Carbon emissions are receiving greater scrutiny in many countries due to international forces to reduce anthropogenic global climate change. Carbon taxation is one of the most common carbon emission regulation policies, and companies must incorporate it into their production and pricing decisions. Activity-based costing (ABC) and the theory of constraints (TOC) have been applied to solve produc...

Product-mix decision through theory of constraints (TOC) should take into account considerations like the decisionmaker’s (DM) level of satisfaction in order to make product-mix decision a robust one. Sensitivity of the decision made, needs to be focused for a bottle-neck-free, optimal product-mix solution of TOC problem. A membership function (MF) has been suitably designed in the present work...

Traditional programming paradigms and styles do not lend themselves easily to XML services. This has led to engineered systems that are characterized by a mix of special purpose and general purpose languages. Such systems are brittle, hard to understand and do not scale well hence they are not dependable. We describe some facets of the Scala programming language targeted at XML services that un...

Recently, sustainable supply chain management (SSCM) has become one of the important subjects in the industry and academia. Supplier selection, as a strategic decision, plays a significant role in SSCM. Researchers use different multi-criteria decision making (MCDM) methods to evaluate and select sustainable suppliers. In the previous studies, evaluation is solely based on the desirable feature...

Programmers want shared memory. They can get it on special-purpose multiprocessor architectures, but the speed of technological improvements makes it difficult for these architectures to compete with systems built from commodity parts. Shared-memory parallel programming on distributed systems is therefore an appealing idea, but it isn’t practical yet. Practicality will hinge on a prudent mix of...

This paper deals with re-modelling of a fuzzy linear programming (FLP) for an optimal product-mix decision problem and its solution. Database of a chocolate exporting company has been used here to show the practicability of using the proposed model. The proposed model includes a non-linear membership function (MF), a logistic function, which resemblances the realistic behaviour of the solution....

Computer Aided Learning makes extensive use of computer graphics. Specific tools and programming techniques have been developed to fulfil the needs of this domain. These tools may appear useful to more general kinds of applications. The present report describes two aspects of a case study: the use of a graphical formalism to describe lessons (graphical specification) and the approach taken to m...

This paper presents an approach for portfolio selection using evolutionary programming as a tool for optimization. The goal is to find the mix of stocks that minimize risk expressed as standard deviation for a certain expected return. Two alternatives approaches are developed (Hillclimbing and Random) to measure the performance of the modified genetic algorithm. Key-Words: Evolutionary Computin...

Many real-world problems require decision makers to consider multiple criteria when performing an analysis. One popular method used to analyze multicriteria decision problems is goal programming. When applying goal programming, it is often difficult if not impossible to determine the target values and unit penalty weights with any level of confidence. Thus, in many situations, managers and deci...

We propose a resource allocation model for the management of the fund for the screening and treatment of women infected by Chlamydia trachomatis and Neisseria gonorrhoeae . The goal is to maximize the number of infected women cured of Chlamydia trachomatis and Neisseria gonorrhoeae infections. The population going for screening is divided into groups by ages and races. The group number is dynam...