The topics covered in the training will be:

 Overview of the processes: From order to cash

 Theory, SKF DC policies and work procedures
 From DTF to order shipment (ICSS)
 Planning activities (MPSS)
 Procurement (MCSS)
 Component goods receiving (MCSS)
 Manufacturing (MCSS)
 Production declaration and delivery
 Storage in the factory warehouse
 Work order closing
 Up-to-date environment set-up
 Parameter setting & process

https://www.slideshare.net/TheSupplychainniche/introduction-to-supply-chain-
management-4264312

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Supply Chain Engineering - Coordination of product manufacturing and logistic activities across
the global supply chain is studied. Focus is on supply chain design, implementation, and control.
Topics include transportation and distribution networks, inventory control, demand planning,
materials handling and warehousing, supply chain contracts, manufacturing flexibility, product
design for responsiveness, and ERP systems. Supply chain analytics concepts and relevant case
studies are introduced.
 Distribution Logistics - Distribution logistics emphasizing systems engineering
techniques used to optimize corporate profit and customer service:
transportation modes; inventory policies; warehousing and order processing;
and the best logistics gross margin.
 Management Science - Linear programming: formulation, methodology, and
application; the transportation problem; the assignment problem; Markov chains
and their applications in decision making; queueing systems; deterministic and
stochastic inventory models.
 Project Management - Introduction to concepts of project management and
techniques for planning and controlling of resources to accomplish specific
project goals. While the focus is on technically oriented projects, the principles
discussed are applicable to the management of any project. Topics include time,
cost considerations, cash flow forecasting, financial and performance control,
documentation.
 Advanced Engineering Statistics - The foundations of modern quality
improvement, scientific basis of quality engineering, probability, statistical
inference, statistical experimental design issues such as randomized blocks,
factorial design at different levels, application to factorial design, building
models, and implementation and critique of Taguchi's contributions. Statistical
software is used in the data analysis.
 Engineering Cost and Production Economics - Cost management of
operational activities. Focuses on capital investment decision making and
efficient resource utilization to achieve cost-effective operations. Topics include
alternative investment evaluation, budgeting activity based costing, quality costs,
life cycle management and relevant behavioral science. These are considered in
the context of manufacturing and service industry application
Why study Supply Chain Engineering at NJIT?
The NJIT supply chain initiative will help enable you to build flexible manufacturing
solutions for use within small to medium-sized companies. You will help develop a
methodology for evaluating the quality manufacturability of new designs from an
assembly perspective. This program is related to all manufacturing industries and all
transportation/distribution related service industries. Potential job titles include:
 Supply Chain Engineer
 Logistics Planner
 Transportation Analyst
 Terminal Manager
 Purchasing Agent
 Dispatch Coordinator
 Customer Service Agent
 Distribution Analyst

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  Warehouse Supervisor
Prerequisites
Students who do not have a bachelor of science degree in industrial engineering may be
admitted and required to complete the bridge program, especially in the areas of
statistics, cost analysis and engineering economics. Bridge courses do not count toward
degree requirements. A minimum of 30 credits beyond a baccalaureate degree is
required.

Emphasizing a quantitative approach, Supply Chain Engineering: Models and

Applications provides state-of-the-art mathematical models, concepts, and solution
methods important in the design, control, operation, and management of global
supply chains. The text provides an understanding of how companies plan, source,
make, and deliver their products to create and/or maintain a global competitive
advantage. It emphasizes application of operations research models and methods to
optimize the various components of an integrated supply chain.

The authors have carefully constructed the book so that it is not so "micro" in its
focus that the perspective on the larger business problem is lost, nor is it so "macro"
in its treatment of that business context that it fails to develop students’ appreciation
for, and skills to solve, the tactical problems that must be addressed in effectively
managing flows of goods in supply chains. Building students’ knowledge of the first
principles of supply chain engineering, the book covers the traditional issues in
operations, logistics, and supply chain management―forecasting demand, managing
inventories, managing transportation, and locating facilities. It also includes a
number of new optimization tools such as risk pooling, for addressing these
problems, based on recent research.

In addition, the authors’ treatment of managing customer-supplier relations supplies

a fresh perspective that draws on recent research using multiple criteria optimization
methods. Moreover, the chapter on managing risks in supply chains presents
important problems that extend beyond the traditional treatment of supply chain
management. Building a bridge between theory and practice, the authors pull all of
these themes together in the culminating chapter that solidifies students’
understanding of managing global supply chains.

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 Fundamentals of Supply Chain Theory
Lawrence V. Snyder, Zuo-Jun Max Shen
ISBN: 978-0-470-52130-4 August 2011 400 Pages

An authoritative, quantitative approach to

supply chain management

Addressing the need for the study of supply chain management to evolve at the same
pace as it's real-world practice, Fundamentals of Supply Chain Theory presents the
methodology and foundations of the topic and also demonstrates how recent
developments build upon classic models. The authors focus on strategic and tactical
aspects of supply chain management, covering a broad range of topics from forecasting,
inventory management, and facility location to process flexibility, contracting, and
auctions.

Key mathematical models for optimizing the design, operation, and evaluation of supply
chains are presented as well as models currently emerging from the research frontier.
Following a thorough introduction, the book delves into a discussion of centralized
models, including:

 Forecasting and demand modeling

 Deterministic inventory models
 Stochastic inventory models
 Multi-Echelon inventory models
 Processes for dealing with uncertainty in inventory optimization and facility location
 Facility location models
 Process flexibility

In addition, the authors present decentralized models that involve multiple parties with
independent, conflicting objectives, covering topics such as:

 The bullwhip effect

 Supply chain contracts
 Auctions

Each chapter concludes with a set of problems that challenge readers to understand,
interpret, and extend the discussed models and algorithms. In addition, extensive

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appendices provide guidance on writing proofs and also outline helpful formulas related
to probability theory, calculus, and algebra.

Extensively class-tested to ensure an easy-to-follow presentation, Fundamentals of

Supply Chain Theory is a suitable book for business and engineering courses on supply
chain management at the graduate level. The book also serves as an authoritative
reference for academics and practitioners working in the areas of operations research,
business, management science, and industrial engineering.

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