The effect of governmental policies of carbon taxes and energy-saving subsidies on enterprise decisions in a two-echelon supply chain

There has been mounting concerns over energy consumption and environmental impacts due to an increase in worldwide shipping activities. The International Maritime Organization has adopted regulations to impose limits on greenhouse gas emissions originated from fuel combustion of marine vessels. Such regulations are introduced in terms of energy efficiency design index and energy efficiency operational indicator. Extensive electrification of ship propulsion and shipboard power systems has been vastly proposed in the literature to make onboard energy systems more efficient. However, energy efficiency in the context of maritime transport is becoming even more stringent. Various technologies and operational practices therefore are being proposed to ensure full compliance with the tightening restrictions. The methods to increase energy efficiency and environmental performance of all-electric ships to satisfy such requirements involve integration of energy storage with a contribution of intelligent power management to optimize power split between various power generation sources; a tendency toward DC power distribution due to eliminating the need of all generators to be synchronized at a specific frequency; installation of unconventional propulsors for greater maneuverability requirements while keeping fuel consumption low; adoption of low carbon content fuel like liquefied natural gas for dual fuel diesel electric propulsion; establishment of onboard renewable energy systems for alternative clean power options; fuel cell integration in complementary operation with conventional diesel generators. This paper identifies promising technologies and practices that are applicable to onboard energy systems of all-electric ships and also reveals energy efficiency sensitivity of all-electric ships to different applications. The proposed strategies should be eventually combined with alternative technology-based and operational-based measures as implemented on conventional propulsion ships in order to realize full potential for energy efficient operation.

Energy efficiency of integrated electric propulsion for ships – A review

Sustainable maritime inventory routing problem with time window constraints

Designing and optimizing a sustainable supply chain network for a blood platelet bank under uncertainty

A novel data clustering algorithm based on modified gravitational search algorithm

https://nottingham-repository.worktribe.com/preview/792789/CAIE%20Accepted%20Paper%20%281%29.pdf

Composite particle algorithm for sustainable integrated dynamic ship routing and scheduling optimization

This paper presents an algorithmic approach to obtain the Nash equilibrium in a duopoly. Analytical solutions to duopolistic competition draw on principles of game theory and require simplifying assumptions such as symmetrical payoff functions, linear demand and linear cost. Such assumptions can reduce the practical use of duopolistic models. In contrast, we use an evolutionary algorithmic approach (EAA) to determine the Nash equilibrium values. This approach has the advantage that it can deal with and find optimum values for duopolistic competition modelled using non-linear functions. In the paper we gradually build up the competitive situation by considering non-linear demand functions, non-linear cost functions, production and environmental constraints, and production in discrete bands. We employ particle swarm optimization with composite particles (PSOCP), a variant of particle swarm optimization, as the evolutionary algorithm. Through the paper we explicitly demonstrate how EAA can solve games with constrained payoff functions that cannot be dealt with by traditional analytical methods. We solve several benchmark problems from the literature and compare the results obtained from EAA with those obtained analytically, demonstrating the resilience and rigor of our EAA solution approach.

An evolutionary algorithmic approach to determine the Nash equilibrium in a duopoly with nonlinearities and constraints

This paper presents an algorithmic approach to determine an equilibrium solution to a non-cooperative duopoly game where sustainable pollution constraints exist. In contrast to an analytical approach, which typically requires simplifying assumptions such as linear demand and linear cost functions, we use a composite particle swarm optimization technique to determine the equilibrium values. This approach has the advantage that it can deal with and find optimum values for non-linear functions. In the paper we specifically include production constraints due to pollution. We solve a benchmark problem and compare the results obtained from particle swarm optimization approach with those obtained analytically thus demonstrating that the algorithmic approach is resilient and rigorous.

Vamsee Krishna Mamanduru

Papers

Composite particle algorithm for sustainable integrated dynamic ship routing and scheduling optimization

An evolutionary algorithmic approach to determine the Nash equilibrium in a duopoly with nonlinearities and constraints

Using a particle swarm optimization approach to examine a competitive production situation constrained by sustainable levels of pollution