Optimal Part Family and Production Module Planning for Reconfigurable Manufacturing Systems

2006 ◽  
Author(s):  
Jian Liu ◽  
Derek M. Yip-Hoi ◽  
Wencai Wang ◽  
Li Tang
Keyword(s):  
Manufacturing Systems ◽  
Optimization Procedure ◽  
Cost Effective ◽  
System Level ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Market Demand ◽  
Individual Module ◽  
Reconfiguration Planning ◽  
And Performance

Manufactures are adopting Reconfigurable Manufacturing Systems (RMS) to better cope with frequently changing market conditions, which place tremendous demands on a system’s flexibility as well as its cost-effectiveness. Considerable efforts have been devoted to the development of necessary tools for the system level design and performance improvement, resulting in approaches to designing a single RMS. In this paper, a methodology for cost-effective reconfiguration planning for multi-module-multi-product RMS’s that best reflect the market demand changes is proposed. Formulated as an optimization procedure, reconfiguration planning is defined as the best reallocation of part families to production modules in an RMS and the best rebalancing of the whole system and each individual module to achieve minimum related cost and simultaneously satisfy the market demand. A Genetic Algorithm (GA) approach is proposed to overcome the computational difficulties caused by the problem complexity. Effectiveness of the proposed methodology is demonstrated with a case study.

Capacity Management in Reconfigurable Manufacturing Systems With Stochastic Market Demand

Manufacturing ◽  
2002 ◽  
Author(s):  
Farshid Maghami Asl ◽  
A. Galip Ulsoy
Keyword(s):  
Inventory Control ◽  
Manufacturing Systems ◽  
Optimal Solution ◽  
Capacity Management ◽  
Management Problem ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Market Demand ◽  
Management Scenario ◽  
Stochastic Market

An optimal solution, based on Markov Decision Theory, is presented for the capacity management problem in Reconfigurable Manufacturing Systems with stochastic market demand with a time delay between the time capacity change is ordered and the time it is delivered. The optimal policy in this paper is presented as optimal boundaries representing the optimal capacity expansion and reduction levels. The effects of change in the cost function parameters and the delay time on the optimal boundaries are presented for a capacity management scenario. The major differences between this research and the ones in inventory control lie in two folds. One is the fact that unlike inventory, capacity levels can be reduced according to the market demand. The other one is the novel approach presented in this paper to solve the delay problem which unlike the inventory control does not account for the cumulative unmet demand as a decision factor.

Performance analysis and measurement of reconfigurable manufacturing systems

2014 ◽  
Vol 25 (7) ◽  
pp. 934-957 ◽  
Author(s):  
Ibrahim H. Garbie
Keyword(s):  
Performance Analysis ◽  
Performance Measurement ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Relative Weight ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Market Demand ◽  
System Productivity ◽  
Content Type

Purpose – The purpose of this paper is to propose a new performance analysis and measurement regarding reconfigurable manufacturing systems (RMS) taken into consideration new circumstances which include changes in the market demand, changes in a product design, and/or introduction of a new product. As the reconfiguration process is applied to a manufacturing system to improve the system's performance due to new circumstances, the RMS process has potential quantitative and qualitative measures. Design/methodology/approach – The manufacturing system has a great impact on the performance measurement and the selection of the objectives to measure the performance is very important. These objectives include the critical requirements for a RMS and they are as follows: product cost, manufacturing response, system productivity, people behavior, inventory, and quality of the finished products. Because each criterion measure in a RMS is a potential source of evaluation, it should have a relative weight with respect to the other measures. First, each criterion will be measured individually. Second, these measures need to be evaluated through an aggregate quantitative metric because there is a lack of analytical techniques to analyze and evaluate both qualitative and quantitative measures. Findings – Performance evaluation of a RMS from one circumstance to another is highly desired by using the new quantitative metric regarding updating (upgrading) the system for the next period based on the previous one. The results show that the applicable of using this new technique in evaluating the RMS. The results also support the new quantitative metric. Originality/value – The suggestion of a new aggregate performance measurement metric including the all potential objectives is highly considered. This paper provides an insight into each objective individually to measure it. It is also used from 0 to 1 as range of measure to evaluate the potential and aggregate metrics toward next reconfiguration with respect to the existing one.

Assembly System Reconfiguration Planning Using Genetic Algorithm

2008 ◽  
Author(s):  
A. Bryan ◽  
S. J. Hu ◽  
Y. Koren
Keyword(s):  
Genetic Algorithm ◽  
Manufacturing Systems ◽  
Cost Effective ◽  
New Product ◽  
Assembly System ◽  
Assembly Systems ◽  
Reconfigurable Manufacturing ◽  
Product Families ◽  
System Reconfiguration ◽  
Reconfiguration Planning

Due to increased competition, the rate at which manufacturers introduce new product families to the market is increasing. However, the cost of changing manufacturing facilities to produce new product families can outweigh the benefits obtained from increased revenue. Reconfigurable Manufacturing Systems (RMSs) have been proposed as a cost effective strategy for manufacturing product families. Although methods for measuring RMS scalability and convertibility exist, there is a lack of methods for obtaining reconfiguration plans for assembly systems. This paper introduces assembly system reconfiguration planning (ASRP) as method to obtain reconfiguration plans for assembly systems. A genetic algorithm is developed for solving the ASRP problem.

Quality, Reliability and Maintenance (Q, R & M) Issues in Reconfigurable Manufacturing Systems (RMS)

2011 ◽  
Vol 110-116 ◽  
pp. 1442-1446 ◽  
Author(s):  
Dodla Srikanth ◽  
M. S. Kulkarni
Keyword(s):  
Manufacturing Systems ◽  
Production Capacity ◽  
Cost Effective ◽  
Life Cycles ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
New Variety ◽  
Machine Reliability ◽  
Maintenance Plan

Reconfigurable Manufacturing Systems (RMS) have the potential to emerge as a cost effective solution that will help manufacturing organizations to stay competitive in an environment where product mix changes frequently and product life cycles are getting shorter. Reconfigurable Manufacturing Systems can achieve this as they are designed for quick changes in its configuration, as well as software and hardware components. This not only helps in accommodating production capacity but also production of new variety of products and introduction of new product within part family. However, the configurations have a significant impact on the productivity and reliability of the machines and the manufacturing system. In the present paper, the main objective is to present a framework consisting of Maintenance plan to be followed for the reconfigured machine, Reliability of the reconfigured machine, Quality of the product obtained. This framework can form as the basic idea and a link between maintenance, reliability and quality issues.

An AI-Based Computer-Aided Reconfiguration Planning Framework for Reconfigurable Manufacturing Systems

2004 ◽  
Author(s):  
Li Tang ◽  
Derek M. Yip-Hoi ◽  
Yoram Koren ◽  
Wencai Wang
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Graph Searching ◽  
Planning Decisions ◽  
Path Graph ◽  
Searching Strategy ◽  
Computer Aided ◽  
Reconfiguration Planning

The manufacturing industry today faces a highly volatile market in which manufacturing systems must be capable of responding rapidly to market changes while fully exploiting existing resources. Reconfigurable manufacturing systems (RMS) are designed for this purpose and are gradually being deployed by many mid-to-large volume manufacturers. The advent of RMS has given rise to a challenging problem, namely, how to economically and efficiently reconfigure a manufacturing system and the reconfigurable hardware within it so that the system can meet new requirements. This paper presents a solution to this problem that models the reconfigurability of a RMS as a network of potential activities and configurations to which a shortest path graph-searching strategy is applied. The A* algorithm is employed to perform this search for the reconfiguration plan and reconfigured system that best satisfies the new performance goals. This search engine is implemented within an AI-based Computer-Aided Reconfiguration Planning (CARP) framework, which is designed to assist manufacturing engineers in making reconfiguration planning decisions. Two planning problems serve as examples to prove the effectiveness of the CARP framework.

scholarly journals Critical Analysis of Scalability of Reconfigurable Manufacturing Systems

2021 ◽  
pp. 140-148
Author(s):  
Zhu Jiping
Keyword(s):  
Critical Analysis ◽  
Manufacturing Systems ◽  
Systems Design ◽  
Cost Effective ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Manufacturing Systems Design ◽  
Research Contribution ◽  
Engineering Firms ◽  
Product Specification

Due to the rapidly increasing industrial competition in the globe, it has now become fundamental of engineering firms to implement fundamental industrial approaches, which promptly and reliably focusses on sudden transformation of the design of engineered products. Emergent strategies, which might allow forms to cope up with the quickly transforming changes of product specification is centered on Reconfigurable Manufacturing Systems (RMSs). This research contribution discusses the significance of the presently available scalable Manufacturing Systems (MSs) that allows engineering firms to meet the demands of the market quickly. RMSs have to be designed on the outset of the futuristic scalability to allow its cost-effective and prompt expansion according to the demands of the globe. As such, this research contribution provides the principles to given manufacturing systems’ design to enhance scalability.

Sign in / Sign up

Export Citation Format

Share Document