A MILP for multi-machine injection moulding sequencing in the scope of C2NET Project
The goal of C2NET European H2020 Funded Project is the creation of cloud-enabled tools for supporting the SMEs supply network optimization of manufacturing and logistic assets based on collaborative demand, production and delivery plans. In the scope of C2NET Project, and particularly in the Optimisation module (C2NET OPT), this paper proposes a novel holistic mixed integer linear programing (MILP) model to optimise the injection sequencing in a multi-machine case. The results of the MILP will support the production planner decision-making process in the calculation of (i) moulds setup in certain machines, and (ii) the amount of products to produce in order to minimise the setup, inventory, and backorders costs. The designed MILP takes part of the algorithms repository created in C2NET European Funded Project to solve realistic industry planning problems. The MILP is verified in realistic data considering three data sets with different sizes, in order to test it’s the computation efficiency.
Andres, B., Poler, R. (2016). A decision support system for the collaborative selection of strategies in enterprise networks. Decision Support Systems, 91, 113-123. https://doi.org/10.1016/j.dss.2016.08.005
Andres, B., Poler, R., Saari, L., Arana, J., Benaches, J.V., Salazar, J. (2018). Optimization Models to Support Decision-Making in Collaborative Networks : A Review, in: Closing the Gap Between Practice and Research in Industrial Engineering, Lecture Notes in Management and Industrial Engineering. 249-258. https://doi.org/10.1007/978-3-319-58409-6_28
Andres, B., Saari, L., Lauras, M., Eizaguirre, F. (2016a). Optimization Algorithms for Collaborative Manufacturing and Logistics Processes, in: Zelm, M., Doumeingts, G., Mendonça, J.P. (Eds.), Enterprise Interoperability in the Digitized and Netwroked Factory of the Future. iSTE, 167-173.
Andres, B., Sanchis, R., Lamothe, J., Saari, L., Hauser, F. (2016b). Combined models for production and distribution planning in a supply chain, in: Building Bridges between Researchers and Practitioners. Book of Abstracts of the International Joint Conference CIO-ICIEOM-IISE-AIM (IJC2016), 71.
Andres, B., Sanchis, R., Lamothe, J., Saari, L., Hauser, F. (2017). Integrated production-distribution planning optimization models : A review in collaborative networks context. International Journal of Production Management and Engineering, 5, 31-38. https://doi.org/10.4995/ijpme.2017.6807
Andres, B., Sanchis, R., Poler, R. (2016c). A Cloud Platform to support Collaboration in Supply Networks. International Journal of Production Management and Engineering, 4, 5-13. https://doi.org/10.4995/ijpme.2016.4418
Camarinha-Matos, L.M., Afsarmanesh, H. (2008). Collaborative Networks: Reference Modelling. Springer International Publishing.
Camarinha-Matos, L.M., Afsarmanesh, H. (2005). Collaborative networks : a new scientific discipline. Journal of Intelligent Manufacturing, 16(4-5), 439-452. https://doi.org/10.1007/s10845-005-1656-3
Commission, E. (2012). European Comission [WWW Document]. Eur. Compet. Report. 2012. Reaping Benefits Glob. Comm. Staff Work. Doc. SWD(2012)299 Final.
Diaz-Madroñero, M., Mula, J., Andres, B., Poler, R., Sanchis, S. (2018). Capacitated Lot-Sizing and Scheduling Problem for Second-Tier Suppliers in the Automotive Sector, in: Closing the Gap Between Practice and Research in Industrial Engineering. Springer International Publishing, 121-129. https://doi.org/10.1007/978-3-319-58409-6
European Commission (2008). Work Programme. Cooperation Theme 4 Nanosciences, Nanotechnologies, Materials And New Production Technologies – NMP (European Commission C (2007) 5765 of 29 November 2007).
European Commission (2013). Fact and figures about the EU's Small and Medium Enterprise (SME) [WWW Document].
Lauras, M., Lamothe, J., Benaben, F., Andres, B., Poler, R. (2015). Towards an Agile and Collaborative Platform for Managing Supply Chain Uncertainties. In: International IFIP Working Conference on Enterprise Interoperability, 64–72. https://doi.org/10.1007/978-3-662-47157-9_6
Orbegozo, A., Andres, B., Mula, J., Lauras, M., Monteiro, C., Malheiro, M. (2018). An Overview of Optimization Models for Integrated Replenishment and Production Planning Decisions, in: Closing the Gap Between Practice and Research in Industrial Engineering, Lecture Notes in Management and Industrial Engineering, 239-247. https://doi.org/10.1007/978-3-319-58409-6_27
Metrics powered by PLOS ALM
Cited-By (articles included in Crossref)
This journal is a Crossref Cited-by Linking member. This list shows the references that citing the article automatically, if there are. For more information about the system please visit Crossref site
1. A capacitated lot-sizing model with sequence-dependent setups, parallel machines and bi-part injection moulding
Josefa Mula, Manuel Díaz-Madroñero, Beatriz Andres, Raul Poler, Raquel Sanchis
Applied Mathematical Modelling vol: 100 first page: 805 year: 2021
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives- 4.0 International License
Universitat Politècnica de València
e-ISSN: 2340-4876 ISSN: 2340-5317 https://doi.org/10.4995/ijpme