This talk presents an overview of several problems that arise during product design for sustainability and their possible solutions. A set of problems is described from an industrial engineering viewpoint, including the problem elements, the need to expand the set of conflicting objectives under consideration, the need to consider the entire product lifecycle, the need to employ new data acquisition tools, and the need to investigate the complex role of consumer behavior before, during and after the point of purchase. Methods that have been developed towards solving these problems are presented, employing a mathematical programming framework. This talk highlights several instances of the benefits of bringing the logic and mathematical rigor of industrial engineering methods to these problems. Several contributions are presented, and include defining the concept of the product lifecycle from a decision based design point of view, developing different types of decision making techniques for engineering design (both subjective & objective), normative decision analytic methods (e.g. multiattribute utility, constrained optimization), methods for environmentally conscious design to cover new environmental objectives (e.g. connection of design with the end-of-use phase) and immersive computing technologies to address challenges with information-intensive design procedures.