Quality function deployment is a well-known customer-oriented design procedure for translating the voice of customers into a final production. This is a way that higher customer satisfaction is achieved while the other goals of company may also be met. This method, at the first stage, attempts to determine the best fulfillment levels of design requirements which are emanated by customer needs. ...

A firm tends to associate capacity planning with economic scale size and demand fulfillment for profit maximization. However, it is troublesome capacity dilemmas to achieve both of them simultaneously in stochastic environment. We propose a multi-objective stochastic programming with data envelopment analysis (DEA) constraints to find a compromise efficient benchmark.

In a competitive environment, e-commerce companies should give more importance to their web sites. Therefore, this paper proposes an easy-to-use framework for evaluating the performance of e-commerce Web sites, based on fuzzy compromise programming. The proposed framework is also used for evaluating web sites of some e-Commerce companies in Serbia.

The paradigm of multi-criteria decision making considers not only many attributes in the decision-making process but also the optimization of a number of objectives to accomplish certain targets. A multi-objective programming problem is a problem involving the simultaneous optimization of various, often conflicting, objective functions under certain given constraints to find compromise solution...

A forensics investigation after a breach often uncovers network and host indicators of compromise (IOCs) that can be deployed to sensors to allow early detection of the adversary in the future. Over time, the adversary will change tactics, techniques, and procedures (TTPs), which will also change the data generated. If the IOCs are not kept up-to-date with the adversary’s new TTPs, the adversar...

Traditionally, supplier selection should simultaneously take into account numerous heterogeneous criteria, and then is a tedious task for the purchasing decision makers. It becomes especially complicated when quantity discounts are considered at the same time. Under such manner, most studies often formulate such a problem as a Multi-Objective Linear Programming (MOLP) problem, and then scale it...