An Integrated Model for Optimization of Production-Distribution inventory Levels and Routing Structure for a Multi-Period, Multi-Product, Bi-Echelon Supply Chain

In many multi-stage manufacturing supply chains, transportation related costs are a significant portion of final product costs. It is often crucial for successful decision making approaches in multi-stage manufacturing supply chains to explicitly account for non-linear transportation costs. In this paper, we have explored this problem by considering a Two-Stage Production-Transportation (TSPT). A two- stage supply chain that faces a deterministic stream of external demands for a single product is considered. A finite supply of raw materials, and finite production at stage one has been assumed. Items are manufactured at stage one and transported to stage two, where the storage capacity of the warehouses is limited. Packaging is completed at stage two (that is, value is added to each item, but no new items are created), and the finished goods inventories are stored which is used to meet the final demand of customers. During each period, the optimized production levels in stage one, as well as transportation levels between stage one and stage two and routing structure from the production plant to warehouses and then to customers, must be determined. We consider “different cost structures,” for both manufacturing and transportation. This TSPT model with capacity constraint at both stages is optimized using Genetic Algorithms (GA) and the results obtained are compared with the results of other optimization techniques of complete enumeration, LINDO, and C-plex

Competitive Models to Detect Stock Manipulation

In this paper, data from the Indian stock market is used to study the prediction accuracy of various classification techniques that can be used to identify market manipulation. The data contains information regarding price, volume and volatility of various stocks. Techniques like discriminant analysis, a composite model based on artificial neural network – genetic algorithm (ann-ga) and support vector machine (svm) have been used for classifying stocks into manipulated and non manipulated categories. It is observed that the support vector machine based technique gives the best classification accuracy among the three techniques

A Comparative Representation Approach to Modern Heuristic Search Methods in a Job Shop

The job shop problem is among the class of NP- hard combinatorial problems. This Research paper addresses the problem of static job shop scheduling on the job-based representation and the rule based representations. The popular search techniques like the genetic algorithm and simulated annealing are used for the determination of the objectives like minimizations of the makespan time and mean flow time. Various rules like the SPT, LPT, MWKR, and LWKR are used for the objective function to attain the results. The summary of results from this paper gives a conclusion that the genetic algorithm gives better results in the makespan time determination on both the job based representation and the rule based representation and the simulated annealing algorithm gives the better results in the mean flow time in both the representations

A study on knowledge sharing behavior among academicians in India

The intention of this paper is to present the concept of knowledge sharing practices among faculty members in academic institutions through the theory of planned behavior (TPB). This paper examines survey results collected on academician’s knowledge sharing. A theory of planned behavior is used as a source model to develop two models: one with the causal path from subjective norms to attitude and the other with a causal path from subjective norms to perceived behavioral control. From the results of the significance of the subjective norms to the attitude path, it is possible to conclude that there is a similarity in faculty attitude toward knowledge sharing and what they feel about knowledge sharing due to social pressure. Similarly, the casual path created from subjective norms to perceived behavioral control reveals that the academician's behavior in knowledge sharing depends upon his/her feelings about the views of others. Further analysis of the three models resulted in the emergence of a new model

Symptoms and their Relationship to Disability Following Treatment for Lower Extremity Tumours

Purpose. The aims of this study were to describe the symptoms experienced by patients in the first year following treatment for lower extremity sarcoma by limb conservation and to describe the relationship between symptoms and physical disability

Performance measurement - A balanced score card approach

This paper suggests a framework of performance measurement through a balanced scorecard and to provide an objective indicator for evaluating the achievement of the strategic goals of the corporate.This paper uses the concepts of balanced score card and adopts an analytical hierarchical process model to measure an organizational performance. The balanced score card is a widely used management framework for the measurement of organizational performance.Preference theory is used to calculate the relative weightage for each factor, using the pair wise comparison.This framework may be used to calculate the effectiveness score for balanced score card as a final value of performance for any organization.The variations between targeted performance and actual performance were analyzed