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Jennifer Van Sickle - One of the best experts on this subject based on the ideXlab platform.

Frederick C Lynden - One of the best experts on this subject based on the ideXlab platform.

Edgar Scavino - One of the best experts on this subject based on the ideXlab platform.

  • backtracking search algorithm in cvrp models for efficient solid waste Collection and route optimization
    Waste Management, 2017
    Co-Authors: Mahmuda Akhtar, M A Hannan, Rawshan Ara Begum, Hassan Basri, Edgar Scavino
    Abstract:

    Waste Collection is an important part of waste management that involves different issues, including environmental, economic, and social, among others. Waste Collection optimization can reduce the waste Collection Budget and environmental emissions by reducing the Collection route distance. This paper presents a modified Backtracking Search Algorithm (BSA) in capacitated vehicle routing problem (CVRP) models with the smart bin concept to find the best optimized waste Collection route solutions. The objective function minimizes the sum of the waste Collection route distances. The study introduces the concept of the threshold waste level (TWL) of waste bins to reduce the number of bins to be emptied by finding an optimal range, thus minimizing the distance. A scheduling model is also introduced to compare the feasibility of the proposed model with that of the conventional Collection system in terms of travel distance, collected waste, fuel consumption, fuel cost, efficiency and CO2 emission. The optimal TWL was found to be between 70% and 75% of the fill level of waste Collection nodes and had the maximum tightness value for different problem cases. The obtained results for four days show a 36.80% distance reduction for 91.40% of the total waste Collection, which eventually increases the average waste Collection efficiency by 36.78% and reduces the fuel consumption, fuel cost and CO2 emission by 50%, 47.77% and 44.68%, respectively. Thus, the proposed optimization model can be considered a viable tool for optimizing waste Collection routes to reduce economic costs and environmental impacts.

Mary Kelly - One of the best experts on this subject based on the ideXlab platform.

Glen J Kelly - One of the best experts on this subject based on the ideXlab platform.

  • using an economic development approach to improve Budget forecasting techniques Collection allocation methods and library Budgeting decisions
    The Acquisitions Librarian, 1991
    Co-Authors: Glen J Kelly
    Abstract:

    This article focuses on library funding patterns, forecasting and Collection Budget allocation methods. The inadequacy of previous forecasting models and allocation formula used at Laurentian are detailed. The importance of using different techniques for forecasting and allocating in times of decreasing or static Collection Budgets are emphasized. The implications and impact of outside government or agency funding on library Budget allocations and planning decisions are examined. The author concludes that:( 1) Ascertaining trends or cycles in government or agency funding can lead to an improved method of forecasting future library Collection Budgets; (2) Collection development methods and allocation formula that work well in times of increasing Budgets have to be re-examined when Budgets are cut, or remain the same; (3) Taking an economic development approach will incorporate a wider variety of factors into the decision process used to allocate Collection funds.