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.

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.

The Stochastic Goal Programming Model: Theory and Applications

2012 ◽  
Vol 19 (5-6) ◽  
pp. 185-200 ◽  
Author(s):  
Belaid Aouni ◽  
Fouad Ben Abdelaziz ◽  
Davide La Torre
Keyword(s):  
Goal Programming ◽  
Model Theory ◽  
Programming Model ◽  
Goal Programming Model ◽  
Stochastic Goal Programming

Planning sustainable development through a scenario-based stochastic goal programming model

2016 ◽  
Vol 17 (3) ◽  
pp. 789-805 ◽  
Author(s):  
Raja Jayaraman ◽  
Cinzia Colapinto ◽  
Danilo Liuzzi ◽  
Davide La Torre
Keyword(s):  
Sustainable Development ◽  
Goal Programming ◽  
Programming Model ◽  
Goal Programming Model ◽  
Stochastic Goal Programming

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.

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