The operational concept of aerodynamic formation flight, also referred to as aircraft wake-surfing for efficiency (AWSE), has high potential in terms fuel savings and climate impact mitigation. In order implement this concept, many technological challenges have be coped with. As the consumption during a mission strongly depends on successful execution AWSE, existing uncertainties regarding flig...

Nowadays, utilization of renewable energies for satisfying electricity demand has received more interest, and renewable electricity generation has been growing in the world. This study addresses the operational planning of a renewable electricity supply chain over a multi-period planning horizon. The purpose of this study is to maximize total profit and to optimize the operational decisions rel...

Plug-in hybrid electric vehicles (PHEVs) represent one option for the electrification of private mobility. In order to efficiently integrate PHEVs into power systems, existing organizational structures need to be considered. Based on procedures of power systems planning and operation, actors are identified whose operational activities will be affected by PHEV integration. Potential changes and ...

This paper describes HICAP, a general purpose planning architecture that we have developed and applied to assist military commanders and their sta with planning NEOs (Noncombatant Evacuation Operations). HICAP integrates a hierarchical task editor, HTE, with a conversational casebased planner, NaCoDAE/HTN. In this application, HTE maintains an agenda of tactical planning tasks that, according t...

A novel supply chain operational transport planning model is developed in this paper. The goals of the model are to minimize the number of used trucks and the total inventory levels. Because of somewhat imprecise nature of vehicle capacities and decision makers’ aspiration levels for the goals, a fuzzy multiobjective linear programming (FMOLP) modeling approach is adopted. Moreover, an interact...

In order to improve the bandwidth allocation considering feedback of operational environment, adaptable bandwidth planning based on reinforcement learning is proposed. The approach is based on new constrained scheduling algorithms controlled by reinforcement learning techniques. Different constrained scheduling algorithms,, such as “conflict free scheduling with minimum duration”, “partial disp...

The coordination of plans of multiple organizations is more than formalizing the interdependences of the constituting plans. It is also about aligning the processes that lead to those plans. However, existing supply chain literature neglects operational planning processes: no general theory or framework is available about the organization of interactions that are crucial both for the individual...

Traditional sales and operations planning (S&OP) focus on coordination in sales, production and inventory. The most obvious drawback is to manipulate various operational data during the planning meeting. To improve existing manual process of balancing between demand and supply, the integrated architecture of S&OP in supply chain based on Data Warehousing (DW) technology has been presented, whic...

As today’s supply chain (SC) networks are globalized complex systems planning and optimizing SC processes is harder than ever. Unexpected deviations and disruptions can lead to devastating and far-reaching consequences. Hence, the management of SC risk (SCR) is of fundamental importance. The literature on SCR is, however, mostly of anecdotic nature; only few authors present empirical research. ...

Production scheduling (planning) of an open-pit mine is the procedure during which the rock blocks are assigned to different production periods in a way that the highest net present value of the project achieved subject to operational constraints. The paper introduces a new and computationally less expensive meta-heuristic technique known as imperialist competitive algorithm (ICA) for long-term...