Reece Hutchings Sales Manager OPSI Systems Australia / NZ

Transcription

1 Network Planning and Optimisation Integrated Multi Principle Transport Management, Optimisation, and Visibility Paul Whiley Optimisation and Efficiency Mgr BevChain Reece Hutchings Sales Manager OPSI Systems Australia / NZ

2 About BevChain Joint Venture between Lion and Linfox National Operations ex 12 Company operated sites and 5 customer sites Pick, handle and deliver over 1 million cases per week to more than 30,000 delivery points Clients include manufacturers, wholesalers, distributors and retailers About OPSI Provides software solutions and consulting for transport planning, optimisation, management and auditing Over 300 customers in over 20 countries Customers from the small, medium and enterprise space from FMCG to courier, from dedicated fleets to outsourced operations

3 BevChain Supply Chain Involvement Manufacturer Retailer / Wholesaler DC Distributor State Warehouse / Cross Dock Regional Warehouse State Warehouse / Cross Dock Retail Store Hotel / Club / Bottle shop Importer Restaurant / Cafe Office / Home

4 A simple task - performed daily

5 Scheduling Constraints Order Format Product Profile Order Profile Delivery Point Restrictions

6 Order Format Orders received from over 20 customers each day EDIFACT, XML or CSV Via AS2, FTP, HTTP, Web Service, or Received into host system (BLiiS) and translated to XML format Collated based on order type local delivery, pickup, line-haul, transfer, etc Orders routed into PLATO for scheduling

7 Product Profile

8 Order Profile

9 Delivery Point Restrictions Size of vehicle match to site Time window for delivery Clearway / loading zone restrictions Unload type Set Delivery days Special Instructions

10 With so many constraints and variables, it is simply not possible to manually create efficient and cost effective transport plans daily. The challenge - to streamline transport and logistics processes to maximize efficiencies, customer satisfaction and profit margins. Data Scheduling Execution Strategy

11 Master Data Managing multiple Clients and multiple Order formats Geographic intelligence Levenshtein string matching Long/Lat proximity matching One master address

12 Master Data Short lead times and multiple constraints makes planning and execution essentially one and the same. That's why it is so critical that all of the details are modelled; Real world operating constraints Vehicle to site Product to vehicle Service windows Clearways, no access, no standing Easy or difficult to offload

13 Transaction Data Factoring in a different order mix every day Jobs of all sizes Available fleet Working hours and shifts

14 Scheduling Do not have the luxury of planning days in advance, therefore it is critical that all of the master and transaction data are modelled; Advanced algorithms to manage the myriad of complexities and optimise around these Route optimisation Load optimisation Customer service adherence versus Scheduling must have the flexibility to adapt to new customers requirements without compromising performance

15 Execution Visibility and customer service GPS tracking In field mobility and automation Planned vs actual reporting Learning and constant improvement

16 Strategy

17 Case Study Multi-principle 3PL optimisation case study DIFOT >99% 17% reduction in mileage Vehicle space utilisation up by 13% ROI 3 months