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La logistica intelligente Logistics and operations: issues and challenges 23 Maggio 2014, Cineca, Casalecchio Prof.Ing.Emilio Ferrari Dipartimento di Ingegneria.

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Presentation on theme: "La logistica intelligente Logistics and operations: issues and challenges 23 Maggio 2014, Cineca, Casalecchio Prof.Ing.Emilio Ferrari Dipartimento di Ingegneria."— Presentation transcript:

1 La logistica intelligente Logistics and operations: issues and challenges 23 Maggio 2014, Cineca, Casalecchio Prof.Ing.Emilio Ferrari Dipartimento di Ingegneria Industriale, UniBO

2 Agenda of the speech Advanced problems and issues in logistics and operations Advanced models and tools supporting decision making in logistics Exemplifying problem complexity and results _Food supply chain _Picking and correlated storage _CNH Spare Parts (Eng. Tommaso D’Alessandro)

3 Issues & challanges (1) Manufacturing and material handling Flexible manufacturing system (FMS) & cellular manufacturng Layout determination and optimization Line balancing (e.g. assembly system) Reliability and maintenance engineering Material handling (e.g. automated guided vehicles - AGV, LGV, etc.) CO 2 €

4 Issues & challanges (2) Logistic networks and Freight Intermodality Planning intermodal freight infrastructure and networks. Environmental impacts assessment of alternative transport modes. Distribution planning and scheduling handling operations. Clustering shipments in distribution planning. Strategic analysis of urban networks for passengers and freight. CO 2 €

5 Reverse networks and waste management Planning forward-reverse logistic networks. Design closed-loop supply chain for the management of waste and by-products. Assessment of environmental KPIs of reverse collection chain. Measuring environmental performance of alternative packaging materials. Collection fleet management and routing. By products management CO 2 € Issues & challanges (3)

6 Quality traceability and logistics of perishable products Enterprise touching base. Tracking shipments with on-board data loggers. Monitoring environmental stresses (temperature, humidity during logistics processes. Lab simulation of transport conditions in climate rooms. Sensorial and chemical analyses on stressed products to assess quality decay due to logistic processes. CO 2 € Issues & challanges (4)

7 Issues & challanges (5) Storage and warehousing system Design order picking systems (OPS) and storage areas. Storage allocation and storage assignment problems for perishable and non- perishable products. Assessment of time, energy and space efficiency in handling and storage operations. Design unit-load storage systems for beverage and bakery industry. Simulation and scheduling of storage and retrieving activities. Order-batching and zoning in OPS. Automation CO 2 €

8 Case studies 2 Food supply chain Storage system & warehosuing CNH Spare Parts (Eng.Tommaso d’Alessandro)

9 Food Issues & Food Supply Chain 2 Water supply Climate change Energy supply Hunger Demographic Development Urban/rural balance Land grabbing

10 An Integrated Perspective 4 The design of food supply chain as a whole, involves a broad set of processes and variables belonging to different stages from-farm-to-fork. An innovative approach aims to integrate decisions of agriculture source (i.e., LUAP) with decisions of logistics planning (i.e., LAP) for the design of a sustainable forward- reverse food supply chain. Spatial grid LatitudeLongitudeAltitudePopulationResources Solar Irradiance WindTemperatureHumidityRainfallSundaysThicknessMoistureTextureStructureCarbonateSodiumEvapo-transp. Manufacturing cap. Manufacturing variable costs Manufacturing fixed costs Manufacturing environmental impacts Storage cap. Storage mode Storage equip. Transport mean Distribution node Transport environmental impacts Food Demand Retailer node Packaging Recycling flows Collection node Recycling node Collection cap. Recycling cap. Agriculture decisions Logistics decisions Geography ClimateSoilProcessingDistributionConsumptionEnd-of-life

11 The proposed land-use allocation (LUA) model supports the design of sustainable agri- food production area. Assume to consider the agriculture, logistic, energy and environmental use as potential land-use. The objective is the minimization of carbon footprint (tons CO2eq) of the agro-food process including agriculture, food processing, and packaging through the adoption of renewable energy sources and mitigation strategies. Land-use allocation Model 4

12 Location-allocation model 4 The proposed location-allocation model supports the design of sustainable food forward and reverse distribution networks. Reverse networks support the collection of packaging materials, by-products or waste generated by production, storage or consumption. The objective function account two-fold objectives of minimizing carbon footprint or costs of the closed-loop supply chains. Forward Flow Reverse Flow

13 An Integrated Procedure 4 Supporting the connection of agri-food production areas and demand over a global scale through the design of sustainable food supply chain: V Layer Forward food flows Reverse package flows

14 AS-IS TO-BE monitoring, simulation and optimisation Case study 1 - Supply Chain assessment

15 As-Is vs To-Be – Impact Categories Effetto Serra (GWP) CO 2 CH 4 HC N2ON2O N2ON2O CO Assottigliamento Strato Ozono Atmosferico HC Acidificazione SO 2 NO x HC NH 3 Eutrofizzazione N2ON2O N2ON2O NO x NH 3 Smog Fotochimico CH 4 NO x CO HC

16 Anidride Carbonica Ossido di Azoto Ossido di Zolfo Protossido di Azoto Idrocarburi Metano Particolato Ammoniaca Monossido di Carbonio Case study 1 - As-Is vs To-Be – Impact KPIs

17 Storage system & Warehousing  Global supply chains continuously face criticalities related to material handling and logistic network.  Enterprises need to lead products from processing towards final consumer in a global context.  Logistics represents an opportunity as well as the main source of waste and costs. Distribution Center (DC) Warehousing system Material handling Inventory management Receiving/shipping Order picking Add value service

18 Supply Chain and Warehousing Distribution Center (DC) Warehousing system Material handling Inventory management Checklist Add value service Distribution Center (DC) Warehousing system Material handling Inventory management Checklist Add value service Product Supplying WIP Supplying Customer Demand Order Picking Unit-load picking sorting shipping receiving cost time

19 Order Picking Systems  ORDER PICKING: process of retrieving products from a storage area in response to a specific customer request. Reducing travelled distance and time for retrieval missions Order Picking Efficiency Decrease logistic costs. Minimize customer response time. Increase service level.

20 3 3 main problems in Fast Pick area optimization: 1.Which items we need to store in fast pick area? 2.Stock inventory level for each item in fast pick? 3.Where are the most suitable locations for each item?  Which items we need to store in fast pick area?  Stock inventory level for each item in fast pick?  Where are the most suitable locations for each item? STORAGE ASSINGNMENT RULES STORAGE ALLOCATION STRATEGIES Try to establish how much goods stored in Fast Pick area is required. Try to establish where allocate each stock within the Fast Pick area. 23 Questions in OPS

21 ITEMCLUSTERSIMILARITYPOPOUTUBICAZIONE Cluster F06F Cluster F55F Cluster F30A Cluster F01F Cluster F24A Cluster F21D Cluster F34F Cluster F20D Cluster 110,5203F25D Cluster 110,5309F09F Cluster 110,5510F21F02 …just an example, before the application of the correlated storage assignment C ASE STUDY 2 - C ORRELATED S TORAGE A SSIGNMENT

22 Prof.Ing.Emilio Ferrari University of Bologna Department of Industrial Engineering


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