The concrete delivery problem
From an operational point of view, Ready-Mixed Concrete Suppliers are faced with challenging operational problems such as the acquisition of raw materials, scheduling of production facilities, and the transportation of concrete. This paper is centered around the logistical and distributional part of...
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| Vydáno v: | Computers & operations research Ročník 48; s. 53 - 68 |
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| Jazyk: | angličtina |
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Elsevier Ltd
01.08.2014
Elsevier Pergamon Press Inc |
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| ISSN: | 0305-0548, 1873-765X, 0305-0548 |
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| Abstract | From an operational point of view, Ready-Mixed Concrete Suppliers are faced with challenging operational problems such as the acquisition of raw materials, scheduling of production facilities, and the transportation of concrete. This paper is centered around the logistical and distributional part of the operation: the scheduling and routing of concrete, commonly known as the Concrete Delivery Problem (CDP). The problem aims at finding efficient routes for a fleet of (heterogeneous) vehicles, alternating between concrete production centers and construction sites, and adhering to strict scheduling and routing constraints. Thus far, a variety of CDPs and solution approaches have appeared in academic research. However, variations in problem definitions and the lack of publicly available benchmark data inhibit a mutual comparison of these approaches. Therefore, this work presents a more fundamental version of CDP, while preserving the main characteristics of the existing problem variations. Both exact and heuristic algorithms for CDP are proposed. The exact solution approaches include a Mixed Integer Programming (MIP) model and a Constraint Programming model. Similarly, two heuristics are studied: the first heuristic relies on an efficient best-fit scheduling procedure, whereas the second heuristic utilizes the MIP model to improve delivery schedules locally. Computational experiments are conducted on new, publicly accessible, data sets; results are compared against lower bounds on the optimal solutions. |
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| AbstractList | From an operational point of view, Ready-Mixed Concrete Suppliers are faced with challenging operational problems such as the acquisition of raw materials, scheduling of production facilities, and the transportation of concrete. This paper is centered around the logistical and distributional part of the operation: the scheduling and routing of concrete, commonly known as the Concrete Delivery Problem (CDP). The problem aims at finding efficient routes for a fleet of (heterogeneous) vehicles, alternating between concrete production centers and construction sites, and adhering to strict scheduling and routing constraints. Thus far, a variety of CDPs and solution approaches have appeared in academic research. However, variations in problem definitions and the lack of publicly available benchmark data inhibit a mutual comparison of these approaches. Therefore, this work presents a more fundamental version of CDP, while preserving the main characteristics of the existing problem variations. Both exact and heuristic algorithms for CDP are proposed. The exact solution approaches include a Mixed Integer Programming (MIP) model and a Constraint Programming model. Similarly, two heuristics are studied: the first heuristic relies on an efficient best-fit scheduling procedure, whereas the second heuristic utilizes the MIP model to improve delivery schedules locally. Computational experiments are conducted on new, publicly accessible, data sets; results are compared against lower bounds on the optimal solutions. From an operational point of view, Ready-Mixed Concrete Suppliers are faced with challenging operational problems such as the acquisition of raw materials, scheduling of production facilities, and the transportation of concrete. This paper is centered around the logistical and distributional part of the operation: the scheduling and routing of concrete, commonly known as the Concrete Delivery Problem (CDP). The problem aims at finding efficient routes for a fleet of (heterogeneous) vehicles, alternating between concrete production centers and construction sites, and adhering to strict scheduling and routing constraints. Thus far, a variety of CDPs and solution approaches have appeared in academic research. However, variations in problem definitions and the lack of publicly available benchmark data inhibit a mutual comparison of these approaches. Therefore, this work presents a more fundamental version of CDP, while preserving the main characteristics of the existing problem variations. Both exact and heuristic algorithms for CDP are proposed. The exact solution approaches include a Mixed Integer Programming (MIP) model and a Constraint Programming model. Similarly, two heuristics are studied: the first heuristic relies on an efficient best-fit scheduling procedure, whereas the second heuristic utilizes the MIP model to improve delivery schedules locally. Computational experiments are conducted on new, publicly accessible, data sets; results are compared against lower bounds on the optimal solutions. [PUBLICATION ABSTRACT] |
| Author | Kinable, J. Wauters, T. Vanden Berghe, G. |
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| Keywords | Scheduling Mixed Integer Programming Constraint Programming Vehicle routing Meta-heuristics Lower bound Fleet Vehicle routing problem Mixed integer programming Routing Raw materials Modeling Bounded solution Constrained optimization Exact solution Production management Building site Concrete construction Heuristic method Ready mixed concrete Metamodel Logistics |
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| References | Schmid, Doerner, Hartl, Salazar-González (bib9) 2010; 37 Lin, Wang, Huang, Wang (bib6) 2010; 19 Schmid, Doerner, Hartl, Savelsbergh, Stoecher (bib8) 2009; 43 Asbach, Dorndorf, Pesch (bib4) 2009; 193 Misir M, Vancroonenburg W, Verbeeck K, Vanden Berghe G. A selection hyper-heuristic for scheduling deliveries of ready-mixed concrete. In: Di Gaspero L, Schaerf A, Stützle T, editors, Proceedings of the 9th metaheuristics international conference, July 2011. p. 289–98. Graham, Forbes, Smith (bib11) 2006; 15 Kinable J, Wauters T. CDPLib. Naso, Surico, Turchiano, Kaymak (bib7) 2007; 177 Laborie P, Rogerie J. Reasoning with conditional time-intervals. In: FLAIRS conference, 2008, pp. 555–60. Berghman, Leus, Spieksma (bib13) 2011 Hertz, Uldry, Widmer (bib1) 2012; 222 Laborie P, Rogerie J, Shaw P, Vilím P. Reasoning with conditional time-intervals. Part ii: An algebraical model for resources. In: FLAIRS conference, 2009. (bib10) 2005 Bard, Rojanasoonthon (bib12) 2006; 53 2013. Silva C, Faria JM, Abrantes P, Sousa JMC, Surico M, Naso D. Concrete delivery using a combination of GA and ACO. In: 44th IEEE conference on decision and control, 2005 and 2005 European control conference. CDC-ECC ׳05, 2005, pp. 7633–8. Yan, Lai (bib5) 2007; 16 Garey, Johnson (bib14) 1979 10.1016/j.cor.2014.02.008_bib16 10.1016/j.cor.2014.02.008_bib17 10.1016/j.cor.2014.02.008_bib15 Hertz (10.1016/j.cor.2014.02.008_bib1) 2012; 222 Asbach (10.1016/j.cor.2014.02.008_bib4) 2009; 193 Berghman (10.1016/j.cor.2014.02.008_bib13) 2011 Schmid (10.1016/j.cor.2014.02.008_bib9) 2010; 37 (10.1016/j.cor.2014.02.008_bib10) 2005 10.1016/j.cor.2014.02.008_bib3 Lin (10.1016/j.cor.2014.02.008_bib6) 2010; 19 10.1016/j.cor.2014.02.008_bib2 Garey (10.1016/j.cor.2014.02.008_bib14) 1979 Schmid (10.1016/j.cor.2014.02.008_bib8) 2009; 43 Graham (10.1016/j.cor.2014.02.008_bib11) 2006; 15 Bard (10.1016/j.cor.2014.02.008_bib12) 2006; 53 Yan (10.1016/j.cor.2014.02.008_bib5) 2007; 16 Naso (10.1016/j.cor.2014.02.008_bib7) 2007; 177 |
| References_xml | – reference: Silva C, Faria JM, Abrantes P, Sousa JMC, Surico M, Naso D. Concrete delivery using a combination of GA and ACO. In: 44th IEEE conference on decision and control, 2005 and 2005 European control conference. CDC-ECC ׳05, 2005, pp. 7633–8. – reference: 〉, 2013. – volume: 37 start-page: 559 year: 2010 end-page: 574 ident: bib9 article-title: Hybridization of very large neighborhood search for ready-mixed concrete delivery problems publication-title: Comput Oper Res – volume: 177 start-page: 2069 year: 2007 end-page: 2099 ident: bib7 article-title: Genetic algorithms for supply-chain scheduling publication-title: Eur J Oper Res – volume: 19 start-page: 798 year: 2010 end-page: 807 ident: bib6 article-title: Dispatching ready mixed concrete trucks under demand postponement and weight limit regulation publication-title: Autom Constr – reference: Laborie P, Rogerie J, Shaw P, Vilím P. Reasoning with conditional time-intervals. Part ii: An algebraical model for resources. In: FLAIRS conference, 2009. – volume: 43 start-page: 70 year: 2009 end-page: 85 ident: bib8 article-title: A hybrid solution approach for ready-mixed concrete delivery publication-title: Transp Sci – volume: 193 start-page: 820 year: 2009 end-page: 835 ident: bib4 article-title: modeling and solution of the concrete delivery problem publication-title: Eur J Oper Res – year: 1979 ident: bib14 article-title: Computers and intractability – reference: Kinable J, Wauters T. CDPLib. 〈 – volume: 15 start-page: 656 year: 2006 end-page: 663 ident: bib11 article-title: Modeling the ready mixed concrete delivery system with neural networks publication-title: Autom Constr – reference: Laborie P, Rogerie J. Reasoning with conditional time-intervals. In: FLAIRS conference, 2008, pp. 555–60. – volume: 53 start-page: 24 year: 2006 end-page: 44 ident: bib12 article-title: A branch-and-price algorithm for parallel machine scheduling with time windows and job priorities publication-title: Nav Res Log (NRL) – reference: Misir M, Vancroonenburg W, Verbeeck K, Vanden Berghe G. A selection hyper-heuristic for scheduling deliveries of ready-mixed concrete. In: Di Gaspero L, Schaerf A, Stützle T, editors, Proceedings of the 9th metaheuristics international conference, July 2011. p. 289–98. – volume: 16 start-page: 734 year: 2007 end-page: 744 ident: bib5 article-title: An optimal scheduling model for ready mixed concrete supply with overtime considerations publication-title: Autom Constr – start-page: 1 year: 2011 end-page: 23 ident: bib13 article-title: Optimal solutions for a dock assignment problem with trailer transportation publication-title: Ann Oper Res – volume: 222 start-page: 623 year: 2012 end-page: 631 ident: bib1 article-title: Integer linear programming models for a cement delivery problem publication-title: Eur J Oper Res – year: 2005 ident: bib10 publication-title: A primer in column generation – volume: 53 start-page: 24 issue: 1 year: 2006 ident: 10.1016/j.cor.2014.02.008_bib12 article-title: A branch-and-price algorithm for parallel machine scheduling with time windows and job priorities publication-title: Nav Res Log (NRL) doi: 10.1002/nav.20118 – start-page: 1 year: 2011 ident: 10.1016/j.cor.2014.02.008_bib13 article-title: Optimal solutions for a dock assignment problem with trailer transportation publication-title: Ann Oper Res – volume: 19 start-page: 798 issue: 6 year: 2010 ident: 10.1016/j.cor.2014.02.008_bib6 article-title: Dispatching ready mixed concrete trucks under demand postponement and weight limit regulation publication-title: Autom Constr doi: 10.1016/j.autcon.2010.05.002 – volume: 177 start-page: 2069 issue: 3 year: 2007 ident: 10.1016/j.cor.2014.02.008_bib7 article-title: Genetic algorithms for supply-chain scheduling publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2005.12.019 – ident: 10.1016/j.cor.2014.02.008_bib3 doi: 10.1109/CDC.2005.1583394 – volume: 222 start-page: 623 issue: 3 year: 2012 ident: 10.1016/j.cor.2014.02.008_bib1 article-title: Integer linear programming models for a cement delivery problem publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2012.04.039 – volume: 43 start-page: 70 issue: 1 year: 2009 ident: 10.1016/j.cor.2014.02.008_bib8 article-title: A hybrid solution approach for ready-mixed concrete delivery publication-title: Transp Sci doi: 10.1287/trsc.1080.0249 – volume: 16 start-page: 734 issue: 6 year: 2007 ident: 10.1016/j.cor.2014.02.008_bib5 article-title: An optimal scheduling model for ready mixed concrete supply with overtime considerations publication-title: Autom Constr doi: 10.1016/j.autcon.2006.12.009 – ident: 10.1016/j.cor.2014.02.008_bib16 – ident: 10.1016/j.cor.2014.02.008_bib17 – volume: 15 start-page: 656 issue: 5 year: 2006 ident: 10.1016/j.cor.2014.02.008_bib11 article-title: Modeling the ready mixed concrete delivery system with neural networks publication-title: Autom Constr doi: 10.1016/j.autcon.2005.08.003 – ident: 10.1016/j.cor.2014.02.008_bib2 – ident: 10.1016/j.cor.2014.02.008_bib15 – year: 1979 ident: 10.1016/j.cor.2014.02.008_bib14 – volume: 193 start-page: 820 issue: 3 year: 2009 ident: 10.1016/j.cor.2014.02.008_bib4 article-title: modeling and solution of the concrete delivery problem publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2007.11.011 – year: 2005 ident: 10.1016/j.cor.2014.02.008_bib10 – volume: 37 start-page: 559 issue: 3 year: 2010 ident: 10.1016/j.cor.2014.02.008_bib9 article-title: Hybridization of very large neighborhood search for ready-mixed concrete delivery problems publication-title: Comput Oper Res doi: 10.1016/j.cor.2008.07.010 |
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| SubjectTerms | Applied sciences Computer simulation Concrete Concretes Constraint Programming Deliveries Delivery scheduling Exact sciences and technology Exact solutions Heuristic Integer programming Logistics Mathematical models Mathematical problems Mathematical programming Meta-heuristics Mixed Integer Programming Operational research and scientific management Operational research. Management science Operations research Production scheduling Scheduling Scheduling, sequencing Studies Vehicle routing |
| Title | The concrete delivery problem |
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