Portfolio selection of new product development projects is one of the most important
decisions in an enterprise that impact future business profits, competitiveness and survival …

This paper is concerned with estimating cost of various new product development phases
with the use of computational intelligence techniques such as neural networks and fuzzy …

This paper presents the knowledge discovery process that aims to improve the forecast
quality of the success of new product development projects. The critical success factors for …

The paper is concerned with using constraint programming for simulating an alternative
project completion of new product development (NPD). All possible variants of project …

This paper focuses on implementing differential evolution (DE) to optimize the robotic
assembly line balancing (RALB) problems with an objective of minimizing energy …

We present an in-depth computational study of two local search metaheuristics for the
classical uncapacitated facility location problem. We investigate four problem instance …

Selecting the most suitable alternative under uncertainty is considered as a critical decision-
making problem that affects the success of organizations. In the selection process, there are …

This paper presents the use of a multi-agent framework for evaluating parameters of new
products and estimating cost of product design. Companies often develop many new …

We propose a large-scale sparse customer-facility network model that allows a customer to
be assigned only to facilities within the vicinity of a customer. In this model, customer-facility …

In the contemporary time, the reliability of any product has become a big issue from the
customer's perspective due to exponentially mushrooming markets of electronics and digital …