Multiobjective Optimization in Distributed Industry and Environmental Sustainability: a Systematic Literature Review

Abstract

With the growth of industrialization, researchers have also become increasingly concerned about environmental protection. Environmental issues have been one of the problems and one of the objectives to consider when it comes to production scaling problems, mainly minimizing energy consumption, and minimizing carbon emissions, as well as various other objectives to optimize. Measures that put pressure on organizations to pay more attention to the environment have been created, along with other measures, not only economic but also social. Good production scheduling allows organizations to be more successful in business, as it contributes to a better environment and society. Therefore, the search for processes that allow for more effective and efficient decision-making is becoming a subject of paramount importance to study. Sustainability is currently an urgent challenge for engineering and organizations. One of the ways to contribute to more sustainable manufacturing systems is the development of intelligent technologies and the sharing of manufacturing systems. This paper studies the literature on production scheduling approaches in distributed companies and their potential benefits for the environment and society, in addition to the economic benefits. In this way, the optimization of environmental, social, and economic measures in the planning and scheduling of production in extended company contexts, using approaches based on multiobjective optimization, is a primary focus of this work.