Open Access
Issue |
RAIRO-Oper. Res.
Volume 57, Number 6, November-December 2023
|
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Page(s) | 3093 - 3116 | |
DOI | https://doi.org/10.1051/ro/2023160 | |
Published online | 30 November 2023 |
- M.A. Abo-Sinna and I.A. Baky, Interactive balanced space approach for solving multi-level multi-objective programming problems. Inf. Sci. 177 (2007) 3397–3410. [CrossRef] [Google Scholar]
- F. Alkaabneh, A. Diabat and H.O. Gao, Benders decomposition for the inventory vehicle routing problem with perishable products and environmental costs. Comput. Oper. Res. 113 (2020) 104751. [CrossRef] [MathSciNet] [Google Scholar]
- R. Armstrong, S. Gao and L. Lei, A zero-inventory production and distribution with a fixed customer sequence. Ann. Oper. Res. 159 (2008) 395–414. [CrossRef] [MathSciNet] [Google Scholar]
- M. Asghari and S.M.J. Mirzapour Al-e-hashem, A green delivery-pickup problem for home hemodialysis machines; sharing economy in distributing scarce resources. Transp. Res. Part E: Logistics Transp. Rev. 134 (2020) 101815. [CrossRef] [Google Scholar]
- M. Asghari, S.M.J. Mirzapour Al-e-hashem and M.A. Dulebenets, Transformation and linearization techniques in optimization: a state-of-the-art survey. Mathematics 10 (2022) 283. [CrossRef] [Google Scholar]
- F.B. Bard, J. Plummer and J.C. Sourie, A bilevel programming approach to determining tax credits for biofuel production. J. Oper. Res. 120 (2000) 30–46. [CrossRef] [Google Scholar]
- L. Brotcorne, M. Labbé, P. Marcotte and G. Savard, Join design and pricing on a network. Oper. Res. 56 (2008) 1104–1115. [CrossRef] [MathSciNet] [Google Scholar]
- E. Cakici, S.J. Mason and M.E. Kurz, Multi-objective analysis of an integrated supply chain scheduling problem. Int. J. Prod. Res. 50 (2012) 2671–2685. [Google Scholar]
- D. Cao and M. Chen, Capacitated plan selection in a decentralized manufacturing environment: a bi-level optimization approach. Eur. J. Oper. Res. 169 (2006) 97–110. [CrossRef] [Google Scholar]
- Y.-C. Chang, V.C. Li and C.-J. Chiang, An ant colony optimization heuristic for an integrated production and distribution scheduling problem. Eng. Optim. 4 (2013) 503–520. [Google Scholar]
- Z.-L. Chen and G. Pundoor, Integrated order scheduling and packing. Prod. Oper. Manage. 18 (2009) 672–692. [CrossRef] [Google Scholar]
- G.B. Dantzing and J.H. Ramsar, The truck dispatching problem. Manage. Sci. 6 (1959) 80–91. [CrossRef] [Google Scholar]
- S. DeNegre, Interdiction and discrete bilevel linear programming. Ph.D. thesis, Lehigh University (2011). [Google Scholar]
- P. Farghadani-Chaharsooghi, P. Kamranfar, M.S.M. Al-e-Hashem and Y. Rekik, A joint production-workforce-delivery stochastic planning problem for perishable items. Int. J. Prod. Res. 60 (2022) 6148–6172. [CrossRef] [Google Scholar]
- A. Frangioni, On a new class of bilevel programming problems and its use for reformulating mixed-integer problems. Eur. J. Oper. Res. 82 (1995) 615–646. [CrossRef] [Google Scholar]
- M. Ganji, H. Kazemipoor, S.M. Molana and S.M. Sajadi, A green multi-objective integrated scheduling of production and distribution with heterogeneous fleet vehicle routing and time window. J. Cleaner Prod. 259 (2020) 120824. [CrossRef] [Google Scholar]
- J.M. Garcia and S. Lozano, Production and delivery scheduling problem with time windows. Comput. Ind. Eng. 48 (2005) 733–742. [CrossRef] [Google Scholar]
- M.R. Garey, D.S. Johnson and R. Sethi, The complexity of flow-shop and job-shop scheduling. Math. Oper. Res. 1 (1976) 117–129. [CrossRef] [MathSciNet] [Google Scholar]
- Z. Guo, L. Shi, L. Chen and Y. Liang, A harmony search-based memetic optimization model for integrated production and transportation scheduling in MTO manufacturing. Omega 66 (2015) 327–343. [Google Scholar]
- Z. Guo, J. Yang, S.Y.S. Leung and L. Shi, A bi-level evolutionary optimization approach for integrated production and transportation scheduling. Appl. Soft Comput. 42 (2016) 215–228. [CrossRef] [Google Scholar]
- A. Hassanzadeh, M. Rasti-Barzoki and H. Khosroshahi, Two new meta-heuristics for a bi-objective supply chain scheduling problem in flow-shop environment. Appl. Soft Comput. 49 (2016) 335–351. [CrossRef] [Google Scholar]
- C.M. Joo and B.S. Kim, Rule-based meta-heuristics for integrated scheduling of unrelated parallel machines, batches, and heterogeneous delivery trucks. Appl. Soft Comput. 53 (2016) 457–476. [Google Scholar]
- I. Kacem, S. Hammadi and P. Borne, Approach by localization and multi-objective evolutionary optimization for flexible job-shop scheduling problems. IEEE Trans. Syst. Man Cybern. Part C (App. Rev.) 32 (2002) 1–13. [CrossRef] [Google Scholar]
- Y. Kergosien, M. Gendreau and J.-C. Billaut, A Benders decomposition-based heuristic for a production and outbound distribution scheduling problem with strict delivery constraints. Eur. J. Oper. Res. 262 (2017) 287–298. [CrossRef] [Google Scholar]
- C.-L. Li and G. Vairaktarakis, Coordinating production and distribution of jobs with bundling operations. IIE Trans. 39 (2007) 203–215. [CrossRef] [Google Scholar]
- P. Liu and X. Lu, Integrated production and job delivery scheduling with an availability constraint. Int. J. Prod. Econ. 176 (2016) 1–6. [CrossRef] [Google Scholar]
- C. Low, C.-M. Chang, R.-K. Li and C.-L. Huang, Coordination of production scheduling and delivery problems with heterogeneous fleet. Int. J. Prod. Econ. 153 (2014) 139–148. [CrossRef] [Google Scholar]
- A. Majidi, P. Farghadani-Chaharsooghi and S.M.J. Mirzapour Al-e-Hashem, Sustainable pricing-production-workforce-routing problem for perishable products by considering demand uncertainty; a case study from the dairy industry. Transp. J. 61 (2022) 60–102. [CrossRef] [Google Scholar]
- F. Marandi and S.H. Zegordi, Integrated production and distribution scheduling for perishable products. Trans. E: Ind. Eng. 24 (2017) 2105–2118. [Google Scholar]
- S. Mohammadi, S.M.J. Mirzpour Al-e-Hashem and Y. Rekik, An integrated production scheduling and delivery route planning with multi-purpose machines: a case study from a furniture manufacturing company. Int. J. Prod. Econ. 219 (2020) 347–359. [CrossRef] [Google Scholar]
- J. Moore and J.F. Bard, The mixed-integer linear bilevel programming problem. Oper. Res. 38 (1990) 911–921. [CrossRef] [MathSciNet] [Google Scholar]
- A. Noroozi, M. Mahdavi Mazdeh, M. Heidari and M. Rasti-Barzoki, Coordinating order acceptance and integrated production–distribution scheduling with batch delivery considering third party logistics distribution. J. Manuf. Syst. 46 (2018) 29–45. [CrossRef] [Google Scholar]
- U. Saglam and A. Banerjee, Integrated multi-product batch production and truck shipment scheduling under different shipping policies. Omega 74 (2017) 70–81. [Google Scholar]
- F. Salehi, S.M.J. Mirzapour Al-e-Hashem and S.M. Moattar Husseini, A 2-phase interdependent methodology for sustainable project portfolio planning in the pharmaceutical industry. Comput. Ind. Eng. 174 (2022) 108794. [CrossRef] [Google Scholar]
- F. Salehi, S.M.J. Mirzapour Al-e-Hashem, S.M. Moattar Husseini and S.H. Ghodsypour, A bi-level multi-follower optimization model for R&D project portfolio: an application to a pharmaceutical holding company. Ann. Oper. Res. 323 (2023) 331–360. [CrossRef] [PubMed] [Google Scholar]
- H. Scheel and S. Scholtes, Mathematical programs with complementarity constraints: stationarity, optimality, and sensitivity. Math. Oper. Res. 25 (2000) 1–22. [CrossRef] [MathSciNet] [Google Scholar]
- V. Solina and G. Mirabelli, Integrated production–distribution scheduling with energy considerations for efficient food supply chains. Proc. Comput. Sci. 180 797–806. [Google Scholar]
- A. Soukhal, A. Oulamara and P. Martineau, Complexity of flow-shop scheduling problems with transportation constraints. Eur. J. Oper. Res. 161 (2005) 32–41. [CrossRef] [Google Scholar]
- K.E. Stecke and X. Zhao, Production and transportation integration for a make-to-order manufacturing company with a commit-to-delivery business mode. Manuf. Serv. Oper. Manage. 9 (2007) 206–224. [CrossRef] [Google Scholar]
- C.A. Ullrich, Integrated machine scheduling and vehicle routing with time-windows. Eur. J. Oper. Res. 227 (2013) 152–165. [CrossRef] [Google Scholar]
- G. Wang, Integrated supply chain scheduling of procurement, production, and distribution under spillover effects. Comput. Oper. Res. 126 (2021) 105105. [CrossRef] [Google Scholar]
- J. Wang, S. Yao, J. Sheng and H. Yang, Minimizing total carbon emission in an integrated machine scheduling and vehicle routing problem. J. Cleaner Prod. 229 (2019) 1004–1017. [CrossRef] [Google Scholar]
- P. Xu, Three essays on bilevel optimization algorithms and applications. Ph.D. thesis, Iowa State University (2012). [Google Scholar]
- P. Xu and L. Wang, An exact algorithm for the bilevel mixed-integer linear programming problem under three simplifying assumptions. Comput. Oper. Res. 41 (2014) 309–318. [CrossRef] [MathSciNet] [Google Scholar]
- E. Yağmur and S.E. Kesen, A memetic algorithm for joint production and distribution scheduling with due dates. Comput. Ind. Eng. 142 (2020) 106342. [CrossRef] [Google Scholar]
- G. Zhang and J. Lu, Model and approach of fuzzy bilevel decision-making for logistics planning problem. J. Enterp. Inf. Manage. 20 (2007) 178–197. [CrossRef] [Google Scholar]
- B. Zeng and Y. An, Solving bilevel mixed-integer problem by reformulations and decomposition. Optimization. 2014 (June 2014) 1–34. [Google Scholar]
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