Train Scheduling and Rescheduling in the UK with a Modified Shifting Bottleneck Procedure

نویسندگان

  • Banafsheh Khosravi
  • Julia A. Bennell
  • Chris N. Potts
چکیده

This paper introduces a modified shifting bottleneck approach to solve train scheduling and rescheduling problems. The problem is formulated as a job shop scheduling model and a mixed integer linear programming model is also presented. The shifting bottleneck procedure is a wellestablished heuristic method for obtaining solutions to the job shop and other machine scheduling problems. We modify the classical shifting bottleneck approach to make it suitable for the types of job shop problem that arises in train scheduling. The method decomposes the problem into several single machine problems. Different variations of the method are considered with regard to solving the single machine problems. We compare and report the performance of the algorithms for a case study based on part of the UK railway network. 1998 ACM Subject Classification G.1.6 Optimization, Integer programming

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A multi Agent System Based on Modified Shifting Bottleneck and Search Techniques for Job Shop Scheduling Problems

This paper presents a multi agent system for the job shop scheduling problems. The proposed system consists of initial scheduling agent, search agents, and schedule management agent. In initial scheduling agent, a modified Shifting Bottleneck is proposed. That is, an effective heuristic approach and can generate a good solution in a low computational effort. In search agents, a hybrid search ap...

متن کامل

Train Scheduling Problem - Phase I: A General Simulation Modeling Framework

One of the important problems in management of railway systems is train scheduling problem. This is the problem of determining a timetable for a set of trains that do not violate infrastructure capacities and satisfies some operational constraints. In this study, a feasible timetable generator framework for stochastic simulation modeling is developed. The objective is to obtain a feasible tr...

متن کامل

Scheduling of flexible manufacturing systems using genetic algorithm: A heuristic approach

Scheduling of production in Flexible Manufacturing Systems (FMSs) has been extensively investigated over the past years and it continues to attract the interest of both academic researchers and practitioners. The generation of new and modified production schedules is becoming a necessity in today’s complex manufacturing environment. Genetic algorithms are used in this paper to obtain an initial...

متن کامل

Multi-period and multi-resource operating room scheduling and rescheduling using a rolling horizon approach: a case study

In this paper, a multi-period and multi-resource operating room (OR) scheduling and rescheduling problem with elective and semi-elective (semi-urgent) patients is addressed. A scheduling-rescheduling framework based on the so-called rolling horizon approach is proposed to solve the problem. The core of the proposed framework is a novel proposed mixed-integer linear programming (MILP) model with...

متن کامل

A Mathematical Model for Operating Room Scheduling Considering Limitations on Human Resources Access and Patient Prioritization

Operating room scheduling is an important task in healthcare sector. This study proposes a Mixed Integer Nonlinear Programming (MINLP) mathematical model for the scheduling of the operating rooms. In the presented model, apart from scheduling the patients’ surgery process, shifting of the medical staff is also carried out. The innovation considered in the proposed model is aimed at prioritizing...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012