This paper focuses on the flow shop sequence dependent group scheduling (FSDGS) problem with minimisation of total completion time as the criterion (Fm|f<SUB align="right"><SMALL>mls</SMALL></SUB>, prmu, S<SUB align="right"><SMALL>plk</SMALL></SUB>|ΣC<SUB align="right"><SMALL>J</SMALL></SUB>). The research problem is formulated in form of two different mixed integer linear programming (MILP) models. Comparing...</small></sub></small></sub></small></sub>

The problems involved in the optimal design of water distribution networks belong to a class of large combinatorial optimization problems. Various heuristic and deterministic algorithms have been developed in the past two decades for solving optimization problems and applied to the design of...

The present study uses the DHW (domestic hot water) electric backup from solar thermal systems to optimize the total electricity dispatch of an isolated mini-grid. The proposed approach estimates the hourly DHW load, and proposes and simulates different DR (demand response) strategies, from the...

Proper planning and management of irrigation is vital in achieving food security for the burgeoning global population and sustaining livelihoods. Because irrigated agriculture is expected to provide more food, if managed properly. The comprehensive reviews on the use of various programming...

The present study deals with the application of Genetic Algorithms(GA) for irrigation planning. The GA technique is used to evolve efficient cropping pattern for maximizing benefits for an irrigation project in India. Constraints include continuity equation, land and water requirements, crop...

This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is...

The present scenario of global economy, the competition is not between individual organisations but between competing supply chains to optimise revenue and reduce the operating cost of supply chain. The areas of Revenue Management and Supply Chain Management represent two fundamental pillars for...

The present scenario of global economy, the competition is not between individual organisations but between competing supply chains to optimise revenue and reduce the operating cost of supply chain. The areas of Revenue Management and Supply Chain Management represent two fundamental pillars for...

This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is...

In management contexts, mathematical programming is usually used to evaluate a collection of possible alternative courses of action en route to selecting one which is best. In this capacity, mathematical programming serves as a planning aid to management. Data Envelopment Analysis reverses this...