Applying Differential Evolution to Aggregate Production Planning

نویسنده

  • Ming-Feng Yeh
چکیده

Differential evolution (DE) has become a popular and promising technique in the recent decade. There are many successful applications implemented DE in scientific and engineering fields. However, we rarely found it applying to the field of highly constrained aggregate production planning (APP) problems. Besides, in the course of solving the APP problem, we discover that the most often used DE strategies have unsatisfactory performance to the problem. For alleviating the deficiency, in this paper, we propose an improved DE strategy and a constraint handling mechanism, called the winner-based constraint handling mechanism, for solving the highly constrained APP problem. In the computational study, some instances of the problem are experimented and analyzed to evaluate the performance of the approach with the most often used DE strategies. The experimental results show that the improved DE strategy with the winner-based constraint handling mechanism can provide particular performance for solving the APP problem than other DE strategies.

برای دسترسی به متن کامل این مقاله و 23 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ارائه مدل یکپارچه برنامه‌ریزی تولید ادغامی با هزینه نگهداری و تعمیرات

  One kind of mid-term production system, aggregate production planning, identifies the optimum production plan for each production period. The goal of aggregate production planning is to forecast future demand swings. On the other hand, maintenance system identifies the proper time for preventive maintenance and restrains from break downs and reduces maintenance costs. Due to the importance of...

متن کامل

An Integrated Aggregate Production Planning Model with Two-Phase Production System and Maintenance Costs

Aggregate production planning (APP) is one of the most important issues carried out in manufacturing environments which seeks efficient planning, scheduling and coordination of all production activities that optimizes the company's objectives. In this paper, we develop a mixed integer linear programming (MILP) model for an integrated aggregate production planning system with closed loop supply ...

متن کامل

Adaptive aggregate production planning with fuzzy goal programming approach

Aggregate production planning (APP) determines the optimal production plan for the medium term planning horizon. The purpose of the APP is effective utilization of existing capacities through facing the fluctuations in demand. Recently, fuzzy approaches have been applied for APP focusing on vague nature of cost parameters. Considering the importance of coping with customer demand in different p...

متن کامل

Solving a generalized aggregate production planning problem by genetic algorithms

This paper presents a genetic algorithm (GA) for solving a generalized model of single-item resource-constrained aggregate production planning (APP) with linear cost functions. APP belongs to a class of pro-duction planning problems in which there is a single production variable representing the total production of all products. We linearize a linear mixed-integer model of APP subject to hiring...

متن کامل

A mixed integer linear programming formulation for a multi-stage, multi-Product, multi-vehicle aggregate production-distribution planning problem

In today’s competitive market place, companies seek an efficient structure of supply chain so as to provide customers with highest value and achieve competitive advantage. This requires a broader perspective than just the borders of an individual company during a supply chain. This paper investigates an aggregate production planning problem integrated with distribution issues in a supply chain ...

متن کامل

افزودن به منابع من


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

برای دسترسی به متن کامل این مقاله و 23 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014