Abstract
The paper presents a new way of optimising maritime inventory routing problems (IRP) by using a heuristic approach based on fix-and-relax time decomposition extended with two new features. The purpose of the extensions is to reduce computation time during the fix-and-relax process and to improve solution quality after a first solution is found. The feature which improves solution quality is independent of the method used for calculating the first solution. In this study, the algorithm and extensions have been tested on four liquefied natural gas (LNG) cases and the impacts on computational time and objective function value are reported. The results show that using fix-and-relax reduces computing time considerably while the objective function value is only slightly worse compared to a general MILP solver. Furthermore, the results confirm that the extensions work according to the intentions when compared to the original fix-and-relax heuristic. For relatively complex cases, it appears advantageous to use the extensions developed.
This is a preview of subscription content, access via your institution.
References
Absi N, Kedad-Sidhoum S (2007) MIP-based heuristics for multi-item capacitated lot-sizing problem with setup times and shortage costs. RAIRO Oper Res 41:171–192
Akartunali K, Miller A (2009) A heuristic approach for big bucket multi-level production planning problems. Eur J Oper Res 193:396–411
Al-Ameri TA, Shah N, Papageorgiou LG (2008) Optimization of vendor-managed inventory systems in a rolling horizon framework. Comput Ind Eng 54:1019–1047
Al-Khayal F, Hwang SJ (2007) Inventory constrained maritime routing and scheduling for multi-commodity liquid bulk, part I: applications and model. Eur J Oper Res 176:106–130
Alonso A, Escudero LF, Ortuno MT (2000) A stochastic 0-1 program based approach for the air traffic flow management problem. Eur J Oper Res 120:47–62
Alonso-Ayuso A, Escudero LF, Pizarro C (2009) On SIP algorithms for minimizing the mean-risk function in the multi-period single-source problem under uncertainty. Ann Oper Res 166:223–242
Alonso-Ayuso A, Escudero LF, Pizarro C, Romeijn HE, Romero Morales D (2006) On solving the multi-period single-sourcing problem under uncertainty. Comput Manag Sci 3:29–53
Andersson H, Hoff A, Christiansen M, Hasle G, Løkketangen A (2010) Industrial aspects and literature survey: combined inventory management and routing. Comput Oper Res 37:1515–1536
Appelgren LH (1969) A column generation algorithm for a ship scheduling problem. Transp Sci 3:53–68
Appelgren LH (1971) Integer programming methods for a vessel scheduling problem. Transp Sci 5:64–78
Aytekin M (2002) Applying a fix-and-relax heuristic to U.S. navy force structure planning. Naval Postgraduate School
Beraldi P, Ghiani G, Grieco A, Guerriero E (2006) Fix and relax heuristic for a stochastic lot-sizing problem. Comput Optim Appl 33:303–318
Beraldi P, Ghiani G, Grieco A, Guerriero E (2008) Rolling-horizon and fix-and-relax heuristics for the parallel machine lot-sizing and scheduling problem with sequence-dependent set-up cost. Comput Oper Res 35:3644–3656
Campbell AM, Clarke L, Kleywegt A, Savelsbergh MWP (1998) Inventory routing. In: Crainic TG, Laporte G (eds) Fleet management and logistics. Kluwer Academic, Dordrecht
Christiansen M (1999) Decomposition of a combined inventory and time constrained ship routing problem. Transp Sci 33:3–16
Christiansen M, Fagerholt K (2009) Maritime inventory routing problems. In: Floudas CA, Pardalos PM (eds) Encyclopedia of optimization. Springer, New York
Christiansen M, Nygreen B (1998a) A method for solving ship routing problems with inventory constraints. Ann Oper Res 81:357–378
Christiansen M, Nygreen B (1998b) Modelling path flows for a combined ship routing and inventory management problem. Ann Oper Res 82:391–412
Christiansen M, Nygreen B (2005) Robust inventory ship routing by column generation. In: Desaulniers G, Desrosiers J, Solomon MM (eds) Column generation. Springer, New York
Christiansen M, Fagerholt K, Ronen D (2004) Ship routing and scheduling: status and perspectives. Transp Sci 38:1–18
Christiansen M, Fagerholt K, Nygreen B, Ronen D (2007) Maritime transportation. In: Barnhart C, Laporte G (eds) Transportation. Handbooks in operations research and management science. Elsevier, Amsterdam, Chap 4
Cordeau JF, Laporte G, Savelsbergh MWP, Vigo D (2007) Vehicle routing. In: Barnhart C, Laporte G (eds) Transportation. Handbooks in operations research and management science. Elsevier, Amsterdam, Chap 6
Dauzère-Pérès S, Nordli A, Olstad A, Haugen K, Koester U, Myrstad PO, Teistklub G, Reistad A (2007) Omya hustadmarmor optimizes its supply chain for delivering calcium carbonate slurry to European paper manufacturers. Interfaces 37:39–51
De Araujo S, Arenales MN, Clark AR (2007) Joint rolling-horizon scheduling of materials processing and lot-sizing with sequence-dependent setups. J Heuristics 13:337–358
De Araujo S, Arenales MN, Clark AR (2008) Lot sizing and furnace scheduling in small foundries. Comput Oper Res 35:916–932
Dillenberger C, Escudero LF, Wollensak A, Zhang W (1994) On practical resource allocation for production planning and scheduling with period overlapping setups. Eur J Oper Res 75:275–286
Dror M, Ball M, Golden B (1985) A computational comparison of algorithms for the inventory routing problem. Ann Oper Res 4:3–23
Escudero LF, Salmeron J (2005) On a fix-and-relax framework for a class of project scheduling problems. Ann Oper Res 140:163–188
Federgruen A, Meissner J, Tzur M (2007) Progressive interval heuristic for multi-item capacitated lot-sizing problems. Oper Res 55:490–502
Ferreira D, Morabito R, Rangel S (2009) Solution approaches for the soft drink integrated production lot sizing and scheduling problem. Eur J Oper Res 196:697–706
Flatberg T, Haavardtun H, Kloster O, Løkketangen A (2000) Combining exact and heuristic methods for solving a vessel routing problem with inventory constraints and time windows. Ric Oper 29:55–68
Fodstad M, Tolstad Uggen K, Rømo F, Lium A-G, Stremersch G, Hecq S (2010) LNGScheduler: a rich model for coordinating vessel routing, inventories and trade in the LNG-supply chain. J Energy Mark 3:1–34
Golden B, Assad A, Dahl R (1984) Analysis of a large scale vehicle routing problem with an inventory component. Large Scale Syst 7:181–190
Grønhaug R, Christiansen M (2009) Supply chain optimization for the liquefied natural gas business. In: Bertazzi L, Speranza MG, Van Nunen JAEE, (eds) Innovations in distribution logistics. Springer, Berlin
Grønhaug R, Christiansen M, Desaulniers G, Desrosiers J (2008) A branch-and-price-and-cut method for a liquefied natural gas inventory routing problem. Les Cahiers du GERAD
IEA (2009) World energy outlook. http://www.iea.org/speech/2009/Tanaka/WEO2009_Press_Conference.pdf
Kelly JD, Mann JL (2004) Flowsheet decomposition heuristic for scheduling: a relax-and-fix method. Comput Chem Eng 28:2193–2200
Marín ÁG (2006) Airport management: taxi planning. Ann Oper Res 143:191–202
Miller DM (1987) An interactive computer-aided ship scheduling system. Eur J Oper Res 32:363–379
Mohammadi M, Fatemi Ghomi SMT, Karimi B, Torabi SA (2008) Rolling-horizon and fix-and-relax heuristics for the multi-product multi-level capacitated lot-sizing problem with sequence-dependent setups. J Intell Manuf
Moscato P, Cotta C (2003) a gentle introduction to memetic algorithms. In: Glover FW, Kochenberger GA (eds) Handbook of metaheuristics. Springer, Berlin
Ouhimmou M, D’amours S, Beauregard R, Ait-Kadi D, Singh Chauhan S (2008) Furniture supply chain tactical planning optimization using a time decomposition approach. Eur J Oper Res 189:952–970
Persson JA, Göthe-Lundgren M (2005) Shipment planning at oil refineries using column generation and valid inequalities. Eur J Oper Res 163:631–652
Pochet Y, Warichet F (2008) A tighter continuous time formulation for the cyclic scheduling of a mixed plant. Comput Chem Eng 32:2723–2744
Stadtler H (2003) Multilevel lot sizing with setup times and multiple constrained resources: internally rolling schedules with lot-sizing windows. Oper Res 51:487–502
Wolsey LA (1998) Integer Programming. Wiley, New York
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Uggen, K.T., Fodstad, M. & Nørstebø, V.S. Using and extending fix-and-relax to solve maritime inventory routing problems. TOP 21, 355–377 (2013). https://doi.org/10.1007/s11750-011-0174-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11750-011-0174-z
Keywords
- Fix-and-relax
- Time decomposition heuristic
- Maritime inventory routing problem (IRP)
- Liquefied natural gas (LNG)
Mathematics Subject Classification (2000)
- 90C59
- 90B06
- 90C11