Supply Chain Management Expert | Accredited

Explore how procurement decisions relate to crude oil price changes, and learn about forward contracts, futures, and money market hedges in supply chain management.

Understand how dollar-denominated commodity prices interact with exchange rates, creating an inverse relationship where a stronger dollar can soften commodity costs, though not in a precise 1-to-1 way.

Discover how market makers ensure liquidity by quoting bid and ask prices, earning from the spread, and how the mid price represents the average when two prices exist.

Learn how forward contracts let firms lock in future prices for fuel, currency, metals, or food, hedge exposure to spot rates, with otc, customization, and counterparty risk.

Explain how futures standardize dates and amounts, reduce risk with clearing houses, and offer easier trading and getting rid of contracts when needs change, compared to forwards.

Understand how forward contracts fix future prices and how options grant the right, not the obligation, to buy or sell at a strike price by expiry, including premium and exercise.

Learn how premium and discount quotations adjust the spot EUR/USD rate for forward contracts, using basis points to add or subtract from the current rate and interpret forward prices.

Incoterms introduction and responsibility for costs like damage, import duties, and terminal expenses in international shipping, illustrated by Bono's cross-border sculpture trade.

Clarify who bears expenses and risks in international shipments to prevent miscommunication by selecting one of the ICC's 11 incoterms and specifying the delivery point. Use 2020 version as reference.

Discover how the eight most used incoterms define transfer of risk and who pays expenses, from ex works to named place, with examples like x w and free carrier.

Explain how floating and fixed exchange rates affect supply chains, illustrate ISO currency codes like USD, EUR, and AED, and introduce hedging with instruments to manage currency risk.

Explore how a money market hedge reduces currency risk in international transactions, using Akzo Nobel’s euro-dollar example and foreign currency accounts, to lock in future euro values.

Borrow dollars to secure a 1 million USD repayment, convert at the spot rate to euros, and deposit euros to earn 5% for nine months, hedging currency risk.

Explore hedge methods for exchange rate developments, including money market hedges, forward contracts, futures, and options, and see how a two-month forward locks the rate at $1.1 per €1.

Identify and manage risks to address unwanted events in operations by preventing them and preventing their reoccurrence. Explore tools to act and react to risks in upcoming lectures.

Learn how a corrective action request signals non-conformance, identifies root causes, and prescribes actions with follow-up to resolve issues and protect capacity and revenue.

Understand preventive action requests (pas) as proactive cousins of corrective action requests (car) and how to prevent tool misplacement in storage with a ledger system and a June 30 follow-up.

A cross-cultural case study on a failed consultancy project, contrasting German and Japanese ethical standards, shows how norms about sick coworkers shape collaboration and reveal no universal framework.

Explore John Elkington's triple bottom line theory, expanding business performance from profit to economic, environmental, and social dimensions, including fair wages, safe labor, and carbon reduction.

Explore Carroll's CSR pyramid as a realistic framework for corporate social responsibility, detailing economic, legal, ethical, and philanthropic responsibilities and their interdependence.

Examine real examples of ethical and green supply chains, including supplier codes of conduct, blockchain traceability, fair trade partnerships, and large multi firm alliances like the RBA.

Explore the core role of cash flows in supply chains, including the cash-to-cash cycle, discount rate, present value, and future value, through the Lombardi family case.

Explore the cash-to-cash cycle and how receivable, inventory, and payable days drive a company’s cash conversion, showing why a shorter cycle signals a more efficient supply chain.

Explore the time value of money through the Lombardi family saga, from immigrant beginnings to the Great Depression, highlighting present value and the discount rate.

understand the discount rate and the time value of money through a €100 example with a 10% return, noting the rate is context-specific and often provided by the finance department.

Explore future value and present value concepts using a 10% annual discount rate, with practical calculations showing how €100 grows to €121 in two years.

Compute present value from future value using the formula present value equals future value divided by (1 plus discount rate) raised to time. See €121 in two years at 10%.

Compare two product investments, a and b, considering upfront costs, cash flows, and the present value to determine the smarter choice.

Calculate present value with a 20% discount rate and compute the net present value by including costs and earnings, showing option B as more attractive after NPV analysis.

Explore the latest developments in supply chain management, including innovations, changes, and new technologies shaping modern practice.

Explore how blockchain turns a traditional database into a decentralized, multi-party ledger that records production steps from source to end customer, boosting traceability and reducing counterfeiting in supply chains.

Explore how the internet of things (IoT) enables real-time tracking with RFID tags, predictive maintenance, and climate monitoring in supply chains from the beginning to the end of the journey.

See how excess inventory drives creative solutions as Nintendo used two screens to build Punch-Out. Learn why cautious inventory levels prevent steep financial risks in supply chains.

Explore how holding costs shape inventory decisions, including storage space, depreciation, and the cost of capital, illustrated by Nike’s early innovation journey.

Balance holding costs and ordering costs to determine the economic order quantity (EOQ) for raw materials, minimizing capital tied up and depreciation.

Compute the economic order quantity (EOQ) from demand, holding cost, and ordering cost. Align the example with D=12,000/year, S=$18, h=$1.20/unit/year, showing EOQ=600 units and 20 orders per year.

Explore the EOQ model, its assumptions (constant demand, immediate replenishment, no quantity discounts), and how to balance order and holding costs with finance input.

Explore the limitations of the economic order quantity model, noting its simplifying assumptions, constant holding costs, and how fluctuating demand affects decision making.

Explore ABC analysis and its application to inventory management. Explain how an airline revenue analogy illustrates this classification concept.

Apply abc analysis to inventory by classifying items into a, b, and c groups, where the small a group drives most value, guiding ordering, storage, monitoring, and staffing.

The lecture demonstrates ABC analysis on inventory, calculating total value (quantity × price), ranking by value, and using cumulative percentages to classify items into A, B, and C.

Explore the production process within the supply chain using the DeLorean case to illustrate how design choices and quality control influence reliability, capital attraction, and production viability.

Evaluate fifo production scheduling for a small furniture factory handling four customer orders by due dates. Analyze lateness, earliness, makespan, total time in the production system, and work-in-progress.

Compare fifo and lifo production scheduling, analyze due dates, lateness, earliness, and makespan, and assess which method minimizes key performance metrics for furniture and similar contexts.

Compare production scheduling approaches like earliest due date first and longest operating time first, evaluating metrics such as lateness, whip, and earliness to choose the best method for your situation.

Analyze and compare FIFO and LIFO production schedules under a robot boss scenario using orders with processing times and due dates, evaluating total lateness, average lateness, makespan, and earliness.

Compare LIFO and FIFO scheduling using orders, due dates, and processing times; compute makespan, total time in production, and average whip, then assess lateness and earliness.

Explore make to stock, make to order, and engineer to order production methods and their fit for demand and customization, illustrated by Coca-Cola and cars.

Learn to measure process quality with first time right (FDR) percentages, interpret rework data, and drive improvement through root cause analysis and affinity diagram techniques.

Compute the order fulfillment cycle time by summing order processing, scheduling, printing, shipping, and delivery in a print-on-demand workflow, and benchmark offsets against industry and historical data to assess trends.

Learn how learning curves quantify how time decreases with experience, enabling managers to estimate unit production time from the first to the thousandth for planning.

Learn how doubling production lowers labor time, illustrated by the 100 to 80 to 64 pattern, and apply the t_n = T1 n^B learning-curve formula.

Apply learning curves to estimate labor time as production doubles, using an 85% learning rate to compute unit times and total hours for multiple boats.

Learn how to apply the coefficient approach to learning curves, using a table of learning rates to convert the first unit time into the total time for 50 boats.

Explore forecasting in supply chain management, acknowledging that no forecast can be perfectly accurate, and learn practical methods in this new section designed to improve prediction accuracy.

Trace the origins of forecasting in production planning by following Nintendo's early hanafuda business from Kyoto to modern gaming, and preview the forecasting techniques covered in upcoming videos.

Learn how to forecast using two approaches: quantitative forecasting analyzes sales data and numbers, while qualitative forecasting relies on expert insights and experience.

Recognize demand patterns such as horizontal, seasonal, cyclical, random, and trend to guide rough forecasts and select forecasting tools, with examples from food, real estate, and consumer tech.

Explore naive forecasting as a simple, sometimes superior method and compare forecast errors to actual demand data. Learn how mean absolute deviation (mad) measures average forecasting deviation to evaluate performance.

Learn to compute and interpret absolute percentual error and mean absolute percentage error (MAPE) for forecasted versus actual demand, using 9% and 10% examples to guide lowering MAPE.

Learn simple moving average forecasting using the last two periods to predict March and April demand, compare errors and mape with naive methods, and explore time factors.

Explore moving averages and weighted moving averages, applying smoothing factors and weights that emphasize the most recent data to forecast demand and evaluate accuracy with mean absolute percentage error.

Practice moving averages on demand data with a three-period simple moving average and a three-period weighted moving average (weights 0.6, 0.3, 0.1), and compare via mape to pick best method.

Calculate the simple moving average with a three-period window and a three-period weighted moving average, then compute absolute errors and mean absolute percentage error to compare forecasting methods.