Trends and Strategies in Logistics and Supply Chain Management - - PowerPoint PPT Presentation
Trends and Strategies in Logistics and Supply Chain Management - - PowerPoint PPT Presentation
Trends and Strategies in Logistics and Supply Chain Management Digital Transformation Opportunities Trends and strategies in logistics and supply chain management Timeline of the study Trends and Strategies in Logistics Trends and
Trends and Strategies in Logistics and SCM 2
Trends and strategies in logistics and supply chain management
Timeline of the study
“Trends and Strategies in Logistics 2000+: A Study of Logistics in Industry, Retail, Logistics-Service and other Service provider” “Trends and Strategies in Logistics: Agenda for Logistics Management in 2010” “Trends and Strategies in Logistics and Supply Chain Management - Embracing Global Logistics Complexity to Drive Market Advantage” “Trends and Strategies in Logistics” “Trends and Strategies in Logistics: Changing Supply Chains” „Trends and Strategies in Logistics – Global Networks in an Era
- f Change”
“Trends and Strategies in Logistics and Supply Chain Management – Digital Transformation Opportunities” 1991 2000 2005 2013 2002 2008 2016
Trends and Strategies in Logistics and SCM 3
The 2016 edition of the study was compiled by four partners.
Study partners
www.logu.tuhh.de www.ipri-institute.com www.horvath-partners.com lufthansa-industry-solutions.de
- Prof. Dr. Dr. h. c. Wolfgang Kersten
- Dr. Gabriele Reich
- Prof. Dr. Mischa Seiter
- Dr. Ralf Sauter
Trends and Strategies in Logistics and SCM 4
Supply Chain increasing data exchange
Technologies predictive analytics
requirements
profiles
requirements Business Models data-based business models Skills IT knowledge
Sneaker AG
China Laces Ltd.
Digital transformation
CEP
Trends and Strategies in Logistics and SCM 5
Digital transformation https://youtu.be/v1_y3mhd1dE
8,8 x 13,5
Trends and Strategies in Logistics and SCM
New and adjusted business models Changes in the supply chain Innovative technology concepts Trends and opportunities Changed competence requirements
Methodology
Strategic Map
7
Trends and Strategies in Logistics and SCM 8
Methodology
Research design and thematic focus
Trends and Strategies in Logistics and SCM 9
Methodology
Sample of the survey interviews
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Methodology
Topic areas of the online survey
Trends and Strategies in Logistics and SCM 11
Methodology
Breakdown of the online survey sample
8,8 x 13,5
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New and adjusted business models Changes in the supply chain Innovative technology concepts
Trends and opportunities
Changed competence requirements Methodology
12
Strategic Map
Trends and Strategies in Logistics and SCM 13
Trends and opportunities
Current trends
Cost pressure, individualization and complexity remain top trends, which are carried
- ver to the companies from external sources.
Digitalization and transparency in the supply
chain are the most important trends, and ones that companies will need to develop considerably in
the future.
Compared to 2012, the importance of sustainability has markedly increased. The most urgent action required relates to the growing staff shortage and upcoming applications
- f business analytics.
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Companies that acknowledge
digitalization as important and push ahead with implementation,
also tend to deal better than others
with customer-driven requirements.
Trends and opportunities
Dealing with exogenous and endogenous trends
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Trends and opportunities
Comparison of the estimated opportunities and risks
73% rate the opportunities that digital
transformation holds for their companies as
high to very high…
…however, more than half of the
companies take a wait-and-see position, until tried and tested solutions
become available. At the same time, one third of those surveyed, observe high to very high risks.
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Trends and opportunities
Expected impact on the cost situation
In the sectors of manufacturing and logistics services, more than half of the companies expect to either gain revenue
- r reduce expenditure.
In retail, as many as two thirds of the companies expect additional earnings, but only about 40% expect reduced
expenditure.
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Trends and opportunities
Top 3 drivers of digital transformation
The most important driver of
digitalization is the end costumer. Digitalization is driven from the
end of the supply chain.
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Innovative technology concepts
Trends and opportunities Changed competence requirements Methodology
18
Strategic Map
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Innovative technology concepts
Relevance and implementation
Predictive analytics and the
application of artificial intelligence hold enormous potential for optimizing
logistics processes. Access to data via mobile devices is highly relevant and
will be extended consid-
erably in the future. Sensor technologies are set
to become substantial data
sources for monitoring and
improving.
Trends and Strategies in Logistics and SCM
Mobile
- Mobile devices permit to access data; from everywhere
and at any time.
- For costumers they are an essential communication
channel, for employees a pocket sized super computer. Innovative technology concepts
Data as a value – technology as a provider
20
Sensor technology
- The complete admission of status data will be very
important in future.
- This includes not only the recording of the geographical
position but also of temperatures, videos...
Analytics
- A high quality data basis permits subsequent evaluation.
- Based upon this data basis future developments and needs
for action can be predicted.
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Innovative technology concepts
Use of sensor technology
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Innovative technology concepts
Use of predictive analytics
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Innovative technology concepts
Use of ERP
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Innovative technology concepts
Use of augmented reality
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Innovative technology concepts
Use of web based communication
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41% 37% 35% 31% 29% Inkompatibilität mit bestehenden Systemen/Schnittstellenproblematik Kosten waren höher als geplant Koordinationsschwierigkeiten zwischen Fachbereichen und IT Technologie ist für Anwendung noch nicht reif genug Unklare Use Cases bzw. Nutzenbewertung Innovative technology concepts
Top 5 implementation challenges
Many companies reach their limits, when it is about to dare new things, because the
IT-Infrastructure is very interwoven.
Everybody‘s task now is to do their
homework.
- Director Supply Chain Management, Retail -
„ „
Incompatibility with existing systems Higher costs than planned Coordination difficulties between department and IT Technology is not yet ready for application Unclear use cases
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New and adjusted business models
Changes in the supply chain
Innovative technology concepts Trends and opportunities Changed competence requirements Methodology
27
Strategic Map
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Changes in the supply chain
Logistics goal with highest priority
Primary logistics goal in retail and in
manufacturing is delivery reliability.
The logistics service sector rather focuses
- n fulfilling costumer needs.
Reliable and individually designed services at competitive prices become even
more important. The resulting complexity is best controlled with (digital)
technologies.
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- Individualization
drives complexity
- Ongoing integration
- f supply chains
- Dependency vs.
replaceability
- Realtime data
availability
- Better understanding
- f customers
- Higher willingness to
share data
- Online platforms
B2C/B2B
- Changing roles and
services
- 3D-printing
Individualization of material flows Data driven control Reorganization of value chains
Changes in the supply chain
The challenges
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Changes in the supply chain
Individualization of material flows
Omni-channel solutions are of great
relevance in retail and drive change in distribution logistics. The customer’s request for short delivery times and individually configured products follow decentralized
storage concepts and associated
infrastructural changes.
Mass customization solutions and
an adoption of existing processes, which allow a production in batch size 1 are requested.
Products and services demanded generally
become more fragmented and customized.
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Changes in the supply chain
Identified data groups and their classification
79% of the
respondents regard a transparent
supply chain as
important,
implementation difficulties remain
existent.
Trends and Strategies in Logistics and SCM 32
Changes in the supply chain
Data types with potential for exchange expansion
Companies increasingly part
from a strict security attitude.
However, companies often have to learn that the desired data is
not available, interfaces are not defined or the quality and the integrity of the
data is insufficient.
Trends and Strategies in Logistics and SCM
Changes in the supply chain
Reorganization of supply chains
33
Every single company needs to reevaluate and find
its new role within the supply chain.
The companies largely expect a reduction in
inventory, warehousing, and administrative costs as a result of digitalization. Retail, however, expects this to cause increased costs in packaging and returning goods. Material flows are increasingly re-regionalized,
production plants are build closer to the markets.
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Changed competence requirements
Methodology
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Strategic Map
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Changed competence requirements
Existing skills
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Changed competence requirements
Development of data analysis
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Changed competence requirements
Future development of skills
An intuitive use of IT will be required even more by skilled workers and managers. To keep up with the speed of
digitalization the implementation of a fast failure culture can be helpful.
This requires the willingness to experiment
and innovate and a positive handling of mistakes on all levels.
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Changed competence requirements
Challenges of further qualification
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Changed competence requirements
Data scientist skills
One possible orientation concerning the major skill requirements of the future (especially considering the increasing use of big data sets) would be for companies to take a look at the skillset of a data scientist. The task of the data scientist is the structured
identification and analysis of data. Data analysis
focuses on gaining insight into commercial and business management issues, aiming to derive impacts on the company and ultimately finding solutions. To some extent the different skill areas of the data scientist
- verlap.
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Changed competence requirements
Actions in digital competence screening*
* Source: cf. Bayrle, C. (2017): Digital Competence Screening: Kompetenzen für datenbasierte Dienstleistungen identifizieren – Ein Handlungsleitfaden. IPRI Praxis Nr. 25, Stuttgart. In press.
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Changed competence requirements
Overview of measures to integrate necessary skills
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New and adjusted business models
Changes in the supply chain Innovative technology concepts Trends and opportunities Changed competence requirements Methodology
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Strategic Map
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New and adjusted business models
Relevant competitive advantages in the next five years
Asked about major competitive advantages in five years’
time, the survey participants named those factors which are already important today (e.g. flexibility regarding customer demands, quality of services/products, adaptability to changing market
conditions, prompt service fulfillment, as well as value for inexpensive products and services.
Flexibility regarding customer demands is seen as the most important factor. 44.4% of the logistics service providers in the survey
regard the competitive advantage of flexibility as relevant for the future.
In relative terms, the aspect of data (end-to-end data transparency
and owner-ship of end-customer data) is the most important to
retail companies, while manufacturers rank the ability to innovate as the most important.
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New and adjusted business models
Business models – how to describe them? Business Model Canvas*
Key partners Key activities Value proposition Customer relationships Customer segments Key resources Channels Cost structure Revenue streams
HOW? WHAT? WHO? VALUE?
* Source: Osterwalder, Alexander; Papadakos, Trish (2015): Value Proposition Design. Entwickeln Sie Produkte und Services, die Ihre Kunden wirklich
- wollen. Beginnen Sie mit…[Die Fortsetzung des Bestsellers Business Model Generation!]. Frankfurt am Main: Campus.
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New and adjusted business models
Digitalization of business models
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New and adjusted business models
Business model innovation
Analytics-driven: The starting point for this method are the findings generated from data.
An analytics-driven business model innovation can be based on the business analytics
process (see fig.). Model example: Analytics for optimization Customer-driven: In contrast to analytics-driven business model innovations, these are
driven by customer needs. The business analytics process can then be used to satisfy specific
customer needs. Model example: Object-Self-Service Payment-driven: The starting point here is the data itself, which serves as the means of
- payment. The business model is adapted in terms of the way in which income is generated
(e.g. data as a payment). One possible example in the B2B field in logistics is a shipper that sends its own data (e.g. loading frequencies, loading times) to the logistics service provider, who can then use this data to optimize its own order planning as it improves its ability to predict and satisfy demand. In return, the shipper receives a price reduction. Primarily, this changes the way in which income is generated but it also affects the customer relationship, core activities and key resources.
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Strategic Map
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Strategic Map
Map for a digitally transformed logistics and supply chain management
Trends and Strategies in Logistics and SCM
Strategic Map
Focus: Company transformation
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- Monitor current future development paths in a structured way
- Initialize the adoption of relevant technology concepts
- Consider the impact on the whole value chain
- Define pilot projects that allow the learning experiences to be
transferred to a wide range of follow-up projects
- Consider the end-customers as driver of the digitalization in all
projects
- Identify the future needs of the (end-)customers and the
respective impact on the supply chain
- Modularize production and logistics systems to ensure flexibility
- Create own, internally aligned understanding of digitalization
- A holistic digitalization strategy helps to avoid inefficiencies due
to selective, individual efforts
- The company transformation should be rigorously and actively
pursued
- A comparison between the actual and the future target state is
essential(e. g. digital competence screening)
- Determine already existing skills and develop new competences
in a structured way
- Equally involve skilled workers and managers
Digital transformation anchored in the strategy Structured determining of skill requirements Consistent focus on the (end-) costumer Developing a digital technology calendar New and adapted business models Changed competence requirements Innovativ technology concepts
Goal: Digital transformaton is an integral part of the strategy
Changes in the supply chain
Trends and Strategies in Logistics and SCM
Strategic Map
Focus: IT and data
50
- Consistent expansion and use of existing sensor technology
- Support efforts to make data available on mobile
- Provide employees, partners and customers with aggregated data
according tot heir choices and authorization
- Identify the advantages for each stakeholder and make these a
top priority during the change process
- Clean up the IT-systems by defining standards and interfaces that
allow for a continuous data exchange
- Check all elements of the business model concerning the
digitalization potential
- Optimize internal company processes, services and products;
- ffer newly created services or products
- Promote the acquisition of programming skills, data analysis skills
and the intuitive use of IT for both, skilled workers and managers
- Use resource-saving measures to integrate competences (e.g.
acquire them "as a service" or initiate pilot projects first) Active and purposeful use of available data Targeted development of IT skills Ensure continuous data exchange Using sensor technology for data collection and enabling mobile access New and adapted business models Changed competence requirements Innovativ technology concepts
Goal: Digital Transparency is guaranteed across the whole supply chain
Changes in the supply chain
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Strategic Map
Focus: Innovations
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- Use intelligent, data based analysis as an idea generator for
innovations
- Prioritize the innovation projects
- Accelerate innovations within small projects
- Use of versatile, flexible logistic concepts
- Take new, courageous paths quickly and manage the risk by
predefining exit paths
- ldentify and integrate new partners and future stakeholders for a
flexible collaboration
- Develop new business models based on available and analyzed
data
- Accelerate customer-driven business model innovations
- Use of test fields for digital business model innovations
- Create small innovation sites for digitalization
- Allow employees to freely create and prototype innovations
- Decentralize decision-making-authority
- Analyze the effects of speed vs. perfection for the own company
Driving business model innovations Developing fast failure culture Fast development of flexible networks Using predictive analytics as an impulse New and adapted business models Changed competence requirements Innovativ technology concepts
Goal: Competitiveness is ensured
Changes in the supply chain
Trends and Strategies in Logistics and SCM
Thank You.
52
A full appendix featuring results detailed by sectors, branches and company sizes can be found on the homepage
- f the study!
Please use the following link for more information:
logistiktrends.bvl.de/en
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