Using Simulated Annealing with a Neighborhood Heuristic for Roll Cutting Optimization

نویسندگان

  • Horacio Martinez-Alfaro
  • Manuel Valenzuela-Rendón
چکیده

This article presents the use of the Simulated Annealing algorithm with a heuristic to solve the waste minimization problem in roll cutting programming, in this case, paper. Client orders, which vary in weight, width, and external and internal diameter, are fully satisfied. Several tests were performed with real data from a paper company in which an average of 30% waste reduction and 100% reduction in production to inventory are obtained compare to the previous procedure.

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 Hybrid Meta-heuristic for the Dynamic Layout Problem with Transportation System Design

This paper primarily presents a comprehensive dynamic layout design model which integrates layout and transportation system design via considering more realistic assumptions, such as taking account of fixed-position departments and distance between departments that endanger each other. In addition, specific criteria such as capacity, cost and reliability of facilities are considered in transpor...

متن کامل

Variable Neighborhood Search for Geometrically Deformable Templates

This paper proposes two modifications to the geometrically deformable template model. First, the optimization stage originally based on simulated annealing is replaced with a meta-heuristic called Variable Neighborhood Search that treats simulated annealing as a local search tool. Second, an affine deformation energy is introduced to improve the quality of the search. An example of optic disc s...

متن کامل

Optimization of Minimum Quantity Liquid Parameters in Turning for the Minimization of Cutting Zone Temperature

The use of cutting fluid in manufacturing industries has now become more problematic due to environmental pollution and health related problems of employees. Also the minimization of cutting fluid leads to the saving of lubricant cost and cleaning time of machine, tool and work-piece. The concept of minimum Quantity Lubrication (MQL) has come in to practice since a decade ago in order to overco...

متن کامل

Solving an one-dimensional cutting stock problem by simulated annealing and tabu search

A cutting stock problem is one of the main and classical problems in operations research that is modeled as Lp < /div> problem. Because of its NP-hard nature, finding an optimal solution in reasonable time is extremely difficult and at least non-economical. In this paper, two meta-heuristic algorithms, namely simulated annealing (SA) and tabu search (TS), are proposed and deve...

متن کامل

Heuristic optimization methods for motion planning of autonomous agricultural vehicles

In this paper, two heuristic optimization techniques are tested and compared in the application of motion planning for autonomous agricultural vehicles: Simulated Annealing and Genetic Algorithms. Several preliminary experimentations are performed for both algorithms, so that the best neighborhood definitions and algorithm parameters are found. Then, the two tuned algorithms are run extensively...

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 2007