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Unit 13: Logistics Design and Operational Planning
Ad hoc tactical analyses such as freight lane balancing and ABC inventory analysis must Notes
be completed regularly to respond to changes in transportation rates, flows, and product
demands.
Regular supply chain planning and location analysis is becoming increasingly critical to
respond to changes in global material availability, market demands, and production
resource availability.
More tactical tools such as dynamic simulation and routing and scheduling algorithms
can be used to investigate and evaluate inventory and transportation alternatives.
The importance of such comprehensive planning and analysis methods and tools is growing
due to the possible alternatives to and complexity of global supply chains.
13.4 Keywords
Appraisal: Impartial analysis and evaluation conducted according to established criteria to
determine the acceptability, merit, or worth of an item.
Business Assumptions: It defines the characteristics of the general business environment,
including relevant market, consumer, and product trends and competitive actions.
Linear Programming: It is one of the most common techniques used for location analysis, selects
the optimal supply chain design from a number of available options while considering specific
constraints.
Logistics: The detailed coordination of a complex operation involving many people, facilities,
or supplies.
Logistics Design: Design for logistics is a series of concepts in the field of supply chain
management involving product and design approaches that help to control logistics costs and
increase customer service levels.
Management Assumptions: It defines the physical and economic characteristics of the current or
alternative logistics environment and is generally within the firm’s ability to change or refine.
Mathematical Programming Methods: They are classified as optimization techniques and are
one of the most widely used strategic and tactical logistics planning tools.
Mixed-Integer Programming: It is the other optimization solution technique successfully applied
to logistics problems.
Operational Planning: Operational planning is the process of linking strategic goals and
objectives to tactical goals and objectives.
Planning: Planning (also called forethought) is the process of thinking about and organizing the
activities required to achieve a desired goal.
Project Management: Project management is the discipline of planning, organizing, motivating,
and controlling resources to achieve specific goals.
Project Planning: Project planning is the development of tasks and a schedule to keep a project
moving forward.
Simulation: It is the process of designing a model of a real system and conducting experiments
with this model for the purpose of either understanding system behaviour or of evaluating
various strategies within the limits imposed by a criterion or set of criteria for the operation of
the system.
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