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This paper presents an algorithm for solving a multi-level programming problem using a linear pre-emptive goal programming model. The higher level decision maker (DM) provides the preferred values of the decision variables under his control and the target value of his objective function to the next level DM to formulate a goal programming problem equivalent to the given multi-level programming problem...
This paper deals with a methodology for solving a Chance Constrained Fuzzy linear programming problem. The methodology is applied to the Chance Constrained model where the constraints have two different types of fuzzy inequalities and the method is justified through numerical examples.
Lead time and setup cost are controllable variables in our continuous review inventory model. In this study we assume that only the first and second moments, of the probability distribution of lead time demand, are known. Order quantity and backorder price discount are decision variables in our problem with mixture of backorders and lost sales. As a result of reducing lead-time we can have significant...
The characteristics of Skiplot Sampling Plans (SkSP) originally developed by Dodge and Perry are reconsidered in this paper from a computational point of view. The reference plan plays an important role in the performance of SkSP. A Single Sampling Plan (SSP) is normally used as reference plan and a number of procedures are available to determine the SSP. We focus on the algorithm-based procedures...
We present a blocked, quadratic regression model in this article. The model has a predictor variable, which does not allow direct measurement but may be estimated from other observations. A solution method is outlined to find the estimated values of the model parameters and such a predictor variable. The model has substantial scope of application. Such an application, in business school ranking, is...
This paper analyses the modeling of a production system, which is designed as an N-policy M[x]/M/1 queueing system with a removable and non-reliable server. The server spends a random period for startup procedure before each new service. The server does not start the production until some specified number of raw materials ‘N’ are accumulated in the queue and it stays idle when there is no input unit...
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