Design and analysis of optimal material distribution policies in flexible manufacturing systems using a single AGV

Veeravalli, Bharadwaj; Rajesh, G.; Viswanadham, N.

doi:10.1080/00207540210137648

Cited by 17 publications

(8 citation statements)

References 17 publications

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“…As a matter of fact, manufacturing organisations need new approaches to control their manufacturing activities in such a dynamic and competitive environment. As a result in the late 20th century, flexible production systems emerged in order to manufacture medium-sized products (Veeravalli et al, 2002;Wang and Deng, 1999;Jerald et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Proposing a new mathematical model and a meta-heuristic algorithm for scheduling and allocating automated guided vehicle

Aghili

Sajadi

Tavakoli

2018

IJMOR

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Section: Introductionmentioning

confidence: 99%

Proposing a new mathematical model and a meta-heuristic algorithm for scheduling and allocating automated guided vehicle

Aghili

Sajadi

Tavakoli

2018

IJMOR

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“…Esnek üretim sistemleri, 20. Yüzyılın sonlarına doğru rekabet edebilirliği oldukça yüksek bir üretim stratejisi olarak ortaya çıkmış ve geleneksel üretim sistemlerine göre orta çeşitlilik ve büyüklükteki ürünlerin üretilebileceği en uygun yol olarak kendini göstermiştir [1][2][3]. Esnek üretim sistemlerinde üretilen ürünleri, müşteriye rekabetçi piyasa koşulları altında zamanında teslim etmek çok önemlidir.…”

Section: Introductionunclassified

Dinamik Teslim Zamanı Atama Problemi için Holonik Sistem Tasarımı

Şahin¹

2016

Çukurova Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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ÖzetTeknolojide yaşanan hızlı ilerlemeler, müşteri isteklerindeki değişiklikler ve nispeten daha kısa ürün yaşam döngüsü üretim sistemlerini daha doğru teslim zamanları vermeye zorlamaktadır. Bu amaçla, üretim sistemlerinin performansını ve değişen müşteri isteklerine yanıt verme kalitesini geliştirmek için akademide ve endüstride birçok çalışma gerçekleştirilmiştir. Bu çalışmada, esnek bir üretim sistemi içerisinde gelen siparişlere teslim zamanı atayan etmen tabanlı holonik bir kontrol yapısı tasarımı önerilmiştir. Önerilen sistem dinamik bir ortamda çalışmaktadır ve atanan teslim zamanları etmenler arasındaki müzakereler sonucunda elde edilmektedir.Anahtar Kelimeler: Teslim zamanı atama problemi, Holonik üretim sistemi, Çoklu-etmen sistemi Holonic System Design for Dynamic Due Date Assignment Problem AbstractRapid advances in technology, changes in customer demand and relatively short product life cycles force production systems to give a more accurate due dates. For this purpose, many studies were carried out in academia and industry to improve the performance and the quality of production systems to respond to changing customer requirements. In this study, an agent-based holonic control structure design that assigns the due dates for incoming orders in a flexible production system is proposed. The proposed system is working under a dynamic environment and assigned due dates are obtained as a result of negotiations between the agents.

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“…Scheduling and dispatching AGVs in manufacturing systems has been the subject of significant research since the mid-1990s, with various heuristic dispatching rules developed for single-load AGVS (e.g., Hoff and Sarker 1998, Seifert et al 1998, Jeong and Randhawa 2001, Yamashita 2001, Veeravalli et al 2002, Abdelmaguid et al 2004, de Koster et al 2004. When a workstation sends a pick-up request to the control system and several AGVs are idle, a workstation-initiated rule is applied to select an AGV.…”

Section: Introductionmentioning

confidence: 99%

Effect of manufacturing system constructs on pick-up and drop-off strategies of multiple-load AGVs

Lee

Srisawat

2006

International Journal of Production Research

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This research investigates the interaction between manufacturing system constructs and the operation strategies in a multiple-load Automated Guided Vehicle System (AGVS) when AGVs in a system can carry two or more loads. The load pick-up problem arises when an AGV stops at a pick-up queue and has to decide which part(s) in the queue should be picked up. Since an AGV can carry multiple loads, a drop-off rule is then needed to determine the next stop for the AGV to deliver one or more loads. Several real-time composite heuristic rules for selecting load and determining the next stop are proposed and evaluated in two manufacturing system constructs: the jobshop and the flexible manufacturing system (FMS). A number of simulation models are developed to obtain statistics on various performance measures of the two system constructs under different experimental conditions. The simulation results reveal that the pick-up rules affect the system more than the drop-off rules. In general, rules to avoid starving and blocking in workstations perform better than the rules for shortest distance in throughput. However, the rules perform differently in jobshop and FMS based on other performance measures, indicating an interaction between system constructs and load selection strategies. The difference in rule performance within the same construct is also affected by several AGVS design parameters. Overall our study suggests that no load pick-up rule is always a champion, and the design of an efficient multiple-load AGVS must consider all issues in a global fashion.

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Design and analysis of optimal material distribution policies in flexible manufacturing systems using a single AGV

Cited by 17 publications

References 17 publications

Proposing a new mathematical model and a meta-heuristic algorithm for scheduling and allocating automated guided vehicle

Proposing a new mathematical model and a meta-heuristic algorithm for scheduling and allocating automated guided vehicle

Dinamik Teslim Zamanı Atama Problemi için Holonik Sistem Tasarımı

Effect of manufacturing system constructs on pick-up and drop-off strategies of multiple-load AGVs

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