Multi-year Expert Meeting on Transport,Trade Logistics and Trade Facilitation: Transport and logistics innovation towards the review of the Almaty Programme of Action in 2014 22-24 October 2013 USING A STRATEGIC DECISION MAKING TOOL TO DESIGN AND OPTIMIZE SUPPLY CHAIN NETWORKS (A BEST PRACTICE IN GLASS RECYCLING) by Mr. Aurélien Levieux Engineer (Institute for logistics) of Le Havre University, ISEL This expert paper is reproduced by the UNCTAD secretariat in the form and language in which it has been received. The views expressed are those of the author and do not necessarily reflect the view of the United Nations. 04/11/2013 USING A STRATEGIC DECISION MAKING TOOL TO DESIGN AND OPTIMIZE SUPPLY CHAIN NETWORKS (A BEST PRACTICE IN GLASS RECYCLING) CNUCED Presentation October, 23rd 2013 aurelien.levieux@univ-lehavre.fr 04/11/2013 1 ISEL, a school unique in France ISEL, school of logistics is the only public engineering institute in France in the field of logistics Some figures: – – – – – – – School founded in 1994 465 graduated engineers 212 students (2013/2014) 40% women Around 50 new graduates each year 95% graduates under contract in less than 6 months ISEL 800 program: double the number of students by the coming years 04/11/2013 2 1 04/11/2013 ISEL, a school unique in France ISEL has numerous foreign partner institutions, both European (Socrates/Erasmus programme) and worldwide ISEL has also 2 main partnership agreements with the universities of Hull (UK) and Magdeburg (Ger) A specific entity, Comptoir of Logistics (value-creation entity) 04/11/2013 3 Comptoir of logistics Comptoir of Logistics: – Project engineering – 14 colleagues – 3 main competences: • Modeling/simulation • Supply Chain trade skills diagnosis (Audit) • Major projects and cooperation Construction of decision making tools We design both strategic (network optimization) and operational (process/flow optimization) models 04/11/2013 4 2 04/11/2013 Modeling and simulation Modeling is a symbolic representation of some aspects of an object or a real phenomenon Simulation enables to develop a model and to test different configurations (time, spatial configuration, …) under different constraints 04/11/2013 5 Modeling and simulation – Logistics issues Sourcing Manufacturing Inventory Infrastructure Outsourcing Strategic Inventory modelling / deployment Cost models and budgets Warehouse layout Vehicle routing Tactical Opérational Route Manifests Stock replenishment Shift Patterns Warehouse Resources Picking Lists Daily Weekly Monthly 6 Months 1 year 2 years 5 years 04/11/2013 6 3 04/11/2013 Modeling and simulation – CAST Aurora CAST Aurora: a strategic support tool for Supply Chain planning Interests: – – – – – – – – Results: To gain insight To quantify relationships To optimize To generate and evaluate options To test sensitivities To remove emotion and politics To adopt a rigorous process To provide a point of expertise... – – – – – Network Optimization Warehouse positioning Transport Mode selection Supply & Demand allocation Carbon optimization Consider all elements of the Supply Chain in a single, integrated model 04/11/2013 7 Modeling and simulation – Methodology Modifications Requirements definition 1 Analysis of the situation 2 Data gathering Data analysis 3 Data Adequation Results analysis 5 4 Scénarios Configuration Modelling 6 9 Implementation 7 8 Software 1: Project definition, objectives 6: Study period, units, rules and constraints 2: Flow diagrams, mappings… 7: Model design 3: Technical data, key variables, constraints 4: Perimeter, functionalities, elements... 8: Model implementation Simulation run 5: Data analysis (folding, deleting, combining…) 9: Assumption tests (analysis and recommendations) 04/11/2013 8 4 04/11/2013 Partners 04/11/2013 9 AUTOMOTIVE GLASS RECYCLING 5 04/11/2013 Context and objective Context European regulation: from 2015, 95% of the total weight of an End of Live Vehicles (ELV) should be re-used / recycled. Concerning this issue, France is not a model in Europe: only 81% of an ELV is be re-used / recycled. Automotive glass is not recycled and is representing 3-4% of the total weight… Objective Establish a profitable network for glass collecting and recycling of the French manufacturer Renault 04/11/2013 11 04/11/2013 12 Partners Industrials Engineering schools Association Public partners 6 04/11/2013 ISEL objective Create a decision making tool to size and define the cost of the collecting, storage and distribution network of reusable glass in France (including carbon footprint) 04/11/2013 13 04/11/2013 14 Actors of the supply chain Glass deposits • Car crushers • Car dealership • Windscreen repairer (Carglass, France Pare brise…) Collection platforms • Sita platforms • Renault platforms... Glass reprocessing sites Transportation companies 7 04/11/2013 Model presentation – Main figures 3 615 collection points 2 172 locations 52 571 tons of glass (24 kg/VHU) 142 collection platforms “6 customers” (glass demand) 4 different transportation vehicles 15 04/11/2013 Résults Maltha Base case PATE Solover 2 SRPVI Solover 1 Brianne Scénario Number of tons Collection Base Case 51 769 t 98 % 2 068 452 € 40 €/t Platforms Transfer 33 614 € 1 276 480 € 0,7 €/tConfidential 24,7data €/t Total CO2 3 378 546 € 65,3 €/t 2 137 t 41,3 kg/t 04/11/2013 16 8 04/11/2013 Examples of scenarios Increase of the number of platforms Scenario Number of tons Collection Platforms Transfer Augmentation du nombre de plateformes 51 797 t 98,5 % 1 643 544€ 31,7 €/t 37 947 € 1 321 414 € Confidential data 0,7 €/t 25,5 €/t Total CO2 3 002 904 € 58 €/t -11% 1 929 t 37,25 kg/t -10% Total CO2 2 891 566 € 55,8 €/t -15% 1 769 t 25,8 kg/t -47% Existing platforms relocation Scenario Number of tons Collection Platforms Transfer Relocalisation des plateformes 51 797 t 98 % 1 519 530€ 29,3 €/t 37 940 € 1 334 096 € data 0,7 €/t Confidential 25,8 €/t Use of new transportation companies (higher capacity vehicles) Scenario Number of tons Collection Nouveaux transporteurs pour le transfert (25 à 27 tonnes) 51 769 t 98 % 1 922 293 € 37,1 €/t Platforms Transfer 56 061 € 690 785 € data 1,1 €/t Confidential 13,3 €/t Total CO2 2 669 139 € 51,5 €/t -14% 1 740t 33,6 kg/t -19% 17 04/11/2013 Average cost VS. % of collection 70 65 Existing platforms Confidential data 55 50 Target cost Average cost (€) 60 45 Relocated platforms 40 35 100% 90% 80% 70% 60% 50% 40% Number of collected tons (percentage) 04/11/2013 18 9 04/11/2013 Conclusions of the study Conclusions • The number and the location of each actor of the supply chain have a strong impact on the total cost • It is necessary to consider several key variables to reach the objectives of the project • It is important to gather products (minimize number of platforms) to decrease significantly logistics costs The use of CAST can be adjustable depending on your needs Importance of the size of the network and the granularity of the model 04/11/2013 19 Thank you for your attention Institut Supérieur d’Études Logistiques Quai Frissard – B.P. 1137 76063 LE HAVRE CEDEX Tel.: +332 32 74 49 00 Fax: +332 32 74 49 11 Email: isel@univ-lehavre.fr 04/11/2013 20 10