This paper gives a review on existing scheduling methodologies developed for process
industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling …

Recent developments in energy markets, such as the increasing share of inherently volatile
renewable power in the energy supply mix and the need of reducing carbon emissions while …

In this paper, we present a brief overview of enterprise-wide optimization and challenges in
multiscale temporal modeling and integration of different models for the levels of planning …

Variations in parameters such as processing times, yields, and availability of materials and
utilities can have a detrimental effect in the optimality and/or feasibility of an otherwise …

A novel data‐driven approach for optimization under uncertainty based on multistage
adaptive robust optimization (ARO) and nonparametric kernel density M‐estimation is …

The management of global supply chains is highly complex and vital for multinational
pharmaceutical enterprises. Global integrated planning in multi-site, multi-echelon network …

As environmental awareness grows, sustainable scheduling is attracting increasing
attention. The purposes of this paper are obtain the lower bound of energy-efficient flexible …

A systematic framework for the integration of short‐term scheduling and dynamic
optimization (DO) of batch processes is described. The state equipment network (SEN) is …

The goal of this paper is to discuss the modeling aspects and study the computational
performance of scheduling approaches for batch process networks that are based on …

We propose linear generalized disjunctive programming (GDP) models for the short-term
scheduling problem of single stage batch plants with parallel units. Three different concepts …