Multiperiod model for the optimal production planning in the industrial gases sector

A mixed integer nonlinear multiperiod model for supply chain management of a company in the retail sector

“…For example, Fernández et al [14] present a multiperiod MILP model to determine the optimal production timer for an industrial cryogenic separation process; Ortız-Gomez et al [33] describe three models of mixed integer multiperiodic optimization (MILP or MINLP) of varying complexity in oil production planning; Schulz et al [37] present a multiperiod MINLP model for production planning in the petrochemical context; Derakhshan et al [11] develop a MILP model that aims to design a new multiperiod closed-loop supply network, which considers reused costs and capacity constraints; Neiro and Pinto [31] present a large-scale multiperiod MINLP model applied to a real company, seeking to propose a general structure for the modeling of oil supply chains; Moreno and Montagna [30] developed a multiperiod MILP model to simultaneously optimize production planning and design decisions associated with multi-product batch plants in the chemical industry. This model considers several elements such as the duplication of units of batches, the allocation of storage tanks and also decisions related to stocks, sales and purchases.…”

Temporal sustainability efficiency analysis of urban areas via Data Envelopment Analysis and the hypervolume indicator: Application to London boroughs

“…One limitation of this approach is that extreme time periods are evaluated less frequently than intermediate ones (Cooper et al, 2007). An alternative way to study how efficiency changes over time is to use the Malmquist productivity index (Malmquist, 1953), which has been widely applied to a plethora of systems (Caves et al, 1982;Färe et al, 1994;Färe and Grosskopf, 1992;Fernández et al, 2017), including urban environments (Yu and Wen, 2010). This method allows assessing both temporal changes in efficiency and shifts in the efficient frontier (i.e.…”