4TH OPERATIONS RESEARCH

CONFERENCE (Qld)

 

 

USQ, Toowoomba, Australia                                           20 April 2001

 

Editors:  Mehryar Nooriafshar, Erhan Kozan & Peter Wark

 

ISBN: 0 909 756 430

 

Paper and Poster Abstracts

 

 

 

 

THE APPLICABILITY OF OPERATIONS RESEARCH TO YOUR SUPPLY CHAIN

 

 

Vince Aisthorpe

Supply Services Manager

Brisbane City Council

cpims@brisbane.qld.gov.au

 

 

 

 

ABSTRACT

 

After a successful 23 year career in Supply/Logistics with the Royal Australian Air Force, Vince spent 3 years as a Senior Logistics Consultant with the Symonds Henderson office in Brisbane.   For the past two years he has been the Supply Services Manager for one of the world’s largest local government authorities, the Brisbane City Council.   As well as this he is the president of the Queensland Division of the Logistics Association of Australia, a position he has held for three years.

 

In his short presentation, Vince will describe Brisbane City Council’s Supply Chain strategy and provide a practitioners view of some of the Operations Research techniques utilised by Council to enhance and develop this strategy.  He will highlight problems and successes with the various techniques utilised. 

 

Finally, Vince will highlight the difficulties associated with the role of the Logistics Association, particularly in relation to attracting and retaining membership, influencing government and educational institutions and attracting “the young” to a career in Logistics and endeavour to compare them with the ASOR.   

 

 

THE NEW DIRECTION OF OPERATIONS RESEARCH IN AUSTRALIA

 

Erhan Kozan

Operations Research and Decision Science Group

School of Mathematical Sciences

Queensland University of Technology

GPO Box 2434 Brisbane Qld. 4001 Australia

e.kozan@qut.edu.au

 

ABSTRACT

 

A general spectrum of operations research in Australia is provided in this paper. In this sense, the followings is highlighted: The Australian Society for Operations Research Inc. (ASOR); OR carrier and employment; OR applications and cases; and a survey on the direction of OR.

 

 

SUPPLY CHAIN MODELING, AN OVERVIEW OF PRACTICE AND METHODOLOGY

 

 

H T Burley,

School of Business, La Trobe University

Victoria, 3086

Fax: (03) 94791654

h.burley@latrobe.edu.au

 

 

 

ABSTRACT

 

This paper views the essential elements of effective supply chain modelling as being the timely and accurate communication (about final demand) between the echelons, and optimisation considering the supply chain as a whole.  The objective is to ensure that real-world supply chain is responsive and agile (but not over-responsive) to changes in final demand volume and in desired final product characteristics. A modeller’s view is taken of classifying and evaluating developments in supply chain methodology.  Value is seen in drawing the attention of supply chain modellers to the requirements (of a core solution) in the analogous n-person (super-additive) game theoretic model. Supply chain echelons must, in fact, be able and be motivated to behave as the postulated supply chain views them to operate as actors in the virtual organisation.  Additionally the culture of commercial and legal relationships (relating to fairness and equity between the links) is a very important determinant in the resolution of optimality in the global chain.

 

 

Keywords: supply-chain management, inventories, modelling

 

 

INTEGRATED ITERATIVE ALGORITHMS FOR SEAPORT TERMINALS

 

Peter Preston and Erhan Kozan

Operations Research and Decision Science Group

School of Mathematical Sciences

Queensland University of Technology

GPO Box 2434 Brisbane Qld. 4001 Australia

p.preston@qut.edu.au

e.kozan@qut.edu.au

 

 

 

ABSTRACT

 

This paper models the sea port system with the objective of determining the optimal storage strategy and container-handling schedule.  It presents an iterative search algorithm that integrates a Container Transfer Model (CTM) with a Container Location Model (CLM) in a cyclic fashion to determine both optimal locations and corresponding handling schedule.  The results section presents and analyses of different resource levels and a comparison with current practise at the Port of Brisbane.

 

Key Words: scheduling, heuristics, containers, seaports.

 

 

THE APPLICATION OF RESOURCE CONSTRAINED SEQUENCING AND

SCHEDULING SOLUTION TECHNIQUES FOR A PARTICULAR

MIXED MODEL ASSEMBLY PROCESS

 

Robert Burdett and Erhan Kozan

Operations Research and Decision Science Group

School of Mathematical Sciences

Queensland University of Technology

GPO Box 2434 Brisbane Qld. 4001 Australia

burdett@fsc.qut.edu.au

e.kozan@qut.edu.au

 

 

ABSTRACT

 

This paper researches the implementation and execution of heuristic solution techniques for solving the large sized resource allocation, sequencing and scheduling problem within a particular mixed-model assembly (MMA) process.  Due to the exact nature and size of this industrial problem modifications and improvements have been made to previously developed algorithms.  First and foremost is a decomposition approach which allows successively larger simplified sub-problems to be solved until the full sized problem can be solved in entirety.  At this approach is the use of previously obtained  simplified sub problem solution which are then used as the basis for generating starting solution to the next larger sub-problem instance.

 

Key Words: flowshop sequencing and scheduling, mixed-model assembly, heuristics

 

 

A GENERIC SCHEDULING MODEL FOR OBJECT-ORIENTED IMPLEMENTATION OF APPLICATION SPECIFIC CONSTRAINTS

 

Paul Corry and Erhan Kozan

Operations Research and Decision Science Group

School of Mathematical Sciences

Queensland University of Technology

GPO Box 2434 Brisbane Qld. 4001 Australia

p.corry@qut.edu.au

e.kozan@qut.edu.au

 

 

 

ABSTRACT

 

Many scheduling problems that arise in industry have additional constraints specific to that industry. Any scheduling methodologies developed must be highly customised to deal with the industry specific constraints.  Alternatively, industry constraints can be embedded into standard scheduling constraints already present in classical models.  In this approach, a set of industry constraints can be interchanged with another industry constraints without modifying the scheduling methodologies.  This study proposes a model that fulfils these aims.  The methodologies are demonstrated by the production scheduling problems of Toowoomba Foundry.

 

Key Words: scheduling, jobshop, metaheuristics.

 

 

HOW ABOUT TOMORROW? OPTIMAL PROCRASTINATION AND THE IMPLICATIONS FOR DELAY IN SUBMITTING TO CONFERENCES

 

Stuart McDonald , Rodney Beard and Tim Purcell

School of Economics

University of Queensland

St. Lucia, Qld 4072.

s.mcdonald@mailbox.uq.edu.au

 r.beard@economics.uq.edu.au

 mailto:t.purcell@mailbox.uq.edu.au

 

ABSTRACT

 

In these times of academic stress in which one’s time budget is a binding constraint, procrastination and delay may be an optimal response to dead lines

imposed by conference organizers. We formulate a model of optimal procrastination using optimal stopping theory. Whilst the date of the conference is known and the “soft” deadline is also known by the authors of the paper, the “hard” deadline for the publication of the conference proceedings and program is only known by the organizers. Organizers possess a lower and upper bound on the numbers of participants that is determined by the budget by their budget and the capacity of the conference venue. The authors would like to submit papers as late as possible subject to these constraints. The question this paper attempts to address is “What is the optimal period of procrastination for the authors?”

 

 

Keywords: Optimal stopping and Markov Decision Theory, Renewal Theory, The Economics of Academic Skulduggery.

 

 

 

 

Managers Must Model: - The use and abuse of spreadsheets.

 

Ray Fairfield

Faculty of Business,

University of Southern Queensland.

Toowoomba, Q4350

Fairfiel@usq.edu.au

 

Abstract:

 

The expanding capability of spreadsheet packages, and their ubiquity in business, is encouraging managers to use them for modelling applications for which they are perhaps not best suited.  Modelling activity of any sort must be encouraged, but managers should be informed that there are better tools than spreadsheets.

 

 

MODELLING WARRANTY COST FOR USED PRODUCTS WITH OVERHAULING BEFORE SALE

 

G. Chattopadhyay

Department of Mechanical, Manufacturing and Medical Engineering

Queensland University of Technology

Brisbane Q 4000, Australia

Fax (617) 3864 2442

g.chattopadhyay@qut.edu.au

 

 

 

ABSTRACT

 

Often, the dealer decides to overhaul used products before sale. It improves the potential for sale since the product becomes more reliable after improvement and, as a result, the dealer can offer better warranty terms. Any improvement action costs money but reduces the expected warranty cost. The overhaul is worthwhile only if the cost of improvement is less than the resulting reduction in the expected warranty cost. This paper deals with development of models to determine the optimal overhaul action by dealer before sale of second-hand products with free replacement warranty (FRW) policy.

 

 

KEY WORDS: Warranty Cost, Overhaul, Used Product

 

 

 

QUANTUM SIMULATION – PARALLEL SIMULATION WITH CLONING

AND THINNING

 

Ron Addie

University of Southern Queensland, Toowoomba, Australia;

Telephone: +61 7 46 31 5520, Fax: +61 7 46 31 5550

addie@usq.edu.au

 

 

 

ABSTRACT

 

A new method of rare event simulation, termed quantum simulation is introduced. The term quantum simulation is used here for this simulation method because the entire ensemble of simulations resembles the parallel universes model of quantum mechanics. Quantum simulation is a variation on the well established class of simulation methods known as importance splitting. A general formula for an unbiased estimator of any quantity in a quantum simulation is derived.  Also, a formal proof that importance splitting is a special case of quantum simulation is presented.

 

Keywords: Importance Splitting, Simulation.

 

 

 

RANDOM SEARCH AS A SOLUTION PROCEDURE

FOR OPTIMAL STOCHASTIC CONTROL PROBLEMS

 

 

Rodney Beard

School of Economics

University of Queensland

St. Lucia 4072, Australia

r.beard@mailbox.uq.edu.au

 

 

 

ABSTRACT

 

In this paper,  I survey a number of techniques for numerical solution of continuous-time optimal stochastic control problems. Random search combined

with based. Monte-Carlo diffusion is suggested as an alternative means of breaking the curse of dimensionality compared to random and quasi-random multi-grid techniques using Markov chain approximation.

 

Keywords: Random Search, Metaheuristics, Stochastic Control

 

 

 

POSSIBLE IMPLICATIONS OF IMPROVING SUPPLY CHAIN MANAGEMENT FOR REGIONAL COMMUNITIES

 

 

 

Mehryar Nooriafshar, John Searle and Richard Temple Smith

Department of Economics and Resources Management

University of Southern Queensland

Toowoomba, Qld 4350

Mehryar@usq.edu.au

Searl@usq.edu.au

temple@usq.edu.au

 

 

 

ABSTRACT

 

Responsibility for the decline of rural and regional communities in Australia and elsewhere over the last 30 years has been placed widely. Politicians have blamed globalisation and other factors presumably beyond their control. Sociologists and, to some extent, economists have blamed the decline on the draw provided by metropolitan areas to the ‘generation x’ and other members of these rural and regional communities.

 

However, improvements in the operating efficiency of firms particularly in the management of supply chains has clearly been accompanied by rationalisation of distribution and other business networks that have traditionally been located in regional areas. This process of rationalising regional business activity has in turn extensively impacted upon the viability of rural and regional communities. Improved management of supply chains is likely to continue to erode the capacity of rural and regional communities to function effectively as integral components of the wider community.

 

Key words: Supply Chain Management; rural and regional communities; social, economic and environmental sub-systems; economic efficiency; digital divide; intermediation; self-interest; collective good; political economy.

 

 

Supply Chain Management and Operations Research: The Future

 

Tom Rafferty

University of Southern Queensland

Toowoomba, Qld 4350

Rafferty@usq.edu.au

&

tom@sto.au.com

 

 

ABSTRACT

 

There has never been a better opportunity to advance the discipline of OR than that presented by the changing attitudes to Supply Chain Management in the business community. For organisations to truly achieve all the benefits of SCM, OR is prerequisite.   Many Australian businesses do not understand the fundamentals of some very basic techniques in fields such as inventory management, forecasting, network design, etc.  The Internet revolution has provided many solutions, but posed at least as many problems and exposed many weaknesses. The translation of strategy to tactics and tactics to operations are areas of considerable weakness. This is exacerbated by the lack of understanding of OR techniques and the absence of their application, in far too many companies.  SCM will not succeed without OR, unfortunately, this has still to become a “self-evident truth” for many firms. This paper addresses the future of SCM and the role that OR must play if organisations are to realise the benefits of SCM.

 

Key Words: Operations Research, Supply Chain Management, Strategy

 

 

EFFECTIVE SUPPLY CHAIN OPTIMISATION

 

 

Phil Dunne, Peter Nicholas, Daniel Stannard

Students in Logistics & Operations Management

C/- Department of Logistics & Operations Management

USQ Toowoomba Qld 4350

pddunne@telstra.com

 

 

 

ABSTRACT (for poster)

 

Collaboration is the key to success. Working together to ensure that the quality of your product meets the consumer’s expectations is a sure-fire way to increase sales and profitability. But there is more to Supply Chain Management than just talking about it: it must be put into practice and it must become an integral part of the way in which you do business. And once you have started managing your supply chain, you then have to optimise it in order to leverage the full benefits of this most basic of business activities. There is enormous potential to be realised by all businesses in focusing on Supply Chain Optimisation with additional emphasis being placed on maximising profits as well as the traditional paradigm of reducing costs.

 

As students of Logistics and Operations Management at USQ, we are disciples of the new era in Supply Chain Optimisation and encourage all businesses to be receptive to advances inherent in effectively managing your supply chain.

 

 

Keywords: Supply Chain Optimisation, Communication, Collaboration.