scholarly journals Financing Capacity Investment Under Demand Uncertainty

Author(s):  
Francis deVericourt ◽  
Denis Gromb
2016 ◽  
Vol 17 (1) ◽  
pp. 140-155 ◽  
Author(s):  
Mohammad Ali KASHEFI

This paper examines the effect of salvage market on technology choice and capacity investment decision of two firms that compete on quantity under demand uncertainty. A game theoretic model applies such that firms choose their production technology between two alternatives: flexible versus inflexible production process. Then they decide on the amount of capacity investment: flexible firm makes decision about general and specific components and inflexible firm just about unified component. One stage forward both enter the primary market in which demand is uncertain and play a la Cournot and finally, flexible firm will be able to sell its unsold general components in the secondary market with a deterministic price. Numerical study was employed to observe equilibrium behavior of firms. Findings demonstrate that with symmetric parameterization there is a unique Nash equilibrium in which both firms choose inflexible technology while applying asymmetric parameters has the potential to form two types of equilibrium when both firms choose inflexible technology or only one firm chooses flexible technology. Moreover, it is shown that there is a cost threshold that could shift the equilibria.


2016 ◽  
Vol 178 ◽  
pp. 95-108 ◽  
Author(s):  
Verena Hagspiel ◽  
Kuno J.M. Huisman ◽  
Peter M. Kort

Energy ◽  
2018 ◽  
Vol 150 ◽  
pp. 1006-1017 ◽  
Author(s):  
Joana Pinho ◽  
Joana Resende ◽  
Isabel Soares

2018 ◽  
Vol 13 (3) ◽  
pp. 755-772
Author(s):  
Dipankar Bose ◽  
A.K. Chatterjee ◽  
Samir Barman

PurposeProcess flexibility (PF) is seen as a hedging instrument against demand uncertainty. This paper aims to examine capacity decisions for both flexible and dedicated processes under production policies such as make-to-order and make-to-stock. The study identifies some relative benefits, in terms of expected profit, of the process flexible plant over the dedicated ones. Furthermore, the advantage appears to be contingent upon the decision on the preset service level.Design/methodology/approachUsing the sample-based optimization procedure, a detailed computational analysis is undertaken to identify the conditions under which a flexible plant is preferred over a dedicated plant. A combination of genetic algorithm and sample-based optimization procedure is used to capture the effects of preset service level. The factors controlled in this paper include the demand variance, demand correlation, capacity investment cost and the product price.FindingsAccording to this study, in a dedicated process changing to a flexible process is not justified for the same level of demand correlation even with high demand variance. In fact, a strict control on the preset service level prefers the dedicated strategy. The advantage of a flexible plant increases as the demand correlation decreases, product price decreases, price asymmetry increases or capacity investment cost increases. With a preset service level constraint, a flexible process should be preferred to a dedicated one only when the capacity investment cost is high or the products have low contribution margins.Originality/valueThe PF index is introduced in this paper to measure the benefit of a flexible plant over a group of dedicated plants. The benefits were found to be contingent upon the decision on the required service level.


2015 ◽  
Vol 25 (2) ◽  
pp. 455-486 ◽  
Author(s):  
Guy Meunier ◽  
Jean-Pierre Ponssard ◽  
Catherine Thomas

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