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Ship Supply Data Management

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Presentation on theme: "Ship Supply Data Management"— Presentation transcript:

1 Ship Supply Data Management
A joint opportunity to improve supply chain performance June 18, 2004

2 Data Management Session Objectives
Identify the impact of poor data management on the ship supply chain. Discuss the basic building blocks of proper data/product communication. Agree on realistic, manageable steps to improve supply chain performance. Emphasize collaboration as a critical part of the supply chain optimization strategy 29 November 2018

3 Agenda 12:00 The ship supply data management challenge
Presentation 12:25 Supply chain challenges caused by poor data management Interactive/working session 12:40 A recommended data management collaboration plan 13:00 Lunch 15:00 Feedback 29 November 2018

4 Agenda 12:00 The ship supply data management challenge
Presentation Why it is important The building blocks of collaborative data management 12:25 Supply chain challenges caused by poor data management 12:40 A recommended data management collaboration plan 13:00 Lunch 15:00 Feedback 29 November 2018

5 Exchanging Supply Chain Data – An Example
“Welcome to McDonald’s. May I take your order?” 29 November 2018

6 Welcome to McDonald’s. May I take your order?
Buenos Dias. Queiro dos Big Macs, veinte McNuggets de pollo, dos papas fritas grandes, cuatro papas fritas pequenas, dos Coca Colas, y cuatro McFlurrias vainillas pequenas por favor. Language - Perfect request, but only understood in a certain parts of the world. Hi there. I would like two Big Macs, twenty Chicken McNuggets, two large fries, four small fries. Incomplete data – time is lost clarifying request. Would you like any drinks with that order, sir? Yes, two large Coca Colas and four small vanilla milkshakes. Now the request is complete. Howdy Partner! Can you rustle me up a couple of Big Macs, a box of them nugget things, a whole mess of fries, a couple of pops, and a few shakes. Non-standard descriptions Missing Quantity and Units 29 November 2018

7 Welcome to McDonald’s. May I take your order?
Greetings. I would like a strip steak with broccoli and a glass of Merlot. My partner will have a poached salmon with asparagus and a glass of Chardonnay. Inappropriate request for this supplier. Customer receives a Hamburger, a Filet- O-Fish, 2 Side Salads, a Cherry Coke, and a Sprite. Feed me. Everything is wrong here, but we try to provide service anyway because it is a customer. Hi there. I would like two Big Macs, twenty Chicken McNuggets, two large fries, four small fries, two large Coca Colas, and four small Vanilla Milk Shakes. This is correct. More important, it will survive either the drive thru or self-service. McDonald’s solves the problem with a fairly simple menu, value meals and additional servers. 29 November 2018

8 Ship Supply Data – The Basics
Supplier Needs to Know: What specifically is needed? ISSA/IMPA Numbers, MA References, Manufacturer Part Numbers Units of Measure Properly Specified Quantities Consistent Descriptions What vessel (equipment) is it for? IMO Numbers, Vessel Name Nameplate info Where do you need it? UN Port/City codes When do you need it? Due Date Buyer Needs to Know: What do you supply? Where can you supply it? When can you supply it? What does it cost? Supplier Unstructured Request Fully Specified PO Specification Challenge $ $ $ $ $ $ $ $ $ $ $ $ $ 29 November 2018

9 e-Ship Supply Management – Some History
Nirvana Perfect Content Efficient Medium Common Language Content 3 Data Quality Exception Methodology Medium 2 TradeNet Language 1 English MTML Where we started Poor Content Inefficient Media Multiple Languages 29 November 2018

10 e-Ship Supply Management – Moving Up the Ladder
Manual Internal Automation Connectivity Supply Chain Collaboration Integration Shipping Co. Business Process Supporting Technology Communication Method Product Data Two way automation Trading Platform MTML Match/link between buyer and supplier databases One way automation is likely May or may not match Internally standardize, optimize across organization Buyer: procurement system, PMS. Supplier: CRM, Sales mgt system. Fax, Uniform centralized product database Organic None Unstructured Manual Internal Automation Basic Connectivity Supply Chain Collaboration Integration Supplier 29 November 2018

11 e-Ship Supply Management – Collaboration
Supply Chain Collaboration Integration Win-Win Collaboration Buyer Supplier Some feel that effective supply chain integration and automation is only possible with perfect data management or the interfaces cannot work to their full potential. NOTHING GETS ACCOMPLISHED Fortunately, achieving benefits of effective data management is not “all or nothing” – taking measured, well-defined steps can result in dramatic improvement. SUCCESS BEGETS SUCCESS 29 November 2018

12 Agenda 12:00 The ship supply data management challenge
12:25 Supply chain challenges caused by poor data management Interactive/working session Impact of poor data management on the shipping company and the supplier 12:40 A recommended data management collaboration plan 13:00 Lunch 15:00 Feedback 29 November 2018

13 Supply chain inefficiencies related to poor data management
Lene Shipping Lines, A/S Staffin Marine Supplies and Spares, Ltd. When the basic data elements are not in place and efficiently shared, what are the challenges? Written brainstorm (3 min) List business/process impacts (5 min) Clarification/discussion (5 min) Supplier Unstructured Request Fully Specified PO Specification Challenge $ $ $ $ $ $ $ $ $ $ $ $ $ 29 November 2018

14 Agenda 12:00 The ship supply data management challenge
12:25 Supply chain challenges caused by poor data management 12:40 A recommended data management collaboration plan Interactive/working session Where to start Initiatives for the buyer, supplier – individually and jointly The role of ShipServ 13:00 Lunch 15:00 Feedback 29 November 2018

15 Determining the Starting Point
Internal Evaluation How many of the essentials can my system provide/accept? How much is already in place? Are procedural (i.e. non-programming) changes possible to fill the gaps? Are exceptions handled consistently? Who is (should be) responsible for data management Within the organization? Between organizations? 29 November 2018

16 Initiative Framework Initiatives Benefiting the Buyer
ShipServ can facilitate the process Initiatives Benefiting Both Sides Initiatives Benefiting the Supplier Structured Request Fully Specified PO Specification Challenge Supplier $ $ $ $ $ $ $ $ $ $ $ $ 29 November 2018

17 Solutions/Initiatives – Immediate Future
Lene Shipping Lines should initiate the following to improve supply chain performance: Staffin Marine should initiate the following: Lene and Staffin should jointly do the following: ShipServ can facilitate the data management process by doing the following: 29 November 2018


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