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Article
Publication date: 13 February 2007

Nebil Buyurgan, Lakshmanan Meyyappan, Can Saygin and Cihan H. Dagli

The purpose of this paper is to present the development of an architecture for real‐time routing of automated guided vehicles (AGV) in a random flexible manufacturing system (FMS).

Abstract

Purpose

The purpose of this paper is to present the development of an architecture for real‐time routing of automated guided vehicles (AGV) in a random flexible manufacturing system (FMS).

Design/methodology/approach

AGV routing problem is modeled using an evolutionary algorithm‐based intelligent path planning model, which handles vehicle assignments to material handling requests and makes routing decisions with the objective of maximizing the system throughput. The architecture is implemented on a 3‐layer software environment in order to evaluate the effectiveness of the proposed model.

Findings

The proposed architecture, along with the evolutionary algorithm‐based routing model, is implemented in a simulated FMS environment using hypothetical production data. In order to benchmark the performance of the path planning algorithm, the same FMS model is run by traditional dispatching rules. The analysis shows that the proposed routing model outperforms the traditional dispatching rules for real‐time routing of AGVs in many cases.

Research limitations/implications

Future work includes expanding the scope of the current work by developing and implementing other routing models and benchmarking them against the proposed model on different performance measures.

Originality/value

The implementation of evolutionary algorithms in real‐time routing of AGVs is unique. In addition, due to its modularity, the proposed 3‐layer architecture can allow effective and efficient integration of different real‐time routing algorithms; therefore it can be used as a benchmarking platform.

Details

Journal of Manufacturing Technology Management, vol. 18 no. 2
Type: Research Article
ISSN: 1741-038X

Keywords

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Article
Publication date: 20 April 2010

Mustafa A. Ertem, Nebil Buyurgan and Manuel D. Rossetti

The purpose of this paper is to address the inefficiency in resource allocation for disaster relief procurement operations. It presents a holistic and reconfigurable…

Abstract

Purpose

The purpose of this paper is to address the inefficiency in resource allocation for disaster relief procurement operations. It presents a holistic and reconfigurable procurement auctions‐based framework which includes the announcement construction, bid construction and bid evaluation phases.

Design/methodology/approach

The holistic framework is developed in a way that auctioneers and bidders compete amongst each other in multiple rounds of the procurement auction. Humanitarian organization in disaster locations are considered as auctioneers (buyers) and suppliers are considered as bidders.

Findings

Unique system parameters (e.g. announcement options, priority of items, bidder strategies, etc.) are introduced to represent the disaster relief environment in a practical way. The framework is verified by simulation and optimization techniques using the system characteristics of the disaster relief environment as an input. Based on the parameters and their values, behavioural changes of auctioneers and suppliers are observed.

Originality/value

Combining the three phases of procurement auctions is unique both in the auction literature and in the disaster relief research, and it helps the humanitarian organizations supply the immediate and long‐term requirements in the disaster location more efficiently.

Details

International Journal of Physical Distribution & Logistics Management, vol. 40 no. 3
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 21 October 2011

Mustafa Alp Ertem and Nebil Buyurgan

The purpose of this paper is to address the inefficiency problems in procurement operations in disaster relief logistics which are mainly due to the lack of coordination…

Abstract

Purpose

The purpose of this paper is to address the inefficiency problems in procurement operations in disaster relief logistics which are mainly due to the lack of coordination among less organized suppliers and partnerships. Such problems lead to poor responsiveness and hinder timely procurement of required goods.

Design/methodology/approach

An auction‐based framework for procurement of goods, which is suitable for a single coordinating platform in disaster relief logistics, is proposed. Integer programming formulations are used in auctioning operations. A simulation model that generates problem instances is used to evaluate and tune system‐level design parameters.

Findings

Design parameters greatly affect the behaviour and responsiveness of the system and the performance of the auction‐based framework in different problem instances. Combinations of those parameters may allow suppliers with limited capacities to become more involved in the bidding process. In addition, the procurement shares of bidders may change substantially with different values of the parameters.

Research limitations/implications

Even though the presented framework is inspired from real‐life applications, it is not implemented in real‐life disaster relief operations. The goodness of fit for the framework would best be evaluated by a real disaster case. In addition, transportation scheduling and vehicle routing considerations and budgeting issues are not considered in the framework.

Originality/value

This paper presents an auction‐based framework for less organized suppliers of goods and their partnerships, such as local humanitarian organizations, private companies, and standby partners. The presented framework offers a background for coordination during disaster relief operations which provides opportunities to act as a set of organized entities. This background also helps those entities coordinate their efforts to enhance the capabilities of local governments and NGOs.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. 1 no. 2
Type: Research Article
ISSN: 2042-6747

Keywords

Content available
Article
Publication date: 30 September 2014

Abstract

Details

Journal of Manufacturing Technology Management, vol. 25 no. 8
Type: Research Article
ISSN: 1741-038X

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