Simulation of project scheduling through the rule-based coordination in indirect collaboration design

نویسندگان

  • Jinghua Wu
  • Liyi Zhu
  • Hongxiang Xu
چکیده

Product design has become more and more complex in recent years that requires a lot of people from different disciplines to work synergistically. Usually, a large project is necessary to be divided into various subtasks, as different designers in the colla-borative team have diverse abilities for those separated subtasks. It is very important to allocate specific tasks to those who are good at them. However, the present prior task scheduling method cannot meet the requirements. Enlightened by the animal collectives, we think internal coordination can be an effective scheduling method for a large project. We presented a cellular automata (CA) model to simulate the scheduling of complicated project scheduling, defined some basic mathematical definitions by the CA method, developed the coordination rules, and presented a CA algorithm. Practical scheduling simulations of two design projects are presented. The results show that the internal coordination is possible to achieve the global scheduling. Although the oscillations exist during the coordination, the makespan could be converged quickly. After some evaluations, we found that different rules can lead to distinct scheduling results; also the proposed method is suitable for large-scale project scheduling.

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

Developing Robust Project Scheduling Methods for Uncertain Parameters

A common problem arising in project management is the fact that the baseline schedule is often disrupted during the project execution because of uncertain parameters. As a result, project managers are often unable to meet the deadline time of the milestones. Robust project scheduling is an effective approach in case of uncertainty. Upon adopting this approach, schedules are protected against po...

متن کامل

A Simulation-Based Optimization Model for Scheduling New Product Development Projects in Research and Development Centers

a simulation-based optimization approach for the purpose of finding a near-optimal answer can be efficient and effective. In the present paper, first, the mathematical model for the project activity scheduling problem has been presented with a job shop approach. Then, using the Arena 14 software, the simulation model has been designed. Consequently, a numerical example has been solved via runni...

متن کامل

A New Job Scheduling in Data Grid Environment Based on Data and Computational Resource Availability

Data Grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. The heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. Most existing scheduling algorithms in Grids only focus on one kind of Grid jobs which can be data...

متن کامل

A Project Scheduling Method Based on Fuzzy Theory

In this paper a new method based on fuzzy theory is developed to solve the project scheduling problem under fuzzy environment. Assuming that the duration of activities are trapezoidal fuzzy numbers (TFN), in this method we compute several project characteristics such as earliest times, latest times, and, slack times in term of TFN. In this method, we introduce a new approach which we call modif...

متن کامل

Optimization of an energy based bi-objective multi skilled resource investment project scheduling problem

Growing concern in the management of energy due to the increasing energy costs, has forced managers to optimize the amount of energy required to provide products and services. This research integrates an energy-based resource investment project-scheduling problem (RIP) under a multi-skilled structure of the resources. The proposed energy based multi skilled resource investment problem (EB-MSRIP...

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:
  • J. Simulation

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2014