La logistica intelligente Logistics and operations: issues and - - PowerPoint PPT Presentation

La logistica intelligente

Logistics and operations: issues and challenges

23 Maggio 2014, Cineca, Casalecchio Prof.Ing.Emilio Ferrari Dipartimento di Ingegneria Industriale, UniBO

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)

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.)

CO2

€

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.

CO2

€

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

CO2 €

Issues & challanges (3)

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.

CO2 €

Issues & challanges (4)

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

CO2 €

Case studies

2

• Food supply chain
• Storage system & warehosuing
• CNH Spare Parts

(Eng.Tommaso d’Alessandro)

Food Issues & Food Supply Chain

2

Water supply Climate change Energy supply Hunger Demographic Development Urban/rural balance Land grabbing

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 Latitude Longitude Altitude Population Resources Solar Irradiance Wind Temperature Humidity Rainfall Sundays Thickness Moisture Texture Structure Carbonate Sodium Evapo-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 Climate Soil Processing Distribution Consumption End-of-life

• 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

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

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

AS-IS TO-BE

monitoring, simulation and optimisation

Case study 1 - Supply Chain assessment

Logistic network of fresh products for a retailer company

As-Is vs To-Be – Impact Categories

Effetto Serra (GWP)

CO2 CH4 HC N2O CO

Assottigliamento Strato Ozono Atmosferico

HC

Acidificazione

SO2 NOx HC NH3

Eutrofizzazione

N2O NOx NH3

Smog Fotochimico

CH4 NOx CO HC

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

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

Supply Chain and Warehousing

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

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.

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.

2 3

Questions in OPS

ITEM CLUSTER SIMILARITY POPOUT UBICAZIONE 1507301 Cluster 35 1 7 06F06F02 1507300 Cluster 35 1 7 06F55F11 1103398 Cluster 06 1 1 04F30A01 5037269 Cluster 06 1 1 10F01F05 1344376 Cluster 06 1 1 01F24A01 1440472 Cluster 06 1 1 09F21D02 1518007 Cluster 25 1 2 04F34F01 1704635 Cluster 25 1 2 06F20D01 1383759 Cluster 11 0,5 2 03F25D02

…just an example, before the application of the correlated storage assignment

CASE STUDY 2 - CORRELATED STORAGE ASSIGNMENT

Prof.Ing.Emilio Ferrari

emilio.ferrari@unibo.it

University of Bologna Department of Industrial Engineering http://warehousing.diem.unibo.it/ http://foodsupplychain.diem.unibo.it/