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In cooperation with:
endowed by the Kühne Foundation
Navigating German-Chinese Logistics
Networks
–
Successfully Managing Supply Chain Volatility
(Summary of Workshop Results)
Prof. Dr. Frank Straube
Benjamin Nitsche, Dipl.-Ing.
Joel Cedric Lengeling, M.Sc.
Peter Verhoeven, M.Sc.
Shanghai, March, 2017
12th Workshop on German-Chinese
Logistics Networks
Agenda
– 2 –
1. Introduction and Procedure of the Workshop
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
3. Future Challenges in International Logistics Networks
(Workshop III)
Agenda
– 3 –
1. Introduction and Procedure of the Workshop
a. Introduction to Supply Chain Volatility
b. Procedure of Workshop I+II
c. Procedure of Workshop III
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 4 –
Volatility – What is it all about?
Development of a definition
… …
Manufacturer
Suppliers Customers
t
Vo
lum
e
t
Vo
lum
e
?
Supply chain volatility (SCV) is defined as the steady state of unplanned variation of upstream
and downstream material flows resulting in a mismatch of supply and demand at the focal firm
originating internally, endogenous to the supply chain and exogenous to the supply chain.
Consequences
dissatisfied
customers
inappropriate
inventory levels
special freight
costs
inappropriate
capacity utilization
Definition of supply chain volatility
others...
Origin
internal
e.g.
Endogenous to the SC
Exo
ge
no
us
toth
eS
C
Exogenous
toth
eS
C
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 5 –
Supply Chain Volatility – Old wine in new bottles?
Traditional Causes Comparatively New Causes
Arising Challenges and Open Questions
• While a lot of companies still struggle to deal with traditional causes of volatility, comparatively new
causes challenge them additionally
• To deal with volatility, companies need to understand the mechanisms that cause volatility and
identify areas to focus on to efficiently manage their supply chain
Unpredictable customer demand
Forecasting errors
Inefficient information exchange
Bullwhip-effect
Unreliable suppliers
1. Globalization
• Increasing outsourcing rates, especially
emerging market sourcing
• SCs are getting more prone to political, legal
and currency instability
2. Increasing volatility of markets
• transport and logistics market faces a growing
volatility in transport volumes leading to higher
logistics costs due to expenses for covering
peaks or unutilized capacities
Others...
3. Digitalization
• potentially new challenges arising from it (e.g.
increasing demand volatility)
• potentially brings relief to many traditional
causes of volatility
Combining a previous workshop with a comprehensive set of
literature lead to a conceptual framework of supply chain volatility
organizational
volatility
vertical volatility
market-related
volatility
institutional and
environmental
volatility
supply chain
volatility
unstable
production
processes
inaccurate
forecasting
misleading
ordering policies
intra-
organizational
misalignment
self-induced price
variations
(to affect sales)
missing SC
coordination
missing SC
visibility
supply variability long lead-times
variable lead-
times
price variations
(induced by SC
partners)
high level of
competitionseasonality
short product life
cycles
highly innovative
products
national economic
& financial
instability
exceptional
environmental
events
political and legal
instability
behavioral
volatility
Meta-sources of SCV Dimensions of SCV
unpredictability of
customer demand
erratic behavior of
decision makers in
the SC
self
-ind
uce
den
do
gen
ous
to t
he
SC
exogen
ous
to
the
SC
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 7 –
In the following we exclude the dimension of institutional and
environmental volatility and focus on the first four dimensions of
supply chain volatility.
organizational
volatility
vertical volatility
market-related
volatility
supply chain
volatility
unstable
production
processes
inaccurate
forecasting
misleading
ordering policies
intra-
organizational
misalignment
self-induced price
variations
(to affect sales)
missing SC
coordination
missing SC
visibility
supply variability long lead-times
variable lead-
times
price variations
(induced by SC
partners)
high level of
competitionseasonality
short product life
cycles
highly innovative
products
behavioral
volatility
Sources of SCV Dimensions of SCV
unpredictability of
customer demand
erratic behavior of
decision makers in
the SC
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 8 –
Results of AHP assessment from previous workshop:
Average of all participants
organizational
volatility
vertical volatility
market-related
volatility
supply chain
volatility
unstable
production
processes
inaccurate
forecasting
misleading
ordering policies
intra-
organizational
misalignment
self-induced price
variations
(to affect sales)
missing SC
coordination
missing SC
visibility
supply variability long lead-times
variable lead-
times
price variations
(induced by SC
partners)
high level of
competitionseasonality
short product life
cycles
highly innovative
products
behavioral
volatility
Sources of SCV Dimensions of SCV
unpredictability of
customer demand
erratic behavior of
decision makers in
the SC
5,2 4 10
3 5 7,3
1,5 6 5
2,1 7,9 3,1
11,5 3,4
8,7 11,6
4,8
34,1
27,6
20,3
17,9
n=17
Numbers shown above indicate the percentual impact of a source,
respectively dimension, on SCV (e.g. „inaccurate forecasting“ impacts
SCV by 11,5 %). All sources quall 100% and all dimensions equal
100%.
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 9 –
AHP results analyzed by production strategy
Top level: Dimensions of SCV
N=4 N=7 N=6 Summary
For different production strategies, SCV
arises from different dimensions.
For Engineer to Order products, SCV
evenly arises from all four dimensions while
the source of unpredictability of customer
demand and high level of competition
seem to have the biggest impact on SCV
For Make to Order products, SCV is mostly
induced by organizational volatility, more
specifically by an intra-organizational
misalignment
Make to Stock products suffer most from
inaccurate forecasting and the
unpredictability of customer demand and
a high level of competition
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 10 –
AHP results analyzed by lead time (in days)
Top Level: Dimensions of SCV
N=5 N=6 N=6 Summary
the length of lead times seems to affect the
relative impact of the vertical and
organizational volatility dimension
The longer the total lead time of the product
gets, the more volatility arises from the
vertical dimension
For products with comparatively short lead
times, companies should focus on mitigation
self-induced volatility from the organizational
dimension, especially arising from an intra-
organizational misalignment and
inaccurate forecasting
Additionally, products with comparatively
short lead times suffer more from the
unpredictability of customer demand
(days)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 11 –
Key take-aways from previous research on supply chain
volatility
SCV results in a mismatch of supply and demand at the focal firm that originates internally,
endogenous to the supply chain and exogenous to the supply chain.
SCV arises from five dimensions: (1) organizational, (2) vertical, (3) behavioral, (4) market-
related and (5) institutional and environmental volatility.
From the first four dimensions the six most impactful sources of SCV are intra-organizational
misalignment, inaccurate forecasting, long lead times, unpredictability of customer demand,
erratic behavior of decision makers in the supply chain and high level of competition.
For products with comparatively short lead times, companies should focus on organizational
volatility first when trying to manage SCV.
The longer the total lead time of a products gets, the more companies should focus on
mitigating vertical volatility as well.
SCV has to be understood as a multidimensional phenomena.
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 12 –
The first two workshop aim at identifying measures dealing
with volatility.
Generation of strategies dealing with
supply chain volatility
Future Challenges in International
Logistics Networks
Workshop I&II Workshop III
Goal
• discuss most pressing sources of
volatility and their effect on your
business
• joint identification of strategies to
cope with the selected sources by
applying the nominal group
technique among interdisciplinary
groups
Goal
• identify and discuss future
challenges in international SCM and
how research can support
practitioners
Agenda
– 13 –
1. Introduction and Procedure of the Workshop
a. Introduction to Supply Chain Volatility
b. Procedure of Workshop I+II
c. Procedure of Workshop III
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 14 –
In the following, we will focus on six sources that have been
rated as impactful in previous workshops
Inaccurate forecasting
customer demand forecast does not
meet the actual demand and has to
be changed constantly
Intra-organiz. misalignment
Plans and actions of different
departments within the own
organization are not well coordinated
e.g. conflicting goals, competition
among different value streams,
misaligned organizational plans such
as forecasts
Long lead-times
the total amount of days between
ordering a component at a supplier
and delivering a final product to a
customer is very high
e.g. due to global sourcing
Erratic behavior of decision makers in the supply chain
degree to which decision makers react irrationally and unpredictably to certain events
e.g. over- or underestimation of demand or supply signals, strategic interactions among supply chain partners or a lack of consideration of already placed orders, changing order quantities that are generated by system
Unpredictability of customerdemand
the customer demand is very uncertain
and hard to predict
e.g. the customer changes already
placed orders on a regular basis
High level of competition
is characterized by a very high
number of offered product variants at
the market and/or a very high number
of competitors
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 15 –
Goal of the workshop
We aim at jointly identifying strategies dealing with the most pressing sources of
supply chain volatility.
Don’t feel hindered to be creative!
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 16 –
Workshop Groups
Group 1Moderator: Benjamin Nitsche
Sources of SCV
1. Intra-organizational misalignment
2. Long (and variable) lead times
3. unpredictability of customer
demand
Group members
• Grace Guan, Bosch
• Lin Xialoi, Bayer Healthcare
• Jiang Wie, Schaeffler
• Jannis Waldmann, AMA Freight
• Quiong Wang, Rittal
Group 2Moderator: Peter Verhoeven
Group 3Moderator: Maurice Palmen
Sources of SCV
1. Inaccurate forecasting
2. Erratic behavior of decision makers
3. High level of competition
Group members
• Oliver Scheel, 4flow
• Hatty Wang, Lenze Drive Systems
• Bastian Zhang, Kuehne+Nagel
• Diane Cai, Bayer
Sources of SCV
1. Intra-organizational misalignment
2. Long (and variable) lead times
3. unpredictability of customer
demand
Group members
• Janet Zhang, Bayer
• Thomas Haug, Reyher
• Kelvin Xie, TNT
• Michael Hu, Siemens Medical Eqt.
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 17 –
Workshop I – Generation of strategies dealing with supply chain
volatility
In each group: individual
sharing of ideas and
opinions, followed by a short
discussion.
20 min each
In each group: individual
generation of possible
strategies dealing with each
source.
10 min each
Short discussion and summary
of results on flipcharts.
1
For each source, please apply this procedure
At the beginning, choose a time keeper and a group leader to
present the results to the plenum.
32
10 min each
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 18 –
Presentation of results of workshop I/II
1
Each Group 5-7 min
Presentation of strategies to deal
with volatilityFeedback and comments by
other groups
2
3-5 min
Agenda
– 19 –
1. Introduction and Procedure of the Workshop
a. Introduction to Supply Chain Volatility
b. Procedure of Workshop I+II
c. Procedure of Workshop III
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 20 –
Workshop Overview
Generation of strategies dealing with
supply chain volatility
Future Challenges in International
Logistics Networks
Workshop I&II Workshop III
Goal
• discuss most pressing sources of
volatility and their effect on your
business
• joint identification of strategies to
cope with the selected sources by
applying the nominal group
technique among interdisciplinary
groups
Goal
• identify and discuss future
challenges in international SCM and
how research can support
practitioners
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 21 –
Workshop III: 5-3-5 Brainwriting - The Method
+Procedure
• 4 or 5 participants
• Steps:
• Narrow down the topic
• Each participants writes down
3 challenges in 5 minutes
• Pass worksheet to neighbor
• Each participants writes down
3 new challenges using the
previous ideas
• (Detailed procedure on the next
Slide)
Motivation
• German/Chinese Navigator workshops are a origin for knowledge exchange between science
and industries
• We are currently examining different research areas
• Help shaping our future research focus
Many ideas (4/5 people
generate 48/75
possible content
ideas)
Valorizes the possible
different backgrounds
of participants since it
encourages sharing
and exchanging
knowledge
Very efficient method
Challenges
1 2 3P
art
icip
an
ts
1 …
2
3
4
5
6
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 22 –
Future Challenges in your International Supply Chains
Clustering the ideas in a
framework. Try to find
categories in which you can
sort all of your ideas.
15 min5 min each
2
At the beginning, choose a time keeper and a group leader to present the results to the plenum.
5
Individual generation of
challenges to deal with
the trend.
5 min each
1
Please elaborate future challenges that you see in your international supply chains in the next
years. Preferably in areas were you are seeking scientifically support and knowledge exchange
with other industries.
4
Repeat until all lines on the
worksheet are filled.
Pass the
worksheet to your
left neighbor.
3
Individual generation of three
challenges using the previous
ideas on the worksheet (e.g.
adding something, enhancing
etc.)
Agenda
– 23 –
1. Introduction and Procedure of the Workshop
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
a. Intra-organizational misalignment
b. Inaccurate forecasting
c. Long lead times
d. Unpredictability of customer demand
e. Erratic behavior of decision makers in the SC
f. High level of competition
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 24 –
Strategies dealing with „Intra-organizational mislalignment“
weekly S&OP meetings
silo-breaking cross-functional S&OP teams
clear guidelines how to react to changing
demand/supply throughout the organization
in-depth value-stream analysis and optimization
shared goals (efficient company-wide target setting to
break silo-thinking
Team events across departments
Internal social media platform
Improvement-process-marketplace (internal platform
for process improvement ideas to increase
employees involvement)
Other strategies
development of clear company-
wide code of communication to
increase speed of communication
as well alignment among different
departments
Communication language
Intra-organizational misalignment
lower number of hierarchy levels
consistent centralized or
decentralized organizational
approach throughout the
organization
Lean-organization
cascades through the
organization
responsibilities rather
concentrated in one person that in
multiple
can be re-adjusted bottom-up
Clear top-down alignment strategy
alignment of
management team by
harmonized KPIs
reduction of KPIs should
be targeted
switch from KPIs for
departments/functions to
purpose-driven company-
wide KPIs (total profit,
customer satisfaction
etc.)
KPI reductionand alignment
Early involvement of
logistics in development
process and following
stages to include often
underestimated topics
like customs or
packaging
rolling test-assess-
change cycles among all
relevant department to
ensure feasibility on all
stages
Agile project management
Agenda
– 25 –
1. Introduction and Procedure of the Workshop
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
a. Intra-organizational misalignment
b. Inaccurate forecasting
c. Long lead times
d. Unpredictability of customer demand
e. Erratic behavior of decision makers in the SC
f. High level of competition
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 26 –
Strategies dealing with „Inaccurate forecasting“
Inaccurate forecasting
In case of inaccurate forecasts, trace back the root
causes and challenge current models and assumptions
Continuous, iterative process of small improvements
Lessons learned have to be disseminated
Forecasting CIP (continual improvement process)
defined standards for forecasting
globally (all regions) and on all department levels
same source of data
underlying models and assumptions have to be
transparent
expectations on accuracy of forecasts have to be
defined
Aligned and standardized internal forecast
reduce complexity of
forecasts by increased
number of standard parts
Component standardization
Integrated system with supplier and customer to
share relevant data for more accurate forecasts
Frequent communication with customer and
supplier about forecasting changes and their
reasons rather than just updating them
Honest feedback in all directions, no finger-
pointing
Close communication loopalong the SC
Align forecasts throughout
the SC (customer, LSPs,
supplier) base on same
assumptions and source
of data
SC forecastingalignment
Agenda
– 27 –
1. Introduction and Procedure of the Workshop
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
a. Intra-organizational misalignment
b. Inaccurate forecasting
c. Long lead times
d. Unpredictability of customer demand
e. Erratic behavior of decision makers in the SC
f. High level of competition
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 28 –
make use of new technologies, e.g. fully automated
warehouses
standardization decrease level of customization
Reduce quality release times
Regional distribution centers
End-to-end lead time visibility as starting point for
improvement
Safety stock increase
Other strategies
including follow-up actions such as
trainings or improvement projects
Regular supplier visits and audits
Long lead times
in case estimated lead time of
main supplier cannot be met,
backup supplier has to cover it
Dual/multi sourcing
to identify waste and eliminate
unnecessary processes
In-depth SC value-stream analysis and process mapping
to help supplier better
preparing for upcoming
orders and consequently
reducing lead times
have to be binding to a
certain extend to initiate
activities at supplier
Provision of rolling forecast to supplier
utilize local suppliers
instead of buying in low
cost countries
higher cost are often
overcompensated by
better forecasting
accuracy, close
communication, etc.
Localization
Strategies dealing with „Long lead times“
Agenda
– 29 –
1. Introduction and Procedure of the Workshop
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
a. Intra-organizational misalignment
b. Inaccurate forecasting
c. Long lead times
d. Unpredictability of customer demand
e. Erratic behavior of decision makers in the SC
f. High level of competition
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 30 –
Strategies dealing with „unpredictability of customer
demand“
instead of trying to perfectly
forecasting customer
demand, increase logistics
capacities to cope with
short-term demand
fluctuations
Increase logistics flexibilities
send best demand planners to
customers in order to transfer
strategies/concepts for demand
forecasting to the customer in order
to reduce unpredictable demand
behavior of customer
Transfer of demand planning competencies
Unpredictability of customer demand
analyze behavioral patterns of
customer and understand the
cause of certain behavior
joint analysis with customers is
beneficial for both sides
Root cause analysis for customer behavior
categorize different customer
groups and define customized
strategies dealing with them
instead of one-size-fits-all
approaches
Customer segmentation
instead of firefighting the
constant mismatch of
supply and demand, setup
proactive strategies to deal
with different scenarios
Establishment of proactive mindset
increase communication between logistics and
marketing/sales departments
market-analysis to get more insights into
industry, market segments, customer types,
trends, competitors etc.
internal resource-allocation-system
(centralized resource allocation system to
serve customer demand to avoid internal
competition for resources among departments)
setup frozen zones
Other strategies
Agenda
– 31 –
1. Introduction and Procedure of the Workshop
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
a. Intra-organizational misalignment
b. Inaccurate forecasting
c. Long lead times
d. Unpredictability of customer demand
e. Erratic behavior of decision makers in the SC
f. High level of competition
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 32 –
short communication chains
clear responsibilities
Lean communication
Proactively analyze processes
anticipate and assess erratic
behavior
mitigate possibility and/or impact of
erratic decisions
continuous process
Proactive risk management
Erratic behavior of decision makersin the SC
whenever erratic behavior occurs
that induces volatility, the drivers
behind such behavior have to be
analyzed and understood
open and honest communication
of problems without any blaming
rather than hiding them
continuous improvement process
Root cause analysis
reduce the effect of erratic
decisions of individuals by cross-
departmental approval including
logistics
nevertheless, speed of decision
process should not be hindered
Standardized decision makingand approval processes
Encourage employees in telling
the truth
Mistakes can happen once but
should not happen twice
Allow mistakes (once)
same goals lead to less erratic
decisions within the organization
Cross-departmental goal alignment
Strategies dealing with „Erratic behavior of decision makers
in the SC“
Agenda
– 33 –
1. Introduction and Procedure of the Workshop
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
a. Intra-organizational misalignment
b. Inaccurate forecasting
c. Long lead times
d. Unpredictability of customer demand
e. Erratic behavior of decision makers in the SC
f. High level of competition
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 34 –
Strategies dealing with „High level of competition“
High level of competition
integration/cooperation with
customer
longer contractual periods
Long customer relationships
identification and management of
market trends and risks early in
advance
Market research
stabilize market share by clear
focus on innovative areas
Specialization/Innovation
decrease number of product
variants offered at the market to
decrease the level of internal
competition
Product variety reduction
focus on cost down to gain
competitive advantage
Low cost as USP
Agenda
– 35 –
1. Introduction and Procedure of the Workshop
2. Strategies Dealing with Supply Chain Volatility (Workshop I+II)
3. Future Challenges in International Logistics Networks
(Workshop III)
Successfully Managing Supply Chain Volatility (Summary of Workshop Results)
Prof. Dr.-Ing. Frank Straube
Department of Logistics, Technische Universität Berlin – 36 –
Future Challenges & Trends
Smart Technologies &
Digitalization
• Industry / Logistics 4.0
• Data Sharing / Security
• Technology Application
• Transparency & Tractability
Culture
• Language barriers
• Cultural differences
• Mindset change
• Rising middle class in China
Infrastructure
• Limited capacity of sea and air
transportation
• Last mile delivery
• Unstable logistics networks
Enabling Challenges
Exogenous SC Challenges
Sustainability & Environment
• Sustainability initiatives without higher prices
• Increasing CSR
• Reduce CO2 emissions within the supply chain
• Sustainability through supplier assessment
Changing Markets & New Business Models
• Dynamic Markets shorter product life cycles
• E-Commerce and Multi-Channel
• Global Migrations
• Increasing delivery points
Regulations & Politics
• Unpredictable political effects
• Local protection from government
• Cross-border shipments
• Regulations for international e-commerce
Costs
• Cost pressure in all dimensions
• High transportation cost, Rising labor cost, Increasing
energy costs
Network Complexity
• Manage more involved SC partners and stakeholders
• Negotiations with vendors and 3PLs
• Lack of local supplier knowhow
• Raw materials from oversea
Organization
• Organization changes
• Expertise of people
• Communication & Flexibility
• New needs for employee qualifications
Endogenous SC Challenges