We consider an uncapacitated lot-sizing problem in co-production systems, which it is possible to produce multiple items simultaneously a single production run. Each product has deterministic demand be satisfied on time. The decision choose co-produce and the amount of throughout predetermined planning horizon. show that with strongly NP-Hard. Then, we develop various Mixed-Integer Linear Progr...

Production planning is an important task in manufacturing systems. We consider a real-world capacitated lot-sizing problem (CLSP) from the process industry. Because the problem requires discrete lot-sizes, domain-specific methods from the literature are not directly applicable. We therefore approach the problem with WSAT (OIP), a new domainindependent heuristic for integer optimization which ge...

This article deals with distributed control of microgrids composed storages, generators, renewable energy sources, and critical controllable loads. We consider a stochastic formulation the optimal problem associated microgrid that appropriately takes into account unpredictable nature power generated by renewables. The resulting is mixed-integer linear program NP-hard nonconvex. Moreover, peculi...

In this study, a two-stage fuzzy robust integer programming (TFRIP) method has been developed for planning environmental management systems under uncertainty. This approach integrates techniques of robust programming and two-stage stochastic programming within a mixed integer linear programming framework. It can facilitate dynamic analysis of capacity-expansion planning for waste management fac...

The objective of this research is to study plant layout of iron manufacturing based on the systematic layout planning pattern theory (SLP) for increased productivity. In this case study, amount of equipments and tools in iron production are studied. The detailed study of the plant layout such as operation process chart, flow of material and activity relationship chart has been investigated. The...