Optimum Design of a Transportation Scheme for Healthcare Supply Chain Management: The Effect of Energy Consumption

Abstract

The perishability of blood platelets complicates the management of their supply chain. This paper studies the impact of energy consumption and carbon emissions of transportation activities in a blood platelet supply chain. Energy consumption and carbon emissions vary significantly, and the effective location-allocation of blood facilities is a key strategy for the optimal use of energy. The total cost of the supply chain for perishable products is minimized when energy consumption is optimized. The proposed model is too complex to be solved with existing methodologies; therefore, mathematical tools are used to solve it. A numerical experiment is carried out to validate the proposed model, and graphical representations are presented for better visualization of the study’s outcomes. The results of the numerical studies confirm that the selected locations of blood facilities are optimal for the maximization of energy efficiency and minimization of the total cost.

Nonlinear System Stability and Behavioral Analysis for Effective Implementation of Artificial Lower Limb

“…After applying a derivative process in the Equations ( 36) and ( 37) respectively, the obtained Equations are as given below: 2y + 25.6354 = 0 (38) 2y + 19 = 0 (39)…”

“…Through phase portrait analysis and the Lyapunov method, the system stability [36,37] of the designed system definition is feasible. Thus, system design method for nonlinear control systems are application-specific [38]. The describing function is the well-established process to analyze the nonlinear function [39] with an approximation, and to determine the stability of a nonlinear system.…”

Two-echelon urban deliveries using autonomous vehicles

“…We could also allow LVs to carry SAVs and freight, and further performing freight replenishment during LV routes. Besides, other cost functions of the LV-SAV model, like travel time, energy consumption, and carbon emissions (Murray and Chu 2015, Jemai and Sarkar 2019, Sarkar et al 2016, can also be considered. In addition, we noticed that there is a period when the LV carries its SAVs moving on the road.…”

Comprehensive energy cooperative optimization model based on energy conversion efficiency considering investment benefit

“…16 In addition, research has been conducted on energy efficiency from the perspective of energy supply chain management to improve the energy system management by reducing energy losses and equipment failure rates and to develop a comprehensive theory for energy management. [17][18][19][20][21][22][23] Various types of energy systems have been studied, including natural gas, electrical energy, and thermal energy systems, and studies have analyzed the interrelationships between various energy sources. However, these studies are limited and only consider the efficiencies of certain aspects of systems such as economic or technical aspects.…”

“…Meanwhile, an optimization algorithm based on machine learning is proposed to optimize multiple energy systems by selecting the appropriate decision variables 16 . In addition, research has been conducted on energy efficiency from the perspective of energy supply chain management to improve the energy system management by reducing energy losses and equipment failure rates and to develop a comprehensive theory for energy management 17‐23 …”