A benefit of the ISO 9000 series of specifications is that purchasers may accept ISO 9001 certifications, minimizing additional surveys.  ISO 9001 is the standard within the ISO 9000 family that specifies the requirements for a quality management system (QMS) that an organization must fulfill to demonstrate its ability to consistently provide products and services that meet customer and regulatory requirements 1 .  ISO 9001 certification is a third-party verification that an organization has implemented and maintained a QMS that conforms to the ISO 9001 standard 2 .  By obtaining ISO 9001 certification, an organization can provide objective evidence of its quality performance to its customers, suppliers, regulators, and other stakeholders 3 .  This can reduce the need for additional audits or surveys by the purchasers, as they can rely on the ISO 9001 certification as a proof of quality assurance 4 .  This can save time, money, and resources for both the purchasers and the suppliers, as well as improve their trust and confidence in each other 5 .

References :  1 : ISO 9000 Vs.  9001  3   2 : ISO 9000 Standard: Benefits, How to Achieve  4   3 : The Ultimate Guide to ISO 9000  5   4 : ISO 9000 Certification Guide  1   5 : ISO - Selection and use of the ISO 9000 family of standards  6

The information about the consistent overage in actual run time for one operation should be sent first to the engineering manager to evaluate the run time for the routing. A routing is a document that specifies the sequence of operations and work centers required to produce a product or feature. A run time is the amount of time needed to perform an operation or a task at a work center. An overage in actual run time means that the actual time spent on an operation or a task is more than the planned or standard time. This can result in lower efficiency, productivity, or quality, as well as higher costs, waste, or delays.

The engineering manager is responsible for designing and maintaining the routing and the run time for each operation or task. The engineering manager can evaluate the run time for the routing by comparing the actual and planned times, identifying the causes of the overage, and taking corrective actions. For example, the engineering manager may:

Review the accuracy and validity of the planned or standard time, and update it if necessary.

Analyze the performance and capability of the machines, equipment, or labor involved in the operation or task, and improve them if needed.

Investigate the presence of any errors, defects, rework, or variability in the operation or task, and eliminate them if possible.

Implement lean production techniques, such as value stream mapping, waste reduction, or continuous improvement, to optimize the operation or task.

The other options are not appropriate for sending the information about the consistent overage in actual run time for one operation first. The product manager is not responsible for designing or maintaining the routing or the run time for each operation or task. The product manager is responsible for managing and marketing the product or feature, such as defining its specifications, features, price, or promotion. Increasing the selling price of the product is not a solution for addressing the overage in actual run time, as it may reduce customer demand or satisfaction, as well as increase competition. The quality manager is not responsible for designing or maintaining the routing or the run time for each operation or task. The quality manager is responsible for ensuring and improving the quality of the product or feature, such as setting quality standards, implementing quality control methods, or conducting quality audits. Adding a new quality measurement to the operation is not a solution for addressing the overage in actual run time, as it may increase complexity or cost without improving efficiency or productivity. The production supervisor is not responsible for designing or maintaining the routing or the run time for each operation or task. The production supervisor is responsible for overseeing and coordinating the production activities at a work center, such as scheduling operations, assigning resources, monitoring performance, or resolving issues. Reviewing and explaining the overage in actual run time is not a solution for addressing it, as it does not identify or eliminate its causes.

References  := [Routing - an overview | ScienceDirect Topics], [Run Time - an overview | ScienceDirect Topics] , [Engineering Manager Job Description - Betterteam], [Product Manager Job Description - Betterteam] , [Quality Manager Job Description - Betterteam], [Production Supervisor Job Description - Betterteam]

 The approved output of the distribution requirements planning (DRP) process is an input to the master production planning (MPS) process.  The DRP process determines the quantity and timing of finished goods to be delivered to each distribution center or warehouse to meet customer demand 1 .  The output of the DRP process is a distribution schedule that specifies the planned delivery dates and quantities of products 2 .  The distribution schedule is then used as an input to the MPS process, which determines the quantity and timing of end items to be produced at each manufacturing facility 3 .  The MPS process balances the demand from the distribution schedule with the available capacity and resources of the production system 3 .  The output of the MPS process is a master production schedule that specifies the planned production dates and quantities of end items 3 .

References : CPIM Part 2 Exam Content Manual, Domain 4: Plan and Manage Supply, Section 4.1: Supply Management Concepts and Tools, p. 33-34.

 A cradle-to-cradle sustainability model is a design approach that seeks to reuse all materials and components and eliminate waste.  It is based on the concept of circular economy, which aims to keep materials in use for as long as possible and regenerate natural systems 1 2 .  A cradle-to-cradle sustainability model follows the principle of a potentially infinite circular economy, where all products are designed to be either biodegradable or recyclable 3 .

An example of a cradle-to-cradle sustainability model would be a coffee shop that collects paper waste in its restaurants, has a selected supplier collect the paper waste to be recycled, and then purchases paper products from that supplier. This example shows how the coffee shop closes the loop of the paper material cycle, by reusing the paper waste as an input for new paper products. This way, the coffee shop reduces its environmental impact, saves resources, and supports the circular economy.

The other options are not examples of a cradle-to-cradle sustainability model, because they do not reuse all materials and components and eliminate waste.  A laundry service that collects dirty baby clothes from families, cleans them in large, efficient batches, and then sorts and delivers them back to each family is an example of a service-based business model, which reduces the need for owning products and extends their lifespan, but does not necessarily reuse or recycle the materials 4 .  A company that uses wood that has been gathered from multiple sources to construct items, such as beds and toys for babies and young children is an example of a product-based business model, which may use renewable or recycled materials, but does not guarantee that the products are biodegradable or recyclable 5 .  A bank that offers the lowest interest rates on loans to firms that are committed to using recycled materials and implementing zero-waste initiatives in their processes is an example of a financial incentive scheme, which encourages sustainable practices, but does not directly reuse or recycle materials 6 .

 Time-to-market (TTM) is the length of time it takes to develop a product from conception until it is released to the market and is available for sale 1 .  Reducing TTM can provide a competitive advantage, as it can help a company to capture customer demand, respond to market changes, and increase profitability 1 .

One strategy to decrease TTM for a new product family is to increase collaboration between the buyer and the supplier of new components.  Collaboration can involve sharing information, resources, risks, and rewards among supply chain partners to achieve mutual benefits 2 .  By collaborating with the supplier of new components, the buyer can improve the quality, reliability, and innovation of the components, as well as reduce the costs, lead times, and uncertainties associated with them 2 . This can speed up the product development process and reduce the time and resources required to bring the new product family to the market.

The other options are not effective strategies to decrease TTM for a new product family.  Decreasing the number of suppliers for components of the new product may reduce the complexity and variability of the supply chain, but it may also increase the dependency and vulnerability on a single or few suppliers, which may affect the availability and performance of the components 3 .  Decreasing the purchasing lot size for the new product’s components may reduce the inventory carrying costs and risks, but it may also increase the ordering costs and frequency, which may affect the efficiency and responsiveness of the supply chain 4 . Increasing the safety stocks for the new product’s components may reduce the risk of stockouts and delays, but it may also increase the inventory carrying costs and risks, as well as tie up cash flow and working capital.

References  :  Time to market: Definition and strategies to speed up TTM ;  Time To Market (TTM) Defined & Why It’s Important | TCGen ;  Market Timing Tips Every Investor Should Know ;  Supply Chain Collaboration: Definition & Benefits ; [Supplier Consolidation: Definition & Benefits]; [Economic Order Quantity (EOQ) Model: Definition & Formula]; [Safety Stock: The Ultimate Guide] .

A lean relationship is a type of supplier-customer relationship that focuses on eliminating waste, improving quality, and reducing costs throughout the supply chain. A lean relationship requires a high level of collaboration, trust, and transparency between the supplier and the customer. Communication between the counterparts at the two companies is an essential activity that will enhance a successful lean relationship. Communication can help to align the goals, expectations, and performance measures of the supplier and the customer, as well as to identify and resolve any issues or problems that may arise. Communication can also facilitate information sharing, feedback, and continuous improvement initiatives.  References : CPIM Exam Content Manual Version 7.0, Domain 7: Plan and Manage Distribution, Section 7.1: Develop Distribution Plans, Subsection 7.1.3: Describe how to develop supplier-customer relationships (page 66).

Liability risk in the supply chain is the risk that a company may be held legally responsible for damages caused by its products or services, or by its business partners, such as suppliers, subcontractors, or customers 1 .  Liability risk can result in financial losses, legal penalties, reputational damage, and customer dissatisfaction 1 .

One way to mitigate liability risk in the supply chain is to require traceability for components, which means the ability to track the origin, history, location, and status of a product or its parts throughout the supply chain 2 .  Traceability can help a company to identify and prevent potential quality issues, defects, recalls, counterfeits, or frauds that may cause harm to the customers or the environment 2 .  Traceability can also help a company to comply with regulatory standards, customer requirements, and social responsibility expectations 2 .  Traceability can be achieved by using various methods, such as barcodes, RFID tags, serial numbers, blockchain, or cloud-based platforms 3 .

The other options are not effective ways to mitigate liability risk in the supply chain. Negotiating lower component cost may reduce the procurement expenses, but it may also compromise the quality and safety of the components, which may increase the liability risk. Pushing inventory to supplier locations may reduce the inventory carrying costs and risks, but it may also increase the dependency and vulnerability on the suppliers, which may expose the company to more liability risk. Using LTL shipments more frequently may reduce the transportation costs and emissions, but it may also increase the handling and damage risks of the products, which may affect the customer satisfaction and liability.

References  :  Understanding Supply Chain Risk: Liabilities | Avetta ;  What is Traceability in Supply Chain Management? ;  How to Achieve Supply Chain Traceability .

The measurement that indicates there may be bias in the forecast model is the tracking signal. The tracking signal is a ratio of the cumulative forecast error to the mean absolute deviation (MAD). The cumulative forecast error is the sum of the differences between the forecasted and actual values over a period of time. The MAD is the average of the absolute values of the forecast errors. The tracking signal can help detect and measure the bias of a forecast model by comparing the magnitude and direction of the forecast errors. A positive tracking signal indicates that the forecast model is consistently over-forecasting, while a negative tracking signal indicates that the forecast model is consistently under-forecasting. A zero tracking signal indicates that there is no bias in the forecast model. A rule of thumb is that if the tracking signal exceeds a certain threshold, such as ±4, then there is a significant bias in the forecast model that needs to be corrected.

The other measurements do not indicate bias in the forecast model, but rather other aspects of the forecast accuracy or variability. The MAD is a measure of the average error or deviation of the forecast model from the actual values. The MAD does not indicate bias, as it does not consider the direction or sign of the errors. A low MAD indicates a high accuracy of the forecast model, while a high MAD indicates a low accuracy of the forecast model.

The standard deviation is a measure of the dispersion or variation of the forecast errors around their mean. The standard deviation does not indicate bias, as it does not consider the direction or sign of the errors. A low standard deviation indicates a low variability or uncertainty of the forecast model, while a high standard deviation indicates a high variability or uncertainty of the forecast model.

The variance is a measure of the squared deviation or dispersion of the forecast errors around their mean. The variance does not indicate bias, as it does not consider the direction or sign of the errors. The variance is related to the standard deviation, as it is equal to the square of the standard deviation. A low variance indicates a low variability or uncertainty of the forecast model, while a high variance indicates a high variability or uncertainty of the forecast model.

References  :=  Forecast KPI: RMSE, MAE, MAPE & Bias | Towards Data Science ,  A Critical Look at Measuring and Calculating Forecast Bias – Demand Planning ,  Forecast bias - Wikipedia

 Failure Mode and Effects Analysis (FMEA) is a systematic, proactive method for identifying and evaluating the potential causes and impacts of failures in a process, product, or service 1 .  It aims to anticipate and prevent failures by assessing the relative effect and risk of different failure modes 1 .

The use of FMEA would be most appropriate prior to a new product introduction (NPI). During the NPI phase, FMEA can be used to identify potential failure modes in the design of the product and assess their potential effects on the product’s performance and reliability. This allows for proactive measures to be taken to mitigate or eliminate these risks before the product is launched.  FMEA is particularly useful in the early stages of design, as it helps in making informed decisions that can improve the quality and safety of the product 1 .

In contrast, using FMEA after a one-time quality incident investigation (A) or during evaluation of a new market opportunity © may not be as effective, as these situations do not involve the design or development of a product or process. While FMEA can be used during the define phase of a Six Sigma project (B), its most impactful application is during the design phase of a new product, where it can significantly influence the final outcome.

A purchase order is issued to the supplier for each delivery requirement is an activity that represents waste in a system. Waste is any activity or process that does not add value to the customer or the product, but consumes resources, time, or money. Waste can reduce the efficiency, productivity, and quality of the system, as well as increase the costs, defects, or delays.  Waste can be classified into seven types: overproduction, inventory, transportation, motion, waiting, overprocessing, and defects 1 .

Issuing a purchase order to the supplier for each delivery requirement is an example of overprocessing waste. Overprocessing waste is any activity or process that is unnecessary or excessive for meeting the customer needs or specifications. Overprocessing waste can result from poor communication, unclear requirements, redundant tasks, or outdated procedures. Issuing a purchase order to the supplier for each delivery requirement is an overprocessing waste because it involves more paperwork, approvals, and transactions than needed. It can also create confusion, errors, or delays in the delivery process.  A better way to eliminate this waste is to use a pull system, such as kanban 2 , that signals the supplier to deliver only when there is a demand from the customer.

The other options are not activities that represent waste in a system. More kanbans with smaller quantities are added to the supply chain is an activity that reduces waste in a system. Kanban is a pull system that uses visual signals, such as cards or containers, to indicate when and how much to produce or deliver.  Kanban can help reduce waste by synchronizing the production and delivery processes with the customer demand, minimizing inventory levels, improving quality and efficiency, and preventing overproduction or underproduction 3 . Adding more kanbans with smaller quantities can help reduce inventory waste by lowering the holding costs, transportation costs, or obsolescence costs of inventory. It can also help reduce overproduction waste by producing or delivering only what is needed by the customer.

A kanban is eliminated from the system is an activity that reduces waste in a system. Eliminating a kanban from the system means reducing the number of signals or containers used in the production or delivery process.  Eliminating a kanban from the system can help reduce waste by increasing the throughput and velocity of the process, reducing cycle times and lead times, improving responsiveness and flexibility, and enhancing customer satisfaction 4 .

A production forecast is issued to the supplier is not an activity that represents waste in a system. A production forecast is an estimate of the future demand or sales of a product or service. A production forecast can help plan and manage the production and delivery processes by determining how much and when to produce or deliver.  A production forecast can help reduce waste by optimizing the use of resources and capacity, minimizing inventory levels and costs, improving service levels and quality, and avoiding stockouts or shortages 5 . Issuing a production forecast to the supplier can help align the production and delivery processes with the customer demand and expectations.

References  :=  The 7 Wastes With Examples: How to Identify Them | Lean Manufacturing ,  What Is Overprocessing Waste? Definition And Examples ,  Kanban - Wikipedia ,  How To Reduce Inventory With Kanban | Lean Manufacturing ,  Production Forecasting - an overview | ScienceDirect Topics