, a method considering interaction between criteria and the influence of constructors subjective preference and objective criteria information is proposed. It uses the interval-valued intuitionistic fuzzy geometric weighted Heronian means (IVIFGWHM) operator and multitarget nonlinear programming model to calculate the comprehensive evaluation results of potential green suppliers. The proposed method is much easier for constructors to select green supplier and make the localization of green supplier more practical and accurate in construction projects. Finally, a case study about a green building project is given to verify practicality and effectiveness of the proposed approach.

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