Research on Route Deviation Transit Operation Scheduling—A Case Study in Suburb No. 5 Road of Harbin

Route deviation transit is a flexible “door-to-door” service method that combines the efficiency of conventional public transport modes and the flexibility of demand response modes, meeting the travel needs of people with low travel density and special groups. In this paper, the minimum value of the sum of vehicle operating cost and passenger travel cost was the optimal goal, and the RDT multi-vehicle operation scheduling model was constructed. Taking the available relaxation time as the control parameter of the RDT system and considering the insertion process of the random travel demand of the passengers during the operation process, we used a heuristic search algorithm to solve the scheduling model. This paper took Suburb No. 5 Road of Harbin as an example, using MATLAB to simulate the RDT operation scheduling model to verify the stability and feasibility of the RDT system under different demands. The results showed that under different demand conditions, the system indicators such as passenger travel time, waiting time, and vehicle mileage in the RDT system fluctuated very little, and the system performance was relatively stable. Under the same demand conditions, the per capita cost of the RDT system was 5.9% to 10.8% less than that of the conventional bus system. When the demand ρ is 20~40 person/hour, the RDT system is more effective than the conventional bus for the 5 bus in the suburbs of Harbin.

A Comprehensive Energy Optimized Operation Strategy Based on Energy Storage Model

The unified modeling of distributed resources in comprehensive energy parks is the basis to achieving energy scheduling. This article first analyzed the key modeling elements of the energy storage model, the conversion of central air conditioning and ice storage to the energy storage model was completed. Finally, based on the unified energy storage model in combination with the time-of-use electricity prices and load conditions of the park, the local economic operation strategy of distributed resources was realized. The energy storage model and local operation strategy were used as the edge computing of the energy management gateway, which realized the real-time status monitoring and economic operation scheduling of the comprehensive energies. This study provides local solutions for the economic operation of comprehensive energy parks.

Maximum Utilization in Operations Scheduling for Multiple Machines and Batches in Additive Manufacturing

Scheduling and sequencing are forms of decision making that present a fundamental role in Additive Manufacturing (AM). This work studies the scheduling for a set of three-dimensional (3D) printers when the maximum utilization is used as an indicator. The aim is to establish a criterion that minimizes the use of available resources. A program has been done by using the software package Python and this has allowed studying the effect that the maximum utilization presents on operation scheduling. As evaluated a large number of pieces of various sizes, the analysis is found to be effective in yielding near-optimal solutions. The obtained outcomes have identified aspects of the production such as production planning and control as well as work organization.