The Master Production Scheduling Model for Buyer and Vendor Based on Bargaining Game

2013 ◽  
Vol 860-863 ◽  
pp. 3073-3077
Author(s):  
Bao Lin Zhu ◽  
Shou Feng Ji
Keyword(s):  
Nash Equilibrium ◽  
Production Scheduling ◽  
Integrated Management ◽  
Bargaining Game ◽  
Model Based ◽  
Master Production Scheduling ◽  
Scheduling Model ◽  
Simulation Results

Master production scheduling plays an important role in planning levels. The scheduling without coordination will lead to an unsatisfied result. In this paper, the master production scheduling model based on bargaining game between buyer and vendor is established to realize integrated management. The improved solution of Nash equilibrium is achieved by the bargaining game. The simulation results verified the model and algorithms effectiveness.

Steelmaking-Hot Rolling Scheduling Model and Method for Integrated Management in Iron and Steel Enterprises

2013 ◽  
Vol 860-863 ◽  
pp. 3094-3099 ◽  
Author(s):  
Bao Lin Zhu ◽  
Shou Feng Ji
Keyword(s):  
Production Scheduling ◽  
Integrated Management ◽  
Steel Production ◽  
Optimal Solution ◽  
Scheduling Problems ◽  
Planning And Scheduling ◽  
Iron And Steel ◽  
Scheduling Model ◽  
General Production ◽  
Iron And Steel Production

Iron and steel production scheduling problems are different from general production scheduling in machine industry. They have to meet special demands of steel production process. The CCR production manner dramatically promotes the revolution in technology and management, especially to planning and scheduling. In this paper, a scheduling model is presented to integrate the three working procedures and the lagrangian relaxation technology is proposed to get the optimal solution of the scheduling model. Finally, numerical examples are given to demonstrate the effectiveness of the integrated model and method.

The Open System for Master Production Scheduling

2010 ◽  
Vol 1 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Hyoung-Gon Lee ◽  
Edmund W. Schuster ◽  
Stuart J. Allen ◽  
Pinaki Kar
Keyword(s):  
Open System ◽  
Production Scheduling ◽  
Business Process Reengineering ◽  
State Of The Art ◽  
Process Reengineering ◽  
Packaged Software ◽  
Master Production Scheduling ◽  
Software Packages ◽  
Scheduling Model ◽  
Local Computer

Commonly provided by ERP vendors, master production scheduling (MPS) systems often strive to meet the needs of a large user base while limiting software functionality. Subsequently, business process reengineering becomes the means for firms to adapt to MPS software packages. This article develops a flexible approach for MPS delivery as an alternative to packaged software. The article examines the general case of open system architecture to deliver a specific master scheduling model to end-users. The open system approach fulfills a goal to standardize and speed the process of modeling in practice by creating a supply network for mathematical models that is searchable across the Internet with precision. The value lies on quickly putting state-of-the-art modeling in the hands of many users with no local computer implementation other than downloading an Excel spreadsheet.

A Multi-Enterprise Dynamic Scheduling Model Based on Multi-Agent System

2011 ◽  
Vol 474-476 ◽  
pp. 2020-2025
Author(s):  
Jing Hua Zhao ◽  
Jie Lin
Keyword(s):  
Production Scheduling ◽  
Ant Colony Algorithm ◽  
Dynamic Scheduling ◽  
Partial Information ◽  
Status Quo ◽  
Multi Agent System ◽  
Model Based ◽  
Scheduling Model ◽  
The Status ◽  
Multi Agent

The coordination of multi-enterprise production scheduling with partial information sharing is important in supply chain management. This paper proposes a multi-enterprise scheduling model based on ant colony algorithm. The model managed by agents and the enterprises interact with each other to evaluate the schedules, and build new schedules if any other enterprise is unsatisfied with the status quo. This process will repeat until all enterprises are satisfied with the schedules. Finally, the paper takes an example shows that the algorithm is effective and feasible.

Parallel Scheduling Algorithms Investigation of Support Strict Resource Reservation from Grid

2014 ◽  
Vol 519-520 ◽  
pp. 108-113 ◽  
Author(s):  
Jun Chen ◽  
Bo Li ◽  
Er Fei Wang
Keyword(s):  
Parallel Computing ◽  
Resource Utilization ◽  
Scheduling Algorithm ◽  
Scheduling Algorithms ◽  
Resource Reservation ◽  
Parallel Scheduling ◽  
Scheduling Model ◽  
Computing Grid ◽  
Simulation Results ◽  
Reservation Request

This paper studies resource reservation mechanisms in the strict parallel computing grid,and proposed to support the parallel strict resource reservation request scheduling model and algorithms, FCFS and EASY backfill analysis of two important parallel scheduling algorithm, given four parallel scheduling algorithms supporting resource reservation. Simulation results of four algorithms of resource utilization, job bounded slowdown factor and the success rate of Advanced Reservation (AR) jobs were studied. The results show that the EASY backfill + firstfit algorithm can ensure QoS of AR jobs while taking into account the performance of good non-AR jobs.

Research on Production Scheduling Method and the Application in Switch Machine Production Enterprise

2012 ◽  
Vol 190-191 ◽  
pp. 156-159
Author(s):  
Jian Qing Chen
Keyword(s):  
Production Scheduling ◽  
Product Configuration ◽  
Production Schedule ◽  
Material Requirements Planning ◽  
Enterprise Informatization ◽  
Order Processing ◽  
Master Production Scheduling ◽  
Sales Forecasts ◽  
Planning Methods ◽  
Scheduling Method

This paper is under the research background of a switch machine production enterprise informatization projects, and the production schedule is mainly based on customer orders and sales forecasts. This paper mainly studies the combination of similar order processing sheets according to the similarity of types and specifications of products in an order processing sheet, and the experience of master production scheduling personnel, to generate the master production scheduling methods and techniques. Finally, studies the material requirements planning methods based on nested components, focusing on the configuration of parts and components of such products in the product configuration.

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