SimHeuristics for Supply Chain Management Helena Ramalhinho (UPF) Angel A. Juan (UOC) Martín Goméz Ravetti (UFMG) 1 SimHeuristics for SCM ► Outline § § § § § § Supply Chain Management Decision Problems in SCM SimHeuristics Applications Conclusions Future Research 2 © Helena Ramalhinho-Lourenço (Barcelona, 2015)) 1 Supply Chain Management Information flow Warehouse Inventory Producción Transportation Transportation Reverse logistics 3 Supply Chain Management ► “It is the integration of key processes from suppliers to final consumers in order to obtain products, services and information that add value for consumers and other stakeholders” (The Global Supply Chain Forum, 1998). § http://fisher.osu.edu/centers/scm 4 © Helena Ramalhinho-Lourenço (Barcelona, 2015)) 2 SUPPLY CHAIN MANAGEMENT Integrating and Managing Processes Across the Supply Chain Information Flow Tier 2 Supplier Manufacturer Tier 1 Supplier Logistics Purchasing Production PRODUCT FLOW R&D Supply Chain Business Processes 5 Customer Marketing & Sales Consumer /End-user Finance CUSTOMER RELATIONSHIP MANAGEMENT CUSTOMER SERVICE MANAGEMENT DEMAND MANAGEMENT ORDER FULFILLMENT MANUFACTURING FLOW MANAGEMENT SUPPLIER RELATIONSHIP MANAGEMENT PRODUCT DEVELOPMENT AND COMMERCIALIZATION RETURNS Source: Douglas M. Lambert, Martha C. Cooper, Janus D. Pagh, “Supply Chain Management: Implementation Issues and Research Opportunities,” International Journal of Logistics Management, Vol. 9, No. 2, 1998, pp. 2. Business Logistics ≠ SCM ► The objective of logistics manager is § Provide goods or services to the customer according to their needs and requirements Right Product Right Place + + Least Cost + + Right time 6 © Helena Ramalhinho-Lourenço (Barcelona, 2015)) 3 Objectives ► Describe the important role of uncertainty and stochasticity in SCM optimization problems. ► Point out that metaheuristics, and in particular simheuristics, can play a decisive role in SCM decision making process. 7 Decision Problems in SCM ► Strategic problems § Cannot be easily changed in a short period ► Combinatorial optimization problems § The most frequent ones ► Stochastic data § Based on forecasted data ► The decisions have a great impact on the performance (cost, customer service, etc.) of the business. 8 § Integration, Collaboration, Cooperation © Helena Ramalhinho-Lourenço (Barcelona, 2015)) 4 Decision Problems in SCM ► Supply Chain Network Design § Location, Inventory, Distribution, Procurement ► Manufacturing and Resource Strategies § Resource utilization, production planning, scheduling ► Sustainability and Green Strategies § Product design, manufacturing, returns ► Transportation and Distribution Strategies § Routing, assignment, coonnections 9 SimHeuristics ► Metaheuristics have been extensive applied to solve SCM problems with great success. § Griifis, Bell, Closs (2012), Metaheuristics in Logistics and Supply Chain Management, Journal of Business Logistics 33:90-106. ► Simheuristics extends metaheuristics capabilities through adding Simulation to solve Stochastic problem. § Juan, Faulin, Grasman, Rabe, Figueira (2015), A review of Simheuristics: extending metaheuristics to deal with stochastic optimization problems, Operations Resaerch Perpective, 2:62-72 10 © Helena Ramalhinho-Lourenço (Barcelona, 2015)) 5 SimILS Real-Life System with Uncertainty Simplifying Assumptions Complex DecisionMaking Mathematical Stochastic Model SimILS Mathematical Deterministic Model Simulation ILS 11 SimILS ► SimILS framework extending the original ILS framework 12 © Helena Ramalhinho-Lourenço (Barcelona, 2015)) 6 Applications ► Network Design Problem with marketing strategies § Locations, warehouse assignment and distributions strategies considering marketing policies. * Ramalhinho, Pagés, Juan (work in process) ► Stochastic inventory-routing problem § Optimal routing and refill policy in a single period § Monte-Carlo Simulation with Multi-start Randomized Clarke and Wright savings heuristic. * Juan, Grasman, Caceres, Bektas (2014) 13 Conclusions ► Supply Chain Management is a important topic for many companies today. ► Many decisions in SCM must be taken within an uncertainty environment. ► Simheuristics can play an important role in helping in decision making: 14 § § § § Simple Fast Flexible Accure © Helena Ramalhinho-Lourenço (Barcelona, 2015)) 7 Future Research ► Foresee more applications of simheuristics in SCM problems § Network Design Problems with International expansion, Logistics, Marketing Strategies § Collaborative transportation strategies in city distribution ► Main reference § Ramalhinho H. and Goméz Ravetti M (2016), Supply Chain Management in Handbook of Metaheuristics, editors M. Resende, P. Pardalos, R. Martí. 15 © Helena Ramalhinho-Lourenço (Barcelona, 2015)) 8