... the overall quality of their products, and produced unexpected benefits such as practically eliminating the high turnover of scheduling operators. Production scheduling Linear programming Fabric Textile industry Heuristics Machining Significant attention is currently being paid...

... the results in Table II to rank hospitals in each year separately. © MCB UP Limited 2002 Data envelopment analysis Efficiency Hospitals Linear programming In a recent paper, Al‐Shammari (1999) utilized data envelopment analysis (DEA) in evaluating the performance of 15 hospitals...

..., under the small buffer assumption we require: (see equation 3) It should be noted that (3.2) is a vector equation which holds for each coordinate. By requiring (see equation 4) we may propose a linear programming model to maximize throughput per unit of input at the first process. The resulting model...

...Minwir Al‐Shammari This paper seeks to measure and evaluate the productive efficiency of health‐care organizations (hospitals) using a multicriteria Data Envelopment Analysis (DEA) methodology. DEA is a special linear programming model for deriving the comparative efficiency of multiple‐input...

...Mingyuan Chen; Weimin Wang Develops a linear programming model for integrated production planning based on the practice of a major Canadian steel making company. Considers the entire planning activity in the company as an integrated process involving a number of closely related sub‐functions...

...Ahmed K. Rifai Goal programming is an extension of linear programming. Suggests that, although linear programming is used widely in decision‐making processes, it has a major limitation which restricts the users of the technique to narrowing their problems to a single objective function. Goal...

... set procedure yielded optimal integer solutions for all 36 test problems in the FT experiment. Owing to the size and complexity of the problem data in the MW experiment, the GSCFs associated with the working sets were solved with linear programming, and heuristic rounding procedures were applied...

... of demand smoothness and mean demand on the solution quality associated with four prominent heuristic methods. Indicates that both characteristics can affect the performance of the heuristic methods. An especially important finding is that the two methods which use information from linear programming...

... is critical in analysing performance. Presents a linear programming model to generate the optimal base‐period data as well as to provide valuable information through sensitivity analysis that is not possible by the measurement model. This information can lead to an investigation of the causes of problems...

... practice is to use a linear programming (LP) approach. Finds that the solution obtained from LP is not always effective and shows that a goal‐programming approach can be used efficiently in such decision‐making problems. © MCB UP Limited 1993 Decision making Linear programming Manufacturing...

..., compute the total cost TC(Nt). Step 2. Compute the total cost TC for Nt = Nt + 1. Step 3. Repeat Step 2 until the optimal value of Nt that minimizes the total cost TC is found. The procedure is repeated to determine the optimal values of Nt for t = 0 23 (hour 0 = 24) for each zone. Integer Linear-Program...