scholarly journals Vehicle Scheduling Optimization considering the Passenger Waiting Cost

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Huayan Shang ◽  
Yanping Liu ◽  
Haijun Huang ◽  
Renyong Guo
Keyword(s):  
Network Flow ◽  
Planning Process ◽  
Waiting Times ◽  
Vehicle Scheduling ◽  
Operational Planning ◽  
Critical Element ◽  
Fleet Size ◽  
Scheduling Model ◽  
Waiting Cost ◽  
Schedule Synchronization

In the operational planning process of public transport, the time a passenger spends on waiting is a very critical element for judging passenger service. Schedule synchronization is a useful strategy for reducing bus waiting time and improving service connectivity. This paper develops an extended vehicle scheduling model, taking into account the interests of passengers and operators in attaining optimization of timetable synchronization integrated with vehicle scheduling and considering the passenger waiting cost. Deficit functions at terminals are formulated. Deadheading (DH), shifting departure time (SDT), and network flow technique are used for vehicle scheduling with the consideration of passenger waiting times. An experimental study in Beijing is conducted and three important bus lines are selected as a regional bus network to demonstrate the methodology developed. Results show that both the fleet size of bus operators and the waiting cost of passengers are minimized. For example, the minimum fleet size can be reduced from 28 vehicles to 24 ones while the passenger times are less than 20 minutes in this multidepot network.

scholarly journals Directly Observed Treatment: planning perspectives, improvisation and transfer of policy

2018 ◽  
Vol 71 (4) ◽  
pp. 1940-1948
Author(s):  
Rarianne Carvalho Peruhype ◽  
Simone Gomes Costa ◽  
Juliana Feliciati Hoffmann ◽  
Karen Bissell ◽  
Fernando Mitano ◽  
...  
Keyword(s):  
Planning Process ◽  
Negative Association ◽  
Point Of View ◽  
Operational Planning ◽  
Tuberculosis Control ◽  
Structured Interviews ◽  
Political Will ◽  
Control Programs ◽  
Directly Observed Treatment ◽  
Contextual Change

ABSTRACT Objective: to investigate the possibilities of positive and negative association of improvisation and the understanding of what will be the planning by managers and coordinators of tuberculosis control programs, in a context of transference of the Directly Observed Treatment policy. Method: this is a qualitative study, developed through semi-structured interviews analyzed in the light of French Discourse Analysis. Results: there was a weakening of the constructive and operational planning process, which is at the mercy of political will and the need of putting out fires. This, in turn, along with achômetro (Brazilian popular expression used on unsubstantiated point of view or opinion that is based solely and exclusively on the intuition of the person who says it), composed the metaphor of improvisation in its negative perspective, understood by automatism and unsystematization process. Improvisation, however, emerged as a representation of innovation, creativity, and contextual change. Final considerations: both the planning and the transfer of public policies constitute processes that need to be strengthened and qualified in the field of public health.

Investigation of solution techniques of unit commitment problems: A review

2021 ◽  
pp. 0309524X2199244
Author(s):  
Vineet Kumar ◽  
Ram Naresh ◽  
Amita Singh
Keyword(s):  
Power Systems ◽  
Planning Process ◽  
Unit Commitment ◽  
Operational Planning ◽  
Recent Past ◽  
Research Papers ◽  
Start Up ◽  
Subsequent Step ◽  
Commitment Problems ◽  
Published Research

The Unit Commitment (UC) is a significant act of optimization in day-to-day operational planning of modern power systems. After load forecasting, UC is the subsequent step in the planning process. The electric utilities decide in advance which units are to start-up, when to connect them to the network, the sequence in which the generating units should be shut down and for how long. In view of the above, this paper attempts on presenting a thorough and precise review of the recent approaches applied in optimizing UC problems, incorporating both stochastic and deterministic loads, based on various peer reviewed published research papers of reputed journals. It emphasizes on non-conventional energy and distributed power generating systems along with deregulated and regulated environment. Along with an overview, a comprehensive analysis of the UC algorithms reported in the recent past since 2015 has been discussed for the assistance of new researchers concerned with this domain.

scholarly journals Healthcare Quality Management System in Pakistan

2019 ◽  
Vol 3 (2) ◽  
pp. 74-77
Author(s):  
Wajahat Hussain
Keyword(s):  
Quality Management ◽  
Health Services ◽  
Healthcare System ◽  
Planning Process ◽  
Quality Management System ◽  
International Health ◽  
Quality Of Healthcare ◽  
Poor Quality ◽  
Operational Planning ◽  
Quality Health

The competitive healthcare system and healthcare environment, modern hospitals with substantial investment, healthcare reforms, availability of specialized persons in hospital management, health services management, the success of quality management programs in developed nations and high interest of international health organizations like WHO has led the developing countries like Pakistan to pay due attention to quality in national healthcare system.  Since the time of independence healthcare system in Pakistan is striving for improvements. Despite of the physical infrastructure and availability of qualified workforce for service delivery there are gaps in strategic and operational planning which resulted in poor quality health services. The leaders in healthcare has little awareness that the quality management is an organized specialty to improve the quality of healthcare. It is need of the hour that healthcare leaders in Pakistan must integrate quality improvement activities in strategic and operational planning process of healthcare system. This the only way to maximize the benefits of healthcare system and restore the rapidly deteriorating public trust.

scholarly journals A MultiObjective Optimization Approach for Integrated Timetabling and Vehicle Scheduling with Uncertainty

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yindong Shen ◽  
Wenliang Xie ◽  
Jingpeng Li
Keyword(s):  
Multiobjective Optimization ◽  
Planning Process ◽  
Service Level ◽  
Vehicle Scheduling ◽  
Neighborhood Search ◽  
Optimization Approach ◽  
Transit Planning ◽  
Integrated Optimization ◽  
Link Cost ◽  
Integrated Approaches

The timetabling problem (TTP) and vehicle scheduling problem (VSP) are two indispensable problems in public transit planning process. They used to be solved in sequence; hence, optimality of resulting solutions is compromised. To get better results, some integrated approaches emerge to solve the TTP and VSP as an integrated problem. In the existing integrated approaches, the passenger comfort on bus and the uncertainty in the real world are rarely considered. To provide better service for passengers and enhance the robustness of the schedule to be compiled, we study the integrated optimization of TTP and VSP with uncertainty. In this paper, a novel multiobjective optimization approach with the objectives of minimizing the passenger travel cost, the vehicle scheduling cost, and the incompatible trip-link cost is proposed. Meanwhile, a multiobjective hybrid algorithm, which is a combination of the self-adjust genetic algorithm (SGA), large neighborhood search (LNS) algorithm, and Pareto separation operator (PSO), is applied to solve the integrated optimization problem. The experimental results show that the approach outperforms existing approaches in terms of service level and robustness.

scholarly journals Timetable Design for Urban Rail Line with Capacity Constraints

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yu-Ting Zhu ◽  
Bao-Hua Mao ◽  
Lu Liu ◽  
Ming-Gao Li
Keyword(s):  
Solution Method ◽  
Operating Cost ◽  
Capacity Constraints ◽  
Scheduling Model ◽  
Urban Rail ◽  
Proposed Model ◽  
Rail Line ◽  
First Come First Serve ◽  
Waiting Cost ◽  
Simulation Results

To design an efficient and economical timetable for a heavily congested urban rail corridor, a scheduling model is proposed in this paper. The objective of the proposed model is to find the departure time of trains at the start terminal to minimize the system cost, which includes passenger waiting cost and operating cost. To evaluate the performance of the timetable, a simulation model is developed to simulate the detailed movements of passengers and trains with strict constraints of station and train capacities. It assumes that passengers who arrive early will have more chances to access a station and board a train. The accessing and boarding processes of passengers are all based on a first-come-first-serve basis. When a station is full, passengers unable to access must wait outside until the number of waiting passengers at platform falls below a given value. When a train is full, passengers unable to board must wait at the platform for the next train to arrive. Then, based on the simulation results, a two-stage genetic algorithm is introduced to find the best timetable. Finally, a numerical example is given to demonstrate the effectiveness of the proposed model and solution method.

Operational Planning Using Mixed Integer Programming

1988 ◽  
Vol 64 (6) ◽  
pp. 485-488 ◽  
Author(s):  
H. Douglas Walker ◽  
Stephen W. Preiss
Keyword(s):  
Planning Process ◽  
Cost Savings ◽  
Mathematical Structure ◽  
Timber Harvesting ◽  
Operational Planning ◽  
Mixed Integer ◽  
Forest Planning ◽  
Planning Problem ◽  
Process Data ◽  
Planning Problems

A mathematical model was constructed and used to help plan five-year timber harvesting and delivery activities from an industrially managed public forest in Ontario. Harvest systems, harvest levels, and wood flows from compartments within the forest to various mills and delivery points were scheduled to minimize costs. The mathematical structure of the model may suggest applications to related forest planning problems. The model was useful in addressing the planning problem, and model results were used within the company's planning process. Data accuracy problems precluded assessing definitively the expected cost savings resulting from model use.

War Studies University Attempt to Design Thinking

2019 ◽  
Vol 114 (1) ◽  
pp. 75-87
Author(s):  
Piotr HARĘŻLAK, LTC, PhD ◽  
Robert ROSA Maj. M.Sc
Keyword(s):  
Experimental Model ◽  
Cultural Adaptation ◽  
Design Thinking ◽  
Planning Process ◽  
Operational Planning ◽  
Operational Environment ◽  
Testing Model ◽  
Independent Variables ◽  
Senior Officers ◽  
Experimental Group

This article describes the process of recognising and acquiring new capabilities in the frame of operational planning process. It refers to the changes in the operational environment which can be observed nowadays. Educating senior officers is a process which requires proper tools, techniques, methods and approach. War Studies University tries to respond to these appearing needs in the field of operational planning process, especially in understanding the operational environment. The article looks at the elements of this process. Implementing the design thinking may possibly be an offer that has to be tested. A general overview of the testing model is the aim of the second part of this article. A description of the experimental model includes control and experimental group, dependent and independent variables. Additionally, selected tools are presented. The conduct of the pilot research to verify methods and the way of conducting the experiment is also predicted. The article also refers to the problems of cultural adaptation of the scenario. First of all, the scenario has to be of complex context. This is the consequence of used typology of the operational environment. In the Cynefin framework, environment is divided into four types: simple, complicated, complex and chaotic. The article underlines the meaning of the research concerning the design thinking, as a divergent approach, in the process of implementing this into operational planning.

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