Proactive optimization of toxic waste transportation, location and technology

Max M. Wyman, Michael Kuby

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

Many models of real world problems, such as the toxic waste transportation and location problem, produce solutions that "make the best of a bad situation". Yet in many cases, giving the model better choices with which to work could produce far superior results. We introduce a framework for proactive optimization, defined as identification of the structural parameters within an OR problem that cause optimal solutions to be less than satisfactory, followed by an exogenous search for better options to add to the model. The proactive methodology is illustrated by a multiobjective, mixed-integer, location-allocation model with technology choice variables. A new technology, solar-driven waste detoxification, is compared with toxic waste incineration on three traditionally conflicting criteria: cost, a new risk measure (μg/m3 person hrs), and a new disequity measure (MinMaxSum kg*km). The solar process is found to improve all three objectives considerably. Sensitivity analysis indicates the robustness of the results in terms of cost, risk, and sunlight availability.

Original languageEnglish (US)
Pages (from-to)167-185
Number of pages19
JournalLocation Science
Volume3
Issue number3
DOIs
StatePublished - 1995

Fingerprint

Toxic materials
Optimization
location-allocation model
Location-allocation
Model Choice
Risk Measures
Transportation Problem
Structural Parameters
Location Problem
Costs
detoxification
incineration
cost
Detoxification
Waste incineration
Sensitivity Analysis
sensitivity analysis
Person
Availability
costs

Keywords

  • equity
  • location
  • multiobjective
  • Proactive optimization
  • technology
  • toxic waste

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

Proactive optimization of toxic waste transportation, location and technology. / Wyman, Max M.; Kuby, Michael.

In: Location Science, Vol. 3, No. 3, 1995, p. 167-185.

Research output: Contribution to journalArticle

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