Advanced Supply Chain Planning

Aim

The aim of the course is for students to gain a deep understanding of how supply chains can be planned, modeled and analyzed, mainly with the help of quantitative methods. After the course, students should be able to:

• carry out investment analysis for logistics resources and assess how different planning decisions can be valued in relation to expected returns
• convert a customer's wishes into a production order and / or a purchase order within different planning philosophies and thus be able to- use principles within Manufacturing Resource Planning (MRPII)- apply principles within Lean Production- apply principles within Theory of Constraints
• manage uncertainty in both time and quantity when planning in supply chains and be able to assess risks of delays and / or disruptions.
• perform advanced inventory management and business planning with the help of cost-minimizing models and methods where, among other things, the connection between inventory, pace and time is vital
• manage methods to even out flows
• perform total cost analysis and profitability analysis in the event of changes in a supply chain
• know the planning function's opportunities to influence sustainable development in a business and its supply chains
• know the basics of how distribution and transport can be planned in a cost-effective way in logistics networks

Content

The course looks at the planning problems in a supply chain by analyzing different methods for planning the use of logistics resources at different levels. The course is permeated by the use of quantitative modeling for planning and scheduling and contains the following parts.

Part 1: Decision analysis, financing and investment analysis

• Decision analysis under uncertainty.
• Analysis of alternative returns (discount rate) and the background to why tied up capital in inventory is seen as a cost.
• Cash flow analysis and present value calculation with regard to tax and inflation.

Part 2a: Planning strategies

• MRPII – efficiency-based hirarchical planning and control in several levels with capacity reconciliations in a value-creating business.
• Just-In-Time – Lean production and lean-based planning and control
• Theory of Constraints – limitation-based planning and control through for example Drum-Buffer-Rope

Part 2b: Advanced planning technology and advanced inventory management with deep diving in, among other things:

• analysis of different types of security measures to deal with uncertainty in time and / or quantity, where costs are weighed against the degree of service level
• planning with regard to stochastic operating times
• lead time analysis under uncertainty
• analysis of special, dynamic and optimizing batch forming methods
• cyclic planning and the choice of optimal cycle time
• minimize total cost in a synchronized supply chain, EOQ in linked warehouses
• mixed model scheduling

Part 3: Supply Chain Optimization

• Total cost analysis and system analysis.
• Industrial Case: optimal plan for raw material procurement, production and distribution
• Basic distribution and transport planning
• Multi-level inventory control as a way to control inventory along a supply chain.