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Title: Simultaneous personnel and vehicle shift scheduling in the waste management sector

Highlights: • We consider the problem of simultaneously schedule personnel and vehicle shifts in the waste management sector. • We propose both an optimization model and a heuristic approach. • Important monetary savings can be achieved in the waste collection operations. - Abstract: Urban waste management is becoming an increasingly complex task, absorbing a huge amount of resources, and having a major environmental impact. The design of a waste management system consists in various activities, and one of these is related to the definition of shift schedules for both personnel and vehicles. This activity has a great incidence on the tactical and operational cost for companies. In this paper, we propose an integer programming model to find an optimal solution to the integrated problem. The aim is to determine optimal schedules at minimum cost. Moreover, we design a fast and effective heuristic to face large-size problems. Both approaches are tested on data from a real-world case in Southern Italy and compared to the current practice utilized by the company managing the service, showing that simultaneously solving these problems can lead to significant monetary savings.
Authors:
 [1] ;  [2] ;  [1] ;  [1] ;  [2] ;  [1] ;  [2] ;  [1] ;  [2]
  1. Dipartimento di Ingegneria dell’Innovazione, Università del Salento, via per Monteroni, 73100 Lecce (Italy)
  2. (Italy)
Publication Date:
OSTI Identifier:
22300368
Resource Type:
Journal Article
Resource Relation:
Journal Name: Waste Management; Journal Volume: 33; Journal Issue: 7; Other Information: Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; ENVIRONMENTAL IMPACTS; ITALY; MUNICIPAL WASTES; OPERATING COST; OPTIMIZATION; PERSONNEL; PROGRAMMING; SCHEDULES; VEHICLES; WASTE MANAGEMENT