Marasini, R and Dawood, N (2002) Integration of genetic algorithms and simulation for stockyard layout planning. In: Greenwood, D (ed.) Proceedings of 18th Annual ARCOM Conference, 2-4 September 2002, Northumbria, UK.
Abstract
This paper describes the development of a process simulation model and integration of the Genetic Algorithms (GA) with the model as optimisation techniques using a case study of stockyard layout planning in precast concrete products industry. Genetic algorithms have been used for two purposes: firstly, to identify clusters of concrete products by analysing sales historical data such that frequently ordered products are grouped together; and secondly, to identify the allocation of the identified clusters to the storage locations. The simulation model was developed in ARENA (simulation software) which evaluates stockyard layout scenarios with different spatial layouts and different allocation of products to storage locations. The evaluation parameters include throughput time for loading and dispatch of the products to service customer orders, queuing and waiting times of lorries and cost of loading and dispatch of the products in the stockyard. The genetic algorithms are used to identify the best allocation of products to storage locations by evaluating the objective function values such as throughput time. The finding from the experiments conducted using a case study are presented and discussed.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | cluster analysis; genetic algorithm; simulation; stockyard layout |
| Index terms: | loading, precast concrete, integration, cluster analysis, experiment, case study, genetic algorithm, process simulation, optimization technique |
| Subjects: | algorithms, management, organizational analysis, data collection methods, construction operations, data analysis and analytics, building materials |
| Topics: | Digital Applications, Site Management, Organizational Design, Construction Materials, Research Practice, Business Strategy |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here