A cardinality constrained stochastic goal programming model with satisfaction functions for venture capital investment decision making

2012 ◽  
Vol 205 (1) ◽  
pp. 77-88 ◽  
Author(s):  
Belaïd Aouni ◽  
Cinzia Colapinto ◽  
Davide La Torre
2016 ◽  
Vol 3 (6) ◽  
pp. 1447-1459 ◽  
Author(s):  
Serkan Erbis ◽  
Sagar Kamarthi ◽  
Amir Abdollahi Namin ◽  
Ali Hakimian ◽  
Jacqueline A. Isaacs

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.


1979 ◽  
Vol 3 (4) ◽  
pp. 31-41 ◽  
Author(s):  
Sang M. Lee ◽  
Robert T. Justis ◽  
Lori Sharp Franz

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.


1998 ◽  
Vol 13 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Joan Ballantine ◽  
Stephanie Stray

This paper explores the techniques used by organizations to appraise Information Systems (IS)/Information Technology (IT) investments, and concentrates, in particular, on techniques of capital investment appraisal. We draw on relevant studies reported in both the accounting and finance, and the IS literature, which have addressed their usage. Where possible comparisons are drawn between both sets of literatures. The results of a survey that specifically examined IS/IT investment appraisal practices of a sample of UK companies is also presented. Among the issues discussed include the extent to which capital investment appraisal techniques are used to appraisal investments, the importance of the techniques used and the problems attendant on the decision making process.


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